Instructions to use sweetpablo/diffuwusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sweetpablo/diffuwusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sweetpablo/diffuwusion", 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:
- f30c4e6ff161f987a6228cb935c3758fcb15fc4a668df751a17da946e2cbea11
- Size of remote file:
- 3.44 GB
- SHA256:
- 281f65d34ce96c64bdc96a48d9adf8108a2dfea4de9bbd9245d7359e49a543b1
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