This skill generates multiple images with consistent visual style for use in video production. It manages the batch generation process, ensures style coherence, and organizes output assets.
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Understand Requirements
I'll generate a batch of images for your video.
**Prompt Source**:
[ ] Prompt file (already have prompts)
[ ] Storyboard (generate from storyboard)
[ ] Description (I'll create prompts)
**Generation Platform**:
[ ] Midjourney
[ ] DALL-E 3
[ ] Stable Diffusion
[ ] Multiple platforms
[ ] Your choice (I'll recommend)
**Batch Size**: [Number of images]
**Style Requirements**:
- Visual style: [Photorealistic/Illustrated/3D/etc.]
- Color palette: [Specific colors or mood]
- Consistency level: [Strict/Moderate/Varied]
**Timeline**: [Urgent/Standard/Flexible]
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Load or Create Prompts
## Prompt Preparation
**Total Images**: [N]
**Style Template**: [Base style to apply to all]
### Prompt List
**Image 001**: [Name/Description]
[Full prompt]
**Negative**: [Negative prompt]
**Purpose**: [Where used in video]
**Image 002**: [Name/Description]
[Full prompt]
**Negative**: [Negative prompt]
**Purpose**: [Where used in video]
[Continue for all images...]
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Style Consistency Check
## Consistency Validation
**Common Style Elements** (present in all prompts):
- ✅ Color palette: [Specified in all]
- ✅ Lighting style: [Consistent]
- ✅ Quality keywords: [Same across all]
- ✅ Technical specs: [Matching]
- ✅ Artistic style: [Consistent]
**Variable Elements** (changes per image):
- Subject matter
- Specific composition
- Scene details
**Potential Issues**:
- [ ] No style conflicts detected
- [ ] Minor variations noted: [List]
- [ ] Significant inconsistencies: [List and recommend fixes]
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Platform Selection & Optimization
## Platform Recommendation
**Recommended Platform**: [Platform name]
**Reasoning**:
- [Why this platform is best for these images]
- [Cost consideration]
- [Quality expected]
- [Generation speed]
**Alternative Options**:
- **Option 2**: [Platform] - [Pros/Cons]
- **Option 3**: [Platform] - [Pros/Cons]
**Platform-Specific Optimizations Applied**:
- [Optimization 1]
- [Optimization 2]
- [Optimization 3]
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Generation Plan
## Batch Generation Plan
**Strategy**:
[ ] Sequential (one at a time, review each)
[ ] Parallel (batch submit, review all together)
[ ] Hybrid (key images first, then batch)
**Grouping**:
**Group 1: High Priority** (Generate first)
- Image 001: [Description] - [Reason for priority]
- Image 003: [Description] - [Reason for priority]
**Group 2: Standard**
- Image 002: [Description]
- Image 004: [Description]
- Image 005: [Description]
**Group 3: Optional/Backup**
- Image 006: [Description]
- Image 007: [Description]
**Estimated Timeline**:
- Group 1: [X minutes]
- Group 2: [X minutes]
- Group 3: [X minutes]
- Total: [X minutes to X hours]
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Generation Execution
## Generation Log
### Image 001: [Name]
**Status**: ⏳ Generating... / ✅ Complete / ❌ Failed / 🔄 Regenerating
**Prompt Used**: `[Prompt]`
**Platform**: [Platform name]
**Attempts**: [N]
**Generation Time**: [X seconds/minutes]
**File**: `./output/assets/images/generated/image_001.png`
**Quality Check**:
- [ ] Matches prompt description
- [ ] Style consistent with batch
- [ ] Technical quality sufficient
- [ ] Resolution correct
- [ ] Usable for video
**Issues**: [None / List any problems]
**Action**: [Approved / Regenerate / Adjust prompt]
---
### Image 002: [Name]
[Same structure as Image 001]
---
[Continue for all images...]
---
## Batch Summary
**Generated**: [X] / [Total]
**Success Rate**: [X]%
**Failed**: [N] - [Reasons]
**Regenerations Needed**: [N]
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Quality Control Process
## Quality Control Checklist
### Per-Image QC
For each image:
- [ ] Subject matter correct
- [ ] Composition as specified
- [ ] Style matches batch
- [ ] Colors align with palette
- [ ] Technical quality high
- [ ] No artifacts or errors
- [ ] Resolution sufficient (min [X]p)
- [ ] Aspect ratio correct
- [ ] Usable for intended purpose
### Batch-Level QC
- [ ] Visual consistency across all images
- [ ] Color palette coherent
- [ ] Style uniformity maintained
- [ ] Quality level consistent
- [ ] No outliers or mismatches
### Issues Found
**Image [N]**: [Issue description]
- **Severity**: [Low/Medium/High]
- **Action**: [Approve anyway / Minor edit / Full regenerate]
- **Note**: [Any relevant notes]
**Image [N]**: [Issue description]
[Same structure]
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File Organization
## File Management
**Directory Structure**:
/output/assets/images/generated/[project-name]-[date]/
├── image_001_[description].png
├── image_002_[description].png
├── image_003_[description].png
├── ...
