Instructions to use ms2stationthis/threadguyflux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ms2stationthis/threadguyflux 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("ms2stationthis/threadguyflux") prompt = "This is a photograph of a young threadguy sitting in a black director's chair in what appears to be a studio or warehouse setting with a polished concrete floor. The threadguy, who has light skin and a well-groomed beard, is smiling and making a peace sign with his right hand. He is wearing a dark grey T-shirt with the text \"KILLER G\" printed in white on the back, along with a yellow graphic design. His pants are light brown, and he is wearing white sneakers." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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