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- "use client";
- import { useState, useEffect } from "react";
- import { Header, AppLayout } from "@/components/layout";
- import { Button } from "@/components/ui/button";
- import { Input } from "@/components/ui/input";
- import { PromptTextarea } from "@/components/forms";
- import { Label } from "@/components/ui/label";
- import { Card, CardContent } from "@/components/ui/card";
- import { ImageInput } from "@/components/ui/image-input";
- import { apiClient, type JobInfo, type JobDetailsResponse } from "@/lib/api";
- import {
- downloadImage,
- downloadAuthenticatedImage,
- fileToBase64,
- } from "@/lib/utils";
- import { useLocalStorage, useMemoryStorage, useGeneratedImages } from "@/lib/storage";
- import { type ImageValidationResult } from "@/lib/image-validation";
- import { Loader2, Download, X } from "lucide-react";
- type Img2ImgFormData = {
- prompt: string;
- negative_prompt: string;
- image: string;
- strength: number;
- steps: number;
- cfg_scale: number;
- seed: string;
- sampling_method: string;
- width?: number;
- height?: number;
- };
- const defaultFormData: Img2ImgFormData = {
- prompt: "",
- negative_prompt: "",
- image: "",
- strength: 0.75,
- steps: 20,
- cfg_scale: 7.5,
- seed: "",
- sampling_method: "euler_a",
- width: 512,
- height: 512,
- };
- function Img2ImgForm() {
- // Store form data without the image to avoid localStorage quota issues
- const { ...formDataWithoutImage } = defaultFormData;
- const [formData, setFormData] = useLocalStorage<
- Omit<Img2ImgFormData, "image">
- >("img2img-form-data", formDataWithoutImage);
- // Store image separately in memory
- const [imageData, setImageData] = useMemoryStorage<string>("");
- // Combined form data with image
- const fullFormData = { ...formData, image: imageData };
- const [loading, setLoading] = useState(false);
- const [jobInfo, setJobInfo] = useState<JobInfo | null>(null);
- const { images: storedImages, addImages, getLatestImages } = useGeneratedImages('img2img');
- const [generatedImages, setGeneratedImages] = useState<string[]>(() => getLatestImages());
-
- const [loraModels, setLoraModels] = useState<string[]>([]);
- const [embeddings, setEmbeddings] = useState<string[]>([]);
- const [selectedImage, setSelectedImage] = useState<File | string | null>(
- null,
- );
- const [imageValidation, setImageValidation] =
- useState<ImageValidationResult | null>(null);
- const [originalImage, setOriginalImage] = useState<string | null>(null);
- const [isResizing, setIsResizing] = useState(false);
- const [error, setError] = useState<string | null>(null);
- const [pollCleanup, setPollCleanup] = useState<(() => void) | null>(null);
- const [imageLoadingFromUrl, setImageLoadingFromUrl] = useState(false);
- // Cleanup polling on unmount
- useEffect(() => {
- return () => {
- if (pollCleanup) {
- pollCleanup();
- }
- };
- }, [pollCleanup]);
- useEffect(() => {
- const loadModels = async () => {
- try {
- const [loras, embeds] = await Promise.all([
- apiClient.getModels("lora"),
- apiClient.getModels("embedding"),
- ]);
- setLoraModels(loras.models.map((m) => m.name));
- setEmbeddings(embeds.models.map((m) => m.name));
- } catch (err) {
- console.error("Failed to load models:", err);
- }
- };
- loadModels();
- }, []);
- const handleInputChange = (
- e: React.ChangeEvent<
- HTMLInputElement | HTMLTextAreaElement | HTMLSelectElement
- >,
- ) => {
- const { name, value } = e.target;
- setFormData((prev) => ({
- ...prev,
- [name]:
- name === "prompt" ||
- name === "negative_prompt" ||
- name === "seed" ||
- name === "sampling_method"
- ? value
- : Number(value),
- }));
- };
- const handleImageChange = async (image: File | string | null) => {
- setSelectedImage(image);
- setError(null);
- if (!image) {
- setImageData("");
- setFormData((prev) => ({ ...prev, image: "" }));
-
- setImageValidation(null);
- setOriginalImage(null);
- return;
- }
- try {
- let imageBase64: string;
- if (image instanceof File) {
- // Convert File to base64
- imageBase64 = await fileToBase64(image);
- } else {
- // For URLs, don't set preview immediately - wait for validation
- // The validation will provide base64 data for preview and processing
- imageBase64 = ""; // Will be set by validation
- // previewUrl = null; // Will be set by validation
- setImageLoadingFromUrl(true);
- console.log(
- "Image URL provided, waiting for validation to process:",
