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:
- 3a9ab8be4d4e07a10bfee33b5ee16eb0c1773f4afe05a64e9f27b0b18b280baa
- Size of remote file:
- 2.24 GB
- SHA256:
- 6fd189d4154f9b69e0c39fc32276b9dd19fe273d865a8f5ae76bfadba69f9e6b
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