Instructions to use jacobposel/pattern-only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jacobposel/pattern-only 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jacobposel/pattern-only") prompt = "<lora:pattern>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e34d4ac7fff25def3e3b284c5dccc86460f304434777b541eaf9c5c801a5c8be
- Size of remote file:
- 172 MB
- SHA256:
- cb6de2e017bba5e7daa139fc2b0cdacdbc64d925d8e5840de1598900321576d3
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