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/**
* NANO BANANA EDITOR - MAIN APPLICATION COMPONENT
*
* This is a visual node-based editor for AI image processing.
* Users can create nodes for different operations like merging images,
* changing backgrounds, adding clothes, applying styles, etc.
*
* Key Features:
* - Drag & drop interface for connecting nodes
* - Real-time image processing using Google's Gemini API
* - Support for multiple image operations (merge, style, edit, etc.)
* - Visual connection lines with animations
* - Viewport controls (pan, zoom)
*/
"use client";
// React imports for hooks and core functionality
import React, { useEffect, useMemo, useRef, useState } from "react";
// Custom CSS for animations and styling
import "./editor.css";
// Import all the different node view components
import {
BackgroundNodeView, // Changes/generates backgrounds
ClothesNodeView, // Adds/changes clothing
StyleNodeView, // Applies artistic styles
EditNodeView, // General text-based editing
CameraNodeView, // Camera effects and settings
AgeNodeView, // Age transformation
FaceNodeView, // Face modifications
LightningNodeView, // Lighting effects
PosesNodeView // Pose modifications
} from "./nodes";
// UI components from shadcn/ui library
import { Button } from "../components/ui/button";
import { Input } from "../components/ui/input";
// Hugging Face OAuth functionality
import { oauthLoginUrl, oauthHandleRedirectIfPresent } from '@huggingface/hub';
/**
* Utility function to combine CSS class names conditionally
* Filters out falsy values and joins the remaining strings with spaces
* Example: cx("class1", condition && "class2", null) => "class1 class2" or "class1"
*/
function cx(...args: Array<string | false | null | undefined>) {
return args.filter(Boolean).join(" ");
}
/**
* Generate a unique ID for new nodes
* Uses Math.random() to create a random string identifier
* Format: random base-36 string (letters + numbers), 7 characters long
*/
const uid = () => Math.random().toString(36).slice(2, 9);
/**
* Generate AI prompt for merging multiple character images into a single cohesive group photo
*
* This function creates a detailed prompt that instructs the AI model to:
* 1. Extract people from separate images
* 2. Combine them naturally as if photographed together
* 3. Ensure consistent lighting, shadows, and perspective
* 4. Create a believable group composition
*
* @param characterData Array of objects containing image data and labels
* @returns Detailed prompt string for the AI merge operation
*/
function generateMergePrompt(characterData: { image: string; label: string }[]): string {
const count = characterData.length;
// Create a summary of all images being processed
const labels = characterData.map((d, i) => `Image ${i + 1} (${d.label})`).join(", ");
// Return comprehensive prompt with specific instructions for natural-looking merge
return `MERGE TASK: Create a natural, cohesive group photo combining ALL subjects from ${count} provided images.
Images provided:
${characterData.map((d, i) => `- Image ${i + 1}: ${d.label}`).join("\n")}
CRITICAL REQUIREMENTS:
1. Extract ALL people/subjects from EACH image exactly as they appear
2. Place them together in a SINGLE UNIFIED SCENE with:
- Consistent lighting direction and color temperature
- Matching shadows and ambient lighting
- Proper scale relationships (realistic relative sizes)
- Natural spacing as if they were photographed together
- Shared environment/background that looks cohesive
3. Composition guidelines:
- Arrange subjects at similar depth (not one far behind another)
- Use natural group photo positioning (slight overlap is ok)
- Ensure all faces are clearly visible
- Create visual balance in the composition
- Apply consistent color grading across all subjects
4. Environmental unity:
- Use a single, coherent background for all subjects
- Match the perspective as if taken with one camera
- Ensure ground plane continuity (all standing on same level)
- Apply consistent atmospheric effects (if any)
The result should look like all subjects were photographed together in the same place at the same time, NOT like separate images placed side by side.`;
}
/**
* Copy image to clipboard with PNG conversion
* The clipboard API only supports PNG format for images, so we convert other formats
*/
async function copyImageToClipboard(dataUrl: string) {
try {
const response = await fetch(dataUrl);
const blob = await response.blob();
// Convert to PNG if not already PNG
if (blob.type !== 'image/png') {
const canvas = document.createElement('canvas');
const ctx = canvas.getContext('2d');
const img = new Image();
await new Promise((resolve) => {
img.onload = () => {
canvas.width = img.width;
canvas.height = img.height;
ctx?.drawImage(img, 0, 0);
resolve(void 0);
};
img.src = dataUrl;
});
const pngBlob = await new Promise<Blob>((resolve) => {
canvas.toBlob((blob) => resolve(blob!), 'image/png');
});
await navigator.clipboard.write([
new ClipboardItem({ 'image/png': pngBlob })
]);
} else {
await navigator.clipboard.write([
new ClipboardItem({ 'image/png': blob })
]);
}
} catch (error) {
console.error('Failed to copy image to clipboard:', error);
}
}
/* ========================================
TYPE DEFINITIONS
======================================== */
/**
* All possible node types in the editor
* Each type represents a different kind of image processing operation
*/
type NodeType = "CHARACTER" | "MERGE" | "BACKGROUND" | "CLOTHES" | "STYLE" | "EDIT" | "CAMERA" | "AGE" | "FACE" | "BLEND" | "LIGHTNING" | "POSES";
/**
* Base properties that all nodes share
* Every node has an ID, type, and position in the editor world space
