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# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2024.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
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"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
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"Plural-Forms: nplurals=2; plural=(n > 1);\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/models/model_abilities/image.rst:5
msgid "Images"
msgstr "Image"

#: ../../source/models/model_abilities/image.rst:7
msgid "Learn how to generate images with Xinference."
msgstr "Apprenez à utiliser Xinference pour générer des images."

#: ../../source/models/model_abilities/image.rst:11
msgid "Introduction"
msgstr "Introduction"

#: ../../source/models/model_abilities/image.rst:14
msgid "The Images API provides two methods for interacting with images:"
msgstr "L'API Images propose deux méthodes pour interagir avec les images :"

#: ../../source/models/model_abilities/image.rst:17
msgid ""
"The Text-to-image endpoint create images from scratch based on a text "
"prompt."
msgstr ""
"L'point de terminaison texte-vers-image crée des images à partir de zéro "
"selon le texte."

#: ../../source/models/model_abilities/image.rst:18
msgid ""
"The Image-to-image endpoint allows you to generate a variation of a given "
"image."
msgstr ""
"Le point de terminaison image-à-image vous permet de générer des variantes "
"d'une image donnée."

#: ../../source/models/model_abilities/image.rst:25
msgid "API ENDPOINT"
msgstr "Point de terminaison API"

#: ../../source/models/model_abilities/image.rst:26
msgid "OpenAI-compatible ENDPOINT"
msgstr "Point de terminaison compatible OpenAI"

#: ../../source/models/model_abilities/image.rst:28
msgid "Text-to-Image API"
msgstr ""

#: ../../source/models/model_abilities/image.rst:29
msgid "/v1/images/generations"
msgstr ""

#: ../../source/models/model_abilities/image.rst:31
msgid "Image-to-image API"
msgstr ""

#: ../../source/models/model_abilities/image.rst:32
msgid "/v1/images/variations"
msgstr ""

#: ../../source/models/model_abilities/image.rst:35
msgid "Supported models"
msgstr "Liste des modèles supportés"

#: ../../source/models/model_abilities/image.rst:37
msgid ""
"The Text-to-image API is supported with the following models in Xinference:"
msgstr ""
"L'API texte-à-image prend en charge les modèles suivants dans Xinference :"

#: ../../source/models/model_abilities/image.rst:39
msgid "sd-turbo"
msgstr ""

#: ../../source/models/model_abilities/image.rst:40
msgid "sdxl-turbo"
msgstr ""

#: ../../source/models/model_abilities/image.rst:41
msgid "stable-diffusion-v1.5"
msgstr ""

#: ../../source/models/model_abilities/image.rst:42
msgid "stable-diffusion-xl-base-1.0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:43
#: ../../source/models/model_abilities/image.rst:213
msgid "sd3-medium"
msgstr ""

#: ../../source/models/model_abilities/image.rst:44
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:252
msgid "sd3.5-medium"
msgstr ""

#: ../../source/models/model_abilities/image.rst:45
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:254
msgid "sd3.5-large"
msgstr ""

#: ../../source/models/model_abilities/image.rst:46
#: ../../source/models/model_abilities/image.rst:219
#: ../../source/models/model_abilities/image.rst:256
msgid "sd3.5-large-turbo"
msgstr ""

#: ../../source/models/model_abilities/image.rst:47
#: ../../source/models/model_abilities/image.rst:211
#: ../../source/models/model_abilities/image.rst:250
msgid "FLUX.1-schnell"
msgstr ""

#: ../../source/models/model_abilities/image.rst:48
#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:248
msgid "FLUX.1-dev"
msgstr ""

#: ../../source/models/model_abilities/image.rst:49
msgid "Kolors"
msgstr ""

#: ../../source/models/model_abilities/image.rst:50
msgid "hunyuandit-v1.2"
msgstr ""

#: ../../source/models/model_abilities/image.rst:51
msgid "hunyuandit-v1.2-distilled"
msgstr ""

#: ../../source/models/model_abilities/image.rst:52
msgid "cogview4"
msgstr ""

#: ../../source/models/model_abilities/image.rst:53
#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:258
#: ../../source/models/model_abilities/image.rst:292
msgid "Qwen-Image"
msgstr ""

#: ../../source/models/model_abilities/image.rst:55
msgid "Image-to-image supported models:"
msgstr "Liste des modèles pris en charge"

