LLMでプロンプト文字列を作成してFLUX.1で画像生成する

using LLama.Common;
using LLama;
using System.Text.RegularExpressions;
using HPPH;
using HPPH.System.Drawing;
using StableDiffusion.NET;

namespace ChatProgram
{
    public class Program
    {
        static void Main(string[] args)
        {
            Task task = MainAsync();
            task.Wait();
        }

        public static async Task MainAsync()
        {
            string strPath = Environment.GetEnvironmentVariable("LLMPATH", System.EnvironmentVariableTarget.User)+@"dahara1\gemma-2-27b-it-gguf-japanese-imatrix\gemma-2-27b-it.f16.Q6_k.gguf";

            string ModelPath = Environment.GetEnvironmentVariable("LLMPATH", System.EnvironmentVariableTarget.User) + @"flux\flux1-dev-Q8_0.gguf";
            string ClipPath = Environment.GetEnvironmentVariable("LLMPATH", System.EnvironmentVariableTarget.User) + @"flux\clip_l.safetensors";
            string T5xxPath = Environment.GetEnvironmentVariable("LLMPATH", System.EnvironmentVariableTarget.User) + @"flux\t5xxl_fp16.safetensors";
            string VaePath = Environment.GetEnvironmentVariable("LLMPATH", System.EnvironmentVariableTarget.User) + @"flux\ae.safetensors";

            const int intWidth = 768;
            const int intHeight = 1280;
            const float fltScale = 7f;
            const int intSteps = 21;
            const int intMax = 3;
            long lngSeed = 0;
            IImage objImage;

            Console.ForegroundColor = ConsoleColor.Blue;
            try
            {
                //stable diffusion設定
                DiffusionModel sdModel = await Task.Run(() => ModelBuilder.Flux(ModelPath, ClipPath, T5xxPath, VaePath).WithMultithreading().Build());
                //LLMの設定
                ModelParams modPara = new(strPath)
                {
                    ContextSize = 1024,
                    Seed = 1337
                };
                using LLamaWeights llmWeit = LLamaWeights.LoadFromFile(modPara);
                using LLamaContext llmContx = llmWeit.CreateContext(modPara);
                InteractiveExecutor itrEx = new(llmContx);

                ChatHistory chtHis;
                chtHis = new ChatHistory();
                chtHis.AddMessage(AuthorRole.System, "あなたは優秀なAI画像生成プロンプトエンジニアです。ユーザーが要求した内容を忠実にstable diffusion用のプロンプトに変換してください。出力の形式は、例題のようにプロンプト文字列を[]で囲ってください。 例）[(best quality, masterpiece, absurbres, super-resolution), (photorealistic,realistic:1.4)]");
                ChatSession chtSess = new(itrEx, chtHis);
                var varHidewd = new LLamaTransforms.KeywordTextOutputStreamTransform(["User:", "Assistant:"]);
                chtSess.WithOutputTransform(varHidewd);
                InferenceParams infPara = new()
                {
                    Temperature = 0.1f,
                    AntiPrompts = new List<string> { "User:" }
                };
                while (true)
                {
                    // ユーザーのターン
                    Console.ForegroundColor = ConsoleColor.White;
                    Console.Write("\nUser: ");
                    string strInput = Console.ReadLine() ?? "";
                    ChatHistory.Message msg = new(AuthorRole.User, strInput);
                    if (strInput == "exit") break; // 'exit'と入力したら終わり

                    // ＡＩのターン
                    Console.ForegroundColor = ConsoleColor.Yellow;
                    string strMsg = "";
                    await foreach (string strAns in chtSess.ChatAsync(msg, infPara))
                    {
                        Console.Write(strAns);
                        strMsg += strAns;
                    }
                    var strRegex = new Regex($"[(.+?)]").Matches(strMsg);
                    string strPrompt = strRegex[0].Value.Replace("[","").Replace("]","").Trim();
                    //string strAntiPrompt = "(worst quality:2) , (low quality:2) , (normal quality:2) , lowres, ugly face, unclear eyes, bad mouth, bad tooth, bad anatomy, extra legs, (bad fingers, bad hands, missing fingers)";
                    string strAntiPrompt = "(worst quality:2) , (low quality:2)";

                    if (strPrompt != "") //プロンプト文字が間違っていなければ
                    {
                        for (int i = 0; i < intMax; i++)
                        {
                            Console.WriteLine($"**{i+1}枚目画像生成 開始**");
                            //Seed Random
                            Random rSeed = new Random();
                            lngSeed = rSeed.Next(0, int.MaxValue);
                            DiffusionParameter parameter = sdModel.GetDefaultParameter()
                                                                                .WithNegativePrompt(strAntiPrompt)
                                                                                .WithSize(intWidth, intHeight)
                                                                                .WithSteps(intSteps)
                                                                                .WithSeed(lngSeed)
                                                                                .WithSampler(Sampler.DPMPP2Mv2)
                                                                                .WithGuidance(fltScale);

                            objImage = await Task.Run(() => sdModel?.TextToImage(strPrompt, parameter));

                            string savePath = Environment.GetEnvironmentVariable("TESTDATA", System.EnvironmentVariableTarget.User) + $"Sd{DateTime.Now.ToString("yyyyMMddhhmmssfff")}.png";
                            File.WriteAllBytes(savePath, objImage.ToPng());
                            Console.WriteLine($"**{i+1}枚目画像生成 終了**");
                        }
                    }
                }
            }
            catch (Exception ex)
            {
                Console.ForegroundColor = ConsoleColor.Red;
                Console.WriteLine(ex.ToString());
            }
        }
    }
}