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# This file is distributed under the same license as the Xinference package.
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#: ../../source/models/model_abilities/video.rst:5
msgid "Video (Experimental)"
msgstr "Vídeo (experimental)"

#: ../../source/models/model_abilities/video.rst:7
msgid "Learn how to generate videos with Xinference."
msgstr "Aprende a usar Xinference para generar videos"

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

#: ../../source/models/model_abilities/video.rst:14
msgid "The Video API provides the ability to interact with videos:"
msgstr "La API de Video proporciona una forma de interactuar con el video:"

#: ../../source/models/model_abilities/video.rst:17
msgid ""
"The text-to-video endpoint create videos from scratch based on a text "
"prompt."
msgstr ""
"El endpoint de texto a video crea un video a partir de un prompt de texto "
"desde cero."

#: ../../source/models/model_abilities/video.rst:18
msgid ""
"The image-to-video endpoint create videos from scratch based on an input "
"image."
msgstr ""
"El punto final de imagen a video crea un video desde una imagen desde cero."

#: ../../source/models/model_abilities/video.rst:19
msgid ""
"The firstlastframe-to-video endpoint creates videos based on the transition "
"between a first and a last frame."
msgstr ""
"La interfaz firstlastframe-to-video genera un video basado en la transición "
"entre el primer y el último fotograma."

#: ../../source/models/model_abilities/video.rst:39
msgid "Supported models"
msgstr "Lista de modelos compatibles"

#: ../../source/models/model_abilities/video.rst:41
msgid ""
"The text-to-video API is supported with the following models in Xinference:"
msgstr "La API de texto a video en Xinference admite los siguientes modelos:"

#: ../../source/models/model_abilities/video.rst:43
msgid ":ref:`CogVideoX-2b <models_builtin_cogvideox-2b>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:44
msgid ":ref:`CogVideoX-5b <models_builtin_cogvideox-5b>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:45
msgid ":ref:`HunyuanVideo <models_builtin_hunyuanvideo>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:46
msgid ":ref:`Wan2.1-1.3B <models_builtin_wan2.1-1.3b>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:47
msgid ":ref:`Wan2.1-14B <models_builtin_wan2.1-14b>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:49
msgid ""
"The image-to-video API is supported with the following models in Xinference:"
msgstr "La API de imagen a video en Xinference admite los siguientes modelos:"

#: ../../source/models/model_abilities/video.rst:51
msgid ":ref:`Wan2.1-i2v-14B-480p <models_builtin_wan2.1-i2v-14b-480p>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:52
msgid ":ref:`Wan2.1-i2v-14B-720p <models_builtin_wan2.1-i2v-14b-720p>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:54
msgid ""
"The firstlastframe-to-video API is supported with the following models in "
"Xinference:"
msgstr ""
"En Xinference, se admiten los siguientes modelos para usar la interfaz "
"firstlastframe-to-video:"

#: ../../source/models/model_abilities/video.rst:56
msgid ":ref:`Wan2.1-flf2v-14B-720p <models_builtin_wan2.1-flf2v-14b-720p>`"
msgstr ""

#: ../../source/models/model_abilities/video.rst:59
msgid "Quickstart"
msgstr "Guía de inicio rápido"

#: ../../source/models/model_abilities/video.rst:62
msgid "Text-to-video"
msgstr "Generación de video a partir de texto"

#: ../../source/models/model_abilities/video.rst:64
msgid ""
"You can try text-to-video API out either via cURL, or Xinference's python "
"client:"
msgstr ""
"Puedes probar a usar la API de text-to-video mediante cURL o Xinference."

#: ../../source/models/model_abilities/video.rst:91
msgid "Image-to-video"
msgstr "Traducción: **Figura a video**"

#: ../../source/models/model_abilities/video.rst:93
msgid ""
"You can try image-to-video API out either via cURL, or Xinference's python "
"client:"
msgstr "Puede probar la API de image-to-video mediante cURL o Xinference."

