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AI-KSK Civitai 模型与工作流

集中检索 AI-KSK 在 Civitai 公开发布的模型、LoRA 与工作流，查看版本、基础模型和官方来源。

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MiniMax H3 Universal Video Redraw
Workflows 2026-08-17

MiniMax H3 Universal Video Redraw

This MiniMax H3 workflow is a general-purpose video redraw and generative upscale pipeline. It accepts an existing video, rebuilds the frames at a larger target size, and keeps the original audio connected to the output. It is useful for improving low-resolution clips, restoring AI video details, and giving an older render a cleaner second pass. The graph uses the Qwen3-VL 32B MiniMax H3 NVFP4 AWQ encoder, MiniMax H3 video and audio VAEs, a four-step FL2VA Turbo LoRA, SageAttention, and the MiniMax H3 native-audio-lock node. The source video can be trimmed before processing. An RTX enlargement stage prepares the target dimensions, after which MiniMax H3 image-to-video conditioning rebuilds the sequence with Euler sampling, a four-step simple schedule, and controlled denoise. The workflow is packaged as a ready-to-run ComfyUI graph for users who want to compare generative enlargement against conventional video scaling. Keep the original source, prompt, and duration unchanged when comparing versions so that visible differences come from the workflow structure rather than from changed creative inputs. Main features: - General video-to-video redraw for many source formats - Source-video trimming before generation - Native audio lock for preserving the original soundtrack - MiniMax H3 FL2VA four-step Turbo route - Qwen3-VL 32B MiniMax H3 text encoder - RTX enlargement before the generative pass - SageAttention memory-efficient acceleration - Four-step Euler sampling with controlled denoise Suggested workflow: Start with a clip shorter than 15 seconds and check that the source audio is clean. Set the output size before writing the refinement prompt. Describe the subject, texture quality, lighting, and camera behavior without changing the underlying action. If the redraw drifts too far from the source, simplify the prompt and lower the amount of new visual information requested. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2088886438984433665?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili Updates (Mainland China & Asia-Pacific) Watch the workflow demonstration and creative breakdown here: Bilibili Video:

MiniMax H3 148 downloads
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MiniMax H3 LightX2V Turbo
Workflows 2026-08-10

MiniMax H3 LightX2V Turbo

https://youtu.be/SUJkkT6XLHI This workflow is a LightX2V Turbo-style MiniMax H3 acceleration setup. It is made for quick image-to-video experiments where low step count and fast iteration matter more than a long, heavy render chain. The graph uses a MiniMax H3 pruned INT8 ConvRot model, a Qwen3-VL MiniMax INT8 ConvRot text encoder, MiniMax H3 video and audio VAEs, and a compact turbo sampling path. The connected scheduler is a simple 4-step route with er_sde sampling. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - LightX2V Turbo acceleration route for MiniMax H3 testing - MiniMax H3 pruned INT8 ConvRot model connection - Qwen3-VL MiniMax encoder and MiniMax H3 VAEs are wired into the output path - Simple 4-step schedule for very fast iteration - er_sde sampler selection in the connected sampler branch - 16:9 widescreen output route - Best used for quick motion previews and prompt screening before heavier renders Suggested workflow: Use this workflow as an early screening pass. Test whether the character, camera move, and broad motion direction work before moving to a heavier workflow. Keep facial acting and hand motion simple on the first run, then increase detail only after the image identity and motion rhythm stay stable. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424094640648194?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili Updates (Mainland China & A

MiniMax H3 233 downloads
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MiniMax H3 Full-Speed Cache
Workflows 2026-08-10

MiniMax H3 Full-Speed Cache

https://youtu.be/SUJkkT6XLHI This workflow is the full-speed MiniMax H3 acceleration version built around Larry Turbo, attention optimization, and cache-assisted execution. It is the more aggressive performance-oriented option in this batch. The connected graph keeps MiniMax H3 video generation as the core and adds the acceleration structure needed for the full-speed route. It is intended for users who already understand the normal MiniMax H3 workflow and now want to push iteration speed further. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - Full-speed MiniMax H3 acceleration workflow - Larry Turbo, attention optimization, and cache-oriented execution design - Built for faster repeated image-to-video testing - Keeps the MiniMax H3 model, encoder, VAE, sampler, and video output structure together - Useful for comparing maximum-speed output against safer baseline routes - Good match for hardware testing and practical production timing checks - Cover and workflow are matched to the full-speed cache version Suggested workflow: Use this version after you have already validated the prompt on a normal or lower-risk acceleration path. Keep a known good source image and prompt, then test how much quality you are willing to trade for speed. For production work, save a baseline output first so you can compare temporal stability and subject identity objectively. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086705735132983297?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Registe

