MoonshotAI
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Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
AI repository intelligence
FR-AI / ANALYSISWhy it is worth attention
It directly addresses the common 'AI-generated' look by enforcing film-inspired color discipline and composition constraints, offering three distinct modes with practical guidance.
Who it is for
- AI artists and image2image users seeking cinematic results
- Prompt engineers and developers building aesthetic control systems
- Filmmakers exploring AI-assisted pre-visualization
- Codex skill users interested in open-source creative tooling
Use cases
- Transforming a generated or real image into a cinematic still with an ETERNA-inspired grade
- A/B testing image quality with and without the skill's aesthetic constraints
- Reducing obvious AI artifacts through negative constraints and composition heuristics
- Applying consistent color and tone across a series of images for a film-like look
Strengths
- Provides three working modes (standard, clean-cinema, bleach-bypass) for different aesthetic goals
- Includes detailed palette references, negative constraints, LUT workflow notes, and composition guidance
- Preserves subject identity, scene logic, and motivated lighting unless creative rewrite is requested
- Open source with active development, welcoming forks, tests, and contributions
Considerations
- Experimental and actively improved, not a production-ready solution
- Does not include official Fujifilm LUTs or proprietary color science; it is a prompt-based approximation
- Sample images are early tests, not final benchmarks; effectiveness may vary across different image generation models
README quick start
Usage
Description
Experimental bilingual Codex skill for ETERNA-inspired image2image cinematic color and composition.
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