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 model_index.json from Disty0/Index-anisora-5B_RL-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/Disty0/Index-anisora-5B_RL-diffusers/resolve/597f7fe0447f27db2e1ff70925d9553c302f1713/model_index.json
- Command line
-
hf download hf://Disty0/Index-anisora-5B_RL-diffusers@597f7fe0447f27db2e1ff70925d9553c302f1713/model_index.json
-
curl -L -o model_index.json https://huggingface.co/Disty0/Index-anisora-5B_RL-diffusers/resolve/597f7fe0447f27db2e1ff70925d9553c302f1713/model_index.json
418 Bytes
| { | |
| "_class_name": "CogVideoXImageToVideoPipeline", | |
| "_diffusers_version": "0.33.1", | |
| "scheduler": [ | |
| "diffusers", | |
| "CogVideoXDDIMScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "T5EncoderModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "T5Tokenizer" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "CogVideoXTransformer3DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKLCogVideoX" | |
| ] | |
| } | |