Instructions to use glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev 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("glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev") prompt = "yyycdlogo, centered on a pure white background, minimal, ultra sharp vector logo, perfect edges" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
yyycd_logo_flux1dev
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Angelo-ec24.

- Prompt
- yyycdlogo, centered on a pure white background, minimal, ultra sharp vector logo, perfect edges

- Prompt
- yyycdlogo printed in white on a matte black background, centered composition, crisp geometry

- Prompt
- a product mockup box with yyycdlogo embossed on the front, studio lighting, high detail
Trigger words
You should use yyycdlogo to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.
License
This model is licensed under the flux-1-dev-non-commercial-license.
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Model tree for glif-loradex-trainer/Angelo-ec24_yyycd_logo_flux1dev
Base model
black-forest-labs/FLUX.1-dev