CivArchive
    Flux_aodai_SD_chiasedamme_v03 full - v3.0
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    Model Lora aoDaiVietnameseLong_v03 full style color is a version of a model designed for the recognition and classification of traditional long Vietnamese ao dai. This model has been developed to identify and categorize different styles of Vietnamese ao dai based on images. It can classify Vietnamese ao dai based on factors such as style, color, patterns, and other details.

    Model Lora aoDaiVietnameseLong_v03 has been trained on a large dataset containing thousands of images of traditional long Vietnamese ao dai from various angles and styles. Through the training process, the model has learned important characteristics of Vietnamese ao dai and has the ability to recognize different patterns and classify them into corresponding labels.

    With Model Lora aoDaiVietnameseLong_v03, you can utilize it in applications related to Vietnamese ao dai, such as:

    1. Ao dai classification: The model can determine the style, color, and patterns of Vietnamese ao dai based on images. This can support automated classification, sorting, and searching of ao dai in online stores or personal collections.

    2. Style suggestions: If you want to create a diverse collection of Vietnamese ao dai, the model can suggest different ao dai patterns based on an input image. This can help users explore and choose suitable ao dai styles according to their preferences and personal style.

    3. Fashion advice: Model Lora aoDaiVietnameseLong_v03 can be used in fashion advisory applications, where it can evaluate a user's ao dai image and recommend ao dai styles that complement their body shape, skin color, and personal preferences.

    Model Lora aoDaiVietnameseLong_v03 brings convenience in recognizing and classifying traditional long Vietnamese ao dai, contributing to the exploration and preservation of Vietnam's traditional culture in the fashion industry.

    Description

    Model Lora aoDaiVietnameseLong_v03 full style color is a version of a model designed for the recognition and classification of traditional long Vietnamese ao dai. This model has been developed to identify and categorize different styles of Vietnamese ao dai based on images. It can classify Vietnamese ao dai based on factors such as style, color, patterns, and other details.

    Model Lora aoDaiVietnameseLong_v03 has been trained on a large dataset containing thousands of images of traditional long Vietnamese ao dai from various angles and styles. Through the training process, the model has learned important characteristics of Vietnamese ao dai and has the ability to recognize different patterns and classify them into corresponding labels.

    With Model Lora aoDaiVietnameseLong_v03, you can utilize it in applications related to Vietnamese ao dai, such as:

    1. Ao dai classification: The model can determine the style, color, and patterns of Vietnamese ao dai based on images. This can support automated classification, sorting, and searching of ao dai in online stores or personal collections.

    2. Style suggestions: If you want to create a diverse collection of Vietnamese ao dai, the model can suggest different ao dai patterns based on an input image. This can help users explore and choose suitable ao dai styles according to their preferences and personal style.

    3. Fashion advice: Model Lora aoDaiVietnameseLong_v03 can be used in fashion advisory applications, where it can evaluate a user's ao dai image and recommend ao dai styles that complement their body shape, skin color, and personal preferences.

    Model Lora aoDaiVietnameseLong_v03 brings convenience in recognizing and classifying traditional long Vietnamese ao dai, contributing to the exploration and preservation of Vietnam's traditional culture in the fashion industry.

    Details

    Downloads
    136
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/24/2024
    Updated
    9/30/2025
    Deleted
    -
    Trigger Words:
    aodai

    Files

    flux_lora_aodaivnv3.safetensors

    Mirrors

    Huggingface (1 mirrors)
    Other Platforms (TensorArt, SeaArt, etc.) (1 mirrors)