Instructions to use Jonjew/RosarioDawson with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/RosarioDawson 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jonjew/RosarioDawson") prompt = "<lora:Rosario_Dawson_Flux:1> beautiful detailed photograph, shoulder length hair, wearing a boatneck dress, standing in a cafe, smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Rosario Dawson

- Prompt
- <lora:Rosario_Dawson_Flux:1> beautiful detailed photograph, shoulder length hair, wearing a boatneck dress, standing in a cafe, smile
Model description
FROM https://civitai.com/models/997713/rosario-dawson-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/RosarioDawson
Base model
black-forest-labs/FLUX.1-dev