Instructions to use VAST-AI/EdenLive-5B-Causal-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/EdenLive-5B-Causal-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("VAST-AI/EdenLive-5B-Causal-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
Download decoder/diffusion_pytorch_model.safetensors from VAST-AI/EdenLive-5B-Causal-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 39.7 MB
-
https://huggingface.co/VAST-AI/EdenLive-5B-Causal-Diffusers/resolve/main/decoder/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://VAST-AI/EdenLive-5B-Causal-Diffusers/decoder/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/VAST-AI/EdenLive-5B-Causal-Diffusers/resolve/main/decoder/diffusion_pytorch_model.safetensors
39.7 MB
- Xet hash:
- 175f20ec25fbc8b9079273c4619f299b7042140901534949b1d854cd0e239de7
- Size of remote file:
- 39.7 MB
- SHA256:
- c6945e2bfa06cde519d5039e1ee30b50295c8aa4237580ddb1de74ea48e23af1
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