metadata
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.
Use it with the 🧨 diffusers library
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