#: ../../source/models/model_abilities/image.rst:57
msgid "Flux.1-Kontext-dev"
msgstr ""

#: ../../source/models/model_abilities/image.rst:58
#: ../../source/models/model_abilities/image.rst:223
#: ../../source/models/model_abilities/image.rst:260
#: ../../source/models/model_abilities/image.rst:294
msgid "Qwen-Image-Edit"
msgstr ""

#: ../../source/models/model_abilities/image.rst:62
msgid "Quickstart"
msgstr "Démarrage rapide"

#: ../../source/models/model_abilities/image.rst:65
msgid "Text-to-image"
msgstr "Texte à image"

#: ../../source/models/model_abilities/image.rst:67
msgid ""
"The Text-to-image API mimics OpenAI's `create images API "
"<https://platform.openai.com/docs/api-reference/images/create>`_. We can try"
" Text-to-image API out either via cURL, OpenAI Client, or Xinference's "
"python client:"
msgstr ""
"Vous pouvez essayer d'utiliser l'API Text-to-image via cURL, OpenAI Client "
"ou Xinference."

#: ../../source/models/model_abilities/image.rst:121
msgid "Image-to-image"
msgstr "Génération d'image à partir d'image"

#: ../../source/models/model_abilities/image.rst:123
msgid ""
"The Image-to-image API mimics OpenAI's `create image variation API "
"<https://platform.openai.com/docs/api-reference/images/createVariation>`_. "
"We can try image-to-image API out either via cURL, OpenAI Client, or "
"Xinference's python client:"
msgstr ""
"L'API image-à-image simule l'API de création de variantes d'images d'OpenAI "
"<https://platform.openai.com/docs/api-reference/images/createVariation>. "
"Nous pouvons essayer d'utiliser l'API image-à-image via cURL, le client "
"OpenAI ou le client Python de Xinference."

#: ../../source/models/model_abilities/image.rst:176
msgid "Memory optimization for Large Image Models e.g. SD3-Medium, FLUX.1"
msgstr ""
"Optimisation mémoire des grands modèles d'images (par exemple SD3-Medium, "
"FLUX.1)"

#: ../../source/models/model_abilities/image.rst:180
msgid ""
"From v0.16.1, Xinference by default enabled quantization for large image "
"models like Flux.1 and SD3.5 series. So if your Xinference version is newer "
"than v0.16.1, You barely need to do anything to run those large image models"
" on GPUs with small memory."
msgstr ""
"À partir de la v0.16.1, Xinference active par défaut la quantification pour "
"les grands modèles d'images tels que les séries Flux.1 et SD3.5. Si vous "
"utilisez une version de Xinference plus récente que la v0.16.1, vous n'avez "
"rien à faire pour exécuter ces grands modèles d'images sur une machine avec "
"une petite mémoire GPU."

#: ../../source/models/model_abilities/image.rst:185
msgid "Useful extra parameters can be passed to launch including:"
msgstr ""
"Les paramètres supplémentaires utiles passés au modèle de chargement "
"incluent :"

#: ../../source/models/model_abilities/image.rst:187
msgid ""
"``--cpu_offload True``: specifying ``True`` will offload the components of "
"the model to CPU during inference in order to save memory, while seeing a "
"slight increase in inference latency. Model offloading will only move a "
"model component onto the GPU when it needs to be executed, while keeping the"
" remaining components on the CPU."
msgstr ""
"``--cpu_offload True`` : spécifier ``True`` déchargera les composants du "
"modèle vers le CPU pendant l'inférence pour économiser de la mémoire, ce qui"
" entraînera une légère augmentation de la latence de l'inférence. Le "
"déchargement du modèle déplace uniquement les composants du modèle vers le "
"GPU lorsqu'ils doivent être exécutés, tout en maintenant le reste des "
"composants sur le CPU."

#: ../../source/models/model_abilities/image.rst:191
msgid ""
"``--quantize_text_encoder <text encoder layer>``: We leveraged the "
"``bitsandbytes`` library to load and quantize the T5-XXL text encoder to "
"8-bit precision. This allows you to keep using all text encoders while only "
"slightly impacting performance."
msgstr ""
"``--quantize_text_encoder <text encoder layer>`` : nous utilisons la "
"bibliothèque ``bitsandbytes`` pour charger et quantifier le codeur textuel "
"T5-XXL avec une précision de 8 bits. Cela vous permet de continuer à "
"utiliser l'intégralité du codeur textuel avec un impact minime sur les "
"performances."

