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