CIVITAI / Workflows

Magic-Wan-V2 text-to-image

Magic Wan 2.0 is a realism-oriented generation model that focuses on natural skin texture, lighting accuracy, and fine surface details. Its output tends to be clean, stable, and close to real photographic aesthetics. The workflow I assembled is a fully ready-to-use text-to-image chain, so the prompt goes in and the system handles the encoding and generation without requiring you to build or rearrange nodes. It’s designed to keep the pipeline consistent and reliable, making it suitable for portraits, real-world scenes, and any kind of detail-heavy realistic imagery. For practical use, there are a few simple but very effective tips. Using slightly higher steps gives noticeably better stability and richer detail—around the low-20s is a good balance unless you’re intentionally optimizing for speed. This model also benefits a lot from tile-based upscaling; a 2×2 split when generating 4K results keeps the texture much cleaner and avoids smearing. The denoise value shouldn’t be set too high, especially during upscaling—around 0.2 to 0.3 is already very reactive and usually enough. And even though turbo or “4-step” acceleration LoRAs can speed up generation, they significantly damage realism, so they’re not recommended for this workflow. Overall, it’s a straightforward setup that still delivers high-quality, realistic images without much effort. 🎥 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/1990870633426919425/?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

Wan Video 2.2 T2V-A14B #character
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Magic-Wan-V2 text-to-image

Public versions

v1.0

Wan Video 2.2 T2V-A14B