SaaS Metrics
basketikun/infinite-canvas
面向AI创作的开源无限画布工作台，集成 AI 生图、参考图编辑、视频生成、画布编排、对话助手、提示词库和素材管理等功能、兼容OpenAI接口，支持chatgpt2api、grok2api、flow2api、newapi等接入。
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AI Executive Synthesis
Achieving stable 2K/4K image generation by explicitly mapping user-facing 'size' (aspect ratio) and 'quality' (resolution tier) to precise pixel dimensions for backend API calls, ensuring consistent high-resolution output across diverse OpenAI-compatible services.
The current ambiguity in 'size' and 'quality' parameters for AI image generation leads to inconsistent high-resolution output, particularly with OpenAI-compatible proxy services. Users expect 'quality' to directly correlate with resolution (e.g., 4K), not just a qualitative descriptor. The proposed solution of explicitly mapping aspect ratio and resolution tiers to precise pixel dimensions before API calls is critical. This ensures reliable 2K/4K generation, improves user experience through intuitive controls, and stabilizes integration with varied API implementations. This issue highlights the necessity for robust, explicit parameter translation layers in platforms leveraging diverse AI models, preventing misinterpretation by downstream services and ensuring consistent, high-fidelity results.
面向AI创作的开源无限画布工作台，集成 AI 生图、参考图编辑、视频生成、画布编排、对话助手、提示词库和素材管理等功能、兼容OpenAI接口，支持chatgpt2api、grok2api、flow2api、newapi等接入。
Related Ecosystem & Alternatives
Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.
Deep-Dive FAQs
What is basketikun/infinite-canvas?
basketikun/infinite-canvas is analyzed by our AI as: Achieving stable 2K/4K image generation by explicitly mapping user-facing 'size' (aspect ratio) and 'quality' (resolution tier) to precise pixel dimensions for backend API calls, ensuring consistent high-resolution output across diverse OpenAI-compatible services.. It focuses on The current ambiguity in 'size' and 'quality' parameters for AI image generation leads to inconsistent high-resolution output, particularly with Op...
Where did basketikun/infinite-canvas originate?
Data for basketikun/infinite-canvas was aggregated directly from the GitHub Open Source community ecosystem, representing raw developer and early-adopter sentiment.
When was basketikun/infinite-canvas publicly launched?
The initial public indexing or launch date for basketikun/infinite-canvas within our tracked developer communities was recorded on May 18, 2026.
How popular is basketikun/infinite-canvas?
basketikun/infinite-canvas has achieved measurable traction, logging over 789 traction score and facilitating 175 recorded discussions or engagements.
Are there active development issues for basketikun/infinite-canvas?
Yes, we are currently tracking open architectural debates and bug reports for this project on GitHub. There are currently 4 active high-priority issues logged recently.
Are there open-source alternatives related to basketikun/infinite-canvas?
Yes, the GitHub ecosystem contains correlated projects. For example, a repository named fikrikarim/parlor shares highly similar architectural descriptions and topics.
How does the creator describe basketikun/infinite-canvas?
The original author or development team describes the product as follows: "面向AI创作的开源无限画布工作台，集成 AI 生图、参考图编辑、视频生成、画布编排、对话助手、提示词库和素材管理等功能、兼容OpenAI接口，支持chatgpt2api、grok2api、flow2api、newapi等接入。"
Active Developer Issues (GitHub)
Logged: May 26, 2026
Logged: May 26, 2026
Logged: May 25, 2026
Logged: May 23, 2026
Community Voice & Feedback
视频是生成了, 我在薄荷的后台看到了, 无限生图这边是 接口 AI 接口请求失败,
执行中的
```
{
"id": 277,
"created_at": 1779795382,
"updated_at": 1779795477,
"task_id": "task_oI8DQawklw5KLGezsWgGjqfRVZvt1y77",
"platform": "1",
"user_id": 12476,
"group": "maomao-sora",
"channel_id": 0,
"quota": 2500,
"action": "textGenerate",
"status": "IN_PROGRESS",
"fail_reason": "",
"submit_time": 1779795382,
"start_time": 1779795402,
"finish_time": 0,
"progress": "79%",
"properties": {
"input": "",
"upstream_model_name": "veo3.1-pro",
"origin_model_name": "veo3.1-pro"
},
"data": {
"id": "task_oI8DQawklw5KLGezsWgGjqfRVZvt1y77",
"data": [],
"size": "720x1280",
"error": null,
"model": "veo3.1-pro",
"object": "video",
"status": "in_progress",
"seconds": "8",
"task_id": "video_f00...
执行中的
```
{
"id": 277,
"created_at": 1779795382,
"updated_at": 1779795477,
"task_id": "task_oI8DQawklw5KLGezsWgGjqfRVZvt1y77",
"platform": "1",
"user_id": 12476,
"group": "maomao-sora",
"channel_id": 0,
"quota": 2500,
"action": "textGenerate",
"status": "IN_PROGRESS",
"fail_reason": "",
"submit_time": 1779795382,
"start_time": 1779795402,
"finish_time": 0,
"progress": "79%",
"properties": {
"input": "",
"upstream_model_name": "veo3.1-pro",
"origin_model_name": "veo3.1-pro"
},
"data": {
"id": "task_oI8DQawklw5KLGezsWgGjqfRVZvt1y77",
"data": [],
"size": "720x1280",
"error": null,
"model": "veo3.1-pro",
"object": "video",
"status": "in_progress",
"seconds": "8",
"task_id": "video_f00...
不对。 我这截取的，好像没作用。。。。。
这就不清楚渠道来源了。 下面是截取的请求。
后续支持
他这个是flow2api的吗，目前视频生成接口使用 OpenAI 兼容的 `POST /v1/videos`、`GET /v1/videos/{id}` 和 `GET /v1/videos/{id}/content`。
把项目同步到个人的nas，使用体验会更好
2026/05/25 06:16:37 AI upstream error: url=https://xxxx/v1/images/generations status=400 body={"detail":"quality 仅支持 low、medium、high、standard 或 hd"}
赞成，目前选high确实会1k左右分辨率
这个提意好
这样吗
Discovery Source
GitHub Open Source Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
No mainstream media stories specifically mentioning this product name have been intercepted yet.
Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.