Generate e-commerce product images (hero, secondary, A+ detail) via Infinimo AI Design—marketplace/platform selection, model/aspect/resolution, reference uploads, submit and poll. Use for Amazon/Shopify listing heroes, lifestyle shots, and A+ modules.
Design & media
infinimo-ai-design-virtual-model
Try itGenerate virtual model showcase images via Infinimo AI Design from a source photo, optional background, and prompts. Use for fashion lookbooks, model swaps, and on-model product presentation without a live shoot.
What it does
Generate virtual model showcase images via Infinimo AI Design from a source photo, optional background, and prompts. Use for fashion lookbooks, model swaps, and on-model product presentation without a live shoot.
The skill document
Virtual Model
About Infinimo AI Design
Infinimo AI Design is an AI design platform for e-commerce visuals. This skill calls the Virtual model tool (same as /virtual-model in the design studio).
Web page: https://design.infinimo.ai/?source=q-i-d-clawhub
Authentication & base URL
- Base URL:
https://www.clawec.com/api - Token: https://design.infinimo.ai/?source=q-i-d-clawhub · https://design.infinimo.ai/api-key?source=q-i-d-clawhub
- Headers:
Token:
Use INFINIMO_TOKEN or INFINIMO_API_KEY. Common params: platform=1, terminal=4, language=en.
End-to-end flow
1. POST /upload/image → upload source (and optional background)
2. GET /aigc/image/virtual_model_create → submit generation job
3. GET /aigc/log/list?type=101 → poll results (log type 101)
Generation is async; poll logs until output images appear in the newest record.
1. Upload images
POST /upload/image
| Image | Required | Description |
|---|---|---|
| Source / base | yes | Real person or mannequin photo |
| Background | no | Optional scene reference |
bash scripts/upload.sh /path/to/source.jpg
bash scripts/upload.sh /path/to/background.jpg
2. Submit virtual model generation
GET /aigc/image/virtual_model_create
| Parameter | Required | Description |
|---|---|---|
| base_image_url | yes | Source image URL |
| base_image_type | yes | 1 = real person, 2 = mannequin |
| bg_image_url | no | Background reference URL |
| prompt | no | Model look / styling prompt |
| face_prompt | no | Face-specific prompt |
| num | no | Output count, e.g. 1–4 |
| aspect_radio | no | Aspect ratio (H:W), e.g. 1:1, 9:16, 比例不变 (keep original) |
Allowed aspect values include: 比例不变, 2:1, 16:9, 4:3, 1:1, 3:4, 9:16, 1:2.
bash scripts/create.sh \
--base-url "https://cdn.../source.jpg" \
--base-type 1 \
--bg-url "https://cdn.../bg.jpg" \
--prompt "Professional fashion model, studio lighting" \
--face-prompt "Natural smile, soft makeup" \
--num 1 \
--aspect "9:16"
3. Poll results
GET /aigc/log/list
| Parameter | Value | Description |
|---|---|---|
| type | 101 | Virtual model log type |
| agent_id | 0 | Default |
| group_id | 0 | Default |
bash scripts/logs.sh
Response data.logs[]
| Field | Description |
|---|---|
| logId | Record id |
| createTime | Timestamp |
| param | Submit parameters |
| data.type | image when complete |
| data.data | Output image URL array |
Poll every 3–5s until the latest log has data.type === "image" and non-empty data.data.
Delete: GET /aigc/log/delete?log_id=
See references/response-schema.md.
Workflow
- Confirm source type (real person vs mannequin) and prompts
- upload source and optional background
- create with URLs and options
- Poll logs (type 101) until images return
- Return output URLs and parameters
Example
Input: Generate 9:16 showcase from mannequin photo with luxury boutique background
upload.sh mannequin.jpg→ base URLupload.sh boutique.jpg→ bg URLcreate.sh --base-url ... --base-type 2 --bg-url ... --aspect 9:16 --prompt "Luxury boutique fashion shoot"logs.sh→ image URLs
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