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SeedVR2_comfyUI

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@@ -5,10 +5,11 @@ base_model:
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  - ByteDance-Seed/SeedVR2-7B
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  ---
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  # ComfyUI-SeedVR2_VideoUpscaler
 
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  [![View Code](https://img.shields.io/badge/📂_View_Code-GitHub-181717?style=for-the-badge&logo=github)](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)
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- A Non official custom nodes for ComfyUI that enables Upscale Video/Images generation using [SeedVR2](https://github.com/ByteDance-Seed/SeedVR).
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  <img src="docs/demo_01.jpg">
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  <img src="docs/demo_02.jpg">
@@ -64,12 +65,17 @@ load venv and :
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  pip install -r ComfyUI-SeedVR2_VideoUpscaler/requirements.txt
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  ```
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- install flash_attn if it ask for it
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  ```bash
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- pip install -r flash_attn
 
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  ```
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  Or use python_embeded :
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  ```bash
@@ -110,21 +116,21 @@ python_embeded\python.exe -m pip install -r flash_attn
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  **NVIDIA H100 93GB VRAM** (values in parentheses are from the previous benchmark):
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- | Images | Resolution | Batch Size | Time fp8 (s) | FPS fp8 | Time fp16 (s) | FPS fp16 |
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- | ------ | ------------------- | ---------- | ---------------- | ----------- | ---------------- | ----------- |
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- | 3 | 512×768 → 1080×1620 | 1 | 10.18 (58.10) | 0.29 (0.05) | 10.67 (60.13) | 0.28 (0.05) |
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- | 15 | 512×768 → 1080×1620 | 5 | 26.71 (135.63) | 0.56 (0.11) | 27.75 (144.18) | 0.54 (0.10) |
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- | 27 | 512×768 → 1080×1620 | 9 | 33.97 (163.22) | 0.79 (0.17) | 35.08 (177.61) | 0.77 (0.15) |
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- | 39 | 512×768 → 1080×1620 | 13 | 41.01 (189.36) | 0.95 (0.21) | 42.08 (210.11) | 0.93 (0.19) |
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- | 51 | 512×768 → 1080×1620 | 17 | 48.12 (215.80) | 1.06 (0.24) | 49.44 (242.64) | 1.03 (0.21) |
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- | 63 | 512×768 → 1080×1620 | 21 | 55.40 (241.79) | 1.14 (0.26) | 56.70 (275.55) | 1.11 (0.23) |
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- | 75 | 512×768 → 1080×1620 | 25 | 62.60 (267.93) | 1.20 (0.28) | 63.80 (308.51) | 1.18 (0.24) |
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- | 123 | 512×768 → 1080×1620 | 41 | 91.38 (373.60) | 1.35 (0.33) | 92.90 (440.01) | 1.32 (0.28) |
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- | 243 | 512×768 → 1080×1620 | 81 | 164.25 (642.20) | 1.48 (0.38) | 166.09 (780.20) | 1.46 (0.31) |
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- | 363 | 512×768 → 1080×1620 | 121 | 238.18 (913.61) | 1.52 (0.40) | 239.80 (1114.32) | 1.51 (0.33) |
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- | 453 | 512×768 → 1080×1620 | 151 | 296.52 (1132.01) | 1.53 (0.40) | 298.65 (1384.86) | 1.52 (0.33) |
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- | 633 | 512×768 → 1080×1620 | 211 | 406.65 (1541.09) | 1.56 (0.41) | 409.44 (1887.62) | 1.55 (0.34) |
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- | 903 | 512×768 → 1080×1620 | 301 | OOM (OOM) | OOM (OOM) | OOM (OOM) | OOM (OOM) |
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  **NVIDIA RTX4090 24GB VRAM** (preserved_vram=off)
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  | Model | Images | Resolution | Batch Size | Time (seconds) | FPS | Note |
 
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  - ByteDance-Seed/SeedVR2-7B
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  ---
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  # ComfyUI-SeedVR2_VideoUpscaler
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+ # ComfyUI-SeedVR2_VideoUpscaler
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  [![View Code](https://img.shields.io/badge/📂_View_Code-GitHub-181717?style=for-the-badge&logo=github)](https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler)
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+ Official release of [SeedVR2](https://github.com/ByteDance-Seed/SeedVR) for ComfyUI that enables Upscale Video/Images generation.
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  <img src="docs/demo_01.jpg">
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  <img src="docs/demo_02.jpg">
 
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  pip install -r ComfyUI-SeedVR2_VideoUpscaler/requirements.txt
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  ```
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+ install flash_attn or triton if it ask for it
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  ```bash
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+ pip install flash_attn
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+ pip install triton
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  ```
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+ or from https://github.com/loscrossos/lib_flashattention/releases
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+ and
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+ https://github.com/woct0rdho/triton-windows
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+
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  Or use python_embeded :
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  ```bash
 
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  **NVIDIA H100 93GB VRAM** (values in parentheses are from the previous benchmark):
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+ | nb frames | Resolution | Batch Size | Time fp8 (s) | FPS fp8 | Time fp16 (s) | FPS fp16 |
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+ | --------- | ------------------- | ---------- | ---------------- | ----------- | ---------------- | ----------- |
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+ | 3 | 512×768 → 1080×1620 | 1 | 10.18 (58.10) | 0.29 (0.05) | 10.67 (60.13) | 0.28 (0.05) |
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+ | 15 | 512×768 → 1080×1620 | 5 | 26.71 (135.63) | 0.56 (0.11) | 27.75 (144.18) | 0.54 (0.10) |
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+ | 27 | 512×768 → 1080×1620 | 9 | 33.97 (163.22) | 0.79 (0.17) | 35.08 (177.61) | 0.77 (0.15) |
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+ | 39 | 512×768 → 1080×1620 | 13 | 41.01 (189.36) | 0.95 (0.21) | 42.08 (210.11) | 0.93 (0.19) |
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+ | 51 | 512×768 → 1080×1620 | 17 | 48.12 (215.80) | 1.06 (0.24) | 49.44 (242.64) | 1.03 (0.21) |
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+ | 63 | 512×768 → 1080×1620 | 21 | 55.40 (241.79) | 1.14 (0.26) | 56.70 (275.55) | 1.11 (0.23) |
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+ | 75 | 512×768 → 1080×1620 | 25 | 62.60 (267.93) | 1.20 (0.28) | 63.80 (308.51) | 1.18 (0.24) |
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+ | 123 | 512×768 → 1080×1620 | 41 | 91.38 (373.60) | 1.35 (0.33) | 92.90 (440.01) | 1.32 (0.28) |
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+ | 243 | 512×768 → 1080×1620 | 81 | 164.25 (642.20) | 1.48 (0.38) | 166.09 (780.20) | 1.46 (0.31) |
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+ | 363 | 512×768 → 1080×1620 | 121 | 238.18 (913.61) | 1.52 (0.40) | 239.80 (1114.32) | 1.51 (0.33) |
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+ | 453 | 512×768 → 1080×1620 | 151 | 296.52 (1132.01) | 1.53 (0.40) | 298.65 (1384.86) | 1.52 (0.33) |
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+ | 633 | 512×768 → 1080×1620 | 211 | 406.65 (1541.09) | 1.56 (0.41) | 409.44 (1887.62) | 1.55 (0.34) |
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+ | 903 | 512×768 → 1080×1620 | 301 | OOM (OOM) | OOM (OOM) | OOM (OOM) | OOM (OOM) |
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  **NVIDIA RTX4090 24GB VRAM** (preserved_vram=off)
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  | Model | Images | Resolution | Batch Size | Time (seconds) | FPS | Note |