Instructions to use aipicasso/picasso-diffusion-1-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aipicasso/picasso-diffusion-1-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aipicasso/picasso-diffusion-1-1", 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:
- 31724842d735c038c995cc532b6ba6e67a1cd2722db52c3b454c42ba9198a19e
- Size of remote file:
- 335 MB
- SHA256:
- d0a718c9e4c5e096b5329e2bd5ed773562700cd3bd7cf3677c281fcd1f7adc6c
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