Instructions to use AiArtLab/sdxs-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/sdxs-1b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/sdxs-1b", dtype=torch.bfloat16, device_map="cuda") prompt = "sdxs-1b" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| diffusers>=0.32.2 | |
| accelerate>=1.5.2 | |
| datasets>=3.5.0 | |
| matplotlib>=3.10.1 | |
| wandb>=0.19.8 | |
| huggingface_hub>=0.29.3 | |
| bitsandbytes>=0.45.4 | |
| transformers | |
| hf_transfer | |
| comet_ml | |
| flash-linear-attention | |
| git+https://github.com/recoilme/muon_adamw8bit.git |