*/
type NodeBase = {
id: string; // Unique identifier for the node
type: NodeType; // What kind of operation this node performs
x: number; // X position in world coordinates (not screen pixels)
y: number; // Y position in world coordinates (not screen pixels)
};
/**
* CHARACTER node - Contains source images (people/subjects)
* These are the starting points for most image processing workflows
* Users can upload images or paste URLs/data URLs
*/
type CharacterNode = NodeBase & {
type: "CHARACTER";
image: string; // Image data (data URL, http URL, or file path)
label?: string; // Optional human-readable name for the character
};
/**
* MERGE node - Combines multiple inputs into a single group photo
* Takes multiple CHARACTER or processed nodes and creates a cohesive image
* Uses AI to naturally blend subjects together with consistent lighting
*/
type MergeNode = NodeBase & {
type: "MERGE";
inputs: string[]; // Array of node IDs to merge together
output?: string | null; // Resulting merged image (data URL)
isRunning?: boolean; // Whether merge operation is currently processing
error?: string | null; // Error message if merge failed
};
/**
* BACKGROUND node - Changes or generates backgrounds
* Can use solid colors, preset images, uploaded custom images, or AI-generated backgrounds
*/
type BackgroundNode = NodeBase & {
type: "BACKGROUND";
input?: string; // ID of the source node (usually CHARACTER)
output?: string; // Processed image with new background
backgroundType: "color" | "gradient" | "image" | "city" | "photostudio" | "upload" | "custom"; // Type of background to apply
backgroundColor?: string; // Hex color code for solid color backgrounds
// Gradient background properties
gradientDirection?: string; // Direction of gradient (to right, to bottom, radial, etc.)
gradientStartColor?: string; // Starting color of gradient
gradientEndColor?: string; // Ending color of gradient
backgroundImage?: string; // URL/path for preset background images
// City scene properties
citySceneType?: string; // Type of city scene (busy_street, times_square, etc.)
cityTimeOfDay?: string; // Time of day for city scene
// Photo studio properties
studioSetup?: string; // Studio background setup type
studioBackgroundColor?: string; // Color for colored seamless background
studioLighting?: string; // Studio lighting setup
faceCamera?: boolean; // Whether to position character facing camera
customBackgroundImage?: string; // User-uploaded background image data
customPrompt?: string; // AI prompt for generating custom backgrounds
isRunning?: boolean; // Processing state indicator
error?: string | null; // Error message if processing failed
};
/**
* CLOTHES node - Adds or changes clothing on subjects
* Can use preset clothing styles or custom uploaded clothing images
*/
type ClothesNode = NodeBase & {
type: "CLOTHES";
input?: string; // ID of the source node
output?: string; // Image with modified clothing
clothesImage?: string; // Custom clothing image to apply
selectedPreset?: string; // Preset clothing style identifier
clothesPrompt?: string; // Text description for clothing changes
isRunning?: boolean; // Processing state
error?: string | null; // Error message
};
/**
* STYLE node - Applies artistic styles and filters
* Uses AI to transform images with different artistic styles (oil painting, watercolor, etc.)
*/
type StyleNode = NodeBase & {
type: "STYLE";
input?: string; // Source node ID
output?: string; // Styled output image
stylePreset?: string; // Selected artistic style
styleStrength?: number; // How strongly to apply the style (0-100)
isRunning?: boolean; // Processing indicator
error?: string | null; // Error message
};
/**
* EDIT node - General purpose text-based image editing
* Uses natural language prompts to make specific changes to images
*/
type EditNode = NodeBase & {
type: "EDIT";
input?: string; // Input node ID
output?: string; // Edited output image
editPrompt?: string; // Natural language description of desired changes
isRunning?: boolean; // Whether edit is being processed
error?: string | null; // Error if edit failed
};
/**
* CAMERA node - Applies camera effects and photographic settings
* Simulates different camera settings, lenses, and photographic techniques
*/
type CameraNode = NodeBase & {
type: "CAMERA";
input?: string; // Source image node ID
output?: string; // Image with camera effects applied
focalLength?: string; // Lens focal length (e.g., "50mm", "85mm")
aperture?: string; // Aperture setting (e.g., "f/1.4", "f/2.8")
shutterSpeed?: string; // Shutter speed (e.g., "1/60", "1/125")
whiteBalance?: string; // Color temperature setting
angle?: string; // Camera angle/perspective
iso?: string; // ISO sensitivity setting
filmStyle?: string; // Film simulation (e.g., "Kodak", "Fuji")
lighting?: string; // Lighting setup description
bokeh?: string; // Background blur style
composition?: string; // Composition technique
aspectRatio?: string; // Image aspect ratio
motionBlur?: string; // Motion blur effect
isRunning?: boolean; // Processing status
error?: string | null; // Error message
};
/**
* AGE node - Transforms subject age
* Uses AI to make people appear older or younger while maintaining their identity
*/
type AgeNode = NodeBase & {
type: "AGE";
input?: string; // Input node ID
output?: string; // Age-transformed image
targetAge?: number; // Target age to transform to (in years)
isRunning?: boolean; // Processing indicator
error?: string | null; // Error if transformation failed
};
/**
* FACE node - Modifies facial features and accessories
* Can add/remove facial hair, accessories, change expressions, etc.
