Instructions to use AInVFX/SeedVR2_comfyUI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AInVFX/SeedVR2_comfyUI with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AInVFX/SeedVR2_comfyUI", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Commit History
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Updated license to Apache 2.0
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Update Readme.md - added last video
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Added Q8 GGUF models from cmeka / SeedVR2-GGUF
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Rename seedvr2_ema_7b_sharp_fp8_e4m3fn_mixed_block35_fp16.safetensors_test to seedvr2_ema_7b_sharp_fp8_e4m3fn_mixed_block35_fp16.safetensors
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Test
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Added Q4 GGUF models from cmeka / SeedVR2-GGUF
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Added Q4 GGUF models from cmeka / SeedVR2-GGUF
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Added Q4 GGUF models from cmeka / SeedVR2-GGUF
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Added GGUF models & remove test
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Rename seedvr2_ema_7b_sharp_fp8_e4m3fn.safetensors to seedvr2_ema_7b_sharp_fp8_e4m3fn_mixed_block35_fp16.safetensors
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Rename seedvr2_ema_7b_fp8_e4m3fn.safetensors to seedvr2_ema_7b_fp8_e4m3fn_mixed_block35_fp16.safetensors
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FP8 conversion of seedvr2_ema_7b_sharp.pth with last block kept in FP16 to avoid line/tile artifacts (no metadata)
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FP8 conversion of seedvr2_ema_7b.pth with last block kept in FP16 to avoid line/tile artifacts (no metadata)
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seedvr2_ema_7b_sharp_fp8_e4m3fn - FP8 conversion of seedvr2_ema_7b_sharp.pth with last block kept in FP16 to avoid line/tile artifacts
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Update README.md
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seedvr2_ema_7b_fp8_e4m3fn - FP8 conversion of seedvr2_ema_7b.pth with last block kept in FP16 to avoid line/tile artifacts
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initial commit
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