Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
preference-optimization
pickscore
diffusion-lair
Instructions to use austin-k-wang/DiffusionLAIR-SDXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use austin-k-wang/DiffusionLAIR-SDXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("austin-k-wang/DiffusionLAIR-SDXL", 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
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Download README.md from austin-k-wang/DiffusionLAIR-SDXL: direct link, hf CLI and curl.
- Browser
- Download file 28 Bytes
-
https://huggingface.co/austin-k-wang/DiffusionLAIR-SDXL/resolve/2ddb58aa8d6b32041ed2dbe84b39b2b8551759d1/README.md
- Command line
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hf download hf://austin-k-wang/DiffusionLAIR-SDXL@2ddb58aa8d6b32041ed2dbe84b39b2b8551759d1/README.md
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curl -L -o README.md https://huggingface.co/austin-k-wang/DiffusionLAIR-SDXL/resolve/2ddb58aa8d6b32041ed2dbe84b39b2b8551759d1/README.md
28 Bytes
metadata
license: openrail++