Instructions to use JackIsNotInTheBox/Video_Watermark_Remover_Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JackIsNotInTheBox/Video_Watermark_Remover_Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JackIsNotInTheBox/Video_Watermark_Remover_Checkpoints", 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
Mirror Wan-AI/Wan2.1-VACE-14B-diffusers: transformer/diffusion_pytorch_model-00012-of-00013.safetensors
Browse files
vace-14b/transformer/diffusion_pytorch_model-00012-of-00013.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e48bce2ab6bb0885d72ff5e79c56c29335051e5ad715a03807267e248addaff8
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size 4971935336
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