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    "## LTX-2.3 distillé FP8 : image vers vidéo avec le son (16 Go de VRAM)\n\nWorkflow du tuto https://super-h.fr/tutos/ltx-2-3-video-ia-locale-16-go\n\nBasé sur le template officiel ComfyUI « LTX-2.3 I2V ». Modifications :\n- checkpoint `ltx-2.3-22b-distilled-fp8.safetensors` dans les 3 loaders (checkpoint, encodeur de texte, VAE audio) ;\n- nœud LoRA distilled contourné (bypass) : inutile avec le checkpoint distillé ;\n- 8 pas, CFG 1, 720p, 25 i/s, 10 s ;\n- prompt et graine de la vidéo de la souris.\n\nImage de départ : `souris-image-depart.jpg`, à placer dans le dossier `input` de ComfyUI (ou à charger dans le nœud Load Image).\n\n## Modèles\n\n**checkpoints**\n- [ltx-2.3-22b-distilled-fp8.safetensors](https://huggingface.co/Lightricks/LTX-2.3-fp8) (29,5 Go)\n\n**text_encoders**\n- [gemma_3_12B_it_fp4_mixed.safetensors](https://huggingface.co/Comfy-Org/ltx-2) (9,5 Go)\n\n**latent_upscale_models**\n- [ltx-2.3-spatial-upscaler-x2-1.1.safetensors](https://huggingface.co/Lightricks/LTX-2.3) (1 Go)\n\nPrévoir 64 Go de RAM : le modèle est gardé en RAM et envoyé vers la VRAM pendant le calcul.\n"
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        "localized_name": "INT",
        "name": "INT",
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         543
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        "name": "text",
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        "localized_name": "CONDITIONING",
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        "type": "CONDITIONING",
        "links": [
         526
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      ],
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        "widget": {
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        "localized_name": "positive",
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         518
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       {
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         498
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       }
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         547
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        "localized_name": "latent_image",
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         536
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         560
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       "secondTabText": "Send Back",
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