Instructions to use dallinmackay/Cats-Musical-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dallinmackay/Cats-Musical-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dallinmackay/Cats-Musical-diffusion", 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 text_encoder/pytorch_model.bin from dallinmackay/Cats-Musical-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/dallinmackay/Cats-Musical-diffusion/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://dallinmackay/Cats-Musical-diffusion@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/dallinmackay/Cats-Musical-diffusion/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- c79f21c4a66eaae635476af0325e9639dc4c4bf4982ac92b0c39ecc4fc5f5c7c
- Size of remote file:
- 492 MB
- SHA256:
- 671160be154b7f41c7f2a8e45345893daecef3bac7681a2da23e14d145eabbd5
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