Instructions to use j778/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use j778/test_model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("j778/test_model", 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:
- 9d0751e2c81bb2beb99cc3937fdcbbf761b2efd71e0be475bcbb573afa5e3b0a
- Size of remote file:
- 2.78 GB
- SHA256:
- 963b9ebd4727f68a06d5c9d0d0320be35a579e69408cc1959c6d318f2a9a6bf9
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