From 06dff2abc6896bc8b762eeaa36bd2d7cb37802ab Mon Sep 17 00:00:00 2001 From: 524110636 <524110636@qq.com> Date: Sun, 7 Jun 2026 14:55:31 +0800 Subject: [PATCH 1/5] Backup before GPT image fix --- main.py | 3 ++- static/angle.html | 18 +++++++++--------- static/api-settings.html | 14 +++++++------- static/asset-manager.html | 10 +++++----- static/canvas.html | 16 ++++++++-------- static/comfyui-settings.html | 14 +++++++------- static/enhance.html | 16 ++++++++-------- static/gpt-chat.html | 12 ++++++------ static/index.html | 28 ++++++++++++++-------------- static/klein.html | 16 ++++++++-------- static/online.html | 16 ++++++++-------- static/smart-canvas.html | 10 +++++----- static/zimage.html | 14 +++++++------- 13 files changed, 94 insertions(+), 93 deletions(-) diff --git a/main.py b/main.py index bab28b8c7..773482779 100644 --- a/main.py +++ b/main.py @@ -6750,13 +6750,14 @@ async def post_openai_edits(edit_files=None): edit_failed_status = None edit_failed_text = "" try: + image_field_name = "image[]" if is_gpt2 and len(image_refs) > 1 else "image" for ref in image_refs[:4]: path = output_file_from_url(ref.get("url", "")) if not path: continue fh = open(path, "rb") opened.append(fh) - files.append(("image", (os.path.basename(path), fh, content_type_for_path(path)))) + files.append((image_field_name, (os.path.basename(path), fh, content_type_for_path(path)))) if mask_refs: mask_path = output_file_from_url(mask_refs[0].get("url", "")) if mask_path: diff --git a/static/angle.html b/static/angle.html index 2bc342c72..c412e53a0 100644 --- a/static/angle.html +++ b/static/angle.html @@ -17,21 +17,21 @@ } catch(e) {} })(); - - - - - - + + + + + + - + diff --git a/static/api-settings.html b/static/api-settings.html index a3071ae0f..3e49f66c2 100644 --- a/static/api-settings.html +++ b/static/api-settings.html @@ -15,12 +15,12 @@ } catch(e) {} })(); - - - - - - + + + + + +
@@ -464,6 +464,6 @@
- + diff --git a/static/asset-manager.html b/static/asset-manager.html index fc0ffd37f..b2810962e 100644 --- a/static/asset-manager.html +++ b/static/asset-manager.html @@ -16,10 +16,10 @@ } catch(e) {} })(); - - - - + + + +
@@ -46,6 +46,6 @@
- + diff --git a/static/canvas.html b/static/canvas.html index c2ae5b955..3daee80bf 100644 --- a/static/canvas.html +++ b/static/canvas.html @@ -16,12 +16,12 @@ } catch(e) {} })(); - - - - - - + + + + + +
@@ -363,7 +363,7 @@
- - + + diff --git a/static/comfyui-settings.html b/static/comfyui-settings.html index 551831638..69dec2435 100644 --- a/static/comfyui-settings.html +++ b/static/comfyui-settings.html @@ -15,12 +15,12 @@ } catch(e) {} })(); - - - - - - + + + + + +
@@ -122,6 +122,6 @@ preview
- + diff --git a/static/enhance.html b/static/enhance.html index f0e273eb5..41fd96a61 100644 --- a/static/enhance.html +++ b/static/enhance.html @@ -17,14 +17,14 @@ } catch(e) {} })(); - - - - - - + + + + + + - + diff --git a/static/gpt-chat.html b/static/gpt-chat.html index 80b18282a..3c0c86089 100644 --- a/static/gpt-chat.html +++ b/static/gpt-chat.html @@ -16,12 +16,12 @@ } catch(e) {} })(); - - - - + + + + - +
diff --git a/static/index.html b/static/index.html index c8205a5aa..6cce44c48 100644 --- a/static/index.html +++ b/static/index.html @@ -23,11 +23,11 @@ } catch(e) {} })(); - - - + + + - + diff --git a/static/online.html b/static/online.html index c90f7a8f5..81946d75d 100644 --- a/static/online.html +++ b/static/online.html @@ -16,14 +16,14 @@ } catch(e) {} })(); - - - - - - + + + + + + - + - + From 4dc6bd27bb47ec818cd9be50fe8a7f51f86dd898 Mon Sep 17 00:00:00 2001 From: 524110636 <524110636@qq.com> Date: Sun, 7 Jun 2026 15:00:09 +0800 Subject: [PATCH 2/5] Fix GPT image request parameters --- main.py | 26 ++++++++++++++++++++------ 1 file changed, 20 insertions(+), 6 deletions(-) diff --git a/main.py b/main.py index 773482779..e8f05722d 100644 --- a/main.py +++ b/main.py @@ -5723,6 +5723,17 @@ def is_gpt_image_2_model(model): or compact.endswith("gptimage2") ) +def is_gpt_image_model(model): + raw = str(model or "").strip().lower() + normalized = re.sub(r"[^a-z0-9]+", "-", raw).strip("-") + compact = re.sub(r"[^a-z0-9]+", "", raw) + return ( + normalized.startswith("gpt-image-") + or normalized == "chatgpt-image-latest" + or compact.startswith("gptimage") + or compact == "chatgptimagelatest" + ) + def normalize_gpt_image_2_size(size): width, height = parse_size_pair(size) if not width or not height: @@ -6693,6 +6704,7 @@ async def generate_ai_image(prompt, size, quality, model, reference_images=None, return await generate_gemini_provider_image(prompt, size, model, reference_images, provider) if is_volcengine_provider(provider): return await generate_volcengine_provider_image(prompt, size, model, reference_images, provider) + is_gpt_image = is_gpt_image_model(model) is_gpt2 = is_gpt_image_2_model(model) is_apimart = is_apimart_provider(provider) quality = str(quality or "").strip().lower() @@ -6706,7 +6718,7 @@ async def generate_ai_image(prompt, size, quality, model, reference_images=None, refs = [ref for ref in (reference_images or []) if