krea（krea 视频）

Krea AI — Image, Video & Enhancement Generation

Generate images, videos, upscale/enhance images, and train LoRA styles using the Krea.ai API. Supports 20+ image models (Flux, Imagen, GPT Image, Ideogram, Seedream...), 7 video models (Kling, Veo, Hailuo, Wan), and 3 upscalers (Topaz up to 22K).

IMPORTANT: Do NOT invent model names. Run list_models.py to get the live list of models, CU costs, and accepted parameters from the Krea API's OpenAPI spec. All scripts resolve models dynamically from the spec — there are no hardcoded endpoint tables. Scripts also accept full endpoint paths from list_models.py --json output (e.g. --model /generate/image/google/imagen-4-ultra).

Usage

Scripts are in the scripts/ directory alongside this file. Run them with uv run from the user's working directory so output files are saved where the user expects.

Generate image:

uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "your description" --filename "output.png" [--model nano-banana-2] [--width 1024] [--height 1024] [--api-key KEY]

Generate video:

uv run ~/.codex/skills/krea/scripts/generate_video.py --prompt "your description" --filename "output.mp4" [--model veo-3.1-fast] [--duration 5] [--aspect-ratio 16:9] [--api-key KEY]

Enhance/upscale image:

uv run ~/.codex/skills/krea/scripts/enhance_image.py --image-url "https://..." --filename "upscaled.png" --width 4096 --height 4096 [--enhancer topaz-standard-enhance] [--api-key KEY]

Train a LoRA style:

uv run ~/.codex/skills/krea/scripts/train_style.py --name "my-style" --urls-file images.txt [--model flux_dev] [--type Style] [--trigger-word "mystyle"] [--api-key KEY]

List available models:

uv run ~/.codex/skills/krea/scripts/list_models.py [--type image|video|enhance]

Run a multi-step pipeline:

uv run ~/.codex/skills/krea/scripts/pipeline.py --pipeline pipeline.json [--api-key KEY]

Check job status:

uv run ~/.codex/skills/krea/scripts/get_job.py --job-id "uuid" [--api-key KEY]

Important: Always run from the user's current working directory so files are saved where the user is working.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning CU on expensive models until the prompt is right.

• Draft (cheap/fast): use --model z-image or --model flux-1-dev (3-5 CU, ~5s) for quick iteration

  uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --model flux-1-dev

• Iterate: adjust prompt, keep trying with cheap models

• Final (high quality): switch to --model gpt-image or --model nano-banana-pro

  uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --model nano-banana-pro

Available Models

Models, CU costs, and accepted body fields are fetched live from the Krea API's OpenAPI spec (/openapi.json). Run list_models.py to see what's currently available:

uv run ~/.codex/skills/krea/scripts/list_models.py                     # all models with params
uv run ~/.codex/skills/krea/scripts/list_models.py --type image         # image models only
uv run ~/.codex/skills/krea/scripts/list_models.py --json               # machine-readable

Short aliases (e.g. flux for flux-1-dev) are maintained for convenience. The scripts resolve them automatically via the spec. If a model isn't in the alias list, pass the full OpenAPI model ID or endpoint path.

Model selection guidance

Map user requests for images:

• "fast", "quick", "cheap" → flux-1-dev or z-image
• "high quality", "best" → nano-banana-pro or gpt-image
• "text in image", "typography" → ideogram-3
• "photorealistic" → seedream-4 or nano-banana-pro
• No preference → nano-banana-2

Map user requests for video:

• "fast" → hailuo-2.3
• "cinematic", "high quality" → veo-3.1
• "with sound", "with audio" → veo-3 with --generate-audio
• No preference → veo-3.1-fast

Enhancers: topaz-standard-enhance (faithful upscaling, default), topaz-generative-enhance (creative enhancement), topaz-bloom-enhance (adding creative details).

