Instructions to use AlexanderLab/shl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/shl 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("AlexanderLab/shl") prompt = "SHL" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b0f78cd973eaf8b29da6bccc9eb6a60979c9ba4b8d306245e2c26edb2c988459
- Size of remote file:
- 344 MB
- SHA256:
- 4ce94e2047c9047da1ea07ef21ada2146da488abd854f6baeb307c04a1aafe14
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