Instructions to use benhamilto/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use benhamilto/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("benhamilto/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:
- 8e5f604dcc3285af4f47e87516fddaf7caf50f2c24924c7d27c50c67fe66ea9a
- Size of remote file:
- 3.44 GB
- SHA256:
- 38072fb4788525667a1191164fca1d714da6c1c20e8516bf34849bdcbdc838f4
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