Instructions to use VAST-AI/EdenLive-14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use VAST-AI/EdenLive-14B-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-14B-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 text_encoder/model.safetensors from VAST-AI/EdenLive-14B-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 11.4 GB
-
https://huggingface.co/VAST-AI/EdenLive-14B-Diffusers/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://VAST-AI/EdenLive-14B-Diffusers/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/VAST-AI/EdenLive-14B-Diffusers/resolve/main/text_encoder/model.safetensors
11.4 GB
- Xet hash:
- 1606ad0dec651000bb78488a0eab7ef64de473f7f0eed84a46f8c9deeb637e25
- Size of remote file:
- 11.4 GB
- SHA256:
- accacb722db35bffffd823d8a610fe224b5e0a1f624f0e21d5d34efd5455bb7d
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