Instructions to use aipicasso/clean-diffusion-2-0-poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aipicasso/clean-diffusion-2-0-poc 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/clean-diffusion-2-0-poc", dtype=torch.bfloat16, device_map="cuda") prompt = "Cartoon, ocean." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0dc4c2a67d72ae3f8d8b5d399fbec1b3b59850a44c6e120e8991db146f77b46a
- Size of remote file:
- 335 MB
- SHA256:
- a3afeb7cd0a9668b1a1a999869a3d57020c911e35b9dba66973fd2d1a4deb472
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