Instructions to use fusing/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fusing/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fusing/test", 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
- Draw Things
- DiffusionBee
- Xet hash:
- a955486c1d98f4f7599a2e744ea6889157004b3ffe9b09c79bc55c97c10b4f95
- Size of remote file:
- 1.12 GB
- SHA256:
- b8ccd923aa74d6caa3f604cfdb01db95a269c11aa5400cb9b92d68c0abe72b94
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