Instructions to use guijsos/guilherme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use guijsos/guilherme with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("guijsos/guilherme", 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:
- bd3583cd36cd815bd7a2600450817036f17f481983c34a4d9c1990a6233a8e9a
- Size of remote file:
- 246 MB
- SHA256:
- 503ae577ea5b90bc6549af867f8048f103a0b2820b148fb62f2ab35a2aace957
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