*/
type FaceNode = NodeBase & {
type: "FACE";
input?: string; // Source node ID
output?: string; // Modified face image
faceOptions?: { // Collection of face modification options
removePimples?: boolean; // Clean up skin blemishes
addSunglasses?: boolean; // Add sunglasses accessory
addHat?: boolean; // Add hat accessory
changeHairstyle?: string; // New hairstyle description
facialExpression?: string; // Change facial expression
beardStyle?: string; // Add/modify facial hair
selectedMakeup?: string; // Selected makeup style
makeupImage?: string; // Path to makeup reference image
};
isRunning?: boolean; // Processing state
error?: string | null; // Error message
};
/**
* BLEND node - Blends/composites images with adjustable opacity
* Used for subtle image combinations and overlay effects
*/
type BlendNode = NodeBase & {
type: "BLEND";
input?: string; // Primary input node ID
output?: string; // Blended output image
blendStrength?: number; // Blend intensity (0-100 percent)
isRunning?: boolean; // Processing indicator
error?: string | null; // Error message
};
/**
* LIGHTNING node - Applies lighting effects to images
* Uses preset lighting styles and images for realistic lighting effects
*/
type LightningNode = NodeBase & {
type: "LIGHTNING";
input?: string; // Source node ID
output?: string; // Image with lighting applied
selectedLighting?: string; // Selected lighting preset name
lightingPrompt?: string; // Text prompt for lighting effect
lightingStrength?: number; // Intensity of lighting effect (0-100)
isRunning?: boolean; // Processing state
error?: string | null; // Error message
};
/**
* POSES node - Applies pose modifications to subjects
* Uses preset pose images to modify subject poses
*/
type PosesNode = NodeBase & {
type: "POSES";
input?: string; // Source node ID
output?: string; // Image with pose applied
selectedPose?: string; // Selected pose preset name
posePrompt?: string; // Text prompt for pose effect
poseStrength?: number; // How strongly to apply the pose (0-100)
isRunning?: boolean; // Processing state
error?: string | null; // Error message
};
/**
* Union type of all possible node types
* Used for type-safe handling of nodes throughout the application
*/
type AnyNode = CharacterNode | MergeNode | BackgroundNode | ClothesNode | StyleNode | EditNode | CameraNode | AgeNode | FaceNode | BlendNode | LightningNode | PosesNode;
/* ========================================
CONSTANTS AND UTILITY FUNCTIONS
======================================== */
/**
* Default placeholder image for new CHARACTER nodes
* Uses Unsplash image as a starting point before users upload their own images
*/
const DEFAULT_PERSON = "/reo.png";
/**
* Convert File objects to data URLs for image processing
*
* Takes a FileList or array of File objects (from drag/drop or file input)
* and converts each file to a base64 data URL that can be used in img tags
* or sent to APIs for processing.
*
* @param files FileList or File array from input events
* @returns Promise that resolves to array of data URL strings
*/
function toDataUrls(files: FileList | File[]): Promise<string[]> {
const arr = Array.from(files as File[]); // Convert FileList to regular array
return Promise.all(
arr.map(
(file) =>
new Promise<string>((resolve, reject) => {
const r = new FileReader(); // Browser API for reading files
r.onload = () => resolve(r.result as string); // Success: return data URL
r.onerror = reject; // Error: reject promise
r.readAsDataURL(file); // Start reading as base64 data URL
})
)
);
}
/**
* Convert screen pixel coordinates to world coordinates
*
* The editor uses a coordinate system where:
* - Screen coordinates: actual pixel positions on the browser window
* - World coordinates: virtual positions that account for pan/zoom transformations
*
* This function converts mouse/touch positions to world space for accurate node positioning.
