Instructions to use Jonjew/GeenaDavis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/GeenaDavis 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/GeenaDavis") prompt = "<lora:Genna_Davis_Flux:1.2> This is a photograph of a young woman standing standing in a cafe, looking at the viewer smiling, likely from the 1980s. She has long, voluminous, curly brown hair that cascades over her shoulders. Her facial expression is serious, with her lips painted a bold red, and she is wearing a red and white striped sleeveless top. Around her neck is a long, beaded necklace, and she accessorizes with gold hoop earrings." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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