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:
- 810903a800788b61c87a95d2a60abd62fd1d7aae338bd56a08dcf804b4669f9c
- Size of remote file:
- 5.14 GB
- SHA256:
- 540cd4181089b070e6fa6a08b9aba1259c4805425299513e3b0413ba3204a21a
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