diffusers flux lora replicate text-to-image en base_model:black-forest-labs/FLUX.1-dev base_model:adapter:black-forest-labs/FLUX.1-dev license:other region:us
---
base_model: black-forest-labs/FLUX.1-dev
language:
- en
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
pipeline_tag: text-to-image
tags:
- flux
- diffusers
- lora
- replicate
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
---
<Gallery />

# VLADIMIR MAYAKOVSKY FLUX Low-Rank Adapter (LoRA) for Silver Age Poets

<!-- <Gallery /> -->

Visit [SilverAgePoets.com for our translations](https://www.silveragepoets.com/vladimir-mayakovskiy)<br>
From the works of the great poet, artist, and communist activist: <br>

**Vladimir Mayakovsky** *(b.07/19/1893-d.14/04/1930)* <br>

## Trigger words
You should use `MAYAKOVSKY` to trigger the image generation.


## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)

```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
