Instructions to use diffusers-test/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test2", 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:
- 547da12bbe9361c5636ddb3300db6fed6c5c9f2d58920b4d41dd269dfc002cf3
- Size of remote file:
- 1.72 GB
- SHA256:
- 599e2064750d6eff80cf7971e289db0b893b6f92decaabf0a4dbd7407997a2dc
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