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metadata
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
language:
  - en
tags:
  - flux
  - diffusers
  - lora
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: MAYAKOVSKY
widget:
  - text: A wanted poster of MAYAKOVSKY
    output:
      url: Mayak1.png
  - text: A wanted poster of MAYAKOVSKY
    output:
      url: Mayak2.png
  - text: A wanted poster of MAYAKOVSKY
    output:
      url: Mayak3.png
Prompt
A wanted poster of MAYAKOVSKY
Prompt
MAYAKOVSKY...
Prompt
A wanted poster of MAYAKOVSKY
Prompt
A wanted poster of MAYAKOVSKY
Prompt
medium close up on detailed Vladimir MAYAKOVSKY dancing at a 1920s Berlin cabaret with golden snakes on the floor and spilled merlot wine and soviet nickels, angels and poems slide out of his sleeves

VLADIMIR MAYAKOVSKY FLUX LORA

Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use MAYAKOVSKY to trigger the image generation.

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.float16).to('cuda')
pipeline.load_lora_weights('AlekseyCalvin/MayakFlux', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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