Instructions to use D33pStateTech/aznten-flux.1-dev-replicate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use D33pStateTech/aznten-flux.1-dev-replicate 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("D33pStateTech/aznten-flux.1-dev-replicate") prompt = "aznten a beautiful asian woman in her mid 30s wearing a green string bikini, with bright red lips, large breasts, small waist and toned athletic legs." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
aznten-flux.1-dev-replicate

- Prompt
- aznten a beautiful asian woman in her mid 30s wearing a green string bikini, with bright red lips, large breasts, small waist and toned athletic legs.
Model description
trained on replicate with 17 images, 1500 steps
Trigger words
You should use aznten to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for D33pStateTech/aznten-flux.1-dev-replicate
Base model
black-forest-labs/FLUX.1-dev