Fashion Diffusion website screenshot

Fashion Diffusion

AI fashion design and commercial photography platform for brands and creators, offering a generative AI fashion suite — virtual try-on, AI model and outfit generation, flat lay production, background change and removal, garment recolor, face swap and fashion video. Fashion Diffusion exposes a bearer-key REST Public API at https://www.fashiondiffusion.ai/api/public/v1/ built on a submit-and-poll task model: a generation request returns HTTP 202 with a task id, and the caller polls until the task reaches SUCCEEDED or FAILED. The published reference documents four operations across two capabilities — Virtual Try-On and AI Inpainting submission plus task query and cursor-paginated task list — while marketing advertises more than 18 endpoints. There is no OpenAPI, GraphQL schema, Postman collection, MCP server, agent card, SDK, webhook surface, status page or changelog, and the reference states plainly that this version carries no idempotency protection.

Fashion Diffusion publishes 1 API on the APIs.io network. Tagged areas include Fashion, E-Commerce, Retail, Generative AI, and Image Generation.

Fashion Diffusion’s developer surface includes pricing, signup flow, engineering blog, support, and 9 more developer resources.

36.8/100 thin ▬ flat Agent 8/100 agent aware Front door AI 6/6 dominant Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
AccessPaid
1 APIs
FashionE-CommerceRetailGenerative AIImage GenerationVirtual Try-OnComputer VisionVideo GenerationProduct PhotographyCreative / Design Tools

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/fashiondiffusion: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Fashion Diffusion Public API

REST API for asynchronous AI fashion generation tasks. Authenticates with a single long-lived bearer API key (Authorization: Bearer fd_live_xxx); the secret is shown only once a...

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Fashiondiffusion Rate Limits

0 limits

RATE LIMITS

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Fashiondiffusion Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
name: Fashion Diffusion
aid: fashiondiffusion
description: 'AI fashion design and commercial photography platform for brands and creators, offering a generative AI fashion
  suite — virtual try-on, AI model and outfit generation, flat lay production, background change and removal, garment recolor,
  face swap and fashion video. Fashion Diffusion exposes a bearer-key REST Public API at https://www.fashiondiffusion.ai/api/public/v1/
  built on a submit-and-poll task model: a generation request returns HTTP 202 with a task id, and the caller polls until
  the task reaches SUCCEEDED or FAILED. The published reference documents four operations across two capabilities — Virtual
  Try-On and AI Inpainting submission plus task query and cursor-paginated task list — while marketing advertises more than
  18 endpoints. There is no OpenAPI, GraphQL schema, Postman collection, MCP server, agent card, SDK, webhook surface, status
  page or changelog, and the reference states plainly that this version carries no idempotency protection.'
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: high
  source:
  - plans
  - authentication
  - rate-limits
  - security
  generated: '2026-09-03'
  method: derived
image: https://zhiyi-image.oss-cn-hangzhou.aliyuncs.com/devops/comfyui/input/demo/web-assets/fd-web/v20260806/images/product-hero/home.webp
url: https://raw.githubusercontent.com/api-evangelist/ai-fashion-design-platform-for-brands-amp-creators/refs/heads/main/apis.yml
created: '2026-08-31'
modified: '2026-08-31'
specificationVersion: '0.21'
tags:
- Fashion
- E-Commerce
- Retail
- Generative AI
- Image Generation
- Virtual Try-On
- Computer Vision
- Video Generation
- Product Photography
- Creative / Design Tools
tags_raw:
- Fashion
- E-commerce
- Retail
- Generative AI
- Image Generation
- Virtual Try-On
- Computer Vision
- Video Generation
- Product Photography
- Creative / Design Tools
- Image-Generation
- Computer-Vision
apis:
- name: Fashion Diffusion Public API
  description: 'REST API for asynchronous AI fashion generation tasks. Authenticates with a single long-lived bearer API key
    (Authorization: Bearer fd_live_xxx); the secret is shown only once at creation and a key may read only tasks owned by
    its user and current team. Documented operations: POST /virtual-try-on/tasks and POST /ai-inpainting/tasks (both return
    202 with a task id), GET /tasks/{taskId}, and GET /tasks with cursor pagination (limit 1-100, default 20, nextCursor,
    optional createdAfter). Image fields accept exactly one input form — a public HTTPS URL or a Base64 data URL — JPEG, PNG
    or WebP up to 20 MB. Errors use a proprietary envelope {"error":{"code","message","requestId"}} with the id echoed in
    X-Request-Id. No idempotency protection, no reversal path, no rate-limit headers and no webhooks.'
  humanURL: https://www.fashiondiffusion.ai/api-access
  baseURL: https://www.fashiondiffusion.ai/api/public/v1/
  tags:
  - Fashion
  - E-Commerce
  - Retail
  - Generative AI
  - Image Generation
  - Virtual Try-On
  - Computer Vision
  - Video Generation
  - Product Photography
  - Creative / Design Tools
  tags_raw:
  - Fashion
  - E-commerce
  - Retail
  - Generative AI
  - Image Generation
  - Virtual Try-On
  - Computer Vision
  - Video Generation
  - Product Photography
  - Creative / Design Tools
  - Image-Generation
  - Computer-Vision
  properties:
  - type: Documentation
    url: https://www.fashiondiffusion.ai/playground/api/docs
  - type: APIReference
    url: https://www.fashiondiffusion.ai/playground/api/docs
  - type: Authentication
    url: authentication/fashiondiffusion-authentication.yml
  - type: Conventions
    url: conventions/fashiondiffusion-conventions.yml
  - type: ErrorCatalog
    url: errors/fashiondiffusion-problem-types.yml
  - type: RateLimits
    url: rate-limits/fashiondiffusion-rate-limits.yml
  - type: Plans
    url: plans/fashiondiffusion-plans-pricing.yml
  - type: Lifecycle
    url: lifecycle/fashiondiffusion-lifecycle.yml
  - type: DataModel
    url: data-model/fashiondiffusion-data-model.yml
maintainers:
- FN: Fashion Diffusion Support
  email: support@fashiondiffusion.ai
  url: mailto:support@fashiondiffusion.ai
generated:
  by: apis.io/add
  model: claude-opus-4-8
  confidence: 80
  at: '2026-08-31T03:44:59.070Z'
common:
- type: Website
  url: https://www.fashiondiffusion.ai/
- type: DomainSecurity
  url: security/fashiondiffusion-domain-security.yml
- type: DeveloperPortal
  url: https://www.fashiondiffusion.ai/playground/api
- type: Pricing
  url: https://www.fashiondiffusion.ai/pricing
- type: SignUp
  url: https://www.fashiondiffusion.ai/login
- type: TermsOfService
  url: https://www.fashiondiffusion.ai/terms-of-service
- type: PrivacyPolicy
  url: https://www.fashiondiffusion.ai/privacy-policy
- type: Blog
  url: https://www.fashiondiffusion.ai/blog
- type: GitHubOrganization
  url: https://github.com/FashionDiffusion
- type: Support
  url: mailto:support@fashiondiffusion.ai
- type: Conformance
  url: conformance/fashiondiffusion-conformance.yml
- type: Compliance
  url: conformance/fashiondiffusion-conformance.yml
- type: LLMsTxt
  url: llms/fashiondiffusion-llms.txt
x-enrichment:
  date: '2026-08-31'
  status: enriched
  artifacts_added: 13
  pass: local-v1

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