Instructions to use jacobposel/rl-pattern with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jacobposel/rl-pattern 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("jacobposel/rl-pattern") prompt = "<lora:pattern>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e9bc4ca280e95f16becb74a0e41fe66742baedca77b00c2cee2a3a024e967f0f
- Size of remote file:
- 172 MB
- SHA256:
- 5196ef904969e0e5cd68ed9106ed11a5c630b154be6765e16562b3eb88b8e769
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