Instructions to use glif-loradex-trainer/Angelo-ec24_yyycdlogo_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glif-loradex-trainer/Angelo-ec24_yyycdlogo_v3 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_yyycdlogo_v3") prompt = " yyycdlogo, centered on a white background, minimal, ultra sharp" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
yyycdlogo_v3
Model trained with AI Toolkit by Ostris under the Glif Loradex program by Glif user Angelo-ec24.

- Prompt
- yyycdlogo, centered on a white background, minimal, ultra sharp

- Prompt
- matte black packaging box with yyycdlogo printed on the front, product mockup, studio lighting

- Prompt
- yyycdlogo printed in white on a black background, centered, clean edges, minimal design

- Prompt
- a realistic notebook with yyycdlogo printed on the cover, overhead view, clean stationary photography, natural textures, high detail

- Prompt
- black cotton t-shirt with yyycdlogo printed in white, frontal view, flat lay, realistic textile texture, soft shadows, commercial apparel photography
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_yyycdlogo_v3
Base model
black-forest-labs/FLUX.1-dev