mirror of
https://github.com/hanzoui/workflow-templates-broken-zap-2026-06-08.git
synced 2026-10-30 20:44:35 +00:00
352 lines
14 KiB
JSON
352 lines
14 KiB
JSON
[
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{
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"moduleName": "default",
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"type": "image",
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"category": null,
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"icon": null,
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"title": "Getting Started",
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"templates": [
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{
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"name": "gligen_textbox_example",
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"title": "Gligen صندوق النص",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور مع تحديد دقيق لمكان الكائنات باستخدام صناديق النص.",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/gligen/",
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"tags": ["صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 2974264852,
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"vram": 4080218931
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},
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{
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"name": "area_composition_square_area_for_subject",
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"title": "تكوين المنطقة مربع للعنصر",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور مع تموضع عنصر ثابت باستخدام تكوين المنطقة.",
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"tags": ["من نص إلى صورة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/area_composition/#increasing-consistency-of-images-with-area-composition",
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"size": 2469606195,
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"vram": 5927054868
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},
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{
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"name": "latent_upscale_different_prompt_model",
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"title": "رفع الدقة الكامنة مع نموذج ومطالبة مختلفة",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "رفع دقة الصور مع تغيير المطالبات والنماذج بين مراحل التوليد.",
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"thumbnailVariant": "zoomHover",
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"tags": ["تحسين الدقة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/2_pass_txt2img/#more-examples",
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"size": 4262755041,
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"vram": 5153960755
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},
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{
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"name": "embedding_example",
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"title": "التضمين",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور باستخدام الانعكاس النصي لتحقيق أنماط متناسقة.",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/textual_inversion_embeddings/",
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"tags": ["من نص إلى صورة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 5218385265,
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"vram": 4123168604
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},
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{
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"name": "area_composition",
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"title": "تكوين المنطقة",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور مع تحكم في التركيب باستخدام مناطق محددة.",
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"tags": ["من نص إلى صورة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/area_composition/",
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"size": 2469606195,
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"vram": 6184752906
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},
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{
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"name": "hiresfix_latent_workflow",
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"title": "رفع الدقة",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "رفع دقة الصور من خلال تحسين الجودة في الفضاء الكامن.",
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"thumbnailVariant": "compareSlider",
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"tags": ["تحسين الدقة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/2_pass_txt2img/",
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"size": 2136746230,
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"vram": 3929895076
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},
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{
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"name": "esrgan_example",
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"title": "ESRGAN",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "رفع دقة الصور باستخدام نماذج ESRGAN لتحسين الجودة.",
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"thumbnailVariant": "compareSlider",
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"tags": ["تحسين الدقة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/upscale_models/",
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"size": 2201170739,
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"vram": 6442450944
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},
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{
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"name": "hiresfix_esrgan_workflow",
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"title": "سير عمل HiresFix ESRGAN",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "رفع دقة الصور باستخدام نماذج ESRGAN خلال خطوات التوليد الوسيطة.",
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"thumbnailVariant": "compareSlider",
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"tags": ["تحسين الدقة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/2_pass_txt2img/#non-latent-upscaling",
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"size": 2201170739,
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"vram": 6442450944
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},
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{
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"name": "2_pass_pose_worship",
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"title": "ControlNet وضعيتين متتاليتين",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور موجهة بإشارات وضعية باستخدام ControlNet.",
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"thumbnailVariant": "hoverDissolve",
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"tags": ["ControlNet", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#pose-controlnet",
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"size": 4660039516,
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"vram": 6442450944
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},
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{
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"name": "depth_t2i_adapter",
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"title": "مهايئ T2I العمق",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور موجهة بمعلومات العمق باستخدام مهايئ T2I.",
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"thumbnailVariant": "hoverDissolve",
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"tags": ["ControlNet", "صورة", "من نص إلى صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#t2i-adapter-vs-controlnets",
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"size": 2523293286,
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"vram": 6442450944
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},
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{
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"name": "mixing_controlnets",
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"title": "مزج ControlNets",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور من خلال مزج نماذج متعددة من ControlNet.",
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"thumbnailVariant": "hoverDissolve",
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"tags": ["ControlNet", "صورة", "من نص إلى صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#mixing-controlnets",
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"size": 3328599654,
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"vram": 6442450944
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},
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{
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"name": "image2image",
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"title": "من صورة إلى صورة",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"thumbnailVariant": "hoverDissolve",
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"description": "تحويل الصور الموجودة باستخدام مطالبات نصية.",
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"tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/image-to-image",
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"tags": ["من صورة إلى صورة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 2136746230,
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"vram": 3092376453
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},
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{
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"name": "lora",
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"title": "LoRA",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور باستخدام نماذج LoRA لأنماط أو مواضيع متخصصة.",
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"tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/lora",
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"tags": ["من نص إلى صورة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 2437393940,
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"vram": 3092376453
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},
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{
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"name": "lora_multiple",
