Instructions to use grisha2000/ivan-animated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use grisha2000/ivan-animated with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("grisha2000/ivan-animated", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from grisha2000/ivan-animated: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/grisha2000/ivan-animated/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://grisha2000/ivan-animated/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/grisha2000/ivan-animated/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 0751da43516dcccd20d0ff5b78bf0f25b21113e75e752794e1cd93edc194121c
- Size of remote file:
- 3.44 GB
- SHA256:
- 79f394655a953cb09809408b42e5e6fd8c0a1d77a6ec13cdd6f9d94434cc385f
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