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README.md
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@@ -22,60 +22,6 @@ from scratch using only standard PyTorch, transformers, einops, and safetensors.
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Everything is already in a standard ComfyUI venv. No `pip install` needed.
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## Installation
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1. Clone or copy into `ComfyUI/custom_nodes/`:
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```
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cd ComfyUI/custom_nodes/
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git clone <this-repo> ComfyUI-RealRestorer
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```
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2. Download the model (~42GB) into `ComfyUI/models/RealRestorer/`:
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```
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cd ComfyUI/models/
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mkdir -p RealRestorer
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cd RealRestorer
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huggingface-cli download RealRestorer/RealRestorer --local-dir .
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```
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Expected layout:
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```
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ComfyUI/models/RealRestorer/
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transformer/ (safetensors + config.json)
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vae/ (safetensors + config.json)
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text_encoder/ (Qwen2.5-VL-7B weights)
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processor/ (tokenizer files)
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```
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3. Restart ComfyUI. The nodes appear under the **RealRestorer** category.
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## Nodes
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### RealRestorer Model Loader
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| Setting | Default | Description |
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| model | auto-detected | Scans `models/RealRestorer/` for valid bundles |
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| precision | bfloat16 | Paper default. float16 uses less VRAM |
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| keep_model_loaded | true | Keep in memory between runs |
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### RealRestorer Sampler
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| Setting | Default | Description |
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| task_preset | General Restore | Pick from 10 restoration tasks or "Custom" |
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| instruction | (empty) | Only used when task_preset is "Custom" |
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| seed | 42 | Paper default |
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| steps | 28 | Paper default (demo range: 12-40) |
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| guidance_scale | 3.0 | Paper default (demo range: 1.0-6.0) |
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| size_level | 1024 | Processing resolution (see tooltip) |
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| device_strategy | auto | auto / full_gpu / offload_to_cpu |
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## VRAM Usage
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At 1024x1024 with bfloat16:
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Everything is already in a standard ComfyUI venv. No `pip install` needed.
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## VRAM Usage
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At 1024x1024 with bfloat16:
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