MiniMax H3 203 downloads
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MiniMax H3 SageAttention Workflow
Workflows 2026-08-10

MiniMax H3 SageAttention Workflow

https://youtu.be/SUJkkT6XLHI This workflow combines a Larry Turbo MiniMax H3 route with a SageAttention acceleration environment. It is designed for users testing whether attention optimization can help MiniMax H3 video generation run more smoothly while keeping the graph easy to operate. The workflow keeps the familiar MiniMax H3 model, Qwen3-VL encoder, video VAE, audio VAE, scheduler, and SaveVideo structure, while the acceleration focus is the Larry Turbo plus SageAttention setup around the generation path. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 acceleration workflow prepared for a SageAttention environment - Larry Turbo style route for faster video generation tests - Connected MiniMax H3 model, encoder, and VAE chain - 16:9 video output orientation for common tutorial and demo formats - Short-step sampling path for practical iteration - Clean graph layout for testing speed, stability, and render consistency - Useful when comparing attention optimization against plain turbo routes Suggested workflow: Run the same source image and prompt that you use in the Larry Turbo workflow, then compare speed, output stability, and temporal consistency. Keep the first test strict and repeatable: same resolution, same duration, same prompt, and the same audio or motion request. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424118061641730?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 perform

MiniMax H3 190 downloads
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MiniMax H3 Larry Turbo Workflow
Workflows 2026-08-10

MiniMax H3 Larry Turbo Workflow

https://youtu.be/SUJkkT6XLHI This workflow focuses on a Larry Turbo LoRA acceleration route for MiniMax H3. It is aimed at users who want a compact, fast image-to-video setup with a turbo sampler strategy and a simple structure that is easy to test. The active chain uses a MiniMax H3 pruned INT8 ConvRot model, a Qwen3-VL MiniMax INT8 ConvRot text encoder, MiniMax H3 video and audio VAEs, and an enabled Larry Turbo LoRA. The graph is centered on a 16:9 output route and a short-step sampling setup. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - Larry Turbo LoRA is enabled on the reachable generation path - MiniMax H3 pruned INT8 ConvRot model route for lighter execution - Qwen3-VL MiniMax INT8 ConvRot text encoding - Euler sampling with a beta 6-step schedule - 16:9 widescreen resolution selector for video creation - Clean single-output SaveVideo route - Good fit for fast image-to-video speaking or character motion tests Suggested workflow: Use one clear starting image and keep the subject framed cleanly. Because this is a turbo route, test conservative prompts first: stable face, controlled hand motion, light camera movement, and a short spoken line if audio is used. If motion becomes too loose, reduce prompt complexity before changing the model path. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086333407625596929?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili

MiniMax H3 151 downloads
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MiniMax H3 INT8 W4A8 Workflow
Workflows 2026-08-10

MiniMax H3 INT8 W4A8 Workflow

https://youtu.be/SUJkkT6XLHI This workflow is a MiniMax H3 acceleration test built around INT8 and W4A8 quantized routes. It is useful when you want to compare lighter MiniMax H3 video generation branches without rebuilding the full graph from scratch. The connected graph uses MiniMax H3 FL2VA model routes, Qwen3-VL MiniMax text encoders, MiniMax H3 video VAE, and the MiniMax H3 audio VAE. The layout keeps multiple reachable output branches so you can compare the W4A8 mixed model route against INT8 ConvRot routes in one project. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 acceleration-oriented comparison workflow - W4A8 mixed and INT8 ConvRot model branches are staged in one graph - Qwen3-VL MiniMax encoders are connected to the active generation paths - Video VAE and audio VAE routes are included for FL2VA style output - Portrait 9:16 resolution selector is used in the connected branches - Res-multistep sampling with a simple 20-step schedule appears in the tested branches - Designed for quick side-by-side testing of quantized MiniMax H3 behavior Suggested workflow: Start by testing one branch at a time and keep the same image, prompt, seed strategy, and duration when comparing model variants. For fair speed and quality checks, avoid changing the prompt between branches, then review face stability, motion consistency, lip movement, and background drift before deciding which branch fits your hardware. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424109604515841?inviteCode=rh-v1111 If the results meet your expectations, you can

