Instructions to use opendiffusionai/xllsd-alpha1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use opendiffusionai/xllsd-alpha1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("opendiffusionai/xllsd-alpha1", 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
- Draw Things
- DiffusionBee
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Check out the documentation for more information.
xllsd-alpha1
This is a work-in-progress for a SD1.5 model, with SDXL VAE, and LongCLIP grafted on.
This is not suitable for normal "I want to make a pretty picture" use. This is only shared here as a test dummy to experiment with LongCLIP + SD1.5 inference.
The output is NOT pretty. (but it is at least human comprehensible, unlike the alpha0 version :) )
Sample ComfyUI workflow
A sample config is provide in this area, as XLLSD-diffusers-comfyui.json
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