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", torch_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:
- 60135ac4ae6e34164d1850e9962b411ddeb20fc0ae222dc1b5af72257314101b
- Size of remote file:
- 492 MB
- SHA256:
- a672f46fc6db0c8eef7d813b5cef688489afe2db83a679f54fdda5a52aa76369
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