MiniMax H3 170 downloads
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MiniMax H3 Ref2V 6x 80GB
Workflows 2026-08-10

MiniMax H3 Ref2V 6x 80GB

https://youtu.be/SUJkkT6XLHI This workflow is the 80GB full-configuration reference-to-video acceleration version for MiniMax H3. It is the high-memory option in the Ref2V group and is meant for users who want the most headroom when testing reference-driven video generation. The inspected graph uses a MiniMax H3 Ref2VA pruned INT8 ConvRot model, Qwen3-VL MiniMax NVFP4/AWQ text encoding, MiniMax H3 video and audio VAEs, a connected MiniMaxH3ReferenceToVideo node, turbo LoRA acceleration, and SaveVideo output. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 reference-to-video workflow for 80GB-class hardware - Full-configuration member of the Ref2V acceleration group - Reference-to-video control path is connected to the output - Pruned INT8 ConvRot Ref2VA model route - Qwen3-VL MiniMax encoder with MiniMax H3 VAE components - Euler sampling with beta 6-step schedule - Best used as the high-memory comparison route against 24GB and 48GB versions Suggested workflow: Use this version when you can run a high-memory GPU and want to stress-test reference consistency. Keep the reference material identical to the lower-memory tests, then compare output stability, subject identity, scene adherence, and motion quality before choosing the production route. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086687097167400962?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibil

MiniMax H3 123 downloads
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MiniMax H3 Ref2V 6x 24GB
Workflows 2026-08-10

MiniMax H3 Ref2V 6x 24GB

https://youtu.be/SUJkkT6XLHI This workflow is the 24GB general reference-to-video acceleration version for MiniMax H3. It is made for users who need a reference-driven video route while still targeting a lighter memory configuration. The connected graph uses a MiniMax H3 Ref2VA model route, Qwen3-VL MiniMax text encoding, MiniMax H3 video and audio VAEs, a MiniMaxH3ReferenceToVideo control node, turbo acceleration, and SaveVideo output. The 24GB version is the practical entry point for this reference group. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 reference-to-video workflow for 24GB-class use - MiniMaxH3ReferenceToVideo node is connected in the active path - Reference input helps guide motion, subject, and scene behavior - Qwen3-VL MiniMax encoder and MiniMax H3 VAE chain - Euler sampling with a beta 6-step schedule in the inspected graph - 16:9 output route - Good starting point for reference-driven acceleration tests Suggested workflow: Use a clean reference image or reference package and keep the prompt explicit about which element should be preserved. Start with simple camera motion and readable action. If the reference relationship is correct, then test the 48GB and 80GB variants with the same source material. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424087903186946?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili Updates (Mainland

MiniMax H3 197 downloads
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MiniMax H3 Ref2V 6x 48GB
Workflows 2026-08-10

MiniMax H3 Ref2V 6x 48GB

https://youtu.be/SUJkkT6XLHI This workflow is the 48GB high-configuration reference-to-video acceleration version for MiniMax H3. It is designed for stronger GPU setups where the reference-driven route has more memory headroom than the 24GB general version. The active chain includes a MiniMax H3 Ref2VA INT8 ConvRot model, Qwen3-VL MiniMax NVFP4/AWQ text encoding, MiniMax H3 video and audio VAEs, MiniMaxH3ReferenceToVideo control, turbo LoRA acceleration, and SaveVideo output. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 reference-to-video workflow for 48GB-class hardware - Reference-to-video control node is part of the output path - INT8 ConvRot Ref2VA model route with Qwen3-VL MiniMax encoding - MiniMax H3 video and audio VAE components - Euler sampling with beta 6-step schedule - 16:9 horizontal video output - Middle-tier reference workflow between 24GB compatibility and 80GB full configuration Suggested workflow: Use this after the 24GB reference workflow has confirmed the reference direction. Keep the same reference material, prompt, duration, and seed strategy, then compare whether the 48GB route holds identity, lip motion, and camera movement more consistently. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424051652087809?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific re

MiniMax H3 103 downloads
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MiniMax H3 I2V 6x 80GB
Workflows 2026-08-10

