---
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: VenereIA
widget:
- text: >-
    VenereIA, a 20-year-old art student with stunningly beautiful features,
    visits  a gallery of modern art ,where there are some illuminating spots.
    Her cascading curly hair, subtly tinted with a slight shade of red, frames
    her brilliant blue eyes that seem to hold the depth of the ocean. Her
    ethereal beauty reminiscent of Botticelli's Venus demands attention. She
    wears a very elegant white nearly transparent cropped shirt  and black
    short  jeans. Her hands are visible.  She moves through the gallery and
    looks at a painting, smiling slightly. Capture her essence in an
    ultra-realistic full body portrait in an angle view bathed in sharp, vivid
    details and a bokeh effect that enhances her allure. Some of the art works
    are in the background. This high-contrast image bursts with colors and
    textures, creating a mesmerizing visual narrative fit for a prestigious
    photo magazine like the Vogue.
  output:
    url: images/example_qhercsfbz.png

---

# Venere

<!-- <Gallery /> -->

Trained on Replicate using:

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


## Trigger words
You should use `VenereIA` 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('Bern66/Venere', 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)