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- "use client";
- import { useState, useEffect } from "react";
- import { Header } from "@/components/layout";
- import { 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,
- CardHeader,
- CardTitle,
- CardDescription,
- } from "@/components/ui/card";
- import { InpaintingCanvas } from "@/components/features/image-generation";
- import { apiClient, type JobInfo, type JobDetailsResponse } from "@/lib/api";
- import { Loader2, X, Download } from "lucide-react";
- import { downloadAuthenticatedImage } from "@/lib/utils";
- import { useLocalStorage } from "@/lib/storage";
- import {
- useModelSelection,
- useCheckpointSelection,
- useModelTypeSelection,
- } from "@/contexts/model-selection-context";
- import {
- Select,
- SelectContent,
- SelectItem,
- SelectTrigger,
- SelectValue,
- } from "@/components/ui/select";
- // import { AutoSelectionStatus } from '@/components/features/models';
- type InpaintingFormData = {
- prompt: string;
- negative_prompt: string;
- steps: number;
- cfg_scale: number;
- seed: string;
- sampling_method: string;
- strength: number;
- width?: number;
- height?: number;
- };
- const defaultFormData: InpaintingFormData = {
- prompt: "",
- negative_prompt: "",
- steps: 20,
- cfg_scale: 7.5,
- seed: "",
- sampling_method: "euler_a",
- strength: 0.75,
- width: 512,
- height: 512,
- };
- function InpaintingForm() {
- const { actions } = useModelSelection();
- const {
- checkpointModels,
- selectedCheckpointModel,
- selectedCheckpoint,
- setSelectedCheckpoint,
- isAutoSelecting,
- } = useCheckpointSelection();
- const {
- availableModels: vaeModels,
- selectedModel: selectedVae,
-
- isAutoSelected: isVaeAutoSelected,
- setSelectedModel: setSelectedVae,
- setUserOverride: setVaeUserOverride,
- clearUserOverride: clearVaeUserOverride,
- } = useModelTypeSelection("vae");
- const [formData, setFormData] = useLocalStorage<InpaintingFormData>(
- "inpainting-form-data",
- defaultFormData,
- { excludeLargeData: true, maxSize: 512 * 1024 },
- );
- // Separate state for image data (not stored in localStorage)
- const [sourceImage, setSourceImage] = useState<string>("");
- const [maskImage, setMaskImage] = useState<string>("");
- const [loading, setLoading] = useState(false);
- const [jobInfo, setJobInfo] = useState<JobInfo | null>(null);
- const [generatedImages, setGeneratedImages] = useState<string[]>([]);
- const [loraModels, setLoraModels] = useState<string[]>([]);
- const [embeddings, setEmbeddings] = useState<string[]>([]);
- const [error, setError] = useState<string | null>(null);
- const [pollCleanup, setPollCleanup] = useState<(() => void) | null>(null);
- // Cleanup polling on unmount
- useEffect(() => {
- return () => {
- if (pollCleanup) {
- pollCleanup();
- }
- };
- }, [pollCleanup]);
- useEffect(() => {
- const loadModels = async () => {
- try {
- const [modelsData, loras, embeds] = await Promise.all([
- apiClient.getModels(), // Get all models with enhanced info
- apiClient.getModels("lora"),
- apiClient.getModels("embedding"),
- ]);
- actions.setModels(modelsData.models);
- setLoraModels(loras.models.map((m) => m.name));
- setEmbeddings(embeds.models.map((m) => m.name));
- } catch (err) {
- console.error("Failed to load models:", err);
- }
- };
- loadModels();
- }, [actions]);
- // Update form data when checkpoint changes
- useEffect(() => {
- if (selectedCheckpoint) {
- setFormData((prev) => ({
- ...prev,
- model: selectedCheckpoint,
- }));
- }
- }, [selectedCheckpoint, setFormData]);
- 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 handleSourceImageChange = (image: string) => {
- setSourceImage(image);
- setError(null);
- };
- const handleMaskImageChange = (image: string) => {
- setMaskImage(image);
- setError(null);
- };
- const pollJobStatus = async (jobId: string) => {
- const maxAttempts = 300; // 5 minutes with 2 second interval
- 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);
- }
- }
- return imageUrl; // Already a full URL
- });
- }
- // Create a new array to trigger React re-render
- setGeneratedImages([...imageUrls]);
- 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 (!sourceImage) {
- setError("Please upload a source image first");
- return;
- }
- if (!maskImage) {
- setError("Please create a mask first");
- return;
- }
- setLoading(true);
