Instructions to use Volodymyr/diffusion-on-pokemon-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Volodymyr/diffusion-on-pokemon-subset with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Volodymyr/diffusion-on-pokemon-subset", 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
Download diffusion_pytorch_model.bin from Volodymyr/diffusion-on-pokemon-subset: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/Volodymyr/diffusion-on-pokemon-subset/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Volodymyr/diffusion-on-pokemon-subset/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Volodymyr/diffusion-on-pokemon-subset/resolve/main/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 81295003e9376e08ca0106c1aef6cd7f7d395dc04be74efcc7fc867fed620032
- Size of remote file:
- 455 MB
- SHA256:
- d6a3dfe59e037f449a664ae7f3aff406d066d915c75e8c6c9d47e0d126b129a4
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