ideogram/character-remix
📝 Model description pending (TODO). Every value on this page comes from the ModelFold catalog, and no technical detail has been invented.
Overview
| Field | Value |
|---|---|
| Model ID | ideogram/character-remix |
| Family slug | ideogram/character |
| Modality | Image Generation (image) |
| Credits | 18 |
| Upstream cost | 12 / per image |
| Pricing source | upstream-api — Upstream official pricing (media) |
| Endpoint | POST /v1/images/generations |
Request example
bash
export API_BASE="https://modelfold.ai/v1"
export MODELFOLD_API_KEY="mf-..." # 在控制台 API Key 页面创建
curl -X POST "$API_BASE/images/generations" \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"ideogram/character-remix","prompt":"A fisheye lens selfie photograph taken at night on an urban street. The image is circular with a black border and shows a person wearing dark sunglasses and a black jacket, holding a silver digital camera up to capture the reflection. The background shows a row of shuttered storefronts with red neon lighting visible in the upper portion. The street is empty and dark, with street lights creating a warm glow along the sidewalk. The fisheye effect creates a curved, distorted perspective that bends the straight lines of the street and buildings. The lighting is predominantly red and dark, creating a moody urban atmosphere. The person'\''s reflection shows long dark hair and is positioned in the center of the circular frame. Multiple storefront shutters are visible in the background, creating a repeating pattern of horizontal lines. The overall composition has a cinematic quality with strong contrast between the dark street and the illuminated storefronts above.","image_url":"https://file.aiquickdraw.com/custom-page/akr/section-images/1755768466167d0tiuc6e.webp","reference_image_urls":["https://example.com/reference.png"],"rendering_speed":"BALANCED","style":"AUTO","image_size":"square_hd","strength":0.8}'Required parameters
Required: prompt, image_url, reference_image_urls.
Pass model parameters at the top level; do not wrap them in input. Replace sample media URLs with your own publicly accessible files. The request waits for generation and returns data[].url.
See the complete parameter reference for conditional requirements, limits and alternative input modes.