Instructions to use strangerzonehf/Flux-FlatLay-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use strangerzonehf/Flux-FlatLay-LoRA with Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("strangerzonehf/Flux-FlatLay-LoRA")

prompt = "flat lay, a medium-sized young man, dressed in a black t-shirt with a yellow collar and a yellow baseball cap on his head. The mans face is angled slightly to the left, with a serious expression on his face. His hair is styled in a wavy bob, adding a pop of color to the scene. The background is a vibrant shade of blue, creating a striking contrast to the mans shirt. The word \"ADER\" is prominently displayed on the front of the shirt, with the word \"error\" written in a bold, red font."
image = pipe(prompt).images[0]

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings
Draw Things
DiffusionBee

strangerzonehf
/

Flux-FlatLay-LoRA

Upload 12 files

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details

Git LFS Details