#: ../../source/models/model_abilities/video.rst:118
msgid "FirstLastFrame-to-video"
msgstr "Video de inicio y fin de cuadros"

#: ../../source/models/model_abilities/video.rst:120
msgid ""
"You can try firstlastframe-to-video API out either via cURL, or Xinference's"
" python client:"
msgstr ""
"Puedes probar la interfaz firstlastframe-to-video mediante cURL o el cliente"
" Python de Xinference:"

#: ../../source/models/model_abilities/video.rst:147
msgid "Memory optimization"
msgstr "Optimización de memoria"

#: ../../source/models/model_abilities/video.rst:149
msgid ""
"Video generation will occupy huge GPU memory, for instance, running "
"CogVideoX may require up to around 35 GB GPU memory."
msgstr ""
"La generación de video consume una gran cantidad de memoria de video. Por "
"ejemplo, ejecutar CogVideoX puede utilizar aproximadamente 35 GB de memoria "
"de video."

#: ../../source/models/model_abilities/video.rst:152
msgid ""
"Xinference supports several options to optimize video model memory (VRAM) "
"usage."
msgstr ""
"Xinference soporta varias opciones para optimizar el uso de la memoria de "
"video (VRAM) de los modelos de video."

#: ../../source/models/model_abilities/video.rst:154
msgid "CPU offloading or block level group offloading."
msgstr "Descarga de CPU o descarga de agrupación a nivel de bloques."

#: ../../source/models/model_abilities/video.rst:155
msgid "Layerwise casting."
msgstr "Conversión por capas (Layerwise casting)."

#: ../../source/models/model_abilities/video.rst:159
msgid ""
"CPU offloading and Block Level Group Offloading cannot be enabled at the "
"same time, but layerwise casting can be used in combination with either of "
"them."
msgstr ""
"La descarga de CPU y la descarga por agrupación a nivel de bloque no pueden "
"activarse simultáneamente, pero la conversión de tipos por capas puede "
"utilizarse junto con una de ellas."

#: ../../source/models/model_abilities/video.rst:163
msgid "CPU offloading"
msgstr "Descarga de CPU"

#: ../../source/models/model_abilities/video.rst:165
msgid ""
"CPU offloading keeps the model weights on the CPU and only loads them to the"
" GPU when a forward pass needs to be executed. It is suitable for scenarios "
"with extremely limited GPU memory, but it has a significant impact on "
"performance."
msgstr ""
"La descarga en CPU mantiene los pesos del modelo en la CPU, cargándolos a la"
" GPU solo cuando se ejecuta la propagación hacia adelante. Es adecuada para "
"escenarios con memoria de video extremadamente limitada, pero tiene un gran "
"impacto en el rendimiento."

#: ../../source/models/model_abilities/video.rst:169
msgid ""
"When running on GPU whose memory is less than 24 GB, we recommend to add "
"``--cpu_offload True`` when launching model. For Web UI, add an extra "
"option, ``cpu_offload`` with value set to ``True``."
msgstr ""
"Al usar una GPU con menos de 24 GB de memoria de video, se recomienda añadir"
" ``--cpu_offload True`` al iniciar el modelo. Para la interfaz web, puede "
"agregar la opción adicional ``cpu_offload`` con el valor ``True``."

#: ../../source/models/model_abilities/video.rst:178
msgid "Block Level Group Offloading"
msgstr "Descarga de agrupación a nivel de bloque"

#: ../../source/models/model_abilities/video.rst:180
msgid ""
"Block Level Group Offloading groups multiple internal layers of the model "
"(such as ``torch.nn.ModuleList`` or ``torch.nn.Sequential``) and loads these"
" groups from the CPU to the GPU as needed during inference. Compared to CPU "
"offloading, it uses more memory but has less impact on performance."
msgstr ""
"La descarga por bloques agrupa múltiples capas internas del modelo (como "
"``torch.nn.ModuleList`` o ``torch.nn.Sequential``) y, según sea necesario, "
"carga estos grupos desde la CPU a la GPU durante la inferencia. En "
"comparación con la descarga desde la CPU, utiliza más memoria, pero tiene un"
" menor impacto en el rendimiento."

