ID-GEO: Generic Enhancement Operator
About this model
ID-GEO (Generic Enhancement Operator)
Experimental Ideogram 4 research LoRA targeting the unconditional branch.
Developed to explore guidance-prior modification and its influence on generated images.
Designed primarily for img2img workflows, but compatible with txt2img as well.
Recommended starting strength: 0.5–0.7
Observed sweet spot: ~0.8
Examples
1. Photorealistic Action Portrait
Human, animal, and motion-detail preservation across increasing GEO strengths.
2. Sci-Fi Environment
Comparison of material rendering, lighting behavior, and structural consistency.
3. Close-Up Portrait
Evaluation of skin texture, hair separation, and facial identity stability.
4. Typography
BBox-controlled typography comparison focusing on glyph integrity, spacing, and embossed detail.
5. Anime Character
Anime-style comparison evaluating linework, cel-shading stability, and background signage.
Notes
Intended for use on the Ideogram 4 unconditional branch.
Experimental research project.
Results may vary depending on workflow, guidance settings, denoise strength, and additional LoRAs.
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