Image Generation Parameters

Video Generation Parameters

Enhancement Parameters

LoRA Training Parameters

Training requires 3-2000 images. The script validates all URLs before submitting. Training takes 15-45 minutes. On completion, the style ID is printed to stdout and a training-manifest.json is saved if --output-dir is set.

Use the style ID with --style-id in generate_image.py:

uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "mystyle product on white background" --style-id "style_abc123" --model flux-1-dev --filename "branded.png"

API Key

Scripts check for API key in this order:

1. --api-key argument (use if user provided key in chat)
2. KREA_API_TOKEN environment variable

If neither is available, the script exits with an error message.

Preflight + Common Failures

Preflight:

• command -v uv (must exist)
• test -n "$KREA_API_TOKEN" (or pass --api-key)

Common failures:

• Error: No API key → set KREA_API_TOKEN or pass --api-key
• 402 Insufficient credits → top up compute units at https://krea.ai/settings/billing
• 402 This model requires a higher plan → model needs a paid plan upgrade at https://krea.ai/settings/billing
• 429 Too many requests → concurrent job limit reached; scripts auto-retry up to 3 times with backoff
• Job failed → check prompt for content moderation issues, try different wording

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.ext

• Timestamp: current date/time in yyyy-mm-dd-hh-mm-ss (24h format)
• Name: descriptive lowercase text with hyphens (1-5 words)
• Extension: .png for images, .mp4 for videos

Examples:

• Prompt "A cyberpunk cat" → 2026-03-31-14-23-05-cyberpunk-cat.png
• Prompt "waves on a beach" → 2026-03-31-15-30-12-beach-waves.mp4

Prompt Handling

For generation: Pass user's description as-is to --prompt. Only rework if clearly insufficient.

For image-to-image: Use --image-url with the source image and describe the desired transformation in --prompt.

For video from image: Use --start-image with the source image and describe the desired motion/action in --prompt.

Preserve user's creative intent in all cases.

Output

• Scripts download the result and save it to the current directory (or --output-dir)
• Script outputs the full path to the generated file
• Do not read the image/video back — just inform the user of the saved path
• If --batch-size > 1, files are saved as name-1.png, name-2.png, etc.

Examples

Quick draft image:

uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2026-03-31-14-23-05-japanese-garden.png"

High quality final:

uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms, golden hour lighting" --filename "2026-03-31-14-25-30-japanese-garden-final.png" --model nano-banana-pro --resolution 4K

Image-to-image edit:

uv run ~/.codex/skills/krea/scripts/generate_image.py --prompt "transform to watercolor painting style" --filename "2026-03-31-14-30-00-watercolor.png" --image-url "https://example.com/photo.jpg" --model nano-banana-pro

Generate video:

uv run ~/.codex/skills/krea/scripts/generate_video.py --prompt "A majestic eagle soaring over snow-capped mountains at sunrise" --filename "2026-03-31-15-00-00-eagle-mountains.mp4" --model veo-3 --duration 8 --generate-audio

Upscale image to 4K:

uv run ~/.codex/skills/krea/scripts/enhance_image.py --image-url "https://example.com/photo.jpg" --filename "2026-03-31-15-10-00-upscaled.png" --width 4096 --height 4096 --enhancer topaz

Train a LoRA style:

uv run ~/.codex/skills/krea/scripts/train_style.py --name "acme-brand" --model flux_dev --type Style --trigger-word "acmestyle" --urls-file brand-images.txt --output-dir output/acme-brand

List models:

uv run ~/.codex/skills/krea/scripts/list_models.py --type image

Pipelines (Multi-Step Workflows)

For multi-step workflows (generate → enhance → animate, fan_out branching, template variables, parallel execution, resume, dry-run), see PIPELINES.md.

Quick example:

uv run ~/.codex/skills/krea/scripts/pipeline.py --pipeline '{"steps":[{"action":"generate_image","prompt":"a cat astronaut","filename":"cat"},{"action":"enhance","use_previous":true,"enhancer":"topaz-standard-enhance","width":4096,"height":4096,"filename":"cat-4k"}]}'