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
Download text_encoder/model-00001-of-00002.safetensors from Disty0/Index-anisora-5B_RL-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 4.99 GB
-
https://huggingface.co/Disty0/Index-anisora-5B_RL-diffusers/resolve/main/text_encoder/model-00001-of-00002.safetensors
- Command line
-
hf download hf://Disty0/Index-anisora-5B_RL-diffusers/text_encoder/model-00001-of-00002.safetensors
-
curl -L -o model-00001-of-00002.safetensors https://huggingface.co/Disty0/Index-anisora-5B_RL-diffusers/resolve/main/text_encoder/model-00001-of-00002.safetensors
4.99 GB
- Xet hash:
- a7d3528dcaffebc513b78b7210517d3fb16d012300e2dc95d2b106b534a60540
- Size of remote file:
- 4.99 GB
- SHA256:
- 9162b8ae9152e7a8e3bbebc535c8692783f50aec8cd3bb8ef6a751c432dd6392
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