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"title": "LoRA متعدد",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور عبر دمج عدة نماذج LoRA.",
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"tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/lora",
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"tags": ["من نص إلى صورة", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 2437393940,
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"vram": 3350074491
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},
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{
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"name": "inpaint_model_outpainting",
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"title": "رسم خارجي",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توسيع الصور خارج حدودها الأصلية.",
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"thumbnailVariant": "compareSlider",
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"tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/inpaint",
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"tags": ["رسم خارجي", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 5218385265,
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"vram": 4101693768
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},
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{
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"name": "controlnet_example",
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"title": "ControlNet خط خربشة",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور موجهة بخطوط خربشة مرجعية باستخدام ControlNet.",
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"thumbnailVariant": "hoverDissolve",
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"tags": ["ControlNet", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/",
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"size": 3189013217,
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"vram": 6442450944
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},
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{
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"name": "depth_controlnet",
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"title": "ControlNet العمق",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد صور موجهة بمعلومات العمق باستخدام ControlNet.",
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"thumbnailVariant": "hoverDissolve",
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"tags": ["ControlNet", "صورة", "من نص إلى صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#t2i-adapter-vs-controlnets",
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"size": 2888365507,
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"vram": 6442450944
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},
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{
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"name": "inpaint_example",
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"title": "إعادة طلاء",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "تحرير أجزاء محددة من الصور بسلاسة.",
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"thumbnailVariant": "compareSlider",
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"tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/inpaint",
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"tags": ["إعادة رسم داخلي", "صورة"],
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"models": ["SD1.5", "Stability"],
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"date": "2025-03-01",
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"size": 5218385265,
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"vram": 4101693768,
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"usage": 88
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}
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]
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},
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{
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"moduleName": "default",
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"type": "video",
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"category": "نوع التوليد",
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"icon": "icon-[lucide--film]",
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"title": "فيديو",
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"templates": [
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{
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"name": "api_pika_i2v",
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"title": "Pika: من صورة إلى فيديو",
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"description": "توليد فيديوهات متحركة سلسة من صور ثابتة فردية باستخدام Pika AI.",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"tags": ["من صورة إلى فيديو", "فيديو", "API"],
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"models": ["Pika"],
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"date": "2025-03-01",
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"tutorialUrl": "",
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"openSource": false,
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"size": 0,
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"vram": 0
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},
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{
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"name": "api_pika_scene",
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"title": "Pika مشاهد: من صور إلى فيديو",
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"description": "توليد فيديوهات تدمج صور إدخال متعددة باستخدام Pika Scenes.",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"tags": ["من صورة إلى فيديو", "فيديو", "API"],
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"models": ["Pika"],
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"date": "2025-03-01",
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"tutorialUrl": "",
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"openSource": false,
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"size": 0,
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"vram": 0
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},
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{
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"name": "mochi_text_to_video_example",
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"title": "Mochi من نص إلى فيديو",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد فيديو من الأوامر النصية باستخدام موديل Mochi.",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/mochi/",
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"tags": ["من نص إلى فيديو", "فيديو"],
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"models": ["Mochi"],
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"date": "2025-03-01",
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"size": 30762703258,
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"vram": 30762703258
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},
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{
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"name": "image_to_video",
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"title": "SVD من صورة إلى فيديو",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"description": "توليد فيديو من الصور الثابتة.",
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"tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/video/#image-to-video",
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"tags": ["من صورة إلى فيديو", "فيديو"],
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"models": ["SVD", "Stability"],
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"date": "2025-03-01",
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"size": 9556302234,
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"vram": 9556302234
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}
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]
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},
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{
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"moduleName": "default",
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"type": "3d",
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"category": "نوع التوليد",
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"icon": "icon-[lucide--box]",
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"title": "نموذج ثلاثي الأبعاد",
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"templates": [
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{
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"name": "api_hunyuan3d_texture_edit",
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"title": "Hunyuan3D: 3D Texture Edit",
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"description": "Upload a 3D model and input a text prompt to edit its material texture. Generate an updated 3D model with the modified texture applied.",
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"mediaType": "image",
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"mediaSubtype": "webp",
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"tags": ["API", "نموذج ثلاثي الأبعاد"],
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"models": ["Hunyuan3D"],
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"status": "archived",
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"logos": [
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{
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"provider": "Hunyuan"
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}
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],
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"date": "2026-02-13",
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"openSource": false,
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"size": 0,
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"vram": 0,
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"usage": 0,
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"searchRank": 0
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}
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]
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}
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]
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