Instructions to use briannlongzhao/picasso_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/picasso_custom_diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briannlongzhao/picasso_custom_diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "a paining of <new1>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 08b78521dcb1a7754dc6651412ba331b01ad814e95d23620debd5a3e58a009eb
- Size of remote file:
- 102 MB
- SHA256:
- 1be888fa3d814bc1eed2e2e210396e7aa9ac6cbc56a89ae2b365f50184bd64a5
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