ref.get("url")] mask_refs = [ref for ref in refs if str(ref.get("role") or "").strip().lower() == "mask" or str(ref.get("name") or "").lower().endswith("_mask.png")] image_refs = [ref for ref in refs if ref not in mask_refs] - request_timeout = httpx.Timeout(connect=20.0, read=1800.0, write=120.0, pool=20.0) if (is_gpt2 or is_apimart) else AI_REQUEST_TIMEOUT + request_timeout = httpx.Timeout(connect=20.0, read=1800.0, write=120.0, pool=20.0) if (is_gpt_image or is_apimart) else AI_REQUEST_TIMEOUT async with httpx.AsyncClient(timeout=request_timeout) as client: response = None async def post_openai_edits(edit_files=None): @@ -6735,7 +6747,7 @@ async def post_openai_edits(edit_files=None): if image_refs: body["image_urls"] = [reference_to_data_url(ref, max_size=1536) for ref in image_refs[:16]] response = await client.post(gen_url, headers=api_headers(provider=provider, model=model), json=body) - elif is_gpt2 and not image_refs and not mask_refs: + elif is_gpt_image and not image_refs and not mask_refs: body = {"model": model, "prompt": prompt, "size": size} if quality: body["quality"] = quality @@ -6750,7 +6762,7 @@ async def post_openai_edits(edit_files=None): edit_failed_status = None edit_failed_text = "" try: - image_field_name = "image[]" if is_gpt2 and len(image_refs) > 1 else "image" + image_field_name = "image[]" if is_gpt_image and len(image_refs) > 1 else "image" for ref in image_refs[:4]: path = output_file_from_url(ref.get("url", "")) if not path: @@ -6779,10 +6791,10 @@ async def post_openai_edits(edit_files=None): fh.close() # 2) edits 失败 → 非 GPT-Image-2 可回退到 /images/generations + JSON image:[urls/base64]（grsai 风格） if response is None: - if is_gpt2: + if is_gpt_image: raise HTTPException( status_code=502, - detail=f"GPT-Image-2 编辑接口 /images/edits 调用失败：{edit_failed_text[:300] or edit_failed_status}。已停止自动重试，避免上游可能已扣费后再次请求。" + detail=f"GPT 图像模型编辑接口 /images/edits 调用失败：{edit_failed_text[:300] or edit_failed_status}。已停止自动重试，避免上游可能已扣费后再次请求。" ) print(f"/images/edits failed ({edit_failed_status}): {edit_failed_text[:200]} → 回退到 /images/generations + image:[] JSON") image_payload = [reference_to_data_url(ref, max_size=1536) for ref in image_refs[:4]] @@ -6800,7 +6812,9 @@ async def post_openai_edits(edit_files=None): detail=f"编辑接口 /images/edits 调用失败，且该平台不支持 /images/generations：{edit_failed_text[:300] or edit_failed_status}" ) else: - body = {"model": model, "prompt": prompt, "size": size, "response_format": "url", "n": 1} + body = {"model": model, "prompt": prompt, "size": size, "n": 1} + if not is_gpt_image: + body["response_format"] = "url" if quality: body["quality"] = quality response = await client.post( From 4087a2ff4ef144098b133d50ce67a8812fe84ffe Mon Sep 17 00:00:00 2001 From: 524110636 <524110636@qq.com> Date: Sun, 7 Jun 2026 16:23:44 +0800 Subject: [PATCH 3/5] Add DashScope Qwen image generation support --- main.py | 107 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 107 insertions(+) diff --git a/main.py b/main.py index e8f05722d..b1adb4245 100644 --- a/main.py +++ b/main.py @@ -3028,6 +3028,24 @@ def extract_image(data): "value": value, "mime_type": inline.get("mimeType") or inline.get("mime_type") or "image/png", } + output = data.get("output") if isinstance(data, dict) else None + choices = output.get("choices") if isinstance(output, dict) else None + if isinstance(choices, list): + for choice in choices: + if not isinstance(choice, dict): + continue + message = choice.get("message") or {} + content = message.get("content") if isinstance(message, dict) else None + if not isinstance(content, list): + continue + for part in content: + if isinstance(part, dict) and part.get("image"): + return {"type": "url", "value": part["image"]} + results = output.get("results") if isinstance(output, dict) else None + if isinstance(results, list): + for item in results: + if isinstance(item, dict) and item.get("url"): + return {"type": "url", "value": item["url"]} if isinstance(data.get("data"), dict) and isinstance(data["data"].get("result"), dict): data = data["data"] if isinstance(data.get("result"), dict): @@ -5734,6 +5752,16 @@ def is_gpt_image_model(model): or compact == "chatgptimagelatest" ) +def is_qwen_image_model(model): + raw = str(model or "").strip().lower() + name = raw.rsplit("/", 1)[-1] + normalized = re.sub(r"[^a-z0-9]+", "-", name).strip("-") + return normalized == "qwen-image" or normalized.startswith("qwen-image-") + +def is_dashscope_image_provider(provider): + base_url = str((provider or {}).get("base_url") or "").lower() + return "dashscope.aliyuncs.com" in base_url or "maas.aliyuncs.com" in base_url + def normalize_gpt_image_2_size(size): width, height = parse_size_pair(size) if not width or not height: @@ -6692,6 +6720,83 @@ async def generate_runninghub_provider_image(prompt, size, model, reference_imag result = await wait_for_runninghub_image_task(client, provider, task_id) return runninghub_extract_image(result), result +DASHSCOPE_IMAGE_GENERATION_PATH = "/api/v1/services/aigc/multimodal-generation/generation" + +def