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Biomechanical Fitness Instructional Chart preview image
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Biomechanical Fitness Instructional Chart

A complex prompt for creating a monochrome, scientifically accurate 2x4 grid fitness chart showing specific exercises with labels and anatomical figures.

This is a GPT Image 2 prompt case for Graphic & Poster. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.

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Prompt

Copy-ready prompt

Generate a monochrome grayscale technical illustration, a biomechanically accurate fitness instruction sheet, clean 3D anatomical figures, scientific diagram aesthetics, minimalist style, no artistic exaggeration. 

2x4 grid layout (total of 8 panels), perfectly aligned cells, equal spacing, thin black border, numbered 1 to 8. 

Neutral athletic human body (gender-neutral), proportional anatomy, consistent figure across all panels. 

{argument name="training sequence" default="Dumbbell training"} sequence (key positions only): 
1. Dumbbell Curl (starting position) 
2. Dumbbell Curl (top contraction) 
3. Shoulder Press (start at shoulder height) 
4. Shoulder Press (overhead lockout) 
5. Lateral Raise (arms down) 
6. Lateral Raise (arms to shoulder height) 
7. Dumbbell Squat (standing start) 
8. Squat (bottom position). 

Top left corner: bold number + movement name (Chinese). 
Center: full-body pose (clear joint positioning). 
Bottom left corner: brief technical description (2–3 lines, correct posture cues). 
Overlay: directional arrows showing the path of motion (up/down/arc). 

Correct joint alignment, neutral spine, proper elbow and knee positioning, realistic weight distribution, no exaggerated movements. 

Highly detailed grayscale shading, soft studio lighting, subtle shadows, clean lines, medical/sports science diagram quality. 

Solid white background. 

No color, no background environment, no extra elements, no stylization, no blur.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

1
Variable
training sequence
Default
Dumbbell training

Best for

  • - Graphic & Poster visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Image to Image
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Imported from Awesome GPT Image 2 Prompts. Attribution is required. Commercial-use status is allowed; review source rights before paid usage.

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Reuse and source notes

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  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.

Where does this case come from?

This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.