Instructions to use ukeeba/test1-11-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ukeeba/test1-11-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ukeeba/test1-11-1", 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:
- 31b1f85c9f4a4132fdaf90b57cc4166c238e15fef64a013cef9d75d23801e34e
- Size of remote file:
- 246 MB
- SHA256:
- fe9eb02ffed7cfe5dfeba1984c011784422c24d7fcfb149b177af16d3d6ab363
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