README.md

---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: A  BashkirWoman
  output:
    url: samples/1726942302079__000001000_0.jpg
- text: >-
    close-up, earrings design Bashkir, minimalistic, generative eco style made
    of plastic, minimum of details  BashkirWoman
  output:
    url: images/example_ny4e875uu.png
- text: >-
    close-up, earrings design Bashkir, minimalistic, generative eco style made
    of plastic, minimum of details BashkirWoman
  output:
    url: images/example_4kp98ajpn.png
- text: >-
    a woman in a black and red dress standing in front of a wall adorned with
    colorful carpets and boxes. She is wearing a traditional costume, with
    intricate embroidery and beading, and her hair is pulled back in a bun
    BashkirWoman
  output:
    url: images/example_s0f1zrcu6.png
- text: >-
    a group of women in red and black dresses dancing on a stage, with a few
    people sitting on chairs in the background and a dark backdrop. BashkirWoman
  output:
    url: images/example_jrj42h2jw.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: BashkirWoman
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md

---

# bashkir-woman
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

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

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/life/bashkir-woman/tree/main) them in the Files & versions tab.

## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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('life/bashkir-woman', weight_name='bashkir-woman')
image = pipeline('A  BashkirWoman').images[0]
image.save("my_image.png")
```

For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)