【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
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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