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- 'use client';
- import { useState, useRef, useEffect } from 'react';
- import { Header } from '@/components/header';
- import { MainLayout } from '@/components/main-layout';
- import { Button } from '@/components/ui/button';
- import { Input } from '@/components/ui/input';
- import { Textarea } from '@/components/ui/textarea';
- import { PromptTextarea } from '@/components/prompt-textarea';
- import { Label } from '@/components/ui/label';
- import { Card, CardContent } from '@/components/ui/card';
- import { apiClient, type JobInfo } from '@/lib/api';
- import { Loader2, Download, X, Upload } from 'lucide-react';
- import { downloadImage, fileToBase64 } from '@/lib/utils';
- export default function Img2ImgPage() {
- const [formData, setFormData] = useState({
- prompt: '',
- negative_prompt: '',
- image: '',
- strength: 0.75,
- steps: 20,
- cfg_scale: 7.5,
- seed: '',
- sampling_method: 'euler_a',
- });
- const [loading, setLoading] = useState(false);
- const [error, setError] = useState<string | null>(null);
- const [jobInfo, setJobInfo] = useState<JobInfo | null>(null);
- const [generatedImages, setGeneratedImages] = useState<string[]>([]);
- const [previewImage, setPreviewImage] = useState<string | null>(null);
- const [loraModels, setLoraModels] = useState<string[]>([]);
- const [embeddings, setEmbeddings] = useState<string[]>([]);
- const fileInputRef = useRef<HTMLInputElement>(null);
- useEffect(() => {
- const loadModels = async () => {
- try {
- const [loras, embeds] = await Promise.all([
- apiClient.getModels('lora'),
- apiClient.getModels('embedding'),
- ]);
- setLoraModels(loras.map(m => m.name));
- setEmbeddings(embeds.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 handleImageUpload = async (e: React.ChangeEvent<HTMLInputElement>) => {
- const file = e.target.files?.[0];
- if (!file) return;
- try {
- const base64 = await fileToBase64(file);
- setFormData((prev) => ({ ...prev, image: base64 }));
- setPreviewImage(base64);
- setError(null);
- } catch (err) {
- setError('Failed to load image');
- }
- };
- const pollJobStatus = async (jobId: string) => {
- const maxAttempts = 300;
- let attempts = 0;
- const poll = async () => {
- try {
- const status = await apiClient.getJobStatus(jobId);
- setJobInfo(status);
- if (status.status === 'completed' && status.result?.images) {
- setGeneratedImages(status.result.images);
- setLoading(false);
- } else if (status.status === 'failed') {
- setError(status.error || 'Generation failed');
- setLoading(false);
- } else if (status.status === 'cancelled') {
- setError('Generation was cancelled');
- setLoading(false);
- } else if (attempts < maxAttempts) {
- attempts++;
- setTimeout(poll, 1000);
- } else {
- setError('Job polling timeout');
- setLoading(false);
- }
- } catch (err) {
- setError(err instanceof Error ? err.message : 'Failed to check job status');
- setLoading(false);
- }
- };
- poll();
- };
- const handleGenerate = async (e: React.FormEvent) => {
- e.preventDefault();
- if (!formData.image) {
- setError('Please upload an image first');
- return;
- }
- setLoading(true);
- setError(null);
- setGeneratedImages([]);
- setJobInfo(null);
- try {
- const job = await apiClient.img2img(formData);
- setJobInfo(job);
- const jobId = job.request_id || job.id;
- if (jobId) {
- await pollJobStatus(jobId);
- } 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');
- } catch (err) {
- console.error('Failed to cancel job:', err);
- }
- }
- };
- return (
- <MainLayout>
- <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>
- <div className="space-y-4">
- {previewImage && (
- <div className="relative">
- <img
- src={previewImage}
- alt="Source"
- className="w-full rounded-lg border border-border"
- />
- </div>
- )}
- <Button
- type="button"
- variant="outline"
- onClick={() => fileInputRef.current?.click()}
- className="w-full"
- >
- <Upload className="h-4 w-4" />
- {previewImage ? 'Change Image' : 'Upload Image'}
- </Button>
- <input
- ref={fileInputRef}
- type="file"
- accept="image/*"
- onChange={handleImageUpload}
- className="hidden"
- />
- </div>
- </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="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 || !formData.image} 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>
- )}
- {jobInfo && (
- <div className="rounded-md bg-muted p-3 text-sm">
- <p>Job ID: {jobInfo.id}</p>
- <p>Status: {jobInfo.status}</p>
- {jobInfo.progress !== undefined && (
- <p>Progress: {Math.round(jobInfo.progress * 100)}%</p>
- )}
- </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 ${index + 1}`}
- className="w-full rounded-lg border border-border"
- />
- <Button
- size="icon"
- variant="secondary"
- className="absolute top-2 right-2 opacity-0 group-hover:opacity-100 transition-opacity"
- onClick={() => downloadImage(image, `img2img-${Date.now()}-${index}.png`)}
- >
- <Download className="h-4 w-4" />
- </Button>
- </div>
- ))}
- </div>
- )}
- </div>
- </CardContent>
- </Card>
- </div>
- </div>
- </MainLayout>
- );
- }
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