*
* @param clientX Mouse X position in screen pixels
* @param clientY Mouse Y position in screen pixels
* @param container Bounding rect of the editor container
* @param tx Current pan transform X offset
* @param ty Current pan transform Y offset
* @param scale Current zoom scale factor
* @returns Object with world coordinates {x, y}
*/
function screenToWorld(
clientX: number,
clientY: number,
container: DOMRect,
tx: number,
ty: number,
scale: number
) {
const x = (clientX - container.left - tx) / scale; // Account for container offset, pan, and zoom
const y = (clientY - container.top - ty) / scale;
return { x, y };
}
function useNodeDrag(
nodeId: string,
scaleRef: React.MutableRefObject<number>,
initial: { x: number; y: number },
onUpdatePosition: (id: string, x: number, y: number) => void
) {
const [localPos, setLocalPos] = useState(initial);
const dragging = useRef(false);
const start = useRef<{ sx: number; sy: number; ox: number; oy: number } | null>(
null
);
useEffect(() => {
setLocalPos(initial);
}, [initial.x, initial.y]);
const onPointerDown = (e: React.PointerEvent) => {
e.stopPropagation();
dragging.current = true;
start.current = { sx: e.clientX, sy: e.clientY, ox: localPos.x, oy: localPos.y };
(e.currentTarget as HTMLElement).setPointerCapture(e.pointerId);
};
const onPointerMove = (e: React.PointerEvent) => {
if (!dragging.current || !start.current) return;
const dx = (e.clientX - start.current.sx) / scaleRef.current;
const dy = (e.clientY - start.current.sy) / scaleRef.current;
const newX = start.current.ox + dx;
const newY = start.current.oy + dy;
setLocalPos({ x: newX, y: newY });
onUpdatePosition(nodeId, newX, newY);
};
const onPointerUp = (e: React.PointerEvent) => {
dragging.current = false;
start.current = null;
(e.currentTarget as HTMLElement).releasePointerCapture(e.pointerId);
};
return { pos: localPos, onPointerDown, onPointerMove, onPointerUp };
}
function Port({
className,
nodeId,
isOutput,
onStartConnection,
onEndConnection
}: {
className?: string;
nodeId?: string;
isOutput?: boolean;
onStartConnection?: (nodeId: string) => void;
onEndConnection?: (nodeId: string) => void;
}) {
const handlePointerDown = (e: React.PointerEvent) => {
e.stopPropagation();
if (isOutput && nodeId && onStartConnection) {
onStartConnection(nodeId);
}
};
const handlePointerUp = (e: React.PointerEvent) => {
e.stopPropagation();
if (!isOutput && nodeId && onEndConnection) {
onEndConnection(nodeId);
}
};
return (
<div
className={cx("nb-port", className)}
onPointerDown={handlePointerDown}
onPointerUp={handlePointerUp}
onPointerEnter={handlePointerUp}
/>
);
}
function CharacterNodeView({
node,
scaleRef,
onChangeImage,
onChangeLabel,
onStartConnection,
onUpdatePosition,
onDelete,
}: {
node: CharacterNode;
scaleRef: React.MutableRefObject<number>;
onChangeImage: (id: string, url: string) => void;
onChangeLabel: (id: string, label: string) => void;
onStartConnection: (nodeId: string) => void;
onUpdatePosition: (id: string, x: number, y: number) => void;
onDelete: (id: string) => void;
}) {
const { pos, onPointerDown, onPointerMove, onPointerUp } = useNodeDrag(
node.id,
scaleRef,
{ x: node.x, y: node.y },
onUpdatePosition
);
const onDrop = async (e: React.DragEvent) => {
e.preventDefault();
const f = e.dataTransfer.files;
if (f && f.length) {
const [first] = await toDataUrls(f);
if (first) onChangeImage(node.id, first);
}
};
const onPaste = async (e: React.ClipboardEvent) => {
const items = e.clipboardData.items;
const files: File[] = [];
for (let i = 0; i < items.length; i++) {
const it = items[i];
if (it.type.startsWith("image/")) {
const f = it.getAsFile();
if (f) files.push(f);
}
}
if (files.length) {
const [first] = await toDataUrls(files);
if (first) onChangeImage(node.id, first);
return;
}
const text = e.clipboardData.getData("text");
if (text && (text.startsWith("http") || text.startsWith("data:image"))) {
onChangeImage(node.id, text);
}
};
return (
<div
className="nb-node absolute text-white w-[340px] select-none"
style={{ left: pos.x, top: pos.y }}
onDrop={onDrop}
onDragOver={(e) => e.preventDefault()}
onPaste={onPaste}
>
<div
className="nb-header cursor-grab active:cursor-grabbing rounded-t-[14px] px-3 py-2 flex items-center justify-between"
onPointerDown={onPointerDown}
onPointerMove={onPointerMove}
onPointerUp={onPointerUp}
>
<input
className="bg-transparent outline-none text-sm font-semibold tracking-wide flex-1"
value={node.label || "CHARACTER"}
onChange={(e) => onChangeLabel(node.id, e.target.value)}