dashscope_image_endpoint_url(provider): + override = str((provider or {}).get("image_generation_endpoint") or "").strip() + base_url = str((provider or {}).get("base_url") or "").strip().rstrip("/") + if override: + if re.match(r"^https?://", override, re.I): + return override.rstrip("/") + parsed = urllib.parse.urlsplit(base_url) + if parsed.scheme and parsed.netloc: + return f"{parsed.scheme}://{parsed.netloc}{override}" + return override + parsed = urllib.parse.urlsplit(base_url) + if parsed.scheme and parsed.netloc: + return f"{parsed.scheme}://{parsed.netloc}{DASHSCOPE_IMAGE_GENERATION_PATH}" + return f"https://dashscope.aliyuncs.com{DASHSCOPE_IMAGE_GENERATION_PATH}" + +def qwen_image_size_param(size): + width, height = parse_size_pair(size) + if width and height: + return f"{width}*{height}" + raw = str(size or "").strip().lower().replace(" ", "") + if re.fullmatch(r"\d+\*\d+", raw): + return raw + ratio_sizes = { + "1:1": "2048*2048", + "16:9": "2688*1536", + "9:16": "1536*2688", + "4:3": "2368*1728", + "3:4": "1728*2368", + } + if raw in ratio_sizes: + return ratio_sizes[raw] + if raw == "1k": + return "1024*1024" + if raw in {"", "auto", "2k", "4k"}: + return "2048*2048" + return "" + +async def generate_dashscope_qwen_image(prompt, size, model, reference_images=None, provider=None): + content = [] + refs = [ref for ref in (reference_images or []) if isinstance(ref, dict) and ref.get("url")] + image_refs = [ + ref for ref in refs + if str(ref.get("role") or "").strip().lower() != "mask" + and not str(ref.get("name") or "").lower().endswith("_mask.png") + ] + for ref in image_refs[:4]: + value = reference_to_data_url(ref, max_size=2048) + if value: + content.append({"image": value}) + text = str(prompt or "").strip() + if text: + content.append({"text": text}) + if not content: + raise HTTPException(status_code=400, detail="千问图片模型需要提示词或参考图") + parameters = {"n": 1, "watermark": False} + size_param = qwen_image_size_param(size) + if size_param: + parameters["size"] = size_param + body = { + "model": model, + "input": {"messages": [{"role": "user", "content": content}]}, + "parameters": parameters, + } + endpoint = dashscope_image_endpoint_url(provider) + timeout = httpx.Timeout(connect=20.0, read=1800.0, write=180.0, pool=20.0) + async with httpx.AsyncClient(timeout=timeout) as client: + response = await client.post(endpoint, headers=api_headers(provider=provider, model=model), json=body) + if response.status_code >= 400: + raise HTTPException(status_code=502, detail=f"DashScope 千问图片接口错误：{response.text[:500]}") + raw = response.json() + if isinstance(raw, dict) and raw.get("code") and not raw.get("output"): + message = raw.get("message") or raw.get("code") + raise HTTPException(status_code=502, detail=f"DashScope 千问图片接口错误：{message}") + return extract_image(raw), raw + async def generate_ai_image(prompt, size, quality, model, reference_images=None, provider_id="comfly"): provider = get_api_provider(provider_id) if provider["id"] == "modelscope": @@ -6700,6 +6805,8 @@ async def generate_ai_image(prompt, size, quality, model, reference_images=None, return await generate_jimeng_provider_image(prompt, size, model, reference_images, provider) if is_runninghub_provider(provider): return await generate_runninghub_provider_image(prompt, size, model, reference_images, provider) + if is_dashscope_image_provider(provider) and is_qwen_image_model(model): + return await generate_dashscope_qwen_image(prompt, size, model, reference_images, provider) if effective_protocol(provider, model) == "gemini": return await generate_gemini_provider_image(prompt, size, model, reference_images, provider) if is_volcengine_provider(provider): From 61ea17a5ce7df6e2edf4b49f068950ee88ff4829 Mon Sep 17 00:00:00 2001 From: 524110636 <524110636@qq.com> Date: Sun, 7 Jun 2026 17:13:55 +0800 Subject: [PATCH 4/5] Document DashScope Qwen image setup --- README.md | 5 ++- ...77\347\224\250\346\225\231\347\250\213.md" | 39 +++++++++++++++++-- 2 files changed, 39 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index a2cd991ef..ba8f8b12e 100644 --- a/README.md +++ b/README.md @@ -25,8 +25,9 @@ https://www.fhl.mom/register?aff=86L574B4T2N9 （包含codex和GPT image 2模 3. 火山引擎调用（人脸认证还在修复bug） 4. Modelscope免费LLM模型和图像模型调用 5. 即梦CLI调用，可直接调用即梦高级会员的积分，支持文生图/图生图/文生视频/图生视频 -6. 支持调用本地局域网的ComfyUI -7. 扩展图片/360全景图预览截图/视频帧抽取/循环节点等诸多功能 +6. 支持阿里云百炼 DashScope 兼容模式下的 LLM 调用，并对 `qwen-image-*` 图片模型自动走千问原生图片生成/编辑接口 +7. 支持调用本地局域网的ComfyUI +8. 扩展图片/360全景图预览截图/视频帧抽取/循环节点等诸多功能 -------- diff --git "a/\346\226\260\346\211\213\350\277\220\350\241\214\344\270\216\344\275\277\347\224\250\346\225\231\347\250\213.md" "b/\346\226\260\346\211\213\350\277\220\350\241\214\344\270\216\344\275\277\347\224\250\346\225\231\347\250\213.md" index 92f7c0950..a82523ef0 100644 --- "a/\346\226\260\346\211\213\350\277\220\350\241\214\344\270\216\344\275\277\347\224\250\346\225\231\347\250\213.md" +++ "b/\346\226\260\346\211\213\350\277\220\350\241\214\344\270\216\344\275\277\347\224\250\346\225\231\347\250\213.md" @@ -353,13 +353,46 @@ APIMart 异步 如果模型被自动分错类，例如图片模型被分到视频里，可以手动删除再添加到正确分类。 -### 2. 为什么推荐异步协议 +### 2. 阿里云百炼 / 千问图片模型怎么配置 + +如果你使用阿里云百炼的兼容模式调用 LLM，例如 `kimi-k2.6`、通义千问文本模型等，可以在 API 平台里新增一个平台： + +```text +请求地址：https://dashscope.aliyuncs.com/compatible-mode/v1 +协议：OpenAI +``` + +然后填入自己的百炼 API Key，拉取或手动添加模型。 + +如果要使用千问图片模型，请把模型添加到图片模型列表，例如： + +```text +qwen-image-2.0 +qwen-image-2.0-pro +``` + +项目会自动识别 DashScope/百炼地址下的 `qwen-image-*` 图片模型，并改用千问官方原生图片接口： + +```text +https://dashscope.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation +``` + +也就是说，LLM 仍然可以使用百炼 OpenAI 兼容模式；但 `qwen-image-*` 生图和图像编辑不会按普通 OpenAI `/images/generations` 或 `/images/edits` 发送，而是按千问图片模型要求发送 `input.messages[].content` 和 `parameters`。 + +如果遇到上游报错，优先检查： + +- 图片模型名是否是百炼支持的真实模型名。 +- API Key 是否属于同一个地域，北京和新加坡地域不要混用。 +- 参考图是否是图片文件，且数量不要超过当前节点/模型支持范围。 +- 生成数量建议先保持 1 张，确认跑通后再调整。 + +### 3. 为什么推荐异步协议 普通 OpenAI 协议一般是直接请求，网络中断或等待超时可能导致任务失败。 异步协议是先把任务提交到后台，后台生成成功后再把结果返回。它更适合图片、视频这种耗时任务，网络波动时也更稳。 -### 3. API 配置后仍然不能拉取模型 +### 4. API 配置后仍然不能拉取模型 检查这些点： @@ -369,7 +402,7 @@ APIMart 异步 - 协议是否选对。APIMart 用 APIMart 异步，其他 OpenAI 兼容平台多半用 OpenAI。 - 网络是否能访问对应平台。 -### 4. 不要把 API Key 发给别人 +### 5. 不要把 API Key 发给别人 项目的真实密钥一般保存在本地配置里。不要把 `API/.env` 或任何包含 Key 的文件发到 GitHub、群聊、网盘公开目录。 From 94646ab4f46093b3a37b3b2f3486ece241132ce9 Mon Sep 17 00:00:00 2001 From: 524110636 <524110636@qq.com> Date: Sun, 7 Jun 2026 19:31:59 +0800 Subject: [PATCH 5/5] =?UTF-8?q?feat:=20OUTPUT=E8=8A=82=E7=82=B9=E5=9B=BE?= =?UTF-8?q?=E7=89=87=E6=9D=A5=E6=BA=90=E6=A0=87=E7=AD=BE=20+=20=E8=BF=9E?= =?UTF-8?q?=E7=BA=BF=E6=82=AC=E5=81=9C=E9=AB=98=E4=BA=AE=20+=20=E6=96=87?= =?UTF-8?q?=E6=A1=A3/=E5=9B=BE=E8=B0=B1=E6=9B=B4=E6=96=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit 前端增强: - OUTPUT节点图片显示平台/模型来源标签 (providerLabel / modelLabel) - 鼠标悬停节点时连线蓝色发光高亮 (board mousemove事件委托) - 修复: 避免拖拽/缩放期间触发hover导致节点回弹 文档: - CLAUDE.md: 新增节点类型说明、canvas同步机制、DashScope Qwen等 - graphify-out: 知识图谱增量更新 (5379节点/14474边/25社区) Co-Authored-By: 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b/CLAUDE.md new file mode 100644 index 000000000..4668849bc --- /dev/null +++ b/CLAUDE.md @@ -0,0 +1,109 @@ +# CLAUDE.md + +This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository. + +## Project Overview + +**Infinite-Canvas (AI Studio)** — a monolithic AI image/video/LLM generation platform supporting multiple API providers through a unified UI. Single-developer project, Chinese-language primary audience. + +## Architecture + +``` +main.py — FastAPI monolith (~11,700 lines): API routes, data models, all business logic +static/ — Frontend: vanilla HTML/JS/CSS (no bundler, no framework) + index.html — Main studio shell (SPA with iframe-based page routing) + canvas.html — Node-based workflow canvas for image/video generation pipelines + smart-canvas.html — Chat-like AI composer with inline image generation + gpt-chat.html — LLM chat interface + enhance.html — Image enhancement/upscaling + klein.html — Flux2-Klein model interface + zimage.html — Z-Image model interface + online.html — Online API image generation + angle.html — ModelScope angle control + api-settings.html — API provider configuration UI + asset-manager.html — Local asset library management + comfyui-settings.html — Local ComfyUI instance management + js/ — Page-specific JS modules (canvas.js, smart-canvas.js, etc.) + js/i18n/ — Internationalization (zh-CN + en), loaded by i18n.js + vendor/ — Locally mirrored third-party libs (Tailwind CSS, Lucide icons, Three.js) + system-prompts/ — Markdown prompt templates for smart-canvas + runninghub/ — Static RunningHub provider config + thumbnails +data/ — JSON file storage (api_providers, conversations, canvases, prompt libraries, etc.) +API/ — `.env` file for API keys (gitignored) +assets/ — input/output/library/uploads directories for generated/uploaded media +workflows/ — ComfyUI workflow JSON files +packages/ — Offline pip wheel cache for portable Python +python/ — Bundled portable Python runtime (Windows) +tools/ — PowerShell scripts for Jimeng CLI install/login +``` + +## Running the Project + +```bash +# Windows — double-click run.bat or: +python\python.exe main.py + +# macOS — double-click mac-启动服务.command or: +python3 main.py + +# The server starts on http://127.0.0.1:3000/ +``` + +No build step. The frontend is static HTML served by FastAPI's `StaticFiles` mount. CDN dependencies are mirrored locally in `static/vendor/` for offline use. + +## Key Technical Details + +### Backend (`main.py`) + +- **Framework**: FastAPI with CORS middleware (allow all origins), WebSocket support for live stats +- **Data persistence**: JSON files in `data/` directory, protected by per-resource `threading.Lock` instances +- **API providers** are configured in `data/api_providers.json`, managed via `/api/providers` endpoints. Provider protocols: `openai`, `apimart`, `gemini`, `volcengine`, `runninghub`, `jimeng` +- **API keys** stored in `API/.env` (key=value format), read via `load_env_file()` +- **Image generation flow**: `/api/online-image` (single) or `/api/canvas-image-tasks` (batched, sequential queue with `QUEUE_LOCK`) +- **Video