Instructions to use elvis92/pets_rank_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use elvis92/pets_rank_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("elvis92/pets_rank_2") 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
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Download diffusers/docs/source/en/api/utilities.md from elvis92/pets_rank_2: direct link, hf CLI and curl.
- Browser
- Download file 961 Bytes
-
https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/en/api/utilities.md
- Command line
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hf download hf://elvis92/pets_rank_2/diffusers/docs/source/en/api/utilities.md
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curl -L -o utilities.md https://huggingface.co/elvis92/pets_rank_2/resolve/main/diffusers/docs/source/en/api/utilities.md
961 Bytes
Utilities
Utility and helper functions for working with 🤗 Diffusers.
numpy_to_pil
[[autodoc]] utils.numpy_to_pil
pt_to_pil
[[autodoc]] utils.pt_to_pil
load_image
[[autodoc]] utils.load_image
export_to_gif
[[autodoc]] utils.export_to_gif
export_to_video
[[autodoc]] utils.export_to_video
make_image_grid
[[autodoc]] utils.make_image_grid