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
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README.md
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@@ -10,3 +10,5 @@ Diffusers version of [IndexTeam/Index-anisora 5B](https://huggingface.co/IndexTe
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Source file: https://huggingface.co/IndexTeam/Index-anisora/blob/main/5B_RL/1000/mp_rank_00_model_states.pt
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Soruce file sha256sum: `d99db12f5942d67b711a789b47778c7db1273f109dbda18904b94628b50aaa9c`
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Source file: https://huggingface.co/IndexTeam/Index-anisora/blob/main/5B_RL/1000/mp_rank_00_model_states.pt
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Soruce file sha256sum: `d99db12f5942d67b711a789b47778c7db1273f109dbda18904b94628b50aaa9c`
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Text Encoder and VAE are from [THUDM/CogVideoX-5b-I2V](https://huggingface.co/THUDM/CogVideoX-5b-I2V)
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