Instructions to use baldesco/textual_inversion_hummus_bodega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use baldesco/textual_inversion_hummus_bodega with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baldesco/textual_inversion_hummus_bodega", 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 vae/diffusion_pytorch_model.bin from baldesco/textual_inversion_hummus_bodega: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/baldesco/textual_inversion_hummus_bodega/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://baldesco/textual_inversion_hummus_bodega/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/baldesco/textual_inversion_hummus_bodega/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- af5bd63d417178e5c0ae5a70399c675929baa805b9e18f184d943a8cba47fbea
- Size of remote file:
- 335 MB
- SHA256:
- d16a79cb6c6127b8965341d585af620c4fd9362c4d33d561213d2bdd2f0727fb
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