Image generation experiments for children’s book illustration workflows, style consistency, character consistency, page by page art direction
Dataset building and curation, reference collection, captioning, prompt sets, quality checks, bias and safety checks
LoRA training and evaluation, style LoRAs, character LoRAs, control of pose, composition, and repeatable outputs
Prompting systems and automated prompt generation, templates, constraints, negative prompts, reproducibility
Multimodal knowledge workflows, linking manuscript context to visual briefs, retrieval of reference guides, image and text grounding
Rapid testing harness, A, B comparisons, scoring rubrics, human review loops, failure analysis, iteration logs
LLMOps and MLOps basics, experiment tracking, model versioning, evaluation reports, cost and latency tracking
Building small prototypes that connect models to product flows, API wrappers, batch pipelines, internal tools for the team
Documentation, clear notes, reusable notebooks, repeatable scripts, simple internal guides for future interns

Currently studying AI, ML, Data Science, or a related field
Can write Python code to test ideas quickly, iterate, and report results clearly
Curious, structured, and able to work independently with weekly check ins
Comfortable discussing tradeoffs like quality, cost, speed, and consistency
Preference if you know below
Any prior work with Stable Diffusion style models, LoRA, fine tuning, ControlNet, or similar
Text to Image
Midjourney prompt craft and systematic exploration

AI Intern – Stable Diffusion, Generative AI Image Generation

Key skills