- image,
- );
- }
- // Store original image for resizing (will be updated by validation if URL)
- if (image instanceof File) {
- setOriginalImage(imageBase64);
- setImageData(imageBase64);
- ;
- }
- setFormData((prev) => ({ ...prev })); // Don't store image in localStorage
- } catch (err) {
- setError("Failed to process image");
- console.error("Image processing error:", err);
- }
- };
- // Auto-resize image when width or height changes, but only if we have valid image data
- useEffect(() => {
- const resizeImage = async () => {
- if (!originalImage || !formData.width || !formData.height) {
- return;
- }
- // Don't resize if we're already resizing or still loading from URL
- if (isResizing || imageLoadingFromUrl) {
- return;
- }
- // Check if we have valid image data (data URL or HTTP URL)
- const isValidImageData =
- originalImage.startsWith("data:image/") ||
- originalImage.startsWith("http://") ||
- originalImage.startsWith("https://");
- if (!isValidImageData) {
- console.warn(
- "Invalid image data format for resizing:",
- originalImage.substring(0, 50),
- );
- return; // Don't show error for timing issues, just skip resize
- }
- try {
- setIsResizing(true);
- console.log(
- "Attempting to resize image, data type:",
- originalImage.startsWith("data:image/") ? "data URL" : "HTTP URL",
- );
- console.log("Image data length:", originalImage.length);
- console.log("Resize dimensions:", formData.width, "x", formData.height);
- const result = await apiClient.resizeImage(
- originalImage,
- formData.width,
- formData.height,
- );
- setImageData(result.image);
- setFormData((prev) => ({ ...prev })); // Don't store image in localStorage
- ;
- } catch (err) {
- console.error("Failed to resize image:", err);
- const errorMessage =
- err instanceof Error ? err.message : "Unknown error";
- setError(
- `Failed to resize image: ${errorMessage}. You may need to resize the image manually or use different dimensions.`,
- );
- } finally {
- setIsResizing(false);
- }
- };
- resizeImage();
- }, [
- formData.width,
- formData.height,
- originalImage,
- imageLoadingFromUrl,
- isResizing,
- setFormData,
- setImageData,
- ]);
- const handleImageValidation = (result: ImageValidationResult) => {
- setImageValidation(result);
- setImageLoadingFromUrl(false);
- if (!result.isValid) {
- setError(result.error || "Invalid image");
- } else {
- setError(null);
- // If we have temporary URL or base64 data from URL download, use it for preview and processing
- if (selectedImage && typeof selectedImage === "string") {
- if (result.tempUrl) {
- // Use temporary URL for preview and processing
- const fullTempUrl = result.tempUrl.startsWith("/")
- ? `${window.location.origin}${result.tempUrl}`
- : result.tempUrl;
- ;
- setOriginalImage(fullTempUrl);
- // For processing, we still need to convert to base64 or use the URL directly
- // The resize endpoint can handle URLs, so we can use the temp URL
- setImageData(fullTempUrl);
- console.log(
- "Using temporary URL from URL validation for image processing:",
- fullTempUrl,
- );
- console.log("Temporary filename:", result.tempFilename);
- } else if (result.base64Data) {
- // Fallback to base64 data if no temporary URL
- if (
- result.base64Data.startsWith("data:image/") &&
- result.base64Data.includes("base64,")
- ) {
- ;
- setImageData(result.base64Data);
- setOriginalImage(result.base64Data);
- console.log(
- "Using base64 data from URL validation for image processing",
- );
- console.log("Base64 data length:", result.base64Data.length);
- console.log(
- "Base64 data preview:",
- result.base64Data.substring(0, 100) + "...",
- );
- } else {
- console.error(
- "Invalid base64 data format received from server:",
- result.base64Data.substring(0, 100),
- );
- setError("Invalid image data format received from server");
- }
- }
- }
- }
- };
- const pollJobStatus = async (jobId: string) => {
- const maxAttempts = 300;
- let attempts = 0;
- let isPolling = true;
- let timeoutId: NodeJS.Timeout | null = null;
- const poll = async () => {
- if (!isPolling) return;
- try {
- const status: JobDetailsResponse = await apiClient.getJobStatus(jobId);
- setJobInfo(status.job);
- if (status.job.status === "completed") {
- let imageUrls: string[] = [];
- // Handle both old format (result.images) and new format (outputs)
- if (status.job.outputs && status.job.outputs.length > 0) {
