---
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: dilorenzo
widget:
- text: >-
    dilorenzo, A photo of a woman in a beige dress walking down a runway, with a
    crowd of people watching her. The woman is wearing a dress that is long and
    flowing, and she appears to be the center of attention. The crowd consists
    of people sitting and standing around the runway, with some of them holding
    cell phones. The overall atmosphere of the image is fashionable and lively.
  output:
    url: images/example_v2svqxs75.png
- text: >-
    dilorenzo, A photo of a woman in a white short dress walking down a runway,
    with a crowd of people watching her. The woman is wearing a dress that is
    long and flowing, and she appears to be the center of attention. The crowd
    consists of people sitting and standing around the runway, with some of them
    holding cell phones. The overall atmosphere of the image is fashionable and
    lively.
  output:
    url: images/example_100g2kf2h.png

---

# Dilorenzo

<Gallery />

Trained on Replicate using:

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


## Trigger words
You should use `dilorenzo` 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('veravira/dilorenzo', 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)