#: ../../source/models/model_abilities/image.rst:194
msgid ""
"``--text_encoder_3 None``, for sd3-medium, removing the memory-intensive "
"4.7B parameter T5-XXL text encoder during inference can significantly "
"decrease the memory requirements with only a slight loss in performance."
msgstr ""
"``--text_encoder_3 None``, pour sd3-medium, supprimer l'encodeur de texte "
"T5-XXL de 4,7 milliards de paramètres, gourmand en mémoire lors de "
"l'inférence, peut réduire considérablement les besoins en mémoire, avec "
"seulement une légère perte de performance."

#: ../../source/models/model_abilities/image.rst:197
msgid "``--transformer_nf4 True``: use nf4 for transformer quantization."
msgstr ""
"``--transformer_nf4 True`` ：utiliser la quantification nf4 pour le "
"transformateur."

#: ../../source/models/model_abilities/image.rst:198
msgid ""
"``--quantize``: Only work for MLX on Mac, Flux.1-dev and Flux.1-schnell will"
" switch to MLX engine on Mac, and ``quantize`` can be used to quantize the "
"model."
msgstr ""
"``--quantize`` : n'affecte que le moteur MLX sur Mac. Flux.1-dev et "
"Flux.1-schnell utilisent le moteur MLX pour les calculs sur Mac, et "
"``quantize`` peut être utilisé pour quantifier le modèle."

#: ../../source/models/model_abilities/image.rst:201
msgid ""
"For WebUI, Just add additional parameters, e.g. add key ``cpu_offload`` and "
"value ``True`` to enable cpu offloading."
msgstr ""
"Pour le WebUI, il suffit d'ajouter des paramètres supplémentaires, par "
"exemple, ajouter la clé ``cpu_offload`` avec la valeur ``True`` pour activer"
" le déchargement CPU."

#: ../../source/models/model_abilities/image.rst:204
msgid "Below list default options that used from v0.16.1."
msgstr ""
"Les paramètres utilisés par défaut depuis la v0.16.1 sont listés ci-dessous."

#: ../../source/models/model_abilities/image.rst:207
#: ../../source/models/model_abilities/image.rst:246
#: ../../source/models/model_abilities/image.rst:290
msgid "Model"
msgstr "Modèle"

#: ../../source/models/model_abilities/image.rst:207
msgid "quantize_text_encoder"
msgstr ""

#: ../../source/models/model_abilities/image.rst:207
msgid "quantize"
msgstr ""

#: ../../source/models/model_abilities/image.rst:207
msgid "transformer_nf4"
msgstr ""

#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:211
msgid "text_encoder_2"
msgstr ""

#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:211
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:219
msgid "True"
msgstr ""

#: ../../source/models/model_abilities/image.rst:209
#: ../../source/models/model_abilities/image.rst:211
#: ../../source/models/model_abilities/image.rst:213
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:223
msgid "False"
msgstr ""

#: ../../source/models/model_abilities/image.rst:213
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:219
msgid "text_encoder_3"
msgstr ""

#: ../../source/models/model_abilities/image.rst:213
#: ../../source/models/model_abilities/image.rst:215
#: ../../source/models/model_abilities/image.rst:217
#: ../../source/models/model_abilities/image.rst:219
#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:223
msgid "N/A"
msgstr ""

#: ../../source/models/model_abilities/image.rst:221
#: ../../source/models/model_abilities/image.rst:223
msgid "text_encoder"
msgstr ""

#: ../../source/models/model_abilities/image.rst:228
msgid ""
"If you want to disable some quantization, just set the corresponding option "
"to False. e.g. for Web UI, set key ``quantize_text_encoder`` and value "
"``False`` and for command line, specify ``--quantize_text_encoder False`` to"
" disable quantization for text encoder."
msgstr ""
"Si vous souhaitez désactiver certaines quantifications, il suffit de définir"
" l'option correspondante sur False. Par exemple, pour l'interface Web UI, "
"définissez la clé ``quantize_text_encoder`` et la valeur ``False``, ou pour "
"la ligne de commande, spécifiez ``--quantize_text_encoder False`` pour "
"désactiver la quantification du text encoder."

