Instructions to use 004T/StableXlL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 004T/StableXlL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("004T/StableXlL", 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
- Xet hash:
- b4fa56d5b18dedeaf3e2b5291a28f807d8716d7299b5501bffe7d2d12713c4d6
- Size of remote file:
- 271 MB
- SHA256:
- 772e09739d742ddee6807add2d3c2fd2a32db53896b5d07a92c729d8c879ce59
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