Instructions to use Jonjew/DominiqueMcElligott with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DominiqueMcElligott 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("Jonjew/DominiqueMcElligott") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Dominique McElligott by solo_lee

- Prompt
- -
Model description
FROM https://civitai.com/models/1527956/dominique-mcelligott-sololora?modelVersionId=1728762
Please support the creator by donating BUZZ to the creator and LIKING at the page above
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/DominiqueMcElligott
Base model
black-forest-labs/FLUX.1-dev