#: ../../source/models/model_abilities/image.rst:233
msgid ""
"For :ref:`CogView4 <models_builtin_cogview4>`, we found that quantization "
"has a significant impact on the model. Therefore, when GPU memory is "
"limited, we recommend enabling the CPU offload option in the Web UI, and "
"specifying ``--cpu_offload True`` when loading the model via the command "
"line."
msgstr ""
"Pour :ref:`CogView4 <models_builtin_cogview4>`, nous avons constaté que la "
"quantification a un impact important sur le modèle. Par conséquent, lorsque "
"la mémoire vidéo est limitée, nous recommandons d'activer l'option CPU "
"offload dans l'interface Web UI, et de spécifier ``--cpu_offload True`` lors"
" du chargement du modèle en ligne de commande."

#: ../../source/models/model_abilities/image.rst:238
msgid "GGUF file format"
msgstr "Format de fichier GGUF"

#: ../../source/models/model_abilities/image.rst:240
msgid ""
"GGUF file format for transformer provides various quantization options. To "
"use gguf file, you can specify additional option ``gguf_quantization`` for "
"web UI, or ``--gguf_quantization`` for command line for those image models "
"which support internally by Xinference. Below is the mode list."
msgstr ""
"Le format de fichier GGUF offre une multitude d'options de quantification "
"pour le module transformer. Pour utiliser un fichier GGUF, vous pouvez "
"spécifier l'option supplémentaire ``gguf_quantization`` dans l'interface "
"Web, ou ``--gguf_quantization`` en ligne de commande, afin d'activer la "
"quantification GGUF pour les modèles pris en charge nativement par "
"Xinference. Voici les modèles pris en charge intégrés."

#: ../../source/models/model_abilities/image.rst:246
msgid "supported gguf quantization"
msgstr "Prend en charge le format de quantification GGUF"

#: ../../source/models/model_abilities/image.rst:248
#: ../../source/models/model_abilities/image.rst:250
msgid "F16, Q2_K, Q3_K_S, Q4_0, Q4_1, Q4_K_S, Q5_0, Q5_1, Q5_K_S, Q6_K, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:252
#: ../../source/models/model_abilities/image.rst:258
msgid ""
"F16, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K_M, Q5_K_S,"
" Q6_K, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:254
#: ../../source/models/model_abilities/image.rst:256
msgid "F16, Q4_0, Q4_1, Q5_0, Q5_1, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:260
#: ../../source/models/model_abilities/image.rst:262
msgid ""
"Q2_K, Q3_K_M, Q3_K_S, Q4_0, Q4_1, Q4_K_M, Q4_K_S, Q5_0, Q5_1, Q5_K_M, "
"Q5_K_S, Q6_K, Q8_0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:262
#: ../../source/models/model_abilities/image.rst:296
msgid "Qwen-Image-Edit-2509"
msgstr ""

#: ../../source/models/model_abilities/image.rst:267
msgid ""
"We stronly recommend to enable additional option ``cpu_offload`` with value "
"``True`` for WebUI, or specify ``--cpu_offload True`` for command line."
msgstr ""
"Nous recommandons fortement d'activer l'option supplémentaire "
"``cpu_offload`` dans l'interface WebUI en la définissant sur ``True``, ou, "
"pour la ligne de commande, de spécifier ``--cpu_offload True``."

#: ../../source/models/model_abilities/image.rst:270
msgid "Example:"
msgstr "Par exemple :"

#: ../../source/models/model_abilities/image.rst:276
msgid ""
"With ``Q2_K`` quantization, you only need around 5 GiB GPU memory to run "
"Flux.1-dev."
msgstr ""
"Avec la quantification ``Q2_K``, vous n'avez besoin que d'environ 5 Go de "
"mémoire vidéo pour exécuter Flux.1-dev."

#: ../../source/models/model_abilities/image.rst:278
msgid ""
"For those models gguf options are not supported internally, or you want to "
"download gguf files on you own, you can specify additional option "
"``gguf_model_path`` for web UI or spcecify ``--gguf_model_path "
"/path/to/model_quant.gguf`` for command line."
msgstr ""
"Pour les modèles qui ne prennent pas en charge la quantification GGUF "
"nativement, ou si vous souhaitez télécharger vous-même un fichier GGUF, vous"
" pouvez spécifier l'option supplémentaire ``gguf_model_path`` dans "
"l'interface Web UI ou utiliser la ligne de commande avec ``--gguf_model_path"
" /path/to/model_quant.gguf``."

