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README.md
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# ComfyUI-SeedVR2_VideoUpscaler
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-
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[
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<video width="700px" controls>
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<source src="https://github.com/user-attachments/assets/8fbd6c1f-4246-4dbe-8819-4e684490c5f2" type="video/mp4">
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python_embeded\python.exe -m pip install -r flash_attn
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```
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## Usage
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1. In ComfyUI, locate the **SeedVR2 Video Upscaler** node in the node menu.
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1. **NVIDIA H100 93GB VRAM**
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- 3B Model, 97 images, from 512x768 to 1280x1920, batch_size=50 => Prompt executed in 338.63 seconds
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- 3B Model, 97 images, from 512x768 to 1280x1920, batch_size=10 => Prompt executed in 540.22 seconds
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- 3B Model, 97 images, from 512x768 to 720x1080, batch_size=10 => Prompt executed in 183.64 seconds
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- 7B Model,
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2. **NVIDIA RTX4090 24GB VRAM**
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- The code in this repository is released under the MIT license as found in the [LICENSE file](LICENSE).
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---
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# ComfyUI-SeedVR2_VideoUpscaler
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[](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)
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A Non official custom nodes for ComfyUI that enables Upscale Video generation using [SeedVR2](https://github.com/ByteDance-Seed/SeedVR).
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<video width="700px" controls>
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<source src="https://github.com/user-attachments/assets/8fbd6c1f-4246-4dbe-8819-4e684490c5f2" type="video/mp4">
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python_embeded\python.exe -m pip install -r flash_attn
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```
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3. Models
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Will be automtically download into :
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`models/SEEDVR2`
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or can be found here ([MODELS](https://huggingface.co/numz/SeedVR2_comfyUI/tree/main))
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## Usage
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1. In ComfyUI, locate the **SeedVR2 Video Upscaler** node in the node menu.
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1. **NVIDIA H100 93GB VRAM**
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3B or 7B spike to 90+GB VRAM!! but fast!!
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- 3B Model, 97 images, from 512x768 to 1280x1920, batch_size=50 => Prompt executed in 338.63 seconds
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- 3B Model, 97 images, from 512x768 to 1280x1920, batch_size=10 => Prompt executed in 540.22 seconds
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- 3B Model, 97 images, from 512x768 to 720x1080, batch_size=10 => Prompt executed in 183.64 seconds
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- 7B Model, 50 images, 512x768 to 1080x1620, batch_size=50, Prompt executed in 166.89 seconds
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- 7B Model, 97 images, 512x768 to 1080x1620, batch_size=97, Prompt executed in 146.72 seconds
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- 7B Model, 200 images, 512x768 to 1080x1620, batch_size=200, Prompt executed in 266.14 seconds
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2. **NVIDIA RTX4090 24GB VRAM**
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- The code in this repository is released under the MIT license as found in the [LICENSE file](LICENSE).
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