#: ../../source/models/model_abilities/video.rst:184
msgid ""
"For the command line, add the ``--group_offload True`` option; for the Web "
"UI, add an additional option ``group_offload`` with the value set to "
"``True``."
msgstr ""
"Para la línea de comandos, agregue la opción ``--group_offload True``; para "
"la interfaz web, agregue una opción adicional ``group_offload`` con el valor"
" establecido en ``True``."

#: ../../source/models/model_abilities/video.rst:187
msgid ""
"We can speed up group offloading inference, by enabling the use of CUDA "
"streams. However, using CUDA streams requires moving the model parameters "
"into pinned memory. This allocation is handled by Pytorch under the hood, "
"and can result in a significant spike in CPU RAM usage. Please consider this"
" option if your CPU RAM is atleast 2X the size of the model you are group "
"offloading. Enable CUDA streams via adding ``--use_stream True`` for command"
" line; for the Web UI, add an additional option ``use_stream`` with the "
"value set to ``True``."
msgstr ""
"Al habilitar flujos de CUDA, podemos acelerar la inferencia de descarga por "
"grupos. Sin embargo, usar flujos de CUDA requiere mover los parámetros del "
"modelo a memoria fija. Esta asignación es manejada por PyTorch en segundo "
"plano y puede provocar un aumento significativo en el uso de RAM de la CPU. "
"Si su RAM de CPU es al menos el doble del tamaño del modelo, considere usar "
"esta opción. Habilite los flujos de CUDA agregando ``--use_stream True`` en "
"la línea de comandos; para la interfaz web, agregue una opción adicional "
"``use_stream`` con el valor ``True``."

#: ../../source/models/model_abilities/video.rst:199
msgid "Applying Layerwise Casting to the Transformer"
msgstr "Aplicar la conversión de tipo capa por capa al Transformer."

#: ../../source/models/model_abilities/video.rst:201
msgid ""
"Layerwise casting will downcast each layer’s weights to "
"``torch.float8_e4m3fn``, temporarily upcast to ``torch.bfloat16`` during the"
" forward pass of the layer, then revert to ``torch.float8_e4m3fn`` "
"afterward. This approach reduces memory requirements by approximately 50% "
"while introducing a minor quality reduction in the generated video due to "
"the precision trade-off. Enable layerwise casting via adding "
"``--layerwise_cast True`` for command line; for the Web UI, add an "
"additional option ``layerwise_cast`` with the value set to ``True``."
msgstr ""
"La conversión de tipos por capas degradará los pesos de cada capa a "
"``torch.float8_e4m3fn``, los actualizará temporalmente a ``torch.bfloat16`` "
"durante el avance de la capa, y luego los restaurará a "
"``torch.float8_e4m3fn``. Este método reduce los requisitos de memoria "
"aproximadamente en un 50%, aunque la calidad del video generado disminuirá "
"ligeramente debido a la compensación de precisión. Para habilitar la "
"conversión de tipos por capas, agregue ``--layerwise_cast True`` en la línea"
" de comandos; para la interfaz web, añada una opción adicional "
"``layerwise_cast`` con el valor ``True``."

#: ../../source/models/model_abilities/video.rst:208
msgid "This example will require 20GB of VRAM."
msgstr "Este ejemplo requerirá 20 GB de memoria de video."

#~ msgid "OpenAI-compatible ENDPOINT"
#~ msgstr ""

#~ msgid "API"
#~ msgstr ""

#~ msgid "Endpoint"
#~ msgstr ""

#~ msgid "Text-to-Video API"
#~ msgstr ""

#~ msgid "/v1/video/generations"
#~ msgstr ""

#~ msgid "Image-to-Video API"
#~ msgstr ""

#~ msgid "/v1/video/generations/image"
#~ msgstr ""