- setError(null);
- setGeneratedImages([]);
- setJobInfo(null);
- try {
- // Validate model selection
- if (selectedCheckpointModel) {
- const validation = actions.validateSelection(selectedCheckpointModel);
- if (!validation.isValid) {
- setError(
- `Missing required models: ${validation.missingRequired.join(", ")}`,
- );
- setLoading(false);
- return;
- }
- }
- const requestData = {
- ...formData,
- source_image: sourceImage,
- mask_image: maskImage,
- model: selectedCheckpoint || undefined,
- vae: selectedVae || undefined,
- };
- const job = await apiClient.inpainting(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="Inpainting"
- description="Edit images by masking areas and regenerating with AI"
- />
- <div className="container mx-auto p-6">
- <div className="grid gap-6 lg:grid-cols-2">
- {/* Left Panel - Canvas and Form */}
- <div className="space-y-6">
- <InpaintingCanvas
- onSourceImageChange={handleSourceImageChange}
- onMaskImageChange={handleMaskImageChange}
- targetWidth={formData.width}
- targetHeight={formData.height}
- />
- <Card>
- <CardContent className="pt-6">
- <form onSubmit={handleGenerate} className="space-y-4">
- <div className="space-y-2">
- <Label htmlFor="prompt">Prompt *</Label>
- <PromptTextarea
- value={formData.prompt}
- onChange={(value) =>
- setFormData({ ...formData, prompt: value })
- }
- placeholder="Describe what to generate in the masked areas..."
- 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 in the generated areas..."
- 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}
- />
- </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}
- />
- </div>
- </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>
- {/* Model Selection Section */}
- <Card>
- <CardHeader>
- <CardTitle>Model Selection</CardTitle>
- <CardDescription>
- Select checkpoint and additional models for generation
- </CardDescription>
- </CardHeader>
- {/* Checkpoint Selection */}
- <div className="space-y-2">
- <Label htmlFor="checkpoint">Checkpoint Model *</Label>
- <select
- id="checkpoint"
- value={selectedCheckpoint || ""}
- onChange={(e) =>
- setSelectedCheckpoint(e.target.value || null)
- }
- className="flex h-10 w-full rounded-md border border-input bg-background px-3 py-2 text-sm"
- disabled={isAutoSelecting}
- >
- <option value="">Select a checkpoint model...</option>
- {checkpointModels.map((model) => (
- <option key={model.id} value={model.name}>
- {model.name} {model.loaded ? "(Loaded)" : ""}
- </option>
- ))}
- </select>
- </div>
- {/* VAE Selection */}
- <div className="space-y-2">
- <Label>VAE Model (Optional)</Label>
- <Select
- value={selectedVae || ""}
- onValueChange={(value) => {
- if (value) {
- setSelectedVae(value);
- setVaeUserOverride(value);
- } else {
- clearVaeUserOverride();
- }
- }}
- disabled={isAutoSelecting}
- >
- <SelectTrigger>
- <SelectValue placeholder="Use default VAE" />
- </SelectTrigger>
- <SelectContent>
- <SelectItem value="">Use default VAE</SelectItem>
- {vaeModels.map((model) => (
- <SelectItem key={model.name} value={model.name}>
- {model.name}
- </SelectItem>
- ))}
- </SelectContent>
- </Select>
- {isVaeAutoSelected && (
- <p className="text-xs text-muted-foreground">
- Auto-selected VAE model
- </p>
- )}
- </div>
- </Card>
- <div className="flex gap-2">
- <Button
- type="submit"
- disabled={loading || !sourceImage || !maskImage}
- 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>
- </div>
- {/* 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 ${index + 1}`}
- className="w-full rounded-lg border border-border"
- />
- <Button
- size="icon"
- variant="secondary"
- className="absolute top-2 right-2 opacity-0 group-hover:opacity-100 transition-opacity"
- onClick={() => {
- const authToken =
- localStorage.getItem("auth_token");
- const unixUser = localStorage.getItem("unix_user");
- downloadAuthenticatedImage(
- image,
- `inpainting-${Date.now()}-${index}.png`,
- authToken || undefined,
- unixUser || undefined,
- ).catch((err) => {
- console.error("Failed to download image:", err);
- });
- }}
- >
- <Download className="h-4 w-4" />
- </Button>
- </div>
- ))}
- </div>
- )}
- </div>
- </CardContent>
- </Card>
- </div>
- </div>
- </AppLayout>
- );
- }
- export default function InpaintingPage() {
- return <InpaintingForm />;
- }
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