Adrien Toupet
0b0c87ed4a
- Implement GGUF model loading with Q3_K_M through Q8_K_M quantization support - Add GGUFTensor wrapper to preserve quantization and enable on-demand dequantization - Maintain tensors in quantized format to reduce VRAM usage - Add GGUF dequantization operations for inference - Update model registry to include GGUF variants for 3B/7B models - Fix wavelet blur radius limit to prevent OOM at high resolutions (max 1/8 of image dimension) - Add safety clamp [-1,1] for SDR color range to prevent numerical errors - This is a WIP commit as some additional cleaning/testing is needed - Add type hints throughout for better code maintainability
35 lines
926 B
TOML
35 lines
926 B
TOML
[project]
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name = "ComfyUI-SeedVR2_VideoUpscaler"
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version = "2.0.0"
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description = "ComfyUI integration of ByteDance-Seed's SeedVR2: One-step diffusion-based video/image upscaling with memory-efficient inference"
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authors = [
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{name = "numz"},
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{name = "adrientoupet"}
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]
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readme = "README.md"
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license = { file = "LICENSE" }
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dependencies = [
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"torch",
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"torchvision",
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"safetensors",
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"numpy",
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"tqdm",
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"psutil",
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"einops",
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"omegaconf>=2.3.0",
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"diffusers>=0.33.1",
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"rotary_embedding_torch>=0.5.3",
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"opencv-python",
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"gguf"
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]
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[project.urls]
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Homepage = "https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler"
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Repository = "https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler"
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Issues = "https://github.com/numz/ComfyUI-SeedVR2_VideoUpscaler/issues"
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Tutorial = "https://www.youtube.com/@AInVFX"
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[tool.comfy]
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PublisherId = "numz"
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DisplayName = "ComfyUI-SeedVR2_VideoUpscaler"
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Icon = "" |