Instructions to use patrickblanks/plugilodci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use patrickblanks/plugilodci 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("patrickblanks/plugilodci") prompt = "plugilologo logo flat blue grey white background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e7cd23320c49746b109291d9a40fce036a51b676f7c083d328fe0a6d91472edf
- Size of remote file:
- 7.53 MB
- SHA256:
- c88d04a3299bb39fa123ecadfd4e32e5f9284b86603bdafefed60acefdb05f56
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