AlekseyCalvin's picture
Add generated example
b3981ec verified
|
raw
history blame
1.89 kB
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: MAYAKOVSKY...
    output:
      url: Hstv2Mayak.webp
  - text: A wanted poster of MAYAKOVSKY
    output:
      url: Mayak2.png
  - text: A wanted poster of MAYAKOVSKY
    output:
      url: Mayak3.png
  - text: >-
      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
    output:
      url: images/example_jk2eytbzo.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 Low-Rank Adapter (LoRA) for Silver Age Poets

Visit SilverAgePoets.com for our translations
From the works of the great poet, artist, and communist activist:

Vladimir Mayakovsky (b.07/19/1893-d.14/04/1930)

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