MiniMax H3 I2V 6x 80GB

https://youtu.be/SUJkkT6XLHI This workflow is the 80GB full-configuration image-to-video acceleration version for MiniMax H3. It is intended for users running high-memory cloud GPUs or full local setups where compatibility is less important than headroom. The graph keeps the MiniMax H3 I2V route, Qwen3-VL MiniMax text encoding, MiniMax H3 VAE components, turbo acceleration, and a connected video output. The 80GB version is the high-memory member of the image-to-video group. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 image-to-video workflow for 80GB-class hardware - 6x-speed acceleration setup with a full-configuration target - Single image input controls identity, composition, and starting frame - Qwen3-VL MiniMax encoder and MiniMax H3 VAE chain - 16:9 widescreen output route - Best suited for high-memory RunPod, A100, H100, or similar cloud tests - Useful as the comparison ceiling for the 24GB and 48GB I2V versions Suggested workflow: Use this route when your hardware budget is no longer the main constraint. Compare it against the 24GB and 48GB versions with the same prompt and image. Watch for facial consistency, motion smoothness, prompt obedience, and whether the higher-memory setup gives enough practical benefit for your production workflow. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424039308251138?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super powe

MiniMax H3 87 downloads
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MiniMax H3 I2V 6x 24GB
Workflows 2026-08-10

MiniMax H3 I2V 6x 24GB

https://youtu.be/SUJkkT6XLHI This workflow is the 24GB general image-to-video acceleration version for MiniMax H3. It is prepared for users who want a practical 6x-speed style workflow that can run on more accessible local or cloud GPU configurations. The graph uses the MiniMax H3 image-to-video route with Qwen3-VL text encoding, MiniMax H3 video and audio VAE components, turbo acceleration, and a connected SaveVideo output. The 24GB label indicates the lighter general-purpose hardware target in this group. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 image-to-video workflow for 24GB-class use - 6x-speed acceleration concept for faster iteration - Single image input drives the starting frame and subject identity - Qwen3-VL MiniMax text encoding with MiniMax H3 VAE components - 16:9 video route for common horizontal output - Turbo-style short-step sampling path - Good starter version before moving to 48GB or 80GB variants Suggested workflow: Begin with the 24GB version if you want the most practical compatibility target. Use a clean input frame, keep the subject identity explicit, and ask for controlled motion first. Once the motion and lip sync are stable, you can move to the higher-memory variants for comparison. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424102268678145?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili Updates (Mainland China

MiniMax H3 190 downloads
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MiniMax H3 I2V 6x 48GB
Workflows 2026-08-10

MiniMax H3 I2V 6x 48GB

https://youtu.be/SUJkkT6XLHI This workflow is the 48GB high-configuration image-to-video acceleration version for MiniMax H3. It sits between the practical 24GB route and the full 80GB route, making it useful for stronger cloud GPUs or local workstations with more headroom. The workflow keeps the MiniMax H3 I2V generation structure, Qwen3-VL MiniMax text encoder, video and audio VAE routing, turbo acceleration, and final SaveVideo output. Compared with the 24GB target, this version is positioned for a more capable memory budget. This package is meant for practical ComfyUI and RunningHub users who want a ready-made MiniMax H3 graph instead of rebuilding loader, encoder, VAE, sampler, and video export connections by hand. The workflow is especially useful for speed comparison, hardware planning, and repeatable prompt tests. Keep the same source image and prompt when comparing versions so the difference you see comes from the workflow route, not from changing creative variables. Main features: - MiniMax H3 image-to-video workflow for 48GB-class hardware - 6x-speed acceleration setup for faster generation tests - Designed for single-frame driven character and scene motion - Qwen3-VL MiniMax text encoding and MiniMax H3 VAE components - 16:9 output route for tutorial, demo, and horizontal video use - A stronger middle option between 24GB compatibility and 80GB full configuration - Useful for comparing quality stability under a larger memory target Suggested workflow: Use the same image and prompt from the 24GB workflow, then compare whether the 48GB route gives better stability for complex lighting, face detail, or denser background motion. Keep the first test short and only change one variable at a time. For better comparisons, make one small test first, review identity stability and temporal motion, then raise prompt complexity only after the base route behaves correctly. When using speaking-character prompts, keep the face visible, avoid too many fast cuts, and separate action, expression, and camera instructions clearly. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2086424078784770050?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance

MiniMax H3 78 downloads
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MiniMax H3 Dual Digital Human
Workflows 2026-08-07

MiniMax H3 Dual Digital Human

This workflow extends the MiniMax H3 digital human setup to a two-character dialogue scene. It is built for controlled short drama, paired avatars, character interaction, and audio-driven conversation where each speaker needs distinct timing, expression, and visual role separation. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and final video output chain shown in the JSON. Main features: - MiniMax H3 dual-character reference-to-video route - Connected MiniMax H3 Ref2VA diffusion model with Qwen3-VL text encoding - Separate character references can define Subject 1 and Subject 2 - Scene reference can be used to keep the environment and visual tone consistent - Audio-driven timing supports staged speaker turns and dialogue beats - 16:9 widescreen output at the connected 0.9 megapixel resolution route - Final video combine route exports the generated scene as an audio-video result Suggested workflow: Assign each input a strict role before generation: one reference for the first character, one for the second character, and an optional scene reference for the environment. In the prompt, define who speaks during each time range and who stays silent. This helps reduce speaker confusion, mouth movement drift, and unwanted duplicate characters. RunningHub Workflow Try the workflow online right now - no installation required. Workflow: https://www.runninghub.ai/post/2085408407900762114?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. Bilibili Video: https://www.bilibili.com/video/BV1kUuW6FEVs/ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. Ko-fi: https://ko-fi.com/aiksk Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. 打开下方链接即可在线体验，无需安装。 工作流：https://www.runninghub.ai/post/2085408407900762114?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 和 48 GB 大显存性能。 B站视频（中国大陆及亚太地区） 如果你在中国

MiniMax H3 186 downloads
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MiniMax H3 Multi-Image R2V Workflow
Workflows 2026-08-05

MiniMax H3 Multi-Image R2V Workflow

This R2V workflow combines multiple image references with MiniMax H3 to build a short cinematic video. Different images can define the character, prop, environment, or visual language while the prompt controls how those references are staged over time. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with connected video VAE and Qwen3-VL encoder - MiniMaxH3ReferenceToVideo node for multi-image reference conditioning - Reference images can define identity, props, environment, and scene details - Connected 16:9 widescreen resolution route at the 0.4 megapixel setting - 20-step simple scheduler with res_multistep sampling - Prompt-controlled shot order, camera movement, action, and audio direction - Direct SaveVideo output for the generated result Suggested workflow: Assign each reference image a clear role in the prompt, such as character, object, or environment. Avoid giving two images conflicting identity instructions. Keep the first test short, verify the reference composition, then expand the action and camera description after the visual roles are stable. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084544634998575105?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084544634998575105?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 📵 B站视频：https://www.bilib

MiniMax H3 697 downloads
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MiniMax H3 Video-Only R2V Workflow
Workflows 2026-08-05

MiniMax H3 Video-Only R2V Workflow

This workflow uses a reference video to guide motion, shot timing, camera language, and cinematic pacing while MiniMax H3 generates a new visual result. It is useful for transferring movement structure without directly reusing the source performer's identity or appearance. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with connected video and audio VAE routes - MiniMaxH3ReferenceToVideo conditioning for video-only reference input - Motion, staging, camera direction, and edit rhythm can be described from the reference - Connected 16:9 widescreen resolution route at the 0.4 megapixel setting - 20-step simple scheduler and res_multistep sampler - Prompt-driven replacement of visual identity, environment, and subject design - SaveVideo output for a direct generated video file Suggested workflow: Use the reference video for movement and cinematography instructions only. In the prompt, explicitly describe the new subject and environment so the output does not copy unwanted identity details. Start with a short reference section, then add the replacement character and scene constraints. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084850819463208962?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084850819463208962?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 �

MiniMax H3 392 downloads
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MiniMax H3 Character-Motion R2V
Workflows 2026-08-05

MiniMax H3 Character-Motion R2V

This R2V workflow combines a character image, a scene image, and a motion video. It is designed for preserving the appearance of the person or character while transferring the movement pattern, stance changes, and performance rhythm from the video reference. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with video VAE and Qwen3-VL text encoding - MiniMaxH3ReferenceToVideo route for character, scene, and motion references - Character identity and scene composition can be described separately - Motion reference controls steps, body alignment, gestures, and performance rhythm - Connected 9:16 portrait widescreen resolution at the 0.4 megapixel setting - 20-step simple scheduler with res_multistep sampling - SaveVideo output for mobile and vertical video workflows Suggested workflow: Use the character image for identity, the scene image for environment, and the video only for motion. Keep those roles explicit in the prompt. Begin with a simple movement pattern, verify identity stability, then add more complex gestures or camera changes. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084850873976578049?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084850873976578049?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 📵 B站视频：https://www.bilibili.com/video/BV1MrMk69

