Instructions to use ygohel18/lora-gen-logo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ygohel18/lora-gen-logo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ygohel18/lora-gen-logo") prompt = "icon,logo,logo design,illusration,vestor,terndign on artstation,from freepik.com,branding,identity design,logo,wordmark,symbol,minimal,golderratio" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Gen Logo

- Prompt
- icon,logo,logo design,illusration,vestor,terndign on artstation,from freepik.com,branding,identity design,logo,wordmark,symbol,minimal,golderratio
- Negative Prompt
- lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry
Model description
Generate a logo with this LoRA
Trigger words
You should use logo to trigger the image generation.
You should use design to trigger the image generation.
You should use lora to trigger the image generation.
You should use graphics to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for ygohel18/lora-gen-logo
Base model
runwayml/stable-diffusion-v1-5