Instructions to use uriel353/amouranth-flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uriel353/amouranth-flux 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("uriel353/amouranth-flux") prompt = "<lora:amouranth-flux:1> beautiful detailed photograph, red hair cascading down her shoulders, large breasts, wearing an elegant turtleneck dress, standing in cafe looking at the viewer, smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
amouranth-flux

- Prompt
- <lora:amouranth-flux:1> beautiful detailed photograph, red hair cascading down her shoulders, large breasts, wearing an elegant turtleneck dress, standing in cafe looking at the viewer, smile
Model description
It's not my model. I just uploaded it here.
https://civitai.com/models/917107/amouranth-flux
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 uriel353/amouranth-flux
Base model
black-forest-labs/FLUX.1-dev