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
newvae
Browse files
README.md
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@@ -41,6 +41,7 @@ At AiArtLab, we strive to create a free, compact and fast model that can be trai
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- Feb 26: Reverted to classic architecture; tested all SDXL innovations and went back to simple diffusion.
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- Mar 26: Created an 32ch 8x/16x asymmetric VAE and switched to Qwen3.5 2B as text encoder.
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- Apr 26: Alpha version
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### Samples with seed 0 and good prompts
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- Feb 26: Reverted to classic architecture; tested all SDXL innovations and went back to simple diffusion.
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- Mar 26: Created an 32ch 8x/16x asymmetric VAE and switched to Qwen3.5 2B as text encoder.
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- Apr 26: Alpha version
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- Apr 26: finetuned VAE
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### Samples with seed 0 and good prompts
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