---
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-schnell
pipeline_tag: text-to-image
instance_prompt: PCCLFGRTV
library_name: diffusers
inference:
  parameters:
    width: 1024
    height: 1024
widget:
- text: PCCLFGRTV style. Superman feeding a cow
  example_title: Superman with a cow
  output:
    url: samples/superman-cow.png
- text: >-
    This is a Cubist-style painting that employs geometric shapes, muted colors,
    and overlapping forms to depict a still life scene. PCCLFGRTV style. Night
    scene. a raining Gotham city. Batman is facing the camera.
  example_title: Batman in Gotham city
  output:
    url: samples/batman-gotham-city.png
- text: PCCLFGRTV style. Spiderman in a rural scene.
  example_title: Spiderman
  output:
    url: samples/spiderman.png
- text: >-
    painting by PCCLFGRTV of snoop dog smoking a very large cigar weed.  Cubist
    geometric style.
  example_title: Snoop Dog
  output:
    url: samples/snoop-dog.png
- text: >-
    This is a Cubist-style painting that employs geometric shapes, muted colors,
    and overlapping forms to depict a still life scene. PCCLFGRTV style. E.T.
    the extra terrestrial the brown character with blue eyes, long neck and red
    light on the belly , stylized character design on white background
  example_title: E.T.
  output:
    url: samples/et.jpg
---

# Flux Lora Piccoli Figurative

Trained on Replicate using:

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


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

<Gallery />



## 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('lichorosario/flux-lora-piccoli', 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)