| --- |
| license: other |
| tags: |
| - shadowforge |
| - comfyui |
| - flux |
| - wan |
| - horror |
| - video-generation |
| - image-generation |
| --- |
| |
| # ShadowForge Models |
|
|
| Pre-packaged model weights for [ShadowForge](https://github.com/neil1145/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 |
|
|
| ```bash |
| # 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: |
| ```bash |
| 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](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md) |
| - Wan 2.1: [Apache 2.0](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P) |
| - CLIP/T5 encoders: Various open licenses |
|
|
| This repo is a convenience bundle. Check individual model pages for license details. |
|
|
