metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- image-generation
- flux
- safetensors
widget:
- text: logo,Minimalist,Make a picture of a camera with the word 'Me'
output:
url: images/73e7db6a33550d05836ce285549de60075d05373c7b0660d631dac33.jpg
- text: wablogo, Minimalist, banboo and panda,logo
output:
url: images/ddcef76ded3c757896813f73ab69525785ac5a3a46e7edad99738726.jpg
- text: wablogo, Minimalist, Leaf and cat,logo
output:
url: images/13a3ce0a23c2059e8d8ac23d61cd577ef6d8fe3d998e4bd92cf140ff.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: wablogo, logo, Minimalist
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
FLUX.1-dev-LoRA-Logo-Design
This is a LoRA (Logo-Design) trained on FLUX.1-dev by CJim on Shakker AI.
Showcases
Trigger words
You should use wablogo, logo, Minimalist
as trigger words. The recommended scale is 0.8
in diffusers.
Inference
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design", weight_name="FLUX-dev-lora-Logo-Design.safetensors")
pipe.fuse_lora(lora_scale=0.8)
pipe.to("cuda")
prompt = "logo,Minimalist,A bunch of grapes and a wine glass"
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=3.5,
).images[0]
image.save(f"example.png")
Online Inference
You can also download this model at Shakker AI, where we provide an online interface to generate images.
Acknowledgements
This model is trained by our copyrighted users CJim. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.