Instructions to use Disty0/Index-anisora-5B_RL-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/Index-anisora-5B_RL-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("Disty0/Index-anisora-5B_RL-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
- Xet hash:
- a8fa1489a7af5f325c0517bfbd99b8c5a5f544cb0a0eae62f80c686ff5ba1f6e
- Size of remote file:
- 862 MB
- SHA256:
- a410e48d988c8224cef392b68db0654485cfd41f345f4a3a81d3e6b765bb995e
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