/>
<div className="flex items-center gap-2">
<Button
variant="ghost" size="icon" className="text-destructive hover:bg-destructive/20 h-6 w-6"
onClick={(e) => {
e.stopPropagation();
e.preventDefault();
if (confirm('Delete this character node?')) {
onDelete(node.id);
}
}}
onPointerDown={(e) => e.stopPropagation()}
title="Delete node"
aria-label="Delete node"
>
Γ
</Button>
<Port
className="out"
nodeId={node.id}
isOutput={true}
onStartConnection={onStartConnection}
/>
</div>
</div>
<div className="p-3 space-y-3">
<div className="aspect-[4/5] w-full rounded-xl bg-black/40 grid place-items-center overflow-hidden">
<img
src={node.image}
alt="character"
className="h-full w-full object-contain cursor-pointer hover:opacity-80 transition-opacity"
draggable={false}
onClick={async () => {
try {
const response = await fetch(node.image);
const blob = await response.blob();
await navigator.clipboard.write([
new ClipboardItem({ [blob.type]: blob })
]);
} catch (error) {
console.error('Failed to copy image:', error);
}
}}
onContextMenu={async (e) => {
e.preventDefault();
try {
const response = await fetch(node.image);
const blob = await response.blob();
await navigator.clipboard.write([
new ClipboardItem({ [blob.type]: blob })
]);
// Show visual feedback
const img = e.currentTarget;
const originalFilter = img.style.filter;
img.style.filter = "brightness(1.2)";
setTimeout(() => {
img.style.filter = originalFilter;
}, 500);
} catch (error) {
console.error('Failed to copy image:', error);
}
}}
title="Click or right-click to copy image to clipboard"
/>
</div>
<div className="flex gap-2">
<label className="text-xs bg-white/10 hover:bg-white/20 rounded px-3 py-1 cursor-pointer">
Upload
<input
type="file"
accept="image/*"
className="hidden"
onChange={async (e) => {
const files = e.currentTarget.files;
if (files && files.length > 0) {
const [first] = await toDataUrls(files);
if (first) onChangeImage(node.id, first);
// Reset input safely
try {
e.currentTarget.value = "";
} catch {}
}
}}
/>
</label>
<button
className="text-xs bg-white/10 hover:bg-white/20 rounded px-3 py-1"
onClick={async () => {
try {
const text = await navigator.clipboard.readText();
if (text && (text.startsWith("http") || text.startsWith("data:image"))) {
onChangeImage(node.id, text);
}
} catch {}
}}
>
Paste URL
</button>
</div>
</div>
</div>
);
}
function MergeNodeView({
node,
scaleRef,
allNodes,
onDisconnect,
onRun,
onEndConnection,
onStartConnection,
onUpdatePosition,
onDelete,
onClearConnections,
}: {
node: MergeNode;
scaleRef: React.MutableRefObject<number>;
allNodes: AnyNode[];
onDisconnect: (mergeId: string, nodeId: string) => void;
onRun: (mergeId: string) => void;
onEndConnection: (mergeId: string) => void;
onStartConnection: (nodeId: string) => void;
onUpdatePosition: (id: string, x: number, y: number) => void;
onDelete: (id: string) => void;
onClearConnections: (mergeId: string) => void;
}) {
const { pos, onPointerDown, onPointerMove, onPointerUp } = useNodeDrag(
node.id,
scaleRef,
{ x: node.x, y: node.y },
onUpdatePosition
);
return (
<div className="nb-node absolute text-white w-[420px]" style={{ left: pos.x, top: pos.y }}>
<div
className="nb-header cursor-grab active:cursor-grabbing rounded-t-[14px] px-3 py-2 flex items-center justify-between"
onPointerDown={onPointerDown}
onPointerMove={onPointerMove}
onPointerUp={onPointerUp}
>
<Port
className="in"
nodeId={node.id}
isOutput={false}
onEndConnection={onEndConnection}
/>
<div className="font-semibold tracking-wide text-sm flex-1 text-center">MERGE</div>
<div className="flex items-center gap-2">
<Button
variant="ghost"
size="icon"
className="text-destructive hover:bg-destructive/20 h-6 w-6"
onClick={(e) => {
e.stopPropagation();
e.preventDefault();
if (confirm('Delete this merge node?')) {
onDelete(node.id);
}
}}
onPointerDown={(e) => e.stopPropagation()}
title="Delete node"
aria-label="Delete node"
>
Γ
</Button>
<Port
className="out"
nodeId={node.id}
isOutput={true}
onStartConnection={onStartConnection}
/>
</div>
</div>
<div className="p-3 space-y-3">
<div className="text-xs text-white/70">Inputs</div>
<div className="flex flex-wrap gap-2">
{node.inputs.map((id) => {
const inputNode = allNodes.find((n) => n.id === id);
if (!inputNode) return null;
// Get image and label based on node type
let image: string | null = null;
let label = "";
if (inputNode.type === "CHARACTER") {
image = (inputNode as CharacterNode).image;
label = (inputNode as CharacterNode).label || "Character";
