metadata
license: other
library_name: diffusers
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- flux
- flux-diffusers
- template:sd-lora
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Paper Cutout Style
widget:
- text: The cookie monster, Paper Cutout Style
output:
url: d979c6e346504090ae53b1a5ef5d4018_8b54c3ba6d284637b140f40718118b78.png
- text: Gal Gadot as wonderwoman, Paper Cutout Style
output:
url: d13591878d5043f3989dd6eb1c25b710_233c18effb4b491cb467ca31c97e90b5.png
- text: The Joker, Paper Cutout Style
output:
url: 4e5fd35736f24061a08bc57bb4c92ca4_e416314bb419473ca3da3f0971ec26ef.png
- text: >-
A green Cthulhu is rising from the blue sea in a great lightning storm,
based on a story by H.P. Lovecraft, Paper Cutout Style
output:
url: 08a19840b6214b76b0607b2f9d5a7e28_63159b9d98124c008efb1d36446a615c.png
- text: Kermit the frog, Paper Cutout Style
output:
url: 1f14bd65af7242149b0ab202e9b7a88c_ffb3fb9207f34d2dbc577bae2a2f38b2.png
Model description
These are Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style LoRA weights for black-forest-labs/FLUX.1-dev.
The weights were trained with the fal.ai Flux trainer.
Trigger words
You should use Paper Cutout Style
to trigger the image generation.
Download model
Download the *.safetensors LoRA in the Files & versions tab.
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.bfloat16).to('cuda')
pipeline.load_lora_weights('Norod78/Flux_1_Dev_LoRA_Paper-Cutout-Style', weight_name='Flux_1_Dev_LoRA_Paper-Cutout-Style.safetensors')
image = pipeline('Gal Gadot as wonderwoman, Paper Cutout Style').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
License
Please adhere to the licensing terms as described here.