CIVITAI / Workflows
Magic-Wan-V2 accelerated image-to-image
This workflow is designed to let Magic Wan 2.0 handle image-to-image tasks at high speed by combining it with a four-step acceleration model derived from Wan 2.2. The input image is first resized and encoded into the latent space, and then the accelerated model performs reconstruction with minimal sampling steps. This makes the process extremely fast while still allowing the prompt to influence the atmosphere, lighting, and overall direction of the rewritten image. The workflow keeps the structure of a standard img2img pipeline, but the accelerated backbone gives it a much quicker turnaround, making it suitable for rapid style adjustments, fast reinterpretations, and quick visual experiments based on an existing image. To get the best results with this approach, clear prompt direction helps the model maintain coherence, since the compressed sampling path relies more heavily on textual guidance. Adding explicit cues about style, mood, lighting, or material texture can significantly improve the stability of the output. Because the model is optimized for speed, the reconstruction focuses on broad visual consistency rather than micro-level detail, so this workflow is ideal for quickly exploring variations of a source image. Once you find a direction you like, you can move to a slower high-quality workflow for refinement, while this accelerated version remains a fast and efficient way to iterate through creative options. 🎥 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/Eek663BSp3g 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/1991143691563696129/?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

Public versions
Wan Video 2.2 T2V-A14B