Choosing image providers: AI generation (FLUX, Grok, GPT Image, Recraft, local SD) vs stock, cost/speed/best-for.
Pro scans all 2 files and shows the line behind each finding
Scanned 9/29/2026
npx -y skills add aicodedecode/awesome-muse-skills --skill image-provider-guide --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Image Provider Guide?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/aicodedecode-image-provider-guide)More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.
---
name: image-provider-guide
description: Choosing image providers: AI generation (FLUX, Grok, GPT Image, Recraft, local SD) vs stock, cost/speed/best-for.
---
# Image Provider Usage for OpenMontage
> How to choose between image generation and stock providers, and how to use each effectively.
> Supplements the existing `image-gen-usage.md` (which covers FLUX prompting in depth).
## Provider Landscape
### Generation Providers (AI creates the image)
| Tool | Provider | Cost | Speed | Best For |
|------|----------|------|-------|----------|
| `flux_image` | FLUX 2 Pro via fal.ai | ~$0.03-0.05 | ~5-10s | Photorealism, general purpose, workhorse |
| `grok_image` | Grok Imagine Image (xAI) | $0.02/output + $0.002/input edit image | ~5-15s | Image edits, style transfer, multi-image compositing |
| `openai_image` | GPT Image 2 (OpenAI) | ~$0.01-0.21 | ~5-15s | Complex instructions, text in images, multi-element |
| `recraft_image` | Recraft V4 via fal.ai | ~$0.04-0.25 | ~5-10s | Logos, SVG vectors, brand assets, text rendering (see caveat below) |
| `local_diffusion` | Stable Diffusion (local) | Free | ~30s+ | Offline, privacy, free |
| `image_gen` | Multi (legacy, deprecated) | Varies | Varies | **Deprecated** — use `image_selector` or per-provider tools |
### Stock Providers (search and download existing images)
| Tool | Provider | Cost | Speed | Best For |
|------|----------|------|-------|----------|
| `pexels_image` | Pexels | Free | ~2-5s | High-quality photography, color filtering |
| `pixabay_image` | Pixabay | Free | ~2-5s | Large library, category filtering, illustrations |
### Selector
| Tool | Purpose |
|------|---------|
| `image_selector` | Routes to the best available provider based on preference and availability |
## Provider Selection by Scene Type
| Scene Type | Primary Provider | Why | Fallback |
|-----------|-----------------|-----|----------|
| **Real-world photo** (city, nature, people) | `pexels_image` | Real photos > AI for realism | `pixabay_image` → `flux_image` |
| **Technical diagram** | `diagram_gen` | Structured, editable | `flux_image` with diagram prompt |
| **Abstract/conceptual illustration** | `flux_image` | AI excels at custom concepts | `openai_image` |
| **Style transfer / repaint of an existing image** | `grok_image` | Native edit flow, strong promptable transforms | `openai_image` |
| **Multi-image merge / composite** | `grok_image` | Can combine multiple source images into one scene | `openai_image` |
| **Logo or brand asset** | `recraft_image` | SVG support, text accuracy | `openai_image` |
| **Image with text/labels** | `openai_image` | Best text rendering (GPT Image 2) | `recraft_image` |
| **Complex multi-element composition** | `openai_image` | Best instruction following | `flux_image` |
| **Hero image (key visual)** | `flux_image` | Highest visual quality | `openai_image` |
| **Thumbnail** | `flux_image` or `recraft_image` | Needs to be eye-catching | — |
| **Budget/free project** | `pexels_image` or `pixabay_image` | Free, immediate | `local_diffusion` |
| **Offline/air-gapped** | `local_diffusion` | No network needed | — |
## Provider-Specific Caveats
### Recraft V4 via fal.ai
- **`style` parameter causes 422 errors** (as of 2026-04). The `style` enum values (`digital_illustration`, `realistic_image`, etc.) are rejected by fal.ai's Recraft V4 endpoint. **Workaround:** encode style direction in the prompt text instead (e.g. "digital illustration of a tooth cross-section" rather than `style="digital_illustration"`). The `image_size` and `colors` parameters work fine.
- **Text rendering is unreliable for exact business names.** Recraft (like all AI image models) may hallucinate wrong text. For any scene where text must be verbatim (CTA screens, business names, phone numbers), use Remotion `text_card` instead of generating an image with text.
## Cost-Quality Tradeoff
```
PRODUCTION PATH: Premium
├── Hero images: flux_image ($0.05/img)
├── Supporting visuals: flux_image ($0.03/img)
├── Text overlays: openai_image ($0.05/img medium)
├── B-roll stills: pexels_image ($0.00)
└── Total for 10 images: ~$0.35
PRODUCTION PATH: Standard
├── All generated: flux_image ($0.03/img)
├── B-roll stills: pexels_image ($0.00)
└── Total for 10 images: ~$0.25
PRODUCTION PATH: Budget
├── All stock: pexels_image + pixabay_image ($0.00)
├── Diagrams: diagram_gen ($0.00)
└── Total: $0.00
PRODUCTION PATH: Offline
├── All generated: local_diffusion ($0.00)
├── Diagrams: diagram_gen ($0.00)
└── Total: $0.00 (but slower, lower quality)
```
Use `generation_mode="edit"` when the task starts from an existing image and should route only to edit-capable providers.
## Using the Image Selector
For most cases, use `image_selector` and let it route:
```python
# The selector finds the best available provider
result = image_selector.execute({
"prompt": "aerial view of a modern data center",
"preferred_provider": "auto", # or "flux", "pexels", etc.
"output_path": "assets/images/scene-3.png"
})
```
Override with `preferred_provider` when you know which provider is best for the scene type.
Use `allowed_providers` to restrict to free or local options:
```python
# Budget mode: only free providers
result = image_selector.execute({
"prompt": "server room interior",
"allowed_providers": ["pexels", "pixabay", "local_diffusion"],
"output_path": "assets/images/scene-3.jpg"
})
```
## Consistency Across Mixed Sources
When mixing stock and generated images in the same video, visual consistency is the challenge.
### Strategy: Color Grade Everything
Apply the playbook's color grading LUT to both stock and generated images in the compose stage.
This unifies the look. The `color_grade` enhancement tool handles this.
### Strategy: Match The Visual Identity, Not A Copied Prefix
When generating images, adapt the playbook's mood, palette, texture, and medium
into a short scene-specific anchor. When searching stock, filter for the same
emotional and visual qualities: color, lighting, environment, composition, era,
and texture. Use the playbook as a consistency source, not a script to paste.
### Strategy: Avoid Mixing Styles Within a Scene
Don't use a stock photo for one element and an AI illustration for another in the same scene.
Keep each scene internally consistent — all stock or all generated.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!