Character Turnaround Sheets: AI Generation Complete Guide 2025

Character turnaround sheets are the backbone of animation and game development pipelines. AI can now generate these multi-view references with remarkable consistency—if you know the right techniques.

Quick Answer: Generate character turnaround sheets using Flux Kontext with the turnaround LoRA, specialized platforms like Scenario.com, or ControlNet pose-guided workflows. The key is maintaining character consistency across front, side, 3/4, and back views.

What Makes a Good Turnaround Sheet?

Professional turnaround sheets include:

• Front view: Full face and body proportions
• 3/4 view: Depth and volume information
• Side view (profile): Silhouette and proportions
• Back view: Costume details and hair from behind
• Optional: Face close-up with expressions

All views must maintain identical proportions, costume details, and visual style.

Consistent character across all standard reference views

Method 1: Flux Kontext Turnaround LoRA

The Flux Kontext Character Turnaround Sheet LoRA specializes in generating consistent multi-view character sheets:

Setup:

1. Install Flux Kontext in ComfyUI
2. Download the turnaround LoRA
3. Load your character image as reference

Workflow:

Load Image → Flux Kontext → Turnaround LoRA → Generate

Prompt Template:

character turnaround sheet, front view, side view, back view,
3/4 view, white background, consistent design, same character,
full body, [your character description]

The LoRA reconstructs your character from five viewpoints while keeping proportions and details consistent.

Method 2: ControlNet Pose-Guided Generation

Use ControlNet with pose references to generate specific angles:

Step 1: Prepare Pose References Create or find stick figure/OpenPose references for each angle:

• Front pose reference
• Side pose reference
• Back pose reference

Step 2: Generate Each View Use the same seed, prompt, and settings for each view, changing only the ControlNet pose input.

Step 3: Composite Arrange individual views into a single sheet.

Method 3: Scenario.com Character Turnarounds

Scenario.com offers purpose-built turnaround generation:

Process:

1. Upload a reference image of your character
2. Select "Generate Turnaround" option
3. Enable ControlNet Pose Mode for precise consistency
4. Generate multiple views

Advantages:

• Custom character model training for maximum consistency
• Built-in turnaround sheet formatting
• Professional output ready for production

Method 4: Prompt-Only Generation

Some models respond well to "character sheet" keywords:

Prompt:

character sheet, multiple views, front view, side view, back view,
[character description], full body, white background, consistent style,
reference sheet, turnaround, same character all views

Best Models:

• SDXL trained on character sheets
• Anime-focused models (Pony, Illustrious)
• Custom trained character models

This method is less reliable but requires no special setup.

Game-ready turnaround sheets require precise consistency

Maintaining Character Consistency

The core challenge is keeping the character identical across views. Strategies:

Use Reference Images: Always start from a single reference image. Use IP-Adapter or image conditioning to maintain identity.

Train Custom Models: For recurring characters, train a LoRA on 20-50 reference images. This ensures the AI understands your specific character.

Lock Seeds: Use the same seed across generations. This provides a consistent starting point for the AI.

Consistent Prompts: Keep character description identical. Only change angle/pose keywords.

Professional Formatting

For production-ready sheets:

Layout:

• 3:2 or 16:9 aspect ratio for the full sheet
• White or neutral background
• Even spacing between views
• Labels for each view (optional)

Resolution:

• Minimum 2048px width for professional use
• 4K for detailed character work
• Consistent resolution across all views

File Format:

• PNG with transparency if needed
• PSD with layers for editing
• Organized naming convention

Workflow for Different Use Cases

Animation: Focus on extreme consistency. Animators need exact proportions.

character model sheet, animation reference, precise proportions,
consistent line weight, clean lineart, front side back views

Game Development: Include T-pose for rigging if needed.

game character reference, T-pose included, full body,
front side back views, clean design, game asset ready

Concept Art: More stylistic freedom allowed.

character concept sheet, stylized, dynamic poses acceptable,
showing personality, costume details, multiple angles

Common Issues and Solutions

Issue: Face changes between views Solution: Use stronger character conditioning, train a character LoRA, or use Flux Kontext for identity preservation

Issue: Costume details inconsistent Solution: Be extremely specific about costume in prompts, use reference image conditioning

Issue: Proportions vary Solution: Use ControlNet pose guidance, lock seed, increase CFG scale

Issue: Style differs across views Solution: Use the same model and settings, avoid changing any parameters between views

Advanced: Expression Sheets

Beyond standard turnarounds, create expression sheets:

Prompt:

character expression sheet, same character, multiple expressions,
happy, sad, angry, surprised, neutral, consistent face,
head shots, white background

Combine with turnaround sheets for complete character references.

Frequently Asked Questions

Can I generate turnarounds for existing characters?

Yes, use reference image conditioning with IP-Adapter or Flux Kontext to maintain the existing design.

What resolution should turnaround sheets be?

Minimum 2048px width. 4K (4096px) for professional animation/game work.

How many views should a turnaround include?

Standard is 4-5: front, 3/4, side, back, and optionally a face close-up.

Can I generate turnarounds for non-humanoid characters?

Yes, though results vary. Creatures and robots work well. Abstract shapes are more challenging.

Should I use the same prompt for all views?

Yes, keep character description identical. Only add angle keywords like "front view" or "side view."

Conclusion

AI-generated character turnaround sheets are now production-viable with the right techniques. Flux Kontext with specialized LoRAs offers the best consistency, while ControlNet workflows provide maximum control.

The key is treating consistency as the primary goal. Use reference conditioning, lock your seeds, maintain identical settings, and choose tools designed for multi-view generation.

For professional work, consider training custom character LoRAs—the upfront investment pays off in perfectly consistent outputs every time.