using System; using System.IO; using System.Linq; using System.Text; using System.Text.Json; using Force.Crc32; using StabilityMatrix.Avalonia.Models; using StabilityMatrix.Core.Models; namespace StabilityMatrix.Avalonia.Helpers; public static class PngDataHelper { private static readonly byte[] Idat = { 0x49, 0x44, 0x41, 0x54 }; private static readonly byte[] Text = { 0x74, 0x45, 0x58, 0x74 }; private static readonly byte[] Iend = { 0x49, 0x45, 0x4E, 0x44 }; public static byte[] AddMetadata( Stream inputStream, GenerationParameters generationParameters, InferenceProjectDocument projectDocument ) { using var ms = new MemoryStream(); inputStream.CopyTo(ms); return AddMetadata(ms.ToArray(), generationParameters, projectDocument); } public static byte[] AddMetadata( byte[] inputImage, GenerationParameters generationParameters, InferenceProjectDocument projectDocument ) { var imageWidthBytes = inputImage[0x10..0x14]; var imageHeightBytes = inputImage[0x14..0x18]; var imageWidth = BitConverter.ToInt32(imageWidthBytes.Reverse().ToArray()); var imageHeight = BitConverter.ToInt32(imageHeightBytes.Reverse().ToArray()); generationParameters.Width = imageWidth; generationParameters.Height = imageHeight; var idatIndex = SearchBytes(inputImage, Idat); var iendIndex = SearchBytes(inputImage, Iend); var textEndIndex = idatIndex - 4; // go back 4 cuz we don't want the length var existingData = inputImage[..textEndIndex]; var smprojJson = JsonSerializer.Serialize(projectDocument); var smprojChunk = BuildTextChunk("smproj", smprojJson); var paramsData = $"{generationParameters.PositivePrompt}\nNegative prompt: {generationParameters.NegativePrompt}\n" + $"Steps: {generationParameters.Steps}, Sampler: {generationParameters.Sampler}, " + $"CFG scale: {generationParameters.CfgScale}, Seed: {generationParameters.Seed}, " + $"Size: {imageWidth}x{imageHeight}, " + $"Model hash: {generationParameters.ModelHash}, Model: {generationParameters.ModelName}"; var paramsChunk = BuildTextChunk("parameters", paramsData); var paramsJson = JsonSerializer.Serialize(generationParameters); var paramsJsonChunk = BuildTextChunk("parameters-json", paramsJson); // Go back 4 from the idat index because we need the length of the data idatIndex -= 4; // Go forward 8 from the iend index because we need the crc iendIndex += 8; var actualImageData = inputImage[idatIndex..iendIndex]; var finalImage = existingData .Concat(paramsChunk) .Concat(paramsJsonChunk) .Concat(smprojChunk) .Concat(actualImageData); return finalImage.ToArray(); } public static byte[] RemoveMetadata(byte[] inputImage) { var firstTextIndex = SearchBytes(inputImage, Text); if (firstTextIndex == -1) return inputImage; // Don't want the size bytes either firstTextIndex -= 4; var existingHeader = inputImage[..firstTextIndex]; // Go back 4 from the idat index because we need the length of the data var idatIndex = SearchBytes(inputImage, Idat) - 4; // Go forward 8 from the iend index because we need the crc var iendIndex = SearchBytes(inputImage, Iend) + 8; var actualImageData = inputImage[idatIndex..iendIndex]; var finalImage = existingHeader.Concat(actualImageData); return finalImage.ToArray(); } private static byte[] BuildTextChunk(string key, string value) { var textData = $"{key}\0{value}"; var dataBytes = Encoding.UTF8.GetBytes(textData); var textDataLength = BitConverter.GetBytes(dataBytes.Length).Reverse(); var textDataBytes = Text.Concat(dataBytes).ToArray(); var crc = BitConverter.GetBytes(Crc32Algorithm.Compute(textDataBytes)); return textDataLength.Concat(textDataBytes).Concat(crc).ToArray(); } private static int SearchBytes(byte[] haystack, byte[] needle) { var limit = haystack.Length - needle.Length; for (var i = 0; i <= limit; i++) { var k = 0; for (; k < needle.Length; k++) { if (needle[k] != haystack[i + k]) break; } if (k == needle.Length) return i; } return -1; } }