metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A  BashkirWoman
    output:
      url: samples/1726942302079__000001000_0.jpg
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

Prompt
close-up, earrings design Bashkir, minimalistic, generative eco style made of plastic, minimum of details BashkirWoman

Prompt
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

Prompt
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

Prompt
a woman in a red dress riding on the back of a brown and white horse, surrounded by lush green grass and trees in the background. BashkirWoman

Prompt
Stills from the fantasy film show a BashkirWoman woman in a tight white riding on the back of a white horse with huge wings, flying in the air, followed by dynamic and dreamy flames, and the whole picture exudes the surreal and dreamlike quality typical of fantasy films.

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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