Instructions to use jamesspanx/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jamesspanx/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jamesspanx/test", 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:
- 14e01c4be601e489d104f786fc7c57f21351a5562ae37a955c6bc65152c2481e
- Size of remote file:
- 492 MB
- SHA256:
- f9b5f7cc11a82c6f44fbde7bcf47868db68045579558eec1991d3e68e5108d58
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