#: ../../source/models/model_abilities/image.rst:283
msgid "Lightning LORA Support"
msgstr "Lightning LORA prend en charge"

#: ../../source/models/model_abilities/image.rst:285
msgid ""
"Lightning LORA performs distillation on models in the form of LoRA, reducing"
" the number of inference steps while maintaining model performance, and "
"significantly speeding up inference. The following models currently support "
"this LoRA:"
msgstr ""
"Lightning LORA distille le modèle sous forme de LoRA, réduisant le nombre "
"d'étapes d'inférence tout en maintenant les performances du modèle et en "
"augmentant considérablement la vitesse d'inférence. Les modèles suivants "
"prennent actuellement en charge ce LoRA :"

#: ../../source/models/model_abilities/image.rst:290
msgid "Supported lightning version"
msgstr "Version Lightning prise en charge"

#: ../../source/models/model_abilities/image.rst:292
msgid ""
"4steps-V1.0-bf16, 4steps-V1.0, 8steps-V1.0, 8steps-V1.1-bf16, 8steps-V1.1"
msgstr ""

#: ../../source/models/model_abilities/image.rst:294
msgid "4steps-V1.0-bf16, 4steps-V1.0, 8steps-V1.0-bf16, 8steps-V1.0"
msgstr ""

#: ../../source/models/model_abilities/image.rst:296
msgid "4steps-V1.0-bf16, 4steps-V1.0-fp32, 8steps-V1.0-bf16, 8steps-V1.0-fp32"
msgstr ""

#: ../../source/models/model_abilities/image.rst:299
msgid ""
"4 steps or 8 steps refer to the inference steps (``num_inference_steps``). "
"When ``lightning_version`` is specified, Xinference will automatically set "
"the number of inference steps."
msgstr ""
"4 étapes ou 8 étapes fait référence au nombre d'étapes d'inférence "
"(``num_inference_steps``). Lorsque ``lightning_version`` est spécifié, "
"Xinference définit automatiquement le nombre d'étapes d'inférence."

#: ../../source/models/model_abilities/image.rst:302
msgid ""
"When using it, select the lightning version in the interface, or specify it "
"via the command line."
msgstr ""
"Lors de l'utilisation, vous pouvez sélectionner la version Lightning dans "
"l'interface ou la spécifier via la ligne de commande."

#: ../../source/models/model_abilities/image.rst:308
msgid "Use the command line with ``--lightning_version <version>``."
msgstr ""
"Dans la ligne de commande, utilisez ``--lightning_version <version>``."

#: ../../source/models/model_abilities/image.rst:310
msgid ""
"For those who have downloaded the lightning LoRA files themselves, you can "
"specify them via the Lightning Model Path in the interface or by using the "
"command line option ``--lightning_model_path``."
msgstr ""
"Pour les utilisateurs qui ont téléchargé eux-mêmes le fichier LoRA "
"lightning, ils peuvent le spécifier dans l'interface via Lightning Model "
"Path, ou utiliser le paramètre de ligne de commande "
"``--lightning_model_path``."

#: ../../source/models/model_abilities/image.rst:313
msgid ""
"For example, using ``4steps-V1.0``, the inference time is reduced from the "
"original 34s to 3s."
msgstr ""
"Par exemple, en utilisant ``4steps-V1.0``, le temps d'inférence est passé de"
" 34 secondes à 3 secondes."

#: ../../source/models/model_abilities/image.rst:316
msgid "OCR"
msgstr ""

#: ../../source/models/model_abilities/image.rst:318
msgid "The OCR API accepts image bytes and returns the OCR text."
msgstr "L'API OCR accepte les octets d'une image et retourne le texte OCR."

#: ../../source/models/model_abilities/image.rst:320
msgid "We can try OCR API out either via cURL, or Xinference's python client:"
msgstr ""
"Vous pouvez essayer l'API OCR via cURL ou le client Python de Xinference."

#~ msgid "You can find more examples of Images API in the tutorial notebook:"
#~ msgstr ""
#~ "Vous pouvez trouver plus d'exemples de l'API Images dans le carnet de "
#~ "tutoriel."

#~ msgid "Stable Diffusion ControlNet"
#~ msgstr ""

#~ msgid "Learn from a Stable Diffusion ControlNet example"
#~ msgstr "Apprenez un exemple de réseau de contrôle Stable Diffusion."
