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README.md
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---
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All of the necessary models to run [tarmomatic](https://codeberg.org/jaahas/tarmomatic) local edition with ComfyUI.
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You also need [ComfyUI-GGUF custom nodes](https://github.com/city96/ComfyUI-GGUF).
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Place all of the models in their respective folders in the ComfyUI `models`-folder.
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- video
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---
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All of the necessary models to run **[tarmomatic](https://codeberg.org/jaahas/tarmomatic)** local edition with ComfyUI.
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You also need [ComfyUI-GGUF custom nodes](https://github.com/city96/ComfyUI-GGUF).
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Place all of the models in their respective folders in the ComfyUI `models`-folder.
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## All Models List
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| Model Filename | Required ComfyUI Folder | Used In |
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| `flux1-schnell-fp8.safetensors` | `models/checkpoints` | Flux |
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| `flux1-schnell-Q4_K_M.gguf` | `models/unet` | Flux |
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| `qwen_2.5_vl_7b_fp8_scaled.safetensors` | `models/clip` | Qwen Image Edit |
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| `qwen_image_vae.safetensors` | `models/vae` | Qwen Image Edit |
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| `Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors` | `models/loras` | Qwen Image Edit |
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| `Qwen-Image-Edit-2509-Q4_K_M.gguf` | `models/unet` | Qwen Image Edit |
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| `t5xxl_fp8_e4m3fn_scaled.safetensors` | `models/clip` | LTX Video |
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| `ltxv-2b-0.9.8-distilled-fp8.safetensors` | `models/checkpoints` | LTX Video |
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| `umt5_xxl_fp8_e4m3fn_scaled.safetensors` | `models/clip` | Wan Video |
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| `wan2.2_vae.safetensors` | `models/vae` | Wan Video |
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| `Wan2.2-TI2V-5B-Q5_K_M.gguf` | `models/unet` | Wan Video |
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---
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## Flux Models
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Used for general image generation (Workflow: `flux_schnell-GGUF.json`).
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- **`flux1-schnell-fp8.safetensors`**
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- Folder: `models/checkpoints`
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- **Note:** This provides the CLIP (Text Encoder) and VAE for the workflow.
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- **`flux1-schnell-Q4_K_M.gguf`**
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- Folder: `models/unet`
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- **Note:** This provides the actual diffusion model (UNet) in a compressed (quantized) format for better performance.
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## Qwen Image Models
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Used for image editing and synthesis (Workflows: `image_qwen_image_edit_2509-GGUF-*.json`).
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- **`qwen_2.5_vl_7b_fp8_scaled.safetensors`**
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- Folder: `models/clip`
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- **`qwen_image_vae.safetensors`**
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- Folder: `models/vae`
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- **`Qwen-Image-Edit-2509-Lightning-4steps-V1.0-bf16.safetensors`**
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- Folder: `models/loras`
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- **`Qwen-Image-Edit-2509-Q4_K_M.gguf`**
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- Folder: `models/unet`
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## LTX Models
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Used for image-to-video generation (Workflow: `ltxv_image_to_video.json`).
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- **`t5xxl_fp8_e4m3fn_scaled.safetensors`**
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- Folder: `models/clip`
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- **`ltxv-2b-0.9.8-distilled-fp8.safetensors`**
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- Folder: `models/checkpoints`
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## Wan Models
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Used for video generation (Workflow: `video_wan2_2_5B_ti2v-GGUF.json`).
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- **`umt5_xxl_fp8_e4m3fn_scaled.safetensors`**
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- Folder: `models/clip`
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- **Note:** This is a Multilingual T5 encoder, different from the standard T5.
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- **`wan2.2_vae.safetensors`**
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- Folder: `models/vae`
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- **`Wan2.2-TI2V-5B-Q5_K_M.gguf`**
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- Folder: `models/unet`
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---
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## FAQ
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### Why does Flux need both a GGUF and a Checkpoint?
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The workflow uses a "hybrid" loading strategy:
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1. **Checkpoint (`flux1-schnell-fp8.safetensors`):** Loads the **CLIP** (text understanding) and **VAE** (image decoding) components.
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2. **GGUF (`flux1-schnell-Q4_K_M.gguf`):** Loads the **UNet** (image generation core).
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This setup allows you to use a highly compressed, fast UNet (GGUF) while still getting the necessary support components from the standard checkpoint.
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