workflow-templates-broken-zap-2026-06-08/archived/index.fr.json

[
  {
    "moduleName": "default",
    "type": "image",
    "category": null,
    "icon": null,
    "title": "Getting Started",
    "templates": [
      {
        "name": "gligen_textbox_example",
        "title": "Boîte de Texte Gligen",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images avec un placement précis d'objets en utilisant des boîtes de texte.",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/gligen/",
        "tags": ["Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 2974264852,
        "vram": 4080218931
      },
      {
        "name": "area_composition_square_area_for_subject",
        "title": "Composition Zone Carrée pour Sujet",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images avec un placement cohérent du sujet en utilisant la composition de zone.",
        "tags": ["Texte vers image", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/area_composition/#increasing-consistency-of-images-with-area-composition",
        "size": 2469606195,
        "vram": 5927054868
      },
      {
        "name": "latent_upscale_different_prompt_model",
        "title": "Modèle Upscale Latent avec Prompt Différent",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Agrandir les images tout en changeant les prompts à travers les passes de génération.",
        "thumbnailVariant": "zoomHover",
        "tags": ["Amélioration", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/2_pass_txt2img/#more-examples",
        "size": 4262755041,
        "vram": 5153960755
      },
      {
        "name": "embedding_example",
        "title": "Intégration",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images en utilisant l'inversion textuelle pour des styles cohérents.",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/textual_inversion_embeddings/",
        "tags": ["Texte vers image", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 5218385265,
        "vram": 4123168604
      },
      {
        "name": "area_composition",
        "title": "Composition de Zone",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images en contrôlant la composition avec des zones définies.",
        "tags": ["Texte vers image", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/area_composition/",
        "size": 2469606195,
        "vram": 6184752906
      },
      {
        "name": "hiresfix_latent_workflow",
        "title": "Agrandissement",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Agrandir les images en améliorant la qualité dans l'espace latent.",
        "thumbnailVariant": "compareSlider",
        "tags": ["Amélioration", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/2_pass_txt2img/",
        "size": 2136746230,
        "vram": 3929895076
      },
      {
        "name": "esrgan_example",
        "title": "ESRGAN",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Agrandir les images en utilisant les modèles ESRGAN pour améliorer la qualité.",
        "thumbnailVariant": "compareSlider",
        "tags": ["Amélioration", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/upscale_models/",
        "size": 2201170739,
        "vram": 6442450944
      },
      {
        "name": "hiresfix_esrgan_workflow",
        "title": "Workflow HiresFix ESRGAN",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Agrandir les images en utilisant les modèles ESRGAN pendant les étapes de génération intermédiaires.",
        "thumbnailVariant": "compareSlider",
        "tags": ["Amélioration", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/2_pass_txt2img/#non-latent-upscaling",
        "size": 2201170739,
        "vram": 6442450944
      },
      {
        "name": "2_pass_pose_worship",
        "title": "Pose ControlNet 2 Passes",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images guidées par des références de pose en utilisant ControlNet.",
        "thumbnailVariant": "hoverDissolve",
        "tags": ["ControlNet", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#pose-controlnet",
        "size": 4660039516,
        "vram": 6442450944
      },
      {
        "name": "depth_t2i_adapter",
        "title": "Adaptateur T2I Profondeur",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images guidées par les informations de profondeur en utilisant l'adaptateur T2I.",
        "thumbnailVariant": "hoverDissolve",
        "tags": ["ControlNet", "Image", "Texte vers image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#t2i-adapter-vs-controlnets",
        "size": 2523293286,
        "vram": 6442450944
      },
      {
        "name": "mixing_controlnets",
        "title": "Mélange ControlNets",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images en combinant plusieurs modèles ControlNet.",
        "thumbnailVariant": "hoverDissolve",
        "tags": ["ControlNet", "Image", "Texte vers image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#mixing-controlnets",
        "size": 3328599654,
        "vram": 6442450944
      },
      {
        "name": "image2image",
        "title": "Image vers Image",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Transformer des images existantes en utilisant des prompts textuels.",
        "tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/image-to-image",
        "tags": ["Image vers image", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 2136746230,