- // New format: convert output URLs to authenticated image URLs with cache-busting
- imageUrls = status.job.outputs.map((output: { filename: string }) => {
- const filename = output.filename;
- return apiClient.getImageUrl(jobId, filename);
- });
- } else if (
- status.job.result?.images &&
- status.job.result.images.length > 0
- ) {
- // Old format: convert image URLs to authenticated URLs
- imageUrls = status.job.result.images.map((imageUrl: string) => {
- // Extract filename from URL if it's already a full URL
- if (imageUrl.includes("/output/")) {
- const parts = imageUrl.split("/output/");
- if (parts.length === 2) {
- const filename = parts[1].split("?")[0]; // Remove query params
- return apiClient.getImageUrl(jobId, filename);
- }
- }
- // If it's just a filename, convert it directly
- return apiClient.getImageUrl(jobId, imageUrl);
- });
- }
- // Create a new array to trigger React re-render
- setGeneratedImages([...imageUrls]);
- addImages(imageUrls, jobId);
- setLoading(false);
- isPolling = false;
- } else if (status.job.status === "failed") {
- setError(status.job.error || "Generation failed");
- setLoading(false);
- isPolling = false;
- } else if (status.job.status === "cancelled") {
- setError("Generation was cancelled");
- setLoading(false);
- isPolling = false;
- } else if (attempts < maxAttempts) {
- attempts++;
- timeoutId = setTimeout(poll, 2000);
- } else {
- setError("Job polling timeout");
- setLoading(false);
- isPolling = false;
- }
- } catch (err) {
- if (isPolling) {
- setError(
- err instanceof Error ? err.message : "Failed to check job status",
- );
- setLoading(false);
- isPolling = false;
- }
- }
- };
- poll();
- // Return cleanup function
- return () => {
- isPolling = false;
- if (timeoutId) {
- clearTimeout(timeoutId);
- }
- };
- };
- const handleGenerate = async (e: React.FormEvent) => {
- e.preventDefault();
- if (!fullFormData.image) {
- setError("Please upload or select an image first");
- return;
- }
- // Check if image validation passed
- if (imageValidation && !imageValidation.isValid) {
- setError("Please fix the image validation errors before generating");
- return;
- }
- setLoading(true);
- setError(null);
- setGeneratedImages([]);
- setJobInfo(null);
- try {
- const requestData = {
- ...fullFormData,
- };
- const job = await apiClient.img2img(requestData);
- setJobInfo(job);
- const jobId = job.request_id || job.id;
- if (jobId) {
- const cleanup = pollJobStatus(jobId);
- setPollCleanup(() => cleanup);
- } else {
- setError("No job ID returned from server");
- setLoading(false);
- }
- } catch (err) {
- setError(err instanceof Error ? err.message : "Failed to generate image");
- setLoading(false);
- }
- };
- const handleCancel = async () => {
- const jobId = jobInfo?.request_id || jobInfo?.id;
- if (jobId) {
- try {
- await apiClient.cancelJob(jobId);
- setLoading(false);
- setError("Generation cancelled");
- // Cleanup polling
- if (pollCleanup) {
- pollCleanup();
- setPollCleanup(null);
- }
- } catch (err) {
- console.error("Failed to cancel job:", err);
- }
- }
- };
- return (
- <AppLayout>
- <Header
- title="Image to Image"
- description="Transform images with AI using text prompts"
- />
- <div className="container mx-auto p-6">
- <div className="grid gap-6 lg:grid-cols-2">
- {/* Left Panel - Form */}
- <Card>
- <CardContent className="pt-6">
- <form onSubmit={handleGenerate} className="space-y-4">
- <div className="space-y-2">
- <Label>Source Image *</Label>
- <ImageInput
- value={selectedImage}
- onChange={handleImageChange}
- onValidation={handleImageValidation}
- disabled={loading}
- maxSize={10 * 1024 * 1024} // 10MB
- accept="image/*"
- placeholder="Enter image URL or select a file"
- showPreview={true}
- />
- </div>
- <div className="space-y-2">
- <Label htmlFor="prompt">Prompt *</Label>
- <PromptTextarea
- value={formData.prompt}
- onChange={(value) =>
- setFormData({ ...formData, prompt: value })
- }
- placeholder="Describe the transformation you want..."
- rows={3}
- loras={loraModels}
- embeddings={embeddings}
- />
- <p className="text-xs text-muted-foreground">
- Tip: Use <lora:name:weight> for LoRAs and embedding
- names directly
- </p>
- </div>
- <div className="space-y-2">
- <Label htmlFor="negative_prompt">Negative Prompt</Label>
- <PromptTextarea
- value={formData.negative_prompt || ""}
- onChange={(value) =>
- setFormData({ ...formData, negative_prompt: value })
- }
- placeholder="What to avoid..."
