metadata
license: other
tags:
- shadowforge
- comfyui
- flux
- wan
- horror
- video-generation
- image-generation
ShadowForge Models
Pre-packaged model weights for ShadowForge — an AI horror content generation pipeline.
All models are selected, quantized, and tested for 16GB VRAM GPUs (RTX 4060 Ti 16GB, RTX 5060 Ti, etc.).
Models Included
Image Generation (Flux.1 Dev)
| File | Size | Description |
|---|---|---|
diffusion_models/flux1-dev-Q5_0.gguf |
~7.8 GB | Flux.1 Dev UNET, GGUF Q5 quantized |
text_encoders/clip_l.safetensors |
~235 MB | CLIP-L text encoder |
text_encoders/t5xxl_fp8_e4m3fn.safetensors |
~4.6 GB | T5-XXL text encoder, fp8 |
vae/ae.safetensors |
~320 MB | Flux autoencoder |
Video Generation (Wan 2.1 I2V)
| File | Size | Description |
|---|---|---|
diffusion_models/wan2.1_i2v_480p_14B_fp8_e4m3fn.safetensors |
~16 GB | Wan 2.1 I2V 14B, fp8 |
text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors |
~6.3 GB | UMT5-XXL encoder, fp8 |
clip_vision/clip_vision_h.safetensors |
~1.2 GB | CLIP Vision H encoder |
vae/wan_2.1_vae.safetensors |
~243 MB | Wan 2.1 video VAE |
Total: ~37 GB
Quick Download
# Clone ShadowForge and download all models
git clone https://github.com/neil1145/ShadowForge.git
cd ShadowForge
pip install -r requirements.txt
python scripts/download_models.py --models-dir /path/to/comfyui/models
Or download individual files:
pip install huggingface_hub
huggingface-cli download neil1145/ShadowForge-models --local-dir /path/to/comfyui/models
Directory Structure
Files should be placed in your ComfyUI models directory:
models/
├── clip_vision/
│ └── clip_vision_h.safetensors
├── diffusion_models/
│ ├── flux1-dev-Q5_0.gguf
│ └── wan2.1_i2v_480p_14B_fp8_e4m3fn.safetensors
├── text_encoders/
│ ├── clip_l.safetensors
│ ├── t5xxl_fp8_e4m3fn.safetensors
│ └── umt5_xxl_fp8_e4m3fn_scaled.safetensors
└── vae/
├── ae.safetensors
└── wan_2.1_vae.safetensors
VRAM Requirements
These models are designed to run one at a time on 16GB VRAM:
- Flux image generation: ~10 GB peak VRAM
- Wan video generation: ~14 GB peak VRAM
ShadowForge's VRAMManager handles automatic model swapping — it evicts the current model before loading the next one.
License
Individual models retain their original licenses:
- Flux.1 Dev: FLUX.1-dev Non-Commercial License
- Wan 2.1: Apache 2.0
- CLIP/T5 encoders: Various open licenses
This repo is a convenience bundle. Check individual model pages for license details.