} else if ((inputNode as any).output) {
image = (inputNode as any).output;
label = `${inputNode.type}`;
} else if (inputNode.type === "MERGE" && (inputNode as MergeNode).output) {
const mergeOutput = (inputNode as MergeNode).output;
image = mergeOutput !== undefined ? mergeOutput : null;
label = "Merged";
} else {
// Node without output yet
label = `${inputNode.type} (pending)`;
}
return (
<div key={id} className="flex items-center gap-2 bg-white/10 rounded px-2 py-1">
{image && (
<div className="w-6 h-6 rounded overflow-hidden bg-black/20">
<img
src={image}
className="w-full h-full object-contain cursor-pointer hover:opacity-80"
alt="inp"
onClick={async () => {
try {
const response = await fetch(image);
const blob = await response.blob();
await navigator.clipboard.write([
new ClipboardItem({ [blob.type]: blob })
]);
} catch (error) {
console.error('Failed to copy image:', error);
}
}}
onContextMenu={async (e) => {
e.preventDefault();
try {
const response = await fetch(image);
const blob = await response.blob();
await navigator.clipboard.write([
new ClipboardItem({ [blob.type]: blob })
]);
// Show visual feedback
const img = e.currentTarget;
const originalFilter = img.style.filter;
img.style.filter = "brightness(1.2)";
setTimeout(() => {
img.style.filter = originalFilter;
}, 300);
} catch (error) {
console.error('Failed to copy image:', error);
}
}}
title="Click or right-click to copy"
/>
</div>
)}
<span className="text-xs">{label}</span>
<button
className="text-[10px] text-red-300 hover:text-red-200"
onClick={() => onDisconnect(node.id, id)}
>
remove
</button>
</div>
);
})}
</div>
{node.inputs.length === 0 && (
<p className="text-xs text-white/40">Drag from any node's output port to connect</p>
)}
<div className="flex items-center gap-2">
{node.inputs.length > 0 && (
<Button
variant="destructive"
size="sm"
onClick={() => onClearConnections(node.id)}
title="Clear all connections"
>
Clear
</Button>
)}
<Button
size="sm"
onClick={() => onRun(node.id)}
disabled={node.isRunning || node.inputs.length < 2}
>
{node.isRunning ? "Mergingβ¦" : "Merge"}
</Button>
</div>
<div className="mt-2">
<div className="flex items-center justify-between mb-1">
<div className="text-xs text-white/70">Output</div>
</div>
<div className="w-full min-h-[200px] max-h-[400px] rounded-xl bg-black/40 grid place-items-center">
{node.output ? (
<img
src={node.output}
className="w-full h-auto max-h-[400px] object-contain rounded-xl cursor-pointer hover:opacity-80 transition-opacity"
alt="output"
onClick={async () => {
if (node.output) {
try {
const response = await fetch(node.output);
const blob = await response.blob();
await navigator.clipboard.write([
new ClipboardItem({ [blob.type]: blob })
]);
} catch (error) {
console.error('Failed to copy image:', error);
}
}
}}
onContextMenu={async (e) => {
e.preventDefault();
if (node.output) {
try {
const response = await fetch(node.output);
const blob = await response.blob();
await navigator.clipboard.write([
new ClipboardItem({ [blob.type]: blob })
]);
// Show visual feedback
const img = e.currentTarget;
const originalFilter = img.style.filter;
img.style.filter = "brightness(1.2)";
setTimeout(() => {
img.style.filter = originalFilter;
}, 500);
} catch (error) {
console.error('Failed to copy image:', error);
}
}
}}
title="Click or right-click to copy image to clipboard"
/>
) : (
<span className="text-white/40 text-xs py-16">Run merge to see result</span>
)}
</div>
{node.output && (
<div className="mt-2">
<Button
className="w-full"
variant="secondary"
onClick={() => {
const link = document.createElement('a');
link.href = node.output as string;
link.download = `merge-${Date.now()}.png`;
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
}}
>
π₯ Download Merged Image
</Button>
</div>
)}
{node.error && (
<div className="mt-2">
<div className="text-xs text-red-400">{node.error}</div>
{node.error.includes("API key") && (
<div className="text-xs text-white/50 mt-2 space-y-1">
<p>To fix this:</p>
<ol className="list-decimal list-inside space-y-1">
<li>Get key from: <a href="https://aistudio.google.com/app/apikey" target="_blank" className="text-blue-400 hover:underline">Google AI Studio</a></li>
<li>Edit .env.local file in project root</li>
<li>Replace placeholder with your key</li>
<li>Restart server (Ctrl+C, npm run dev)</li>
</ol>
</div>
)}
</div>
)}
</div>
</div>
</div>
);
}
export default function EditorPage() {
const [nodes, setNodes] = useState<AnyNode[]>(() => [
{
id: uid(),
type: "CHARACTER",
x: 80,
