metadata
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
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