- rows={2}
- loras={loraModels}
- embeddings={embeddings}
- />
- </div>
- <div className="space-y-2">
- <Label htmlFor="strength">
- Strength: {formData.strength.toFixed(2)}
- </Label>
- <Input
- id="strength"
- name="strength"
- type="range"
- value={formData.strength}
- onChange={handleInputChange}
- min={0}
- max={1}
- step={0.05}
- />
- <p className="text-xs text-muted-foreground">
- Lower values preserve more of the original image
- </p>
- </div>
- <div className="grid grid-cols-2 gap-4">
- <div className="space-y-2">
- <Label htmlFor="width">Width</Label>
- <Input
- id="width"
- name="width"
- type="number"
- value={formData.width}
- onChange={handleInputChange}
- step={64}
- min={256}
- max={2048}
- disabled={isResizing}
- />
- </div>
- <div className="space-y-2">
- <Label htmlFor="height">Height</Label>
- <Input
- id="height"
- name="height"
- type="number"
- value={formData.height}
- onChange={handleInputChange}
- step={64}
- min={256}
- max={2048}
- disabled={isResizing}
- />
- </div>
- </div>
- {isResizing && (
- <div className="text-sm text-muted-foreground flex items-center gap-2">
- <Loader2 className="h-4 w-4 animate-spin" />
- Resizing image...
- </div>
- )}
- <div className="grid grid-cols-2 gap-4">
- <div className="space-y-2">
- <Label htmlFor="steps">Steps</Label>
- <Input
- id="steps"
- name="steps"
- type="number"
- value={formData.steps}
- onChange={handleInputChange}
- min={1}
- max={150}
- />
- </div>
- <div className="space-y-2">
- <Label htmlFor="cfg_scale">CFG Scale</Label>
- <Input
- id="cfg_scale"
- name="cfg_scale"
- type="number"
- value={formData.cfg_scale}
- onChange={handleInputChange}
- step={0.5}
- min={1}
- max={30}
- />
- </div>
- </div>
- <div className="space-y-2">
- <Label htmlFor="seed">Seed (optional)</Label>
- <Input
- id="seed"
- name="seed"
- value={formData.seed}
- onChange={handleInputChange}
- placeholder="Leave empty for random"
- />
- </div>
- <div className="space-y-2">
- <Label htmlFor="sampling_method">Sampling Method</Label>
- <select
- id="sampling_method"
- name="sampling_method"
- value={formData.sampling_method}
- onChange={handleInputChange}
- className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm"
- >
- <option value="euler">Euler</option>
- <option value="euler_a">Euler A</option>
- <option value="heun">Heun</option>
- <option value="dpm2">DPM2</option>
- <option value="dpm++2s_a">DPM++ 2S A</option>
- <option value="dpm++2m">DPM++ 2M</option>
- <option value="dpm++2mv2">DPM++ 2M V2</option>
- <option value="lcm">LCM</option>
- </select>
- </div>
- <div className="flex gap-2">
- <Button
- type="submit"
- disabled={
- loading ||
- !imageData ||
- imageValidation?.isValid === false
- }
- className="flex-1"
- >
- {loading ? (
- <>
- <Loader2 className="h-4 w-4 animate-spin" />
- Generating...
- </>
- ) : (
- "Generate"
- )}
- </Button>
- {loading && (
- <Button
- type="button"
- variant="destructive"
- onClick={handleCancel}
- >
- <X className="h-4 w-4" />
- Cancel
- </Button>
- )}
- </div>
- {error && (
- <div className="rounded-md bg-destructive/10 p-3 text-sm text-destructive">
- {error}
- </div>
- )}
- </form>
- </CardContent>
- </Card>
- {/* Right Panel - Generated Images */}
- <Card>
- <CardContent className="pt-6">
- <div className="space-y-4">
- <h3 className="text-lg font-semibold">Generated Images</h3>
- {generatedImages.length === 0 ? (
- <div className="flex h-96 items-center justify-center rounded-lg border-2 border-dashed border-border">
- <p className="text-muted-foreground">
- {loading
- ? "Generating..."
- : "Generated images will appear here"}
- </p>
- </div>
- ) : (
- <div className="grid gap-4">
- {generatedImages.map((image, index) => (
- <div key={index} className="relative group">
- <img
- src={image}
- alt={`Generated ${index + 1}`}
- className="w-full rounded-lg border border-border"
- />
- <Button
- size="icon"
- variant="secondary"
- className="absolute top-2 right-2 opacity-0 group-hover:opacity-100 transition-opacity"
- onClick={() => {
- const authToken =
- localStorage.getItem("auth_token");
- const unixUser = localStorage.getItem("unix_user");
- downloadAuthenticatedImage(
- image,
- `img2img-${Date.now()}-${index}.png`,
- authToken || undefined,
- unixUser || undefined,
- ).catch((err) => {
- console.error("Failed to download image:", err);
- // Fallback to regular download if authenticated download fails
- downloadImage(
- image,
- `img2img-${Date.now()}-${index}.png`,
- );
- });
- }}
- >
- <Download className="h-4 w-4" />
- </Button>
- </div>
- ))}
- </div>
- )}
- </div>
- </CardContent>
- </Card>
- </div>
- </div>
- </AppLayout>
- );
- }
- export default function Img2ImgPage() {
- return <Img2ImgForm />;
- }
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