Instructions to use IronP/kontext_ocean_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IronP/kontext_ocean_v1 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("IronP/kontext_ocean_v1") prompt = "hand-painted oil painting, matte painted surface, ocean, beach, organic imperfect edges, texture, soft palette, contours, long brush strokes, readable facial features, stable likeness, preserve original composition" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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