Se il tuo personaggio cambia volto, capelli o dettagli dell’outfit a ogni reroll, il problema non è la creatività. Mancano invariants.

Questo post è un set di gpt image 2 character sheet prompts da copiare per generare turnaround, expression sheet e pose sheet. L’obiettivo è semplice: ottenere un personaggio riutilizzabile su thumbnail, storyboard e mockup senza drift. In produzione, standardizza un file unico: un gpt image 2 character sheet prompt versionato che tutti usano come baseline.

See consistent sets for reference: /showcases
Use layout + constraints patterns: /blog/gpt-image-2-prompt-patterns
Store baselines in a prompt library: /blog/gpt-image-2-prompt-workspace

Keywords this post intentionally covers (for search intent)

gpt image 2 character sheet prompts
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gpt image 2 expression sheet prompt
gpt image 2 pose sheet prompt
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TL;DR: the character sheet workflow in 90 seconds

Per far funzionare gpt image 2 character consistency prompts:

Scrivi un identity block con invariants (geometria del volto, capelli, outfit, palette).
Aggiungi una layout spec fissa (grid, margini, label).
Genera una baseline sheet prima.
Itera con una variant ladder (cambia una cosa per volta: espressione o posa).
Salva la baseline come gpt image 2 character sheet prompt riutilizzabile.

The character bible (lock identity invariants)

Prima di scrivere un gpt image 2 turnaround sheet prompt, prepara il blocco identità. Questo blocco è il cuore dei gpt image 2 model sheet prompts: lo incolli identico in ogni sheet.

Identity block (must stay constant):
- Name: [character name / short ID]
- Age range + vibe: [e.g., early 20s, energetic, friendly]
- Face geometry: [jawline, cheekbones, nose shape, eye shape]
- Hair: [style, length, color, bangs]
- Skin tone: [descriptor]
- Outfit: [top/bottom/shoes], colors, signature accessories
- Proportions: [head-to-body ratio], height vibe, body type
- Palette: [3–5 colors], avoid new colors
- Style family: [anime / semi-realistic / Pixar-like], keep consistent

Invariants:
- Keep facial identity consistent across all panels
- Keep outfit and accessories identical across all panels
- Same lighting direction and intensity

Turnaround sheet prompt (3–4 views)

Questo gpt image 2 turnaround sheet prompt è un baseline solido per multi-view:

Goal:
- Create a 4-panel character turnaround sheet (front, 3/4, side, back)

[PASTE identity block here]

Layout (do not change):
- 2x2 grid, equal panels, consistent margins
- Full-body framing in every panel, consistent scale
- Neutral background, no props
- Label each panel (front / 3-4 / side / back), readable text

Invariants (do not change):
- Same outfit, same hair, same accessories
- Same camera distance and angle
- Same lighting direction and intensity
- Keep facial identity consistent across all panels

Output spec:
- Aspect ratio: 4:5
- Quantity: 1

Expression sheet prompt (8–12 expressions)

Un gpt image 2 expression sheet prompt deve cambiare espressione, non identità:

Goal:
- Create a 12-panel expression sheet for the same character

[PASTE identity block here]

Layout (do not change):
- 3x4 grid, equal panels, consistent margins
- Head-and-shoulders framing in every panel
- Label each panel with the expression name (readable)

Invariants (do not change):
- Same outfit, same hair, same accessories
- Same camera distance and angle
- Same lighting and background
- Keep facial identity consistent across panels

Variables (change only facial expression):
- Expressions (12): neutral, happy, sad, angry, surprised, confused, smug, scared, determined, tired, laughing, thinking

Output spec:
- Aspect ratio: 4:5
- Quantity: 1

Pose sheet prompt (6–10 poses)

Usa questo gpt image 2 pose sheet prompt per pose controllate:

Goal:
- Create an 8-panel pose sheet for the same character

[PASTE identity block here]

Layout (do not change):
- 2x4 grid, equal panels
- Full-body framing in every panel
- Consistent margins and scale

Invariants (do not change):
- Same outfit, same palette, same accessories
- Same camera angle and distance
- Same lighting and background
- Keep facial identity consistent across panels

Variables (change only pose):
- Poses (8): standing neutral, walking, running, sitting, pointing, waving, jumping, arms crossed

Output spec:
- Aspect ratio: 4:5
- Quantity: 1