MiniMax H3 488 downloads
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MiniMax H3 First-Frame I2V Workflow
Workflows 2026-08-05

MiniMax H3 First-Frame I2V Workflow

This workflow uses a first image as the visual starting point for MiniMax H3 image-to-video generation. It is intended for animating a designed keyframe while keeping the opening composition recognizable, with the prompt controlling motion, camera language, scene development, and generated audio. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with the connected video VAE and Qwen3-VL encoder - First-frame image conditioning for a controlled image-to-video start - Prompt-guided camera movement, subject motion, atmosphere, and audio direction - Connected 9:16 portrait widescreen resolution route at the 0.8 megapixel setting - 20-step simple scheduler with the res_multistep sampler - Duration conversion for the model's valid frame-length grid - Direct CreateVideo and SaveVideo output chain Suggested workflow: Load a clean starting image and describe the intended movement in the prompt. Keep the first shot simple so the model can preserve the opening identity and composition. Choose the portrait resolution when the source is designed for Shorts or mobile video, then tune duration and motion wording before changing sampling settings. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084850825154875394?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084850825154875394?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国

MiniMax H3 483 downloads
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MiniMax H3 Start-End Frame Workflow
Workflows 2026-08-05

MiniMax H3 Start-End Frame Workflow

This workflow uses the MiniMax H3 reference-to-video route for a controlled transition between two visual states. It is suited to shots where both the opening composition and the final reveal need to remain intentional instead of drifting through an unconstrained generation. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with video VAE and Qwen3-VL text encoder - Start and end image guidance for a structured visual transition - Prompt control for camera movement, subject action, scene continuity, and audio - Connected 9:16 portrait widescreen resolution route at the 0.8 megapixel setting - 20-step simple scheduler with res_multistep sampling - Frame duration conversion for the H3 temporal block structure - Two SaveVideo output paths are present; use the connected final route for publication Suggested workflow: Prepare the start and end images with compatible subject identity and composition. Describe the transition as a sequence, including what moves first and what must be visible at the final moment. Use the portrait route for vertical content, then adjust duration and prompt timing before changing the core sampler. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084850865038520322?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084850865038520322?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你

MiniMax H3 339 downloads
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MiniMax H3 Text-to-Video Workflow
Workflows 2026-08-05

MiniMax H3 Text-to-Video Workflow

This workflow is a local ComfyUI text-to-video setup for MiniMax H3. It turns one prompt into a cinematic video with synchronized visual and audio generation, making it useful for concept shots, short narrative clips, music-driven scenes, and fast model testing. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with the connected video VAE and Qwen3-VL text encoder - Text-driven video generation with prompt control over shots, camera movement, dialogue, sound effects, and music - Resolution Selector with a connected 16:9 widescreen route at the 0.8 megapixel setting - 20-step simple scheduler with the res_multistep sampler route - Duration input converted to a valid video frame length for the H3 frame-block requirement - CreateVideo and SaveVideo nodes for a direct video output path - Native audio-aware generation instead of adding a separate soundtrack afterward Suggested workflow: Load the MiniMax H3 model, video VAE, and Qwen3-VL encoder first. Write the visual action and audio direction in one prompt, choose the duration, then select the connected 16:9 resolution. Keep the sampler and scheduler settings stable while testing prompts; adjust duration and prompt structure before changing the model route. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084544656423088130?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084544656423088130?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义

MiniMax H3 301 downloads
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MiniMax H3 Character-Video-Audio R2V
Workflows 2026-08-05

