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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ab7f086a15b87eba8d020f6b4e5f6459e6439528fef007bef979d98dc20a30f2
- Size of remote file:
- 2.24 GB
- SHA256:
- 152bab8bc5813ec882ec634c7301978a0ef29340d4c17b3ae77b6468e017dfbe
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