Instructions to use Jonjew/MargaretQualley with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MargaretQualley 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/MargaretQualley") prompt = "<lora:Margaret_Qualley_Flux:1> This is a high-resolution photograph of a woman, brown hair cascading over her shoulders. Wearing a boatneck dress, Standing in a cafe. Looking at the viewer. Smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Margaret Qualley

- Prompt
- <lora:Margaret_Qualley_Flux:1> This is a high-resolution photograph of a woman, brown hair cascading over her shoulders. Wearing a boatneck dress, Standing in a cafe. Looking at the viewer. Smile
Model description
FROM https://civitai.com/models/1137925/margaret-qualley-flux
Strength 1
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/MargaretQualley
Base model
black-forest-labs/FLUX.1-dev