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using System.Diagnostics.CodeAnalysis;
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using System.Text.Json.Serialization;
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using System.Text.RegularExpressions;
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using StabilityMatrix.Core.Models.Api.Comfy;
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namespace StabilityMatrix.Core.Models;
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[JsonSerializable(typeof(GenerationParameters))]
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public partial record GenerationParameters
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{
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public string? PositivePrompt { get; set; }
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public string? NegativePrompt { get; set; }
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public int Steps { get; set; }
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public string? Sampler { get; set; }
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public double CfgScale { get; set; }
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public ulong Seed { get; set; }
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public int Height { get; set; }
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public int Width { get; set; }
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public string? ModelHash { get; set; }
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public string? ModelName { get; set; }
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public static bool TryParse(
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string? text,
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[NotNullWhen(true)] out GenerationParameters? generationParameters
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)
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{
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if (string.IsNullOrWhiteSpace(text))
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{
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generationParameters = null;
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return false;
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}
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var lines = text.Split('\n');
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if (lines.LastOrDefault() is not { } lastLine)
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{
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generationParameters = null;
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return false;
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}
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if (lastLine.StartsWith("Steps:") != true)
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{
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lines = text.Split("\r\n");
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lastLine = lines.LastOrDefault() ?? string.Empty;
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if (lastLine.StartsWith("Steps:") != true)
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{
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generationParameters = null;
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return false;
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}
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}
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// Join lines before last line, split at 'Negative prompt: '
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var joinedLines = string.Join("\n", lines[..^1]);
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var splitFirstPart = joinedLines.Split("Negative prompt: ");
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if (splitFirstPart.Length != 2)
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{
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generationParameters = null;
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return false;
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}
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var positivePrompt = splitFirstPart[0];
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var negativePrompt = splitFirstPart[1];
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// Parse last line
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var match = ParseLastLineRegex().Match(lastLine);
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if (!match.Success)
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{
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generationParameters = null;
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return false;
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}
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generationParameters = new GenerationParameters
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{
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PositivePrompt = positivePrompt,
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NegativePrompt = negativePrompt,
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Steps = int.Parse(match.Groups["Steps"].Value),
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Sampler = match.Groups["Sampler"].Value,
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CfgScale = double.Parse(match.Groups["CfgScale"].Value),
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Seed = ulong.Parse(match.Groups["Seed"].Value),
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Height = int.Parse(match.Groups["Height"].Value),
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Width = int.Parse(match.Groups["Width"].Value),
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ModelHash = match.Groups["ModelHash"].Value,
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ModelName = match.Groups["ModelName"].Value,
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};
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return true;
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}
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/// <summary>
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/// Converts current <see cref="Sampler"/> string to <see cref="ComfySampler"/> and <see cref="ComfyScheduler"/>.
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/// </summary>
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/// <returns></returns>
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public (ComfySampler sampler, ComfyScheduler scheduler)? GetComfySamplers()
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{
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if (Sampler is not { } source)
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return null;
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var scheduler = source switch
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{
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_ when source.Contains("Karras") => ComfyScheduler.Karras,
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_ when source.Contains("Exponential") => ComfyScheduler.Exponential,
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_ => ComfyScheduler.Normal,
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};
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var sampler = source switch
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{
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"LMS" => ComfySampler.LMS,
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"DDIM" => ComfySampler.DDIM,
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"UniPC" => ComfySampler.UniPC,
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"DPM fast" => ComfySampler.DpmFast,
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"DPM adaptive" => ComfySampler.DpmAdaptive,
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"Heun" => ComfySampler.Heun,
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_ when source.StartsWith("DPM2 a") => ComfySampler.Dpm2Ancestral,
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_ when source.StartsWith("DPM2") => ComfySampler.Dpm2,
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_ when source.StartsWith("DPM++ 2M SDE") => ComfySampler.Dpmpp2MSde,
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_ when source.StartsWith("DPM++ 2M") => ComfySampler.Dpmpp2M,
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_ when source.StartsWith("DPM++ 3M SDE") => ComfySampler.Dpmpp3MSde,
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_ when source.StartsWith("DPM++ 3M") => ComfySampler.Dpmpp3M,
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_ when source.StartsWith("DPM++ SDE") => ComfySampler.DpmppSde,
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_ when source.StartsWith("DPM++ 2S a") => ComfySampler.Dpmpp2SAncestral,
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_ => default
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};
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return (sampler, scheduler);
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}
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// Example: Steps: 30, Sampler: DPM++ 2M Karras, CFG scale: 7, Seed: 2216407431, Size: 640x896, Model hash: eb2h052f91, Model: anime_v1
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[GeneratedRegex(
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"""^Steps: (?<Steps>\d+), Sampler: (?<Sampler>.+?), CFG scale: (?<CfgScale>\d+(\.\d+)?), Seed: (?<Seed>\d+), Size: (?<Width>\d+)x(?<Height>\d+), Model hash: (?<ModelHash>.+?), Model: (?<ModelName>.+)$"""
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)]
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private static partial Regex ParseLastLineRegex();
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}
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