Instructions to use andynguyenhuu/andynguyen-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use andynguyenhuu/andynguyen-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("andynguyenhuu/andynguyen-lora") prompt = "A high-quality studio portrait photograph of ANDYNGUYEN, a smiling man wearing an unbuttoned tan corduroy trucker jacket over a dark navy blue crew neck t-shirt, and blue denim jeans. He has short spiked black hair and stands with his hands in his pockets. Plain light gray background, soft studio lighting, sharp focus, highly detailed, photorealistic, 8k, DSLR." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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