Yollomi AI API Skill

Generates images and videos via the Yollomi API. All models use a single unified endpoint with different modelId parameters.

Setup

1. API Key: Set YOLLOMI_API_KEY (environment variable).

Notes:

• Video generation is temporarily disabled in this skill build.

Unified Endpoint

POST /api/v1/generate

Headers: Authorization: Bearer ${YOLLOMI_API_KEY} or X-API-Key: ${YOLLOMI_API_KEY}
Content-Type: application/json

Body:

• type (required): "image" or "video"
• modelId (required): Model identifier
• Additional params depend on model (prompt, imageUrl, etc.)

Response (image): { images: string[], remainingCredits: number }
Response (video): { video: string, remainingCredits: number }

List Models

GET /api/v1/models

Returns all available image and video modelIds.

Common Examples

Generate image (Flux):

curl -X POST "${YOLLOMI_BASE_URL:-https://yollomi.com}/api/v1/generate" \
  -H "Authorization: Bearer $YOLLOMI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"image","modelId":"flux","prompt":"A cat in a hat","aspectRatio":"1:1"}'

Remove background:

curl -X POST "${YOLLOMI_BASE_URL:-https://yollomi.com}/api/v1/generate" \
  -H "Authorization: Bearer $YOLLOMI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"image","modelId":"remove-bg","imageUrl":"https://example.com/photo.jpg"}'

Generate video:

curl -X POST "${YOLLOMI_BASE_URL:-https://yollomi.com}/api/v1/generate" \
  -H "Authorization: Bearer $YOLLOMI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"type":"video","modelId":"kling-2-1","prompt":"A cat walking in the rain"}'

Aspect Ratio (aspectRatio)

Supported aspect ratios for text-to-image models:

ratio	description
1:1	Square (default)
16:9	Landscape
9:16	Portrait

Image ModelIds

modelId	Credits	Required	aspectRatio
flux	4/img	prompt	1:1, 16:9, 9:16
flux-schnell	2/img	prompt	same as above
flux-2-pro	15/img	prompt	same as above
remove-bg	0	imageUrl	-
nano-banana	4	prompt	1:1, 16:9, 9:16
nano-banana-pro	15	prompt	same as above
flux-kontext-pro	4	prompt	same as above
z-image-turbo	1	prompt	width, height
imagen-4-ultra	6	prompt	same as above
image-4-fast	3	prompt	same as above
ideogram-v3-turbo	3	prompt	same as above
stable-diffusion-3-5-large	7/img	prompt	same as above
seedream-4-5	4	prompt	same as above
object-remover	3	image, mask	-
face-swap	3	swapImage, inputImage	-
image-upscaler	1	imageUrl, scale	-
photo-restoration	4	imageUrl	-
qwen-image-edit	3	image, prompt	-
qwen-image-edit-plus	3	image, prompt	-
virtual-try-on	3	clothImage, personImage	-
ai-background-generator	5	imageUrl	prompt

Video ModelIds

modelId	Credits
openai-sora-2	~50+
google-veo-3	10
google-veo-3-fast	9
google-veo-3-1	10
google-veo-3-2	10
google-veo-3-1-fast	9
kling-2-1	9
kling-v2-6-motion-control	7/sec
minimax-hailuo-2-3	9
minimax-hailuo-2-3-fast	9
bytedance-seedance-1-pro-fast	8
runway-gen4-turbo	varies
pixverse-5	9
wan-2-5-i2v	9
wan-2-5-t2v	9
wan-2-6-i2v	29
wan-2-6-t2v	29

Workflow

1. Generate image → POST /api/v1/generate with type: "image", modelId, and model params
2. Generate video → POST /api/v1/generate with type: "video", modelId, prompt, optional inputs
3. List models → GET /api/v1/models
4. 401/402 → Check API key and credits

Reference

Full model list and params: models-reference.md or GET /api/v1/models