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("gokaygokay/Flux-Mandala-LoRA")
prompt = ".."
image = pipe(prompt).images[0]Usage
MNDLS, mandala drawing for best results
This LoRA is trained with FAL Fast LoRA Trainer .
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Citation and attribution
This model release is maintained by Gökay Aydoğan. If you reference this repository in academic work, please cite it as follows and also cite the upstream models, datasets, or projects it builds upon.
@software{aydogan2024flux_mandala_lora,
author = {Aydoğan, Gökay},
title = {{Flux-Mandala-LoRA}},
year = {2024},
publisher = {Hugging Face},
url = {https://huggingface.co/gokaygokay/Flux-Mandala-LoRA},
note = {Model repository; cite the base model and upstream datasets as required.}
}
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Model tree for gokaygokay/Flux-Mandala-LoRA
Base model
black-forest-labs/FLUX.1-dev