Instructions to use Azam/mug_textual_inversion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Azam/mug_textual_inversion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Azam/mug_textual_inversion", 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:
- f18fa269a731a06b17841292d36e7b5cbab12e798450c3451438ea6a71359402
- Size of remote file:
- 492 MB
- SHA256:
- 31b8728e73f0b1d134c85df13ce88bab4302500632be21f90fe7fdf8ba0406e6
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