CIVITAI / Workflows

Flux2-TurboV2 Acceleration

This workflow is a Flux.2 Turbo V2 accelerated text-to-image (or optional reference-guided) setup using the ComfyUI “custom sampler” stack instead of the classic KSampler. It loads the Flux2 UNet ( flux2_dev_fp8mixed.safetensors ), the Flux2 text encoder ( mistral_3_small_flux2_fp8… , type flux2 ), and the Flux2 VAE ( flux2-vae.safetensors ). Then it applies a model-only Turbo LoRA ( Flux2TurboComfyv2.safetensors ) at strength 1.0 before sampling, which is the main speed/behavior change in this graph. Sampling is assembled from modular nodes: CLIPTextEncode → FluxGuidance (guidance=4) produces the conditioning, then BasicGuider + KSamplerSelect(euler) + Flux2Scheduler(steps=8) feed into SamplerCustomAdvanced . The base latent comes from EmptyFlux2LatentImage with fixed width/height, and you can optionally enable ReferenceLatent nodes (Ctrl-B) to inject one or more reference images; if you bypass them, it becomes pure text-to-image. Finally the latent is VAE-decoded and saved. In short: Turbo LoRA + custom sampler pipeline, with optional reference-latent anchoring when you want extra similarity control. 🎥 YouTube Video Tutorial Want to know what this workflow actually does and how to start fast? This video explains what the tool is, how to launch the workflow instantly, and shares my core design logic — no local setup, no complicated environment. Everything starts directly on RunningHub, so you can experience it in action first. 👉 YouTube Tutorial: https://youtu.be/CTIWLigZL1E Before you begin, I recommend watching the video thoroughly — getting the full context helps you understand the tool faster and avoid common detours. ⚙️ RunningHub Workflow Try the workflow online right now — no installation required. 👉 Workflow: https://www.runninghub.ai/post/2007448172402057217/?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/BV1s5iqBNE6F/ ☕ Support Me on Ko-fi If you find my content helpful and want to support future creations, you can buy me a