metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      a Boris Yeltsin as president of Japan, handsome cool style, real photo,
      26K, pink-orange hair color 
    output:
      url: samples/1737465987953__000001991_0.jpg
  - text: >-
      a Boris Yeltsin as police officer, rainbow hair color, happy face, 26K,
      real photo, best quality
    output:
      url: samples/1737466017969__000001991_1.jpg
  - text: >-
      a Boris Yeltsin as Generalissimo of America, dark gray - hair color ,
      happy face, 26K, real photo, best quality
    output:
      url: samples/1737466047781__000001991_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Boris Yeltsin
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

boris-yeltsin

Prompt
a Boris Yeltsin as Generalissimo of America, dark gray - hair color , happy face, 26K, real photo, best quality

Trigger words

You should use Boris Yeltsin 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('openfree/boris-yeltsin', weight_name='boris-yeltsin.safetensors')
image = pipeline('a Boris Yeltsin as president of Japan, handsome cool style, real photo, 26K, pink-orange hair color ').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers