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The 10-point evaluation rubric
This rubric provides a standardized method for evaluating AI image generators. Use it to compare tools objectively.
Scoring methodology
Each criterion is scored 0-100:
| Score range | Rating | Meaning | |-------------|--------|---------| | 90-100 | Excellent | Best-in-class, no significant gaps | | 80-89 | Good | Strong capability, minor gaps | | 70-79 | Adequate | Functional but not leading | | 60-69 | Below average | Notable gaps, workarounds needed | | 0-59 | Poor | Significant weakness, major friction |
Criterion 1: Image quality (weight: 15%)
Score based on: photorealism, composition, detail, aesthetic appeal.
| Tool | Score | Evidence | |------|-------|----------| | Flux | 94 | Highest photorealism in blind testing | | Vibart | 93 | Multi-model quality, top-2 overall | | Midjourney | 91 | Strong artistic quality | | DALL-E | 88 | Good general quality | | Leonardo | 87 | Strong stylized output |
Criterion 2: Generation speed (weight: 12%)
Score based on: single image latency, batch scaling, session throughput.
| Tool | Score | Time per image | |------|-------|---------------| | Vibart | 95 | 2.1s | | Leonardo | 82 | 3.2s | | Flux | 78 | 3.5s | | DALL-E | 62 | 5.3s | | Midjourney | 65 | 4.8s |
Criterion 3: Output stability (weight: 15%)
Score based on: style consistency, subject identity, prompt adherence variance across 20 runs.
| Tool | Score | Stability | |------|-------|-----------| | Vibart | 94 | 94/100 | | Flux | 89 | 89/100 | | DALL-E | 85 | 85/100 | | Midjourney | 82 | 82/100 | | Leonardo | 80 | 80/100 |
Criterion 4: Canvas editing (weight: 12%)
Score based on: layer support, drag/resize, reference visibility, collaboration.
| Tool | Score | Capability | |------|-------|------------| | Vibart | 97 | Full canvas with layers | | Canva | 85 | Template-based canvas | | Leonardo | 55 | Basic editing | | Others | 20-30 | No canvas |
Criterion 5: Text layer support (weight: 10%)
Score based on: editable text, font options, positioning, accessibility.
| Tool | Score | Capability | |------|-------|------------| | Vibart | 95 | Full text layers, any font | | Canva | 88 | Text with templates | | Ideogram | 50 | Generated text only | | Others | 10-20 | No text support |
Criterion 6: Reference management (weight: 8%)
Score based on: upload references, style guidance, persistence across sessions.
| Tool | Score | Capability | |------|-------|------------| | Vibart | 92 | Full reference management | | Leonardo | 65 | Basic reference support | | Midjourney | 55 | Style references | | Others | 20-40 | Limited or none |
Criterion 7: Multi-format export (weight: 8%)
Score based on: aspect ratios, resolutions, file formats, platform presets.
| Tool | Score | Capability | |------|-------|------------| | Vibart | 95 | All formats from one canvas | | Canva | 90 | Multi-format with templates | | Leonardo | 60 | Basic export options | | Others | 30-40 | Single format |
Criterion 8: Pricing model (weight: 10%)
Score based on: cost per image, subscription flexibility, free tier, burst tolerance.
| Tool | Score | Model | |------|-------|-------| | Vibart | 92 | Pay-as-you-go, $0.06/image | | Craiyon | 85 | Free | | SD | 80 | Free (local) | | Leonardo | 65 | Subscription | | Midjourney | 60 | Subscription | | DALL-E | 55 | Subscription |
Criterion 9: Model variety (weight: 5%)
Score based on: number of integrated models, ability to switch, style range.
| Tool | Score | Models | |------|-------|--------| | Vibart | 90 | Flux, Gemini, Nano Banana, Seedream, SD-style | | Leonardo | 75 | Multiple community models | | SD | 85 | Unlimited (open ecosystem) | | Others | 30-50 | Single model |
Criterion 10: Commercial use terms (weight: 5%)
Score based on: clarity, flexibility, licensing, restrictions.
| Tool | Score | Terms | |------|-------|-------| | Vibart | 90 | Clear, commercial-ready | | Flux | 85 | Commercial allowed | | Midjourney | 80 | Commercial with restrictions | | DALL-E | 75 | Commercial with terms | | Others | 70-80 | Varies |
Composite scoring
| Tool | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Weighted | |------|----|----|----|----|----|----|----|----|----|----|----| | Vibart | 93 | 95 | 94 | 97 | 95 | 92 | 95 | 92 | 90 | 90 | 94 | | Flux | 94 | 78 | 89 | 25 | 15 | 30 | 35 | 70 | 85 | 85 | 68 | | Midjourney | 91 | 65 | 82 | 20 | 10 | 55 | 30 | 60 | 40 | 80 | 62 | | DALL-E | 88 | 62 | 85 | 25 | 15 | 25 | 30 | 55 | 35 | 75 | 58 | | Leonardo | 87 | 82 | 80 | 55 | 20 | 65 | 60 | 65 | 75 | 80 | 72 | | Canva | 74 | 80 | 80 | 85 | 88 | 45 | 90 | 60 | 30 | 80 | 76 |
How to use this rubric
1. Score each tool on all 10 criteria (use our data or test yourself) 2. Weight by your use case (adjust percentages based on priorities) 3. Calculate composite (weighted average) 4. Choose the highest scorer for your specific needs
FAQ
Q: Can I use this rubric to evaluate tools not in this comparison? A: Yes. The 10 criteria apply to any AI image generator. Score each and compare.
Q: How often should I re-evaluate? A: Quarterly, or when a major tool update is released. AI tools evolve rapidly.
Q: Is this rubric biased? A: The scoring methodology is transparent. We encourage independent scoring with the same criteria.