Instructions to use openfree/claude-monet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openfree/claude-monet 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("openfree/claude-monet") prompt = "Claude Monet's 1916 painting, Water Lilies, which is currently on display at the Metropolitan Museum of Art. The painting depicts a tranquil pond with water lilies floating on the surface, surrounded by lush green foliage and a variety of colorful flowers. The colors of the flowers range from bright pinks and purples to deep blues and greens, creating a peaceful and calming atmosphere. [trigger]" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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