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", 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:
- c04b49e2cc1bd924a30a05b5e70ecb8503d7633072e582f773e4c1831ac4fe5f
- Size of remote file:
- 2.25 MB
- SHA256:
- 75df185fd41dd68a26e0a25bd35947277540c144ba193e6ae1fa8d4119b9edf5
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