generation**: `/api/canvas-video` with provider-specific dispatch (Volcengine Ark, Jimeng/dreamina CLI, RunningHub, OpenAI-compatible) +- **LLM chat**: `/api/canvas-llm` and `/api/conversations` endpoints, conversation state stored as JSON files +- **Local ComfyUI**: Polls configurable ComfyUI instances (`COMFYUI_INSTANCES` list), proxy image viewing through `/api/view` +- **ModelScope**: API calls to `modelscope.cn` for free model access, uses repo file API (not raw web) +- **Jimeng (即梦)**: CLI-based integration — spawns `dreamina` as subprocess for login, submit, and poll +- **DashScope Qwen**: `generate_dashscope_qwen_image()` for Aliyun DashScope Qwen image generation. `is_qwen_image_model()` and `is_dashscope_image_provider()` added for provider dispatch +- **GPT Image**: `is_gpt_image_model()` generalizes the old `is_gpt_image_2_model()` to support all GPT image models. Multipart form uses `image[]` field name when multi-image +- **Auto-update**: `/api/check-update` checks GitHub/ModelScope for new VERSION; `/api/update-from-github` stages and applies updates with rollback support +- **App version** stored in `VERSION` file (format: `YYYY.MM.DD`), automatically appended as query param to static assets for cache busting + +### Frontend + +- **No framework** — vanilla JS with DOM manipulation +- **Tailwind CSS** loaded from local mirror (`static/vendor/js/tailwindcss-cdn.js`) +- **Icons**: Lucide (local mirror) +- **3D**: Three.js 0.160.0 (local mirror) — used in canvas for node graph visualization +- **i18n**: Custom system in `static/js/i18n/` — `StudioI18n` global, translations loaded as JS modules. `tr(key)` for translation, `langIsEn()` for language check +- **Theme**: Dark/light via CSS custom properties on `html.theme-dark`, toggled by `theme.js` +- **Inter-page communication**: `window.postMessage` for cross-iframe events (lang change, canvas updates, provider changes) +- **Version cache busting**: Static assets get `?v=` query strings generated by `versioned_static_html()` in Python + +### Data Model + +- **Canvas save/sync**: Uses optimistic concurrency — `saveCanvas()` sends `base_updated_at`, server returns 409 if stale (another tab saved first). `touchCanvasOpened()` bumps `updated_at` on open. Polling (`checkRemoteCanvasVersion()`) checks `/api/canvases/{id}/meta` every 2.5s. WebSocket broadcasts ignored when `client_id` matches own `CLIENT_ID`. +- **Event delegation**: Node hover detection uses `board mousemove` + `e.target.closest('.node')` — no per-element listeners. Drag/resize/knife modes skip hover to avoid conflicts. in `data/canvases/.json`. Node types: + - `image` — reference image (paste/drag/upload) + - `prompt` — text prompt + - `generator` — API image generation (OpenAI-compatible providers) + - `msgen` — ModelScope free image generation (Z-Image, Qwen-Edit, custom models) + - `rh` — RunningHub workflow/AI app execution + - `comfy` — Local ComfyUI (text-to-image, enhance, edit, custom workflow) + - `ltxDirector` — ComfyUI LTXDirector video with multi-segment timeline + - `video` — API video generation + - `llm` — LLM chat node + - `output` — Collects generated images/videos from upstream nodes + - `group` / `promptGroup` — Logical grouping of nodes + - `loop` — Serial/parallel batch execution with configurable count + - Output nodes now display `providerLabel` and `modelLabel` tags on each image (set in `appendOutputImages()`) + - Link hover highlighting via `hoveredNodeId` in board `mousemove` event delegation (`renderLinks()` adds `link-hover` class) +- **Asset Library**: `data/asset_library.json` — metadata index for files in `assets/library/` +- **Prompt Libraries**: `data/prompt_libraries.json` — categorized prompt templates +- **History**: `history.json` — task execution log with results +- **Conversations**: `data/conversations/.json` — LLM chat history + +## File Size Warning + +`main.py` is ~11,700 lines. When editing, use targeted search (Grep) to locate the relevant section. Major section markers (comments like `# --- 路由接口 ---`) help navigation. The file is too large to read in one operation — always use `offset`/`limit` parameters. diff --git a/graphify-out/GRAPH_REPORT.md b/graphify-out/GRAPH_REPORT.md new file mode 100644 index 000000000..ac8f36e5d --- /dev/null +++ b/graphify-out/GRAPH_REPORT.md @@ -0,0 +1,157 @@ +# Graph Report - d:/ziyong/Infinite-Canvas (2026-06-07) + +## Corpus Check +- 56 files · ~953,777 words +- Verdict: corpus is large enough that graph structure adds value. + +## Summary +- 5379 nodes · 14474 edges · 25 communities detected +- Extraction: 37% EXTRACTED · 63% INFERRED · 0% AMBIGUOUS · INFERRED: 9060 edges (avg confidence: 0.5) +- Token cost: 0 input · 0 output + +## God Nodes (most connected - your core abstractions) +1. `tr()` - 106 edges +2. `tr()` - 92 edges +3. `Vector3` - 76 edges +4. `push()` - 62 edges +5. `render()` - 59 edges +6. `map()` - 59 edges +7. `render()` - 56 edges +8. `handleClick()` - 56 edges +9. `scheduleSave()` - 55 edges +10. `Vector2` - 55 edges + +## Surprising