Instructions to use hf-internal-testing/tiny-sdxl-custom-components with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-sdxl-custom-components with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-sdxl-custom-components", 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
Commit History
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remove deprecated LoRA blocks (#1)
Verified signature- fix for PR: 8623 (16d8d119a69e13a0eb0b86bb9b524b12685eb451) - fix more (0abaa8ad4ab07bda9230858d837fcdb7c5edffcb)ce2b9d3
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Update model_index.json
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Update model_index.json
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Update README.md
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Update scheduler/my_scheduler.py
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Create my_pipeline.py
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Update model_index.json
648f989 -
Create my_unet_model.py
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Create my_scheduler.py
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Duplicate from hf-internal-testing/tiny-stable-diffusion-xl-pipe
Co-authored-by: Sayak Paul <sayakpaul@users.noreply.huggingface.co>a53c3fa