Image Model ML Project
Task 1: Semantic Style Frame Creation
Objective: Generate a stylized keyframe that semantically aligns a reference style with a target subject.
Current Approach:
Use Flux Kontext as primary solution
Implement Claude agent to prompt for subject and style extraction
Remix reference image into target subject while maintaining style consistency
Future Iterations:
Fine-tune Flux Kontext with open weights for direct processing
Explore OmniGen2 as alternative solution
Current testing shows Flux Kontext as best performing option
Task 2: Semantic Image Alignment with Keyframe
Objective: Precisely edit the generated style frame to match the exact keyframe positioning and composition.
Current State:
Existing image model provides decent baseline
Issue: Gets overpowered when using ControlNet Union
Implementation Options:
Style Guide Implementation: Single-shot semantic fitting without manual ControlNet selection
Video Model Transition: Use GPT 4o video model to semantically align frames through transition analysis
Requirements:
Must be fully automated (no manual ControlNet selection)
Should intelligently analyze image and keyframe relationship
Single-shot processing capability
Price
We are offering ~$2k for this project. If you’re interested please contact rishi@glyf.space or shaheel@glyf.space
