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
- Xet hash:
- b44603fa76f7b332d72754d8341fe8cc73e712b638d125016ff5a4a3c806c52b
- Size of remote file:
- 492 MB
- SHA256:
- 53304bf87fc56bc0084de3e686cefc064a20de167e92b2e9913bfb8ad3db43e8
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