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OpenMontage/skills/creative/image-gen-usage.md
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calesthio a3e735cc7a Initial release — OpenMontage: the first open-source agentic video production system
11 production pipelines, 47 tools, 124 agent skills.
Supports cloud APIs (fal.ai, OpenAI, ElevenLabs, Suno, HeyGen, Runway) and
free local providers (diffusers, Piper TTS, WAN 2.1, Hunyuan, CogVideo).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-29 08:25:17 -07:00

5.0 KiB

Image Generation Usage for OpenMontage

Sources: OpenAI DALL-E 3 documentation, FLUX/BFL API documentation, existing Layer 3 skills at .agents/skills/flux-best-practices/ and .agents/skills/bfl-api/

Quick Reference Card

FLUX RESOLUTION:  1920x1088 (16:9) | 1088x1920 (9:16) — must be multiples of 16
MAX TOTAL:        4 megapixels (width x height)
CONSISTENCY:      Use hero image as input_image for subsequent frames
STYLE PREFIX:     Set in playbook, prepend to every prompt
BATCH STRATEGY:   Hero at max quality → iterate with klein → final pass with pro

Resolution for Video Frames

All FLUX dimensions must be multiples of 16. Maximum total is 4MP.

Target FLUX Resolution Cost (FLUX.2 pro)
YouTube 16:9 1920x1088 $0.03/image
YouTube 4K 3840x2160 Requires pro/max
TikTok/Reels 9:16 1088x1920 $0.03/image
Square 1:1 1024x1024 $0.03/image
Thumbnail 1280x720 $0.03/image

Maintaining Visual Consistency

The biggest challenge: making 8-12 generated images look like they belong in the same video.

Strategy 1 — Style Prefix (Always Use)

Prepend the playbook's image_prompt_prefix to every prompt. Example from clean-professional:

"Clean, minimal illustration with soft shadows, muted color palette,
white background, professional vector art style. [YOUR SCENE DESCRIPTION]"
  1. Generate one "hero" image at maximum quality (FLUX.2 [max], $0.07)
  2. Use it as input_image for all subsequent frames:
Frame 1: T2I with detailed prompt → hero.png
Frame 2: I2I with hero.png + "Same style, camera pans right to show..."
Frame 3: I2I with hero.png + "Same style, zoomed in on..."

FLUX.2 supports up to 4 references (klein) or 8 references (pro/max/flex). Reference by number: "The character from image 1 in the environment from image 2."

Strategy 3 — Seed Locking

Use the same seed parameter across generations with similar prompts. Produces similar compositions but is fragile to prompt changes — use as supplement, not primary strategy.

Prompt Template

[STYLE PREFIX from playbook].
[SCENE DESCRIPTION: subject, action, environment].
[LIGHTING: golden hour / overcast / studio softbox / dramatic side-light].
[COMPOSITION: wide shot / medium shot / close-up / overhead / isometric].
[CAMERA: Shot on [camera] with [lens] at [aperture]] (for photorealistic only).
16:9 aspect ratio.

Style-Specific Prompt Patterns

Style Prompt Pattern
Flat illustration "Flat vector illustration, bold colors, clean edges, no gradients, white background"
Isometric "Isometric 3D illustration, 30-degree angle, clean geometric shapes, soft shadows"
Photorealistic "Photorealistic, shot on Canon EOS R5 with 85mm f/1.4, shallow depth of field"
Diagram-style "Technical diagram, labeled components, clean lines, minimal color, white background"
Watercolor "Soft watercolor illustration, muted tones, visible brush strokes, paper texture"

Batch Generation Strategy

Phase Model Cost/Image Purpose
1. Style guide FLUX.2 [max] $0.07 One hero image, maximum quality
2. Storyboard iteration FLUX.2 [klein] 9B $0.015 Rapid variations during planning
3. Final frames FLUX.2 [pro] $0.03 Re-generate finals with hero as reference

Rate limit: 24 concurrent requests max. Pipeline accordingly.

Budget for 8-image explainer: $0.07 (hero) + $0.12 (8x klein iterations) + $0.24 (8x pro finals) = ~$0.43

Common Pitfalls

  1. Text in images — AI image generators are unreliable with text. Never include text in prompts; add text as overlays in the compose stage
  2. Hands and fingers — DALL-E 3 and FLUX still struggle. Avoid prompts requiring detailed hand poses
  3. Inconsistent characters — Without reference images, the same character will look different each time. Always use the hero reference strategy
  4. Over-prompting — Long, complex prompts produce unpredictable results. Keep to 2-3 sentences
  5. Ignoring the playbook — Every image must match the style playbook. The style prefix is not optional

Applying to OpenMontage

When using the image_selector tool in the asset stage:

  1. Always prepend the playbook's style prefix to every prompt
  2. Generate a hero image first at highest quality, use as reference for all others
  3. Use 1920x1088 for 16:9 video frames (FLUX multiple-of-16 requirement)
  4. Never request text in images — add text overlays in the compose stage
  5. Budget check — estimate total image cost before generating; switch to local diffusers if over budget
  6. Iterate with klein during planning, finalize with pro
  7. Keep prompts to 2-3 sentences — style prefix + scene description + composition
  8. Match the scene plan — each image maps to a specific scene in the script