Instructions to use plugilode/dcilogo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use plugilode/dcilogo 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("plugilode/dcilogo") 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:
- f7629d9f9918beab4288e3449ad01aef7d3631f2a0c864522a2e552a9e594b4e
- Size of remote file:
- 2.15 MB
- SHA256:
- 2727d2dad7c0253052a0d3917161216259c7384170dce3360634235675bd25b7
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