y: 120,
image: DEFAULT_PERSON,
label: "CHARACTER 1",
} as CharacterNode,
]);
// Viewport state
const [scale, setScale] = useState(1);
const [tx, setTx] = useState(0);
const [ty, setTy] = useState(0);
const containerRef = useRef<HTMLDivElement>(null);
const scaleRef = useRef(scale);
useEffect(() => {
scaleRef.current = scale;
}, [scale]);
// HF OAUTH CHECK
useEffect(() => {
(async () => {
setIsCheckingAuth(true);
try {
// Handle OAuth redirect if present
const oauth = await oauthHandleRedirectIfPresent();
if (oauth) {
// Store the token server-side
await fetch('/api/auth/callback', {
method: 'POST',
body: JSON.stringify({ hf_token: oauth.accessToken }),
headers: { 'Content-Type': 'application/json' }
});
setIsHfProLoggedIn(true);
} else {
// Check if already logged in
const response = await fetch('/api/auth/callback', { method: 'GET' });
if (response.ok) {
const data = await response.json();
setIsHfProLoggedIn(data.isLoggedIn);
}
}
} catch (error) {
console.error('OAuth error:', error);
} finally {
setIsCheckingAuth(false);
}
})();
}, []);
// HF PRO LOGIN HANDLER
const handleHfProLogin = async () => {
if (isHfProLoggedIn) {
// Logout: clear the token
try {
await fetch('/api/auth/callback', { method: 'DELETE' });
setIsHfProLoggedIn(false);
} catch (error) {
console.error('Logout error:', error);
}
} else {
// Login with HF OAuth
const clientId = process.env.NEXT_PUBLIC_OAUTH_CLIENT_ID;
if (!clientId) {
console.error('OAuth client ID not configured');
alert('OAuth client ID not configured. Please check environment variables.');
return;
}
window.location.href = await oauthLoginUrl({
clientId,
redirectUrl: `${window.location.origin}/api/auth/callback`
});
}
};
// Connection dragging state
const [draggingFrom, setDraggingFrom] = useState<string | null>(null);
const [dragPos, setDragPos] = useState<{x: number, y: number} | null>(null);
// API Token state (restored for manual review)
const [apiToken, setApiToken] = useState("");
const [showHelpSidebar, setShowHelpSidebar] = useState(false);
// HF PRO AUTHENTICATION
const [isHfProLoggedIn, setIsHfProLoggedIn] = useState(false);
const [isCheckingAuth, setIsCheckingAuth] = useState(true);
const characters = nodes.filter((n) => n.type === "CHARACTER") as CharacterNode[];
const merges = nodes.filter((n) => n.type === "MERGE") as MergeNode[];
// Editor actions
const addCharacter = (at?: { x: number; y: number }) => {
setNodes((prev) => [
...prev,
{
id: uid(),
type: "CHARACTER",
x: at ? at.x : 80 + Math.random() * 60,
y: at ? at.y : 120 + Math.random() * 60,
image: DEFAULT_PERSON,
label: `CHARACTER ${prev.filter((n) => n.type === "CHARACTER").length + 1}`,
} as CharacterNode,
]);
};
const addMerge = (at?: { x: number; y: number }) => {
setNodes((prev) => [
...prev,
{
id: uid(),
type: "MERGE",
x: at ? at.x : 520,
y: at ? at.y : 160,
inputs: [],
} as MergeNode,
]);
};
const setCharacterImage = (id: string, url: string) => {
setNodes((prev) =>
prev.map((n) => (n.id === id && n.type === "CHARACTER" ? { ...n, image: url } : n))
);
};
const setCharacterLabel = (id: string, label: string) => {
setNodes((prev) => prev.map((n) => (n.id === id && n.type === "CHARACTER" ? { ...n, label } : n)));
};
const updateNodePosition = (id: string, x: number, y: number) => {
setNodes((prev) => prev.map((n) => (n.id === id ? { ...n, x, y } : n)));
};
const deleteNode = (id: string) => {
setNodes((prev) => {
// If it's a MERGE node, just remove it
// If it's a CHARACTER node, also remove it from all MERGE inputs
return prev
.filter((n) => n.id !== id)
.map((n) => {
if (n.type === "MERGE") {
const merge = n as MergeNode;
return {
...merge,
inputs: merge.inputs.filter((inputId) => inputId !== id),
};
}
return n;
});
});
};
const clearMergeConnections = (mergeId: string) => {
setNodes((prev) =>
prev.map((n) =>
n.id === mergeId && n.type === "MERGE"
? { ...n, inputs: [] }
: n
)
);
};
// Update any node's properties
const updateNode = (id: string, updates: any) => {
setNodes((prev) => prev.map((n) => (n.id === id ? { ...n, ...updates } : n)));
};
// Handle single input connections for new nodes
const handleEndSingleConnection = (nodeId: string) => {
if (draggingFrom) {
// Find the source node
const sourceNode = nodes.find(n => n.id === draggingFrom);
if (sourceNode) {
// Allow connections from ANY node that has an output port
// This includes:
// - CHARACTER nodes (always have an image)
// - MERGE nodes (can have output after merging)
// - Any processing node (BACKGROUND, CLOTHES, BLEND, etc.)
