Instructions to use cuixing/textual_inversion_cattest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cuixing/textual_inversion_cattest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cuixing/textual_inversion_cattest", 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 cuixing/textual_inversion_cattest: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/cuixing/textual_inversion_cattest/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cuixing/textual_inversion_cattest/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cuixing/textual_inversion_cattest/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 0ce99ce708957d5e6268b38a58610889a407814bc8d6a0ea5e5cfc0935531b55
- Size of remote file:
- 3.44 GB
- SHA256:
- 39aeb5f57e936fdb52331f49d69299fb130a5456c269b67c08699b109e8485fd
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