Instructions to use skyslayer/sdl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use skyslayer/sdl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("skyslayer/sdl") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
sdl

- Prompt
- -
Download model
Weights for this model are available in Safetensors format.
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Hardware compatibility
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8-bit
Model tree for skyslayer/sdl
Base model
black-forest-labs/FLUX.1-dev