Instructions to use diffusers-test/test4xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-test/test4xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-test/test4xl", 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
- Draw Things
- DiffusionBee
- Xet hash:
- c39db488b9ff4519ae07839d94e97d76e7bbc7a24e3c8755b2710db707a68116
- Size of remote file:
- 5.14 GB
- SHA256:
- 2a76cae4945eec355b90d3bfca73a458a2629f8c56c9ee94a90b3e5e1d38148a
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