Instructions to use Jonjew/EmilyBeecham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/EmilyBeecham 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/EmilyBeecham") prompt = "(perfect quality photograph, extremely high resolution, perfect details), beautiful 35yo woman posing for a picture in front of a simple background, intricate details, depth of field <lora:Emily_Beecham_Flux_Rapid:1.3>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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