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
Download eyecatch.jpg from aipicasso/picasso-diffusion-1-1: direct link, hf CLI and curl.
- Browser
- Download file 977 kB
-
https://huggingface.co/aipicasso/picasso-diffusion-1-1/resolve/main/eyecatch.jpg
- Command line
-
hf download hf://aipicasso/picasso-diffusion-1-1/eyecatch.jpg
-
curl -L -o eyecatch.jpg https://huggingface.co/aipicasso/picasso-diffusion-1-1/resolve/main/eyecatch.jpg
977 kB

- Xet hash:
- de0b3f271b9d3586c2a52b641de89bf144a9424c20ddb68bb7c96f15ccf74d58
- Size of remote file:
- 977 kB
- SHA256:
- c027d7bce0e6e023930399ffecad155f090b62b3a002c5107bc0f118d1045eae
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