---
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: Mandelshtam
widget:
- text: >-
    color autochrome photo of Osip Mandelshtam carrying bottles in a bag in
    Leningrad, best quality movie scene, early 1930s color photo, colorized
    German expressionist movie still,
  output:
    url: images/example_8kemybhmf.png
- text: >-
    color autochrome photo of thin weary young Osip Mandelshtam in rags carrying
    bottles in a bag in Petrograd in 1916, best quality movie scene, early 1930s
    color photo, colorized German expressionist movie still, moderately worn
    wrinkled skin
  output:
    url: images/example_zj2kymy4y.png
- text: >-
    color photo of thin weary Osip Mandelshtam in rags writing a poem in
    Voronezh in 1934, best quality movie scene,  1930s Soviet color photo,
    colorized movie still, moderately worn wrinkled skin
  output:
    url: images/example_cfrouvqc8.png

---

# Mandelshtamflux3

<Gallery />

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train


## Trigger words
You should use `Mandelshtam` 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/MandelshtamFlux3', 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)