Flux LoRAs
Collection
7 items β’ Updated β’ 3
How to use bingbangboom/flux_geopop 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", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("bingbangboom/flux_geopop")
prompt = "a cat in a field of purple flowers, illustration in the style of NWGMTRCPOPV01"
image = pipe(prompt).images[0]





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Flux LoRA for creating geometrically styled illustrations. Use 'illustration in the style of NWGMTRCPOPV01' to trigger the model. Best with DEV (works well even with fp8). To use with flux1-dev-bnb-nf4 try increasing the LoRA strength (to say 1.3 and then adjust accordingly)
You should use illustration in the style of NWGMTRCPOPV01 to trigger the image generation.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Trained at Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train
Base model
black-forest-labs/FLUX.1-dev