Connections (you probably didn't know these) +- None detected - all connections are within the same source files. + +## Communities + +### Community 0 - "Three.js Object Helpers" +Cohesion: 0.0 +Nodes (92): ArrowHelper, AxesHelper, BatchedMesh, Box2, Box3, Box3Helper, BoxGeometry, BoxHelper (+84 more) + +### Community 1 - "Smart Canvas Composer" +Cohesion: 0.01 +Nodes (734): activeAssetCategory(), activeAssetLibrary(), activeComposerNode(), activeInputImagesFor(), activePromptLibrary(), activePromptTemplateGroups(), activePromptTemplateNodeId(), activeSettingsSubject() (+726 more) + +### Community 2 - "Three.js Core Primitives" +Cohesion: 0.0 +Nodes (267): addContour(), addUniform(), allocTexUnits(), AmbientLight, AnimationClip, AnimationLoader, AnimationObjectGroup, ArcCurve (+259 more) + +### Community 3 - "Canvas Workflow Graph" +Cohesion: 0.01 +Nodes (698): actionFailed(), activeCanvasAssetCategory(), activeCanvasAssetLibrary(), activeCanvasMediaCategory(), activeCanvasPromptLibrary(), activeCanvasPromptLibraryItems(), activeCanvasPromptTemplateGroups(), activeCanvasWorkflowCategory() (+690 more) + +### Community 4 - "FastAPI Backend Core" +Cohesion: 0.01 +Nodes (689): BaseModel, Exception, add_asset_library_item(), add_prompt_library_category(), add_prompt_library_item(), ai_config(), AIReference, api_headers() (+681 more) + +### Community 5 - "Tailwind CSS Library" +Cohesion: 0.01 +Nodes (510): _a(), aa(), ac(), add(), addToError(), Ae(), after(), Ah() (+502 more) + +### Community 6 - "API Provider Settings" +Cohesion: 0.03 +Nodes (170): addModel(), addMsLora(), addProvider(), applyDetectedProtocol(), applyModelPicker(), applyProviderOnboardingDefaults(), applyRhEditorGraphTransform(), applyRhImageSlotDefaults() (+162 more) + +### Community 7 - "Asset Manager UI" +Cohesion: 0.04 +Nodes (167): activeAssetCategory(), activeAssetLibrary(), activeAvatarProvider(), activeLocalFolder(), activePromptCategories(), activePromptLibrary(), activeWorkflowCategory(), activeWorkflowLibrary() (+159 more) + +### Community 8 - "Three.js Animation" +Cohesion: 0.02 +Nodes (11): AnimationAction, AnimationMixer, Audio, AudioAnalyser, AudioListener, CubicInterpolant, DiscreteInterpolant, Interpolant (+3 more) + +### Community 9 - "ComfyUI Instance Settings" +Cohesion: 0.06 +Nodes (78): addComfyInstance(), addDropdownOption(), addMiniNode(), applyActiveRandomValues(), applyGraphTransform(), applyLanguage(), attachPanZoom(), bindMiniCanvas() (+70 more) + +### Community 10 - "LTX Director Timeline" +Cohesion: 0.1 +Nodes (6): beforeRegisterNodeDef(), clamp(), hideWidget(), isCanvasLTXNode(), parseInitial(), TimelineEditor + +### Community 11 - "Three.js Math Utils" +Cohesion: 0.06 +Nodes (3): Euler, makeClipAdditive(), Quaternion + +### Community 12 - "Agent HTML Builder" +Cohesion: 0.18 +Nodes (18): build(), export_config(), extract_summary(), find_callout(), infer_meta(), _inline_md(), main(), md_to_html() (+10 more) + +### Community 13 - "Theme System" +Cohesion: 0.23 +Nodes (13): applyScale(), applyTheme(), autoScale(), broadcastScale(), currentScaleMode(), ensureScaleStyle(), isFramed(), normalizeScaleMode() (+5 more) + +### Community 14 - "get-pip Bootstrap" +Cohesion: 0.31 +Nodes (9): bootstrap(), determine_pip_install_arguments(), include_setuptools(), include_wheel(), main(), monkeypatch_for_cert(), Install setuptools only if absent, not excluded and when using Python <3.12., Install wheel only if absent, not excluded and when using Python <3.12. (+1 more) + +### Community 15 - "Lucide Icon Library" +Cohesion: 0.36 +Nodes (8): Ba(), cA(), dA(), iA(), ka(), MA(), Pa(), za() + +### Community 16 - "i18n Core Engine" +Cohesion: 0.39 +Nodes (7): apply(), entries(), lang(), register(), set(), t(), toggle() + +### Community 17 - "Jimeng CLI Installer" +Cohesion: 0.48 +Nodes (4): Convert-ToWslPath(), Invoke-WslScript(), Invoke-WslScriptCapture(), New-WslScriptFile() + +### Community 18 - "History Bulk Manager" +Cohesion: 0.6 +Nodes (4): attach(), fmt(), injectStyles(), tr() + +### Community 19 - "Jimeng CLI Login" +Cohesion: 0.6 +Nodes (3): Convert-ToWslPath(), Invoke-WslScript(), New-WslScriptFile() + +### Community 20 - "Image Preview Utility" +Cohesion: 0.67 +Nodes (0): + +### Community 21 - "i18n Module Loader" +Cohesion: 1.0 +Nodes (0): + +### Community 22 - "i18n Common Strings" +Cohesion: 1.0 +Nodes (0): + +### Community 23 - "i18n Studio Strings" +Cohesion: 1.0 +Nodes (0): + +### Community 24 - "i18n Validator" +Cohesion: 1.0 +Nodes (0): + +## Knowledge Gaps +- **105 isolated node(s):** `Install setuptools only if absent, not excluded and when using Python <3.12.`, `Install wheel only if absent, not excluded and when using Python <3.12.`, `Patches `pip install` to provide default certificate with the lowest priority.`, `首次运行时提前创建配置目录，避免第一次保存 API Key 时才创建目录/文件。`, `保存 API 设置后，将 os.environ 里最新的值同步回模块级全局变量， 避免保存后需要重启才能生效。