README.md

metadata

base_model: zai-org/SCAIL-2
tags:
  - quantization
  - gguf
  - comfyui
  - image-to-video
  - character-animation
  - wan2.1
license: mit

SCAIL-2 GGUFs (by Rebel AI)

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GGUF quantizations of SCAIL-2, the end-to-end character-animation / video motion-transfer model (Wan 2.1 14B backbone) from zai-org. These run the SCAIL-2 DiT in ComfyUI at a fraction of the VRAM the full fp16/fp8 weights require.

Quantized by RealRebelAI · GitHub · YouTube

⚡ Load with the GGUF Unet Loader (city96's ComfyUI-GGUF — Unet Loader (GGUF)). Place the .gguf in ComfyUI/models/unet/.

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Quant tiers

Tier	Approx size	Notes
Q2_K	~6 GB	Smallest — runs on minimal VRAM, expect quality loss
Q3_K_M	~8.1 GB	Budget tier, better coherence than Q2
Q4_K_M	~10 GB	Recommended daily driver
Q5_K_M	~12 GB	Sweet spot above Q4
Q6_K	~14 GB	Higher fidelity
Q8_0	~17 GB	Closest to fp16

The loader memory-maps the model, so a larger file costs disk and streaming time, not resident RAM.

Required files (NOT included in this repo)

Download each of these separately and place them in the listed ComfyUI folder.

📝 Text Encoder

ComfyUI/models/text_encoders/ https://huggingface.co/Kijai/WanVideo_comfy/blob/main/umt5-xxl-enc-fp8_e4m3fn.safetensors

🎛️ LoRA (LightX2V step/cfg distill)

ComfyUI/models/loras/ https://huggingface.co/lightx2v/Wan2.1-I2V-14B-480P-StepDistill-CfgDistill-Lightx2v/blob/main/loras/Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors

🎯 SAM 3.1 Multiplex

ComfyUI/models/sam/ https://huggingface.co/Comfy-Org/sam3.1/blob/main/checkpoints/sam3.1_multiplex_fp16.safetensors

👁️ CLIP Vision

ComfyUI/models/clip_vision/ https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/clip_vision/clip_vision_h.safetensors

🎨 VAE

ComfyUI/models/vae/ https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors

➕ Optional: SCAIL-2 DPO LoRA (untested)

ComfyUI/models/loras/ https://huggingface.co/Comfy-Org/SCAIL-2/blob/main/loras/wan2.1_SCAIL_2_DPO_lora_bf16.safetensors

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Folder structure

ComfyUI/models/
├── unet/
│   └── SCAIL-2-Q4_K_M.gguf            ← from this repo
├── text_encoders/
│   └── umt5-xxl-enc-fp8_e4m3fn.safetensors
├── loras/
│   ├── Wan21_I2V_14B_lightx2v_cfg_step_distill_lora_rank64.safetensors
│   └── wan2.1_SCAIL_2_DPO_lora_bf16.safetensors   (optional)
├── sam/
│   └── sam3.1_multiplex_fp16.safetensors
├── clip_vision/
│   └── clip_vision_h.safetensors
└── vae/
    └── wan_2.1_vae.safetensors

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Generated Examples

Here are some outputs from the model:

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Notes

• WEIGHT NOT MERGED warning on patch_embedding is harmless. ComfyUI builds a 36-channel patch embedding and concatenates the mask channels at runtime; the model fills them internally. The stored 20-channel weight is expected. Generation proceeds normally.
• The colored mask is a required input even in single-character Animation Mode — don't remove it from the workflow.
• Set width and height explicitly (both divisible by 16; 832×480 is a good 480p start).
• The SCAIL2ColoredMask node may require a recent / nightly ComfyUI build.

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Credits

• Model: zai-org / SCAIL-2
• GGUF quantization: RealRebelAI
• GGUF tooling: city96 / ComfyUI-GGUF