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Open-Source Image Generation: Diffusion Models & LoRA - AI Build & Learn

10 July Online

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About this event

Welcome to AI Build & Learn, a weekly AI engineering stream where we pick a new topic and learn by building together.

This event is about generating images with AI. There's no single model we're locked into, the point is to explore what's out there and actually try a few. We'll focus on open-source models, but you're welcome to bring commercial ones (DALL·E, Midjourney, and friends) if you want to compare.

We'll try to look at both major families: diffusion-based models (the dominant approach today) and transformer-based / autoregressive image models. I'll research and try some of the best open-source options ahead of the stream, and if time allows we'll also try fine-tuning with LoRA to teach a model a new style or subject.

Some things to look up to get started:

Open-source models:

FLUX.2 (Black Forest Labs): current open-weight quality benchmark; DiT backbone, up to 4MP, multi-image reference
Stable Diffusion 3.5 / SDXL (Stability AI): deepest ecosystem — LoRA, ControlNet, inpainting, countless fine-tunes
Qwen-Image (Alibaba): strong all-rounder, especially good at rendering text (including Chinese)
Z-Image / Z-Image-Turbo: Apache-2.0, near FLUX.2 quality in just a few steps (fast and commercial-friendly)
HunyuanImage (Tencent): another high-quality open-weight option

Tooling:

Hugging Face Diffusers: https://github.com/huggingface/diffusers
ComfyUI: node-based workflows: https://github.com/comfyanonymous/ComfyUI
LoRA fine-tuning for diffusion models

Resources

GitHub: https://github.com/sagecodes/ai-build-and-learn
Events Calendar: https://luma.com/ai-builders-and-learners
Slack (Discuss during the week): https://slack.flyte.org/
Hosted by Sage Elliott: https://www.linkedin.com/in/sageelliott/

In this stream

Intro to topic
Community Discussion
Practical examples

Community challenge (optional)
Try spending 30–90 minutes during the week learning or building something related to the topic, then share what you’re working on in Slack.

Note on Flyte / Union
You may see Flyte used in some demos. Flyte is an open-source AI orchestration platform maintained by Union (where I work) for building scalable, durable, and observable AI workflows. You do not need to use Flyte to participate.

Union: https://www.union.ai/
Flyte: https://flyte.org/

Drop a comment with ideas for future topics (agents, RAG, MLOps, robotics, frameworks, and more).

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