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:
- 596317198424006b21d7046fbb5ce28074b761557b279069b512aa41fb69388a
- Size of remote file:
- 3.82 kB
- SHA256:
- d95c63a225b3f1ed36140a77c884d89f5eb85f4a18f7b100f945ec023d960ae8
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