Instructions to use AlexanderLab/fsh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlexanderLab/fsh 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/fsh") prompt = "FSH" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 093225a6ab48cee0ee1bd795fb76ead022eddd29be9c05c43a63bdeb71c3f681
- Size of remote file:
- 344 MB
- SHA256:
- e00ffa44ca876f87c51f49ee9a5aa8e205fa6fb49470d19524fd8e3519c4c359
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.