---
language:
  - en
license: other
license_name: flux-1-dev-non-commercial-license
license_link: LICENSE.md
extra_gated_prompt: >-
  By clicking "Agree", you agree to the [FluxDev Non-Commercial License
  Agreement](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md)
  and acknowledge the [Acceptable Use
  Policy](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/POLICY.md).
tags:
  - text-to-image
  - image-generation
  - flux
  - diffusers
  - lora
pipeline_tag: text-to-image
base_model: black-forest-labs/FLUX.1-dev
library_name: diffusers
instance_prompt: mabama
widget:
  - text: >-
      mabama, Hot brunette woman in leggings and sweater, standing in city,
      detailed face, narrow waist, closed lip smirk, high quality,
      ultra-realistic
    parameters:
      negative_prompt: CyberRealistic_Negative-neg, badhandv4
    output:
      url: images/un_osito_polar_como_mascota_de_la.jpeg
---

# tart-flux-mab

<Gallery />

## Model description

**tart-flux-mab** is a LoRA model tailored for FLUX.1-dev.

## Trigger words

You should use `mabama` to trigger the image generation.

## Download model

Weights for this model are available in Safetensors format.

[Download](/omarViga/tart-flux-mab/tree/main) them in the Files & versions tab.

## Use it with Diffusers

```python
from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cuda")
pipeline.load_lora_weights("omarViga/tart-flux-mab", weight_name="nombre_de_tu_archivo.safetensors")
image = pipeline("mabama, Hot brunette woman in leggings...").images[0]