Instructions to use XDG-XHS/distar_long_1step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XDG-XHS/distar_long_1step with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("XDG-XHS/distar_long_1step", 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:
- 6c509c61922cd7adc72ee69fa452e79b2e67e2e95021eae8e97537daf493d840
- Size of remote file:
- 5.14 GB
- SHA256:
- 64bbd041c2d3cc48c57570815946ce876f65359836c5f7483a08c2737318440b
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