FitCorder’s WAN Uncensored Workflow Guide
Plug-and-play WAN 2.2 workflows for ComfyUI—built for hands-off rendering.
Hardware target: These presets are designed and validated for RTX 4090 or 24 GB NVIDIA GPUs. They may run on lower-VRAM cards, but performance/quality/runtime will vary.
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Workflows (Civitai)
FitCorder WAN Uncensored Workflows Collection
Download here - https://civitai.com/models/2048404
This includes T2V – 5s, I2V – 5s, FFLF I2V-HQ – 5s, plus HQ and LoRA variants.
Example LoRA used in demos:
Perfect Full Round Breasts & Slim Waist
https://civitai.com/models/61099/fluxpony-perfect-full-round-breasts-and-slim-waist
Uncensored Video Workflow Notes
- T2V (Text → Video, 5 s)
No custom nodes required. Load workflow, enter prompt, render.
- I2V (Image → Video, 5 s)
Requires Comfy Essentials → https://github.com/cubiq/ComfyUI_essentials
- FFLF I2V-HQ (First/Last Frame → 5 s)
Uses a first and last frame for controlled motion.
Requires Comfy Essentials → https://github.com/cubiq/ComfyUI_essentials
- Image scaling
Handled by Comfy Essentials resize/fit nodes (same link as above).
- Runtime (reference)
HQ variants render in 12 minutes per 5s clip on an RTX 4090 at baseline settings.
- Design choice
These graphs use a NSFW CLIP configuration tuned for WAN 2.2. This is the key difference that makes this work for those interested to build their own workflows.
Why this matters now: video quality has jumped
Text-to-video and image-to-video have advanced from novelty clips to stable, coherent motion with stronger subject retention. WAN-class models deliver:
- Improved temporal consistency (reduced flicker, better identity carry-through).
- Usable baselines on consumer GPUs (short, clean clips without exotic hacks).
- Tighter CLIP alignment for clearer instruction-following.
These workflows make that progress practical: load, run, review—**no parameter babysitting** required.
Downloads here
FitCorder WAN Uncensored Workflows Collection
https://civitai.com/models/2048404
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