Instructions to use adamdad/videocrafterv2_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use adamdad/videocrafterv2_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("adamdad/videocrafterv2_diffusers", 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
move files (#1)
Browse files- move files (f52092048772f1edc563a4aa84cfd7a459ab7cdb)
Co-authored-by: Yuanshi <Yuanshi@users.noreply.huggingface.co>
videocrafterv2_convert/diffusers/config.json → config.json
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videocrafterv2_convert/diffusers/diffusion_pytorch_model.safetensors → diffusion_pytorch_model.safetensors
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