        "vram": 3092376453,
        "thumbnailVariant": "hoverDissolve"
      },
      {
        "name": "lora",
        "title": "LoRA",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images avec des modèles LoRA pour des styles ou sujets spécialisés.",
        "tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/lora",
        "tags": ["Texte vers image", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 2437393940,
        "vram": 3092376453
      },
      {
        "name": "lora_multiple",
        "title": "LoRA Multiple",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images en combinant plusieurs modèles LoRA.",
        "tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/lora",
        "tags": ["Texte vers image", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 2437393940,
        "vram": 3350074491
      },
      {
        "name": "inpaint_model_outpainting",
        "title": "Outpainting",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Étendre les images au-delà de leurs limites d'origine.",
        "thumbnailVariant": "compareSlider",
        "tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/inpaint",
        "tags": ["Outpainting", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 5218385265,
        "vram": 4101693768
      },
      {
        "name": "controlnet_example",
        "title": "Scribble ControlNet",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images guidées par des images de référence griffonnées en utilisant ControlNet.",
        "thumbnailVariant": "hoverDissolve",
        "tags": ["ControlNet", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/",
        "size": 3189013217,
        "vram": 6442450944
      },
      {
        "name": "depth_controlnet",
        "title": "Profondeur ControlNet",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des images guidées par les informations de profondeur en utilisant ControlNet.",
        "thumbnailVariant": "hoverDissolve",
        "tags": ["ControlNet", "Image", "Texte vers image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/controlnet/#t2i-adapter-vs-controlnets",
        "size": 2888365507,
        "vram": 6442450944
      },
      {
        "name": "inpaint_example",
        "title": "Réparer",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Éditer des parties spécifiques d'images de manière transparente.",
        "thumbnailVariant": "compareSlider",
        "tutorialUrl": "https://docs.hanzo.ai/tutorials/basic/inpaint",
        "tags": ["Inpainting", "Image"],
        "models": ["SD1.5", "Stability"],
        "date": "2025-03-01",
        "size": 5218385265,
        "vram": 4101693768,
        "usage": 88
      }
    ]
  },
  {
    "moduleName": "default",
    "type": "video",
    "category": "Type de génération",
    "icon": "icon-[lucide--film]",
    "title": "Vidéo",
    "templates": [
      {
        "name": "api_pika_i2v",
        "title": "Pika: Image vers Vidéo",
        "description": "Generate smooth animated videos from single static images using Pika AI.",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "tags": ["Image vers vidéo", "Vidéo", "API"],
        "models": ["Pika"],
        "date": "2025-03-01",
        "tutorialUrl": "",
        "openSource": false,
        "size": 0,
        "vram": 0
      },
      {
        "name": "api_pika_scene",
        "title": "Pika Scenes: Images vers Vidéo",
        "description": "Generate videos that incorporate multiple input images using Pika Scenes.",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "tags": ["Image vers vidéo", "Vidéo", "API"],
        "models": ["Pika"],
        "date": "2025-03-01",
        "tutorialUrl": "",
        "openSource": false,
        "size": 0,
        "vram": 0
      },
      {
        "name": "mochi_text_to_video_example",
        "title": "Mochi Texte vers Vidéo",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des vidéos à partir de prompts textuels en utilisant le modèle Mochi.",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/mochi/",
        "tags": ["Texte vers vidéo", "Vidéo"],
        "models": ["Mochi"],
        "date": "2025-03-01",
        "size": 30762703258,
        "vram": 30762703258
      },
      {
        "name": "image_to_video",
        "title": "SVD Image vers Vidéo",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "description": "Générer des vidéos à partir d'images fixes.",
        "tutorialUrl": "https://hanzoai.github.io/HanzoStudio_examples/video/#image-to-video",
        "tags": ["Image vers vidéo", "Vidéo"],
        "models": ["SVD", "Stability"],
        "date": "2025-03-01",
        "size": 9556302234,
        "vram": 9556302234
      }
    ]
  },
  {
    "moduleName": "default",
    "type": "3d",
    "category": "Type de génération",
    "icon": "icon-[lucide--box]",
    "title": "Modèle 3D",
    "templates": [
      {
        "name": "api_hunyuan3d_texture_edit",
        "title": "Hunyuan3D: 3D Texture Edit",
        "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.",
        "mediaType": "image",
        "mediaSubtype": "webp",
        "tags": ["API", "Modèle 3D"],
        "models": ["Hunyuan3D"],
        "status": "archived",
        "logos": [
          {
            "provider": "Hunyuan"
          }
        ],
        "date": "2026-02-13",
        "openSource": false,
        "size": 0,
        "vram": 0,
        "usage": 0,
        "searchRank": 0
      }
    ]
  }
]