---
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: Vaginov
widget:
- text: >-
    Bold Title Caps Text: "A Journey into Chaos", HD vintage color raw photo of
    a solo Vaginov reading out a poem to the woods in a park in Peterhof,
    detailed realistic crisp lifelike amateur photography, HD 16mm color movie
    about the 1920s USSR, text: \A Journey into Chaos\, mysterious mythic
    creatures from Greek mythology like nymphs and fauns and satyrs peek from
    behind trees to hear the poems he reads, moderately wrinkled weathered lined
    skin texture with pores and imperfections, intricate details, analog camera,
    raw photo, film grain
  output:
    url: images/example_1g0hs7ig5.png

---

# Vaginovflux

<Gallery />

Trained on Replicate using:

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


## Trigger words
You should use `Vaginov` 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/VaginovFlux', 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)