【大模型部署】在C# Winform中使用文生图Stable Diffusion XL 模型

前言

整了一个在C# Winform中调用文生图Stable Diffusion XL的小程序，基于百度智能云千帆平台

步骤

1. 如何注册百度智能云和创建应用，获取API 密钥等和在之前的博客中基本相同，不再赘述了
   【大模型部署】在C# Winform中使用文心一言ERNIE-3.5 4K 聊天模型
2. 代码接入

步骤1-注册百度智能云

https://console.bce.baidu.com/qianfan/ais/console/applicationConsole/application
按提示注册即可

代码接入

定义AK和SK

// 您的AccessKey ID
const string API_KEY = "qSXXXXXXXXXXXXXXXXQ";
// 您的AccessKey Secret
const string SECRET_KEY = "Kb8XXXXXXXXXXXXXXXXXX24ZH";

定义发送和回传的数据结构

public class ImageGenerationRequest
{
        public string Prompt { get; set; }
        public string Size { get; set; }
        public int N { get; set; }
        public int Steps { get; set; }
        public string SamplerIndex { get; set; }
}
ImageGenerationRequest imageGenerationRequest = new ImageGenerationRequest();

public class ImageData
{
        [JsonProperty("id")]
        public string Id { get; set; }
        [JsonProperty("object")]
        public string Object { get; set; }
        [JsonProperty("created")]
        public long Created { get; set; }
        [JsonProperty("data")]
        public ImageDataDetail[] Data { get; set; }
        [JsonProperty("usage")]
        public Usage Usage { get; set; }
}

// 嵌套的Image数据类  
public class ImageDataDetail
{
        [JsonProperty("object")]
        public string Object { get; set; }
        [JsonProperty("b64_image")]
        public string B64Image { get; set; } // 这里假设Base64字符串可能很长，因此使用string类型  
        [JsonProperty("index")]
        public int Index { get; set; }
}

// 使用类  
public class Usage
{
        [JsonProperty("prompt_tokens")]
        public int PromptTokens { get; set; }
        [JsonProperty("total_tokens")]
        public int TotalTokens { get; set; }
}

定义生成函数

private ImageData Generate(ImageGenerationRequest generationRequest)
{
        var client = new RestClient($"https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/text2image/sd_xl?access_token={GetAccessTokenMethod()}");
        client.Timeout = -1;
        var request = new RestRequest(Method.POST);
        request.AddHeader("Content-Type", "application/json");
        request.AddHeader("Accept", "application/json");
        var body = JsonConvert.SerializeObject(generationRequest, Formatting.None);
        //var body = @"{""prompt"":""棕色小熊"",""size"":""768x768"",""n"":1,""steps"":20,""sampler_index"":""Euler a""}";
        request.AddParameter("application/json", body, ParameterType.RequestBody);
        IRestResponse response = client.Execute(request);
        ImageData? result = JsonConvert.DeserializeObject<ImageData>(response.Content);
        return result;
}

完整代码

完整代码