MiniMax H3 Character-Video-Audio R2V

This workflow combines a character image, a reference video, and a matching video audio track. It is intended for replacing the original visual identity while retaining the useful motion, staging, and sound relationship from the reference sequence. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with connected video and audio VAE routes - MiniMaxH3ReferenceToVideo conditioning for image, video, and paired audio references - Character image controls identity and visual design - Reference video controls movement, camera blocking, and scene rhythm - Paired audio keeps timing and sound behavior aligned with the reference sequence - Connected 9:16 portrait widescreen resolution at the 0.4 megapixel setting - SaveVideo output preserves the generated visual and audio result Suggested workflow: Give each source a single role: image for identity, video for motion and staging, and its paired audio for timing and sound behavior. Explicitly state what must be replaced and what may be retained. Test with a short sequence before adding complex camera choreography. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084608990058733569?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084608990058733569?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 📵 B站视频：https://www.bilibili.com

MiniMax H3 338 downloads
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MiniMax H3 End-Frame I2V Workflow
Workflows 2026-08-05

MiniMax H3 End-Frame I2V Workflow

This workflow is an end-frame-oriented MiniMax H3 video setup. Use it when the final visual state matters and the generated motion should lead toward a target image, character pose, scene composition, or cinematic reveal. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with connected video VAE and Qwen3-VL text encoding - End-frame image guidance for a controlled visual destination - Prompt-based control over transitions, movement, camera timing, and audio - Connected 16:9 widescreen resolution route at the 0.8 megapixel setting - 20-step simple scheduler and res_multistep sampling route - Duration input mapped to the valid H3 frame-length pattern - Video creation and saving nodes connected to the final output Suggested workflow: Prepare the target end image and describe how the scene should evolve toward it. Use explicit transition language and avoid asking for unrelated composition changes near the end of the prompt. Start with the default 16:9 route, check the final frame behavior, and then refine duration or motion intensity. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084544642758037506?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084544642758037506?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 📵 B站视频：https://www.bilibili.com/video/BV1MrMk69Ejk/

MiniMax H3 220 downloads
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MiniMax H3 Motion-New Audio R2V
Workflows 2026-08-05

MiniMax H3 Motion-New Audio R2V

This workflow combines a character image, a motion video, and a separate new audio track. It is useful for keeping the subject identity and visible performance structure while replacing the original soundtrack with a new voice, music, or sound design direction. The workflow uses the MiniMax H3 local ComfyUI graph with the connected model, VAE, encoder, sampler, resolution, and video output chain shown in the JSON. Main features: - MiniMax H3 FL2VA diffusion model with connected video and audio VAE routes - MiniMaxH3ReferenceToVideo conditioning for character image and motion video - Independent new audio reference is used instead of the original video soundtrack - Character identity and performance motion can be controlled as separate inputs - Connected 9:16 portrait widescreen resolution at the 0.4 megapixel setting - 20-step simple scheduler with res_multistep sampling - SaveVideo output for a combined visual and audio result Suggested workflow: Use the image to define who appears, the video to define how the subject moves, and the new audio to define the sound track or vocal performance. State clearly that the original audio should not be reused. Keep the motion description concise and test audio timing before expanding the scene. ⚡ RunningHub Workflow Try the workflow online right now - no installation required. 👉 Workflow: https://www.runninghub.ai/post/2084910702598381569?inviteCode=rh-v1111 If the results meet your expectations, you can later deploy it locally for customization. 🎁 Fan Benefits: Register to get 1000 points + daily login 100 points - enjoy 4090 performance and 48 GB super power! 📵 Bilibili Updates (Mainland China & Asia-Pacific) If you're in the Asia-Pacific region, you can watch the video below to see the workflow demonstration and creative breakdown. 📵 Bilibili Video: https://www.bilibili.com/video/BV1MrMk69Ejk/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a coffee. Every bit of support helps me keep creating. 👉 Ko-fi: https://ko-fi.com/aiksk 📬 Business Contact For collaboration or inquiries, please contact aiksk95 on WeChat. ⚡ 打开下方链接即可在线体验，无需安装。 👉 工作流：https://www.runninghub.ai/post/2084910702598381569?inviteCode=rh-v1111 如果你觉得效果理想，也可以在本地进行自定义部署。 🎁 粉丝福利：注册即可领取 1000 积分，每日登录再领 100 积分，体验 4090 与 48 GB 超大显存性能。 📵 B站视频（中国大陆及亚洲地区） 如果你在中国大陆或亚洲地区，可以通过下面的视频查看工作流的实测效果与创作思路。 📵

MiniMax H3 286 downloads
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Anima Aesthetic 1.0b Text-to-Image Workflow
Workflows 2026-07-18

