Instructions to use sandstream/sandstream-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sandstream/sandstream-lora 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("sandstream/sandstream-lora") prompt = "S4NDSTR34M" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ca33a553778d31237a654f3e331df792f59c9508980e04c12c453782a2a920b7
- Size of remote file:
- 173 MB
- SHA256:
- af7b0cd55cab395c2730abb58fcdeeac1990f8e9636cbc98b4453832343f5a15
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