Instructions to use UmeAiRT/FLUX.1-dev-LoRA-Impressionism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UmeAiRT/FLUX.1-dev-LoRA-Impressionism 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("UmeAiRT/FLUX.1-dev-LoRA-Impressionism") prompt = "A painting of a man wearing a black hat, a black coat, and a beard. He is looking to the side and appears to be a portrait of a famous artist. The man is standing in front of a curtain and a window, with a potted plant nearby. The painting is in an impressionist style, capturing the artist's unique style and technique." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Very nice!
#1 opened 7 months ago
by
BingoBird