Instructions to use jejunepixels/Hammershoi-Flux1-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jejunepixels/Hammershoi-Flux1-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("jejunepixels/Hammershoi-Flux1-LoRA") prompt = "hmrsh, portrait painting, wide, dark chiaroscuro, woman in dark dress seated at desk, single lamp casting focused circle of light on surface, closed laptop within the lit area, deep shadow surrounding, pale wall barely visible, oil on canvas, danish symbolism, muted palette" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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