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 model_index.json from VAST-AI/EdenLive-5B-Causal-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 703 Bytes
-
https://huggingface.co/VAST-AI/EdenLive-5B-Causal-Diffusers/resolve/main/model_index.json
- Command line
-
hf download hf://VAST-AI/EdenLive-5B-Causal-Diffusers/model_index.json
-
curl -L -o model_index.json https://huggingface.co/VAST-AI/EdenLive-5B-Causal-Diffusers/resolve/main/model_index.json
703 Bytes
| { | |
| "_class_name": "EdenLiveCausalPipeline", | |
| "transformer": [ | |
| "diffusers", | |
| "EdenLiveTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLWan" | |
| ], | |
| "decoder": [ | |
| null, | |
| null | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "UMT5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5Tokenizer" | |
| ], | |
| "proxy_encoder": [ | |
| "transformers", | |
| "DINOv3ViTModel" | |
| ], | |
| "image_encoder": [ | |
| null, | |
| null | |
| ], | |
| "image_processor": [ | |
| null, | |
| null | |
| ], | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "proxy_image_height": 480, | |
| "proxy_image_width": 832, | |
| "chunk_size": 3, | |
| "max_context_frames": 18, | |
| "sink_frames": 6 | |
| } | |