Selected engineering work
Text-to-image generation with Stable Diffusion
Published in portfolio:
A Stable Diffusion exploration for visual concepts, with a public Colab notebook that wraps Hugging Face custom-diffusion training in Streamlit.
My contribution
Prototype developer
Created a public exploration of diffusion workflows, including a Streamlit interface for configuring custom-diffusion training in Colab.
Project context
Builds on Hugging Face Diffusers and pretrained models. The linked notebook is experimental source, not a hosted image-generation service.
Generative AI · Workflow
How it works
Prepare training data
Select sample images or supply custom instance data.
Configure the model
Choose the pretrained model and output location.
Launch custom diffusion
Use the notebook’s Streamlit controls to launch the Diffusers training workflow.
Explore the work
The portfolio date records the public listing. It does not establish the project's development dates.
Project description and engineering work
The portfolio exploration applies diffusion models to visual concepts for design and advertising. The public notebook focuses on training setup: dependency installation, instance and class data, model configuration and an Accelerate training command.
The interface brings these setup steps into Streamlit within Colab. It uses existing model and training libraries; it does not claim a new diffusion architecture or measured commercial savings.