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
Emily Beecham by Africaflake

- 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>
Model description
FROM https://civitai.com/models/1147905/emily-beecham-or-flux?modelVersionId=1291049
Please support the creator by donating BUZZ to the creator and LIKING at the page above
Strength 1.2
Brittish actress Emily Beecham
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/EmilyBeecham
Base model
black-forest-labs/FLUX.1-dev