Anima Aesthetic 1.0b Text-to-Image Workflow

This workflow is for Anima Aesthetic 1.0b Text-to-Image. It is designed as an alternate aesthetic comparison version for Anima image generation. It should not be described as simply stronger than Anima Aesthetic 1.0. Its value is that it gives creators another aesthetic direction to compare against the main 1.0 model. The workflow uses anima_aestheticV10b.safetensors as the main model, qwen_3_06b_base.safetensors as the text encoder, and qwen_image_vae.safetensors as the VAE. The pipeline remains clean and direct: text prompt, negative prompt, latent image, KSampler, VAE Decode, and Save Image. The default setup is 40 steps, CFG 4.0, euler sampler, simple scheduler, and full denoise. Recommended use is similar to the 1.0 workflow: anime-style illustration, character art, cover images, stylized fantasy scenes, clean compositions, and polished visual assets. The difference is not workflow complexity, but the model’s aesthetic tendency and visual response. This version is useful when you want to compare how two related Anima Aesthetic models handle the same prompt. You can use the same seed, same prompt, same size, and same sampling settings, then compare composition, line quality, color behavior, character design, texture density, and overall atmosphere. The workflow is pure text-to-image only. It does not require reference images, masks, ControlNet, or image editing inputs. It is best used as a clean model comparison route and as an alternate aesthetic rendering option. Main features: Anima Aesthetic 1.0b text-to-image workflow Alternate aesthetic comparison route anima_aestheticV10b.safetensors model qwen_3_06b_base.safetensors text encoder qwen_image_vae.safetensors VAE 40-step quality generation CFG 4.0 setup euler sampler simple scheduler 1024×1024 default latent size Positive and negative prompt control Pure text-to-image workflow Suitable for model comparison, anime illustration, character art, and stylized image testing Suggested workflow: Use this workflow beside Anima Aesthetic 1.0 and compare results under the same prompt. Do not judge it only by speed. Look at aesthetic direction, color balance, character design, composition, background handling, and detail stability. If the output style fits your project better than 1.0, use it as the main rendering choice for that batch. If not, keep it as a comparison model for prompt testing

Anima 72 downloads
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Anima Turbo 10-Step Text-to-Image Workflow
Workflows 2026-07-18

Anima Turbo 10-Step Text-to-Image Workflow

This workflow is for Anima Turbo 10-Step Text-to-Image. It is designed as a fast draft-generation route for testing prompts, exploring image directions, building cover concepts, and producing quick anime-style visual previews without spending too much time on every single render. The workflow uses anima_turboV10.safetensors as the main model, qwen_3_06b_base.safetensors as the text encoder, and qwen_image_vae.safetensors as the VAE. The structure is intentionally simple: positive prompt, negative prompt, latent image, KSampler, VAE Decode, and Save Image. This makes it easy to understand, easy to modify, and suitable for fast online use. The default sampling setup is 10 steps, CFG 1.0, euler sampler, simple scheduler, and full denoise. This is important: this Turbo workflow should not be treated like a high-CFG aesthetic model. It is built for low-CFG, low-step, fast-response generation. Raising CFG too high can easily make the result worse, more rigid, or less stable. The workflow is pure text-to-image only. It does not require image input, control image, pose image, mask, or reference image. You only need to write a prompt, set the size, and generate. It is especially suitable for fast anime illustration drafts, character direction tests, thumbnail concepts, safe poster compositions, and social-media visual previews. Main features: Anima Turbo 10-Step text-to-image workflow Fast draft generation anima_turboV10.safetensors model route qwen_3_06b_base.safetensors text encoder qwen_image_vae.safetensors VAE 10-step fast sampling CFG 1.0 setup euler sampler simple scheduler 1024×1024 default latent size Positive and negative prompt control Pure text-to-image workflow Suitable for prompt testing, draft generation, cover concepts, and anime-style previews Suggested workflow: Use this workflow when you need speed first. Start with a clear subject, clean composition, readable silhouette, and simple lighting direction. Avoid making the prompt too crowded during early testing. Generate multiple drafts quickly, pick the strongest direction, then move to Aesthetic 1.0 or Aesthetic 1.0b when you need a more finished image. Keep CFG around 1.0 and control the result mainly through the prompt. ⚙️ RunningHub Workflow Try the workflow online right now — no installation required. 👉 Workflow: 【Turbo RunningHub link pending】 If the results meet your exp

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