├── batch_metadata.json
├── prompts_used.txt
└── generation_log.md
**Naming Convention**:
- Format: `image_[###]_[short-description].png`
- Example: `image_001_office-workspace.png`
**Metadata File** (batch_metadata.json):
```json
{
"batch_id": "[unique-id]",
"project": "[project-name]",
"date": "[date]",
"total_images": [N],
"platform": "[platform]",
"style": "[style-description]",
"images": [
{
"id": "001",
"filename": "image_001_[description].png",
"prompt": "[full-prompt]",
"negative_prompt": "[negative-prompt]",
"generation_time": "[timestamp]",
"attempts": [N],
"purpose": "[video-scene]",
"status": "approved"
},
// ... more images
]
}
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Regeneration Management
## Regeneration Queue
**Images Requiring Regeneration**:
### Image [N]: [Name]
**Reason**: [Why regenerating]
**Original Prompt**: `[prompt]`
**Adjusted Prompt**: `[new-prompt]`
**Changes Made**: [Specific adjustments]
**Attempt**: [N]
**Status**: [Pending / In Progress / Complete]
### Image [N]: [Name]
[Same structure]
---
**Regeneration Strategy**:
- **Variation level**: [Same with tweaks / Significant changes]
- **Expected attempts**: [N]
- **Time estimate**: [X minutes]
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Cost & Resource Tracking
## Resource Usage
**Generation Costs** (if applicable):
- Platform: [Platform name]
- Images generated: [N]
- Images kept: [N]
- Total attempts: [N]
- Cost per image: [Amount]
- Total cost: [Amount]
- Credits used: [N]
- Credits remaining: [N]
**Time Investment**:
- Prompt creation: [X minutes]
- Generation waiting: [X minutes]
- QC and review: [X minutes]
- Regenerations: [X minutes]
- Total time: [X hours]
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Batch Delivery Report
## Batch Generation Complete! ✅
**Project**: [Project name]
**Date**: [Date]
**Total Images**: [N]
### Deliverables
**Generated Images** ([N] files):
- Location: `./output/assets/images/generated/[folder]/`
- Format: PNG
- Resolution: [X x Y]
- Total size: [X] MB
**Documentation**:
- `batch_metadata.json` - Full generation data
- `prompts_used.txt` - All prompts (copy-ready)
- `generation_log.md` - Detailed generation log
### Quality Metrics
- Success rate: [X]% first attempt
- Images approved: [N]
- Images regenerated: [N]
- Average attempts: [X]
- Style consistency: [High/Medium/Low]
### Image Breakdown by Purpose
| Purpose | Count | Images |
|---------|-------|--------|
| Backgrounds | [N] | [List IDs] |
| B-roll | [N] | [List IDs] |
| Products | [N] | [List IDs] |
| Graphics | [N] | [List IDs] |
| Other | [N] | [List IDs] |
### Style Consistency Report
**Color Palette Adherence**: [X]%
**Lighting Consistency**: [X]%
**Quality Level**: [Consistent / Minor variations / Some outliers]
**Overall Visual Coherence**: [Score or description]
### Issues & Notes
**Challenges Encountered**:
- [Issue 1]: [How resolved]
- [Issue 2]: [How resolved]
**Recommendations**:
- [Recommendation for future batches]
- [Platform insights]
- [Prompt refinements]
### Next Steps
1. Review all images: `Show me all generated images`
2. Regenerate specific image: `Regenerate image [N] with [changes]`
3. Generate variations: `Create 3 variations of image [N]`
4. Use in video: `Create video using these images`
5. Generate more: `Generate [N] more images in same style`
**Ready for video production!** 🎬
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Create Usage Guide
## Image Usage Guide
### For Video Editing
**Importing Images**:
```bash
# Import all images
ls ./output/assets/images/generated/[folder]/*.png
Recommended Usage:
Image 001 (office-workspace.png):
- Use for: B-roll during intro section
- Duration: 3-5 seconds
- Timing: 0:15-0:20 in video
- Transition: Fade in from previous shot
Image 002 (product-closeup.png):
- Use for: Feature demonstration
- Duration: 4-6 seconds
- Timing: 0:45-0:50 in video
- Transition: Cut from talking head
[Continue for all images...]
Color Grading Notes
To Match Video:
- Temperature: [Adjustment]
- Tint: [Adjustment]
- Saturation: [Adjustment]
- Contrast: [Adjustment]
LUT Recommendation: [If applicable]
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Save All Files
- Images:
./output/assets/images/generated/[project]/
- Log:
./output/assets/images/generated/[project]/generation_log.md
- Metadata:
./output/assets/images/generated/[project]/batch_metadata.json
- Prompts:
./output/assets/images/generated/[project]/prompts_used.txt
