Instructions to use JasonWen/temp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JasonWen/temp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JasonWen/temp", 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
- Xet hash:
- 169fa66f04183c77892f90ec5e3dc9bff899c5eda501e6e79dfbc5954befb552
- Size of remote file:
- 1.7 GB
- SHA256:
- 54793d472b05ceb7f5620111c371aedbb544dc5a90a8f09dd54e91545ebf7850
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