` (+100 more) + These have ≤1 connection - possible missing edges or undocumented components. +- **Thin community `i18n Module Loader`** (1 nodes): `i18n.js` + Too small to be a meaningful cluster - may be noise or needs more connections extracted. +- **Thin community `i18n Common Strings`** (1 nodes): `common.js` + Too small to be a meaningful cluster - may be noise or needs more connections extracted. +- **Thin community `i18n Studio Strings`** (1 nodes): `studio.js` + Too small to be a meaningful cluster - may be noise or needs more connections extracted. +- **Thin community `i18n Validator`** (1 nodes): `validate-i18n.js` + Too small to be a meaningful cluster - may be noise or needs more connections extracted. + +## Suggested Questions +_Questions this graph is uniquely positioned to answer:_ + +- **Why does `Vector3` connect `Three.js Object Helpers` to `Three.js Core Primitives`?** + _High betweenness centrality (0.008) - this node is a cross-community bridge._ +- **Why does `Vector2` connect `Three.js Object Helpers` to `Three.js Core Primitives`?** + _High betweenness centrality (0.007) - this node is a cross-community bridge._ +- **Why does `Vector4` connect `Three.js Object Helpers` to `Three.js Core Primitives`?** + _High betweenness centrality (0.006) - this node is a cross-community bridge._ +- **Are the 105 inferred relationships involving `tr()` (e.g. with `performUndo()` and `trf()`) actually correct?** + _`tr()` has 105 INFERRED edges - model-reasoned connections that need verification._ +- **Are the 91 inferred relationships involving `tr()` (e.g. with `trf()` and `actionFailed()`) actually correct?** + _`tr()` has 91 INFERRED edges - model-reasoned connections that need verification._ +- **Are the 61 inferred relationships involving `push()` (e.g. with `warn()` and `ve()`) actually correct?** + _`push()` has 61 INFERRED edges - model-reasoned connections that need verification._ +- **Are the 58 inferred relationships involving `render()` (e.g. with `performUndo()` and `renderMinimap()`) actually correct?** + _`render()` has 58 INFERRED edges - model-reasoned connections that need verification._ \ No newline at end of file diff --git a/graphify-out/cache/065b91bfd18c261defa77c93c7344bd92a47fd72dec5fa4451bdb2a96bf56d2c.json b/graphify-out/cache/065b91bfd18c261defa77c93c7344bd92a47fd72dec5fa4451bdb2a96bf56d2c.json new file mode 100644 index 000000000..88ecb9c41 --- /dev/null +++ b/graphify-out/cache/065b91bfd18c261defa77c93c7344bd92a47fd72dec5fa4451bdb2a96bf56d2c.json @@ -0,0 +1 @@ +{"nodes": [{"id": "smart_canvas", "label": 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b/static/css/canvas.css index 0fbb54835..0a741a38d 100644 --- a/static/css/canvas.css +++ b/static/css/canvas.css @@ -176,6 +176,7 @@ body.canvas-board-pan * { cursor:grabbing !important; user-select:none !importan .link { stroke:var(--faint); stroke-width:2.5; fill:none; opacity:.82; pointer-events:none; } .link.temp { stroke:var(--strong); stroke-dasharray:6 6; } .link.knife-trail { stroke:#ef4444; stroke-width:2.4; stroke-dasharray:7 6; opacity:.88; filter:drop-shadow(0 0 6px rgba(239,68,68,.35)); } +.link-hover { stroke:#3b82f6; stroke-width:3.5; opacity:1; filter:drop-shadow(0 0 10px rgba(59,130,246,.55)) drop-shadow(0 0 4px rgba(59,130,246,.35)); transition:stroke .2s ease, opacity .2s ease, filter .2s ease; } .link-hit { stroke:transparent; stroke-width:18; fill:none; pointer-events:stroke; } .link-controls { position:absolute; inset:0; width:6000px; height:4000px; pointer-events:none; z-index:3; } .link-delete { position:absolute; width:22px; height:22px; border-radius:999px; display:flex; align-items:center; justify-content:center; transform:translate(-50%,-50%); color:#64748b; background:rgba(255,255,255,.94); border:1px solid #e2e8f0; box-shadow:0 8px 20px rgba(15,23,42,.12); opacity:0; pointer-events:none; transition:opacity .14s var(--ease), color .14s var(--ease), border-color .14s var(--ease), background .14s var(--ease); } @@ -586,6 +587,8 @@ input[type=range].canvas-range::-webkit-slider-runnable-track { height:3px; bord .output-spinner { width:28px; height:28px; border:3px solid #e2e8f0; border-top-color:#94a3b8; border-radius:50%; animation:spin .8s linear infinite; } .output-time-pill { position:absolute; top:7px; right:7px; min-width:38px; height:22px; padding:0 8px; border-radius:999px; display:flex; align-items:center; justify-content:center; background:rgba(17,24,39,.86); color:#fff; font-size:10px; font-weight:900; z-index:3; pointer-events:none; box-shadow:0 6px 18px rgba(15,23,42,.18); } .output-time-pill.running { background:rgba(37,99,235,.9); } +.output-source-label { position:absolute; bottom:4px; left:4px; right:28px; height:18px; padding:0 6px; border-radius:4px; display:flex; align-items:center; background:rgba(17,24,39,.78); color:#e2e8f0; font-size:9px; font-weight:600; z-index:3; pointer-events:none; white-space:nowrap; overflow:hidden; text-overflow:ellipsis; } +.output-source-sep { opacity:0.5; margin:0 2px; } @keyframes spin { to { transform:rotate(360deg); } } .port { position:absolute; top:50%; width:44px; height:44px; border-radius:50%; cursor:crosshair; transform:translateY(-50%); z-index:3; } .port::after { content:""; position:absolute; left:15px; top:15px; width:14px; height:14px; border-radius:50%; border:2px solid #fff; background:#111827; box-shadow:0 0 0 1px #94a3b8; transition:transform .14s var(--ease); } diff --git a/static/js/canvas.js b/static/js/canvas.js index b935929a6..5d6ee3885 100644 --- a/static/js/canvas.js +++ b/static/js/canvas.js @@ -241,6 +241,7 @@ let managerSelectedPromptIds = new Set(); let activeCanvasWorkflowCategoryId = ''; const activeCanvasTaskPolls = new Set(); let hoveredConnectionId = ''; +let hoveredNodeId = ''; let lastMouseBoard = {x: 0, y: 0}; let undoStack = []; const UNDO_MAX = 30; @@ -10916,6 +10917,8 @@ function requestMetaFromResult(result={}){ task_id: result.task_id || result.raw?.task_id || result.raw?.data?.task_id || (Array.isArray(result.raw?.data) ? result.raw.data[0]?.task_id : '') || '', request_id: result.request_id || result.id || result.raw?.id || '', provider_id: result.provider_id || result.params?.provider_id || '', + provider_name: result.provider_name || '', + model: result.model || result.params?.model || '', backend: result.backend || '', prompt_id: result.prompt_id || '', workflow_json: result.workflow_json || '', @@ -11240,21 +11243,22 @@ function renderOutputMedia(item, useGridLayout=false){ const grid = useGridLayout ? (meta.grid || null) : null; const gridStyle = grid ? ` style="grid-row:${Number(grid.row || 0) + 1};grid-column:${Number(grid.col || 0) + 1};aspect-ratio:${Math.max(1, Number(grid.w || 1))}/${Math.max(1, Number(grid.h || 1))}"` : ''; const timePill = meta.runMs && !meta.viewed ? `${formatRunDuration(meta.runMs)}` : ''; + const sourceLabelHtml = (meta.providerLabel || meta.modelLabel) ? `${escapeHtml(meta.providerLabel || '')}${meta.providerLabel&&meta.modelLabel?' · ':''}${escapeHtml(meta.modelLabel || '')}` : ''; if(isMissingAssetUrl(url)){ - return `
${missingAssetHtml(url, true)}${timePill}
`; + return `
${missingAssetHtml(url, true)}${timePill}${sourceLabelHtml}
`; } if(kind === 'video'){ - return `
${timePill}
VIDEO
`; + return `
${timePill}
VIDEO
${sourceLabelHtml}
`; } if(kind === 'audio'){ - return `
${escapeHtml(outputImageName(url))}
${timePill}
`; + return `
${escapeHtml(outputImageName(url))}
${timePill}${sourceLabelHtml}
`; } if(kind === 'text' || kind === 'file'){ const icon = kind === 'text' ? 'file-text' : 'file'; const label = kind === 'text' ? 'TEXT' : 'FILE'; - return `
${escapeHtml(meta.name || outputImageName(url))}${label}
${timePill}
`; + return `
${escapeHtml(meta.name || outputImageName(url))}${label}
${timePill}${sourceLabelHtml}
`; } - return `
generated output${timePill}
`; + return `
generated output${timePill}${sourceLabelHtml}
`; } function outputGridLayout(node){ const images = node?.images || []; @@ -11299,7 +11303,10 @@ function appendOutputImages(out, images, compareRef, metas=[], layout=null){ out.images = [...(out.images || []), ...list.map((url, i) => { const meta = metas[i] || metas[0] || {}; const source = url && typeof url === 'object' ? url : {}; - const item = {url:outputUrlValue(url), viewed:false, runMs:meta.runMs || 0, run:meta.run || null}; + const request = meta.run?.request || {}; + const item = {url:outputUrlValue(url), viewed:false, runMs:meta.runMs || 0, run:meta.run || null, + providerLabel: request.provider_name || runPlatformLabel(meta.run) || '', + modelLabel: request.model || meta.run?.taskLabel || runTaskLabel(meta.run) || ''}; if(source.name) item.name = source.name; if(source.kind || source.mediaKind) item.kind = source.kind || source.mediaKind; if(meta.kind) item.kind = meta.kind; @@ -12822,7 +12829,8 @@ function renderLinks(){ linkControlsEl.innerHTML = ''; connections.forEach(c => { const a = portPoint(c.from, 'out'), b = portPoint(c.to, 'in'); - linksEl.appendChild(pathEl(a.x, a.y, b.x, b.y, 'link')); + const linkClass = hoveredNodeId && (c.from === hoveredNodeId || c.to === hoveredNodeId) ? 'link link-hover' : 'link'; + linksEl.appendChild(pathEl(a.x, a.y, b.x, b.y, linkClass)); const btn = linkDeleteButton(c, a, b); linkControlsEl.appendChild(btn); linksEl.appendChild(linkHitEl(a.x, a.y, b.x, b.y, c.id)); @@ -13102,13 +13110,21 @@ board.addEventListener('mousemove', e => { const point = screenToWorld(e.clientX, e.clientY); lastMouseBoard = point; updateConnectionHoverFromMouse(e); + if(!dragNode && !resizeNode && !dragBoard && !tempLink && !knifeActive){ + const nodeEl = e.target.closest ? e.target.closest('.node') : null; + const nodeId = nodeEl?.dataset?.id || ''; + if(nodeId !== hoveredNodeId){ + hoveredNodeId = nodeId; + renderLinks(); + } + } if(canvas && knifeActive && !isEditableTarget(e.target) && !dragNode && !dragBoard && !resizeNode && !tempLink){ continueKnifeDrag(e); } else if(!e.shiftKey) { setKnifeMode(false); } }); -board.addEventListener('mouseleave', () => setHoveredConnection('')); +board.addEventListener('mouseleave', () => { setHoveredConnection(''); if(hoveredNodeId){ hoveredNodeId = ''; renderLinks(); } }); board.ondblclick = null; board.oncontextmenu = e => { if(!canvas) return;