Instructions to use ukeeba/test11-11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ukeeba/test11-11 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/test11-11", 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:
- dafd9370387eef3d81846c1eca33ce26974fa8b94336b41b7528a22b295cb32e
- Size of remote file:
- 3.44 GB
- SHA256:
- c2b3baf597bffd58525bd58adf7a8780fce24ca2eac1687990148a56abd7343a
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