Instructions to use XDG-XHS/diff_instruct_1step with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XDG-XHS/diff_instruct_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/diff_instruct_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:
- 20da78ebcdf47f7714db6efe2158f98f6216853cce0b97a7817dd93de76deb5c
- Size of remote file:
- 5.14 GB
- SHA256:
- 4c0fa73549182f8b1b664c9cc18d405f3f262755affe9c441102f59558eccdc5
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