// - Even unprocessed nodes (for configuration chaining)
// All nodes can be connected for chaining
setNodes(prev => prev.map(n =>
n.id === nodeId ? { ...n, input: draggingFrom } : n
));
}
setDraggingFrom(null);
setDragPos(null);
// Re-enable text selection
document.body.style.userSelect = '';
document.body.style.webkitUserSelect = '';
}
};
// Helper to count pending configurations in chain
const countPendingConfigurations = (startNodeId: string): number => {
let count = 0;
const visited = new Set<string>();
const traverse = (nodeId: string) => {
if (visited.has(nodeId)) return;
visited.add(nodeId);
const node = nodes.find(n => n.id === nodeId);
if (!node) return;
// Check if this node has configuration but no output
if (!(node as any).output && node.type !== "CHARACTER" && node.type !== "MERGE") {
const config = getNodeConfiguration(node);
if (Object.keys(config).length > 0) {
count++;
}
}
// Check upstream
const upstreamId = (node as any).input;
if (upstreamId) {
traverse(upstreamId);
}
};
traverse(startNodeId);
return count;
};
// Helper to extract configuration from a node
const getNodeConfiguration = (node: AnyNode): Record<string, unknown> => {
const config: Record<string, unknown> = {};
switch (node.type) {
case "BACKGROUND":
if ((node as BackgroundNode).backgroundType) {
const bgNode = node as BackgroundNode;
config.backgroundType = bgNode.backgroundType;
config.backgroundColor = bgNode.backgroundColor;
config.backgroundImage = bgNode.backgroundImage;
config.customBackgroundImage = bgNode.customBackgroundImage;
config.customPrompt = bgNode.customPrompt;
// Gradient properties
if (bgNode.backgroundType === "gradient") {
config.gradientDirection = bgNode.gradientDirection;
config.gradientStartColor = bgNode.gradientStartColor;
config.gradientEndColor = bgNode.gradientEndColor;
}
// City scene properties
if (bgNode.backgroundType === "city") {
config.citySceneType = bgNode.citySceneType;
config.cityTimeOfDay = bgNode.cityTimeOfDay;
}
// Photo studio properties
if (bgNode.backgroundType === "photostudio") {
config.studioSetup = bgNode.studioSetup;
config.studioBackgroundColor = bgNode.studioBackgroundColor;
config.studioLighting = bgNode.studioLighting;
config.faceCamera = bgNode.faceCamera;
}
}
break;
case "CLOTHES":
if ((node as ClothesNode).clothesImage) {
config.clothesImage = (node as ClothesNode).clothesImage;
config.selectedPreset = (node as ClothesNode).selectedPreset;
}
break;
case "STYLE":
if ((node as StyleNode).stylePreset) {
config.stylePreset = (node as StyleNode).stylePreset;
config.styleStrength = (node as StyleNode).styleStrength;
}
break;
case "EDIT":
if ((node as EditNode).editPrompt) {
config.editPrompt = (node as EditNode).editPrompt;
}
break;
case "CAMERA":
const cam = node as CameraNode;
if (cam.focalLength && cam.focalLength !== "None") config.focalLength = cam.focalLength;
if (cam.aperture && cam.aperture !== "None") config.aperture = cam.aperture;
if (cam.shutterSpeed && cam.shutterSpeed !== "None") config.shutterSpeed = cam.shutterSpeed;
if (cam.whiteBalance && cam.whiteBalance !== "None") config.whiteBalance = cam.whiteBalance;
if (cam.angle && cam.angle !== "None") config.angle = cam.angle;
if (cam.iso && cam.iso !== "None") config.iso = cam.iso;
if (cam.filmStyle && cam.filmStyle !== "None") config.filmStyle = cam.filmStyle;
if (cam.lighting && cam.lighting !== "None") config.lighting = cam.lighting;
if (cam.bokeh && cam.bokeh !== "None") config.bokeh = cam.bokeh;
if (cam.composition && cam.composition !== "None") config.composition = cam.composition;
if (cam.aspectRatio && cam.aspectRatio !== "None") config.aspectRatio = cam.aspectRatio;
if (cam.motionBlur && cam.motionBlur !== "None") config.motionBlur = cam.motionBlur;
break;
case "AGE":
if ((node as AgeNode).targetAge) {
config.targetAge = (node as AgeNode).targetAge;
}
break;
case "FACE":
const face = node as FaceNode;
if (face.faceOptions) {
const opts: Record<string, unknown> = {};
if (face.faceOptions.removePimples) opts.removePimples = true;
if (face.faceOptions.addSunglasses) opts.addSunglasses = true;
if (face.faceOptions.addHat) opts.addHat = true;
if (face.faceOptions.changeHairstyle && face.faceOptions.changeHairstyle !== "None") {
opts.changeHairstyle = face.faceOptions.changeHairstyle;
}
if (face.faceOptions.facialExpression && face.faceOptions.facialExpression !== "None") {
opts.facialExpression = face.faceOptions.facialExpression;
}
if (face.faceOptions.beardStyle && face.faceOptions.beardStyle !== "None") {
opts.beardStyle = face.faceOptions.beardStyle;
}
if (Object.keys(opts).length > 0) {
config.faceOptions = opts;
}
}
break;
case "LIGHTNING":
if ((node as LightningNode).lightingPrompt && (node as LightningNode).selectedLighting) {
config.lightingPrompt = (node as LightningNode).lightingPrompt;
config.selectedLighting = (node as LightningNode).selectedLighting;
}
break;
case "POSES":
if ((node as PosesNode).posePrompt && (node as PosesNode).selectedPose) {
config.posePrompt = (node as PosesNode).posePrompt;
config.selectedPose = (node as PosesNode).selectedPose;
}
break;
}
return config;
};
// Process node with API
const processNode = async (nodeId: string) => {
const node = nodes.find(n => n.id === nodeId);
if (!node) {
console.error("Node not found:", nodeId);
return;
}
// Get input image and collect all configurations from chain
let inputImage: string | null = null;
let accumulatedParams: any = {};
const processedNodes: string[] = []; // Track which nodes' configs we're applying
const inputId = (node as any).input;
if (inputId) {
// Track unprocessed MERGE nodes that need to be executed
const unprocessedMerges: MergeNode[] = [];
// Find the source image by traversing the chain backwards
const findSourceImage = (currentNodeId: string, visited: Set<string> = new Set()): string | null => {
if (visited.has(currentNodeId)) return null;
visited.add(currentNodeId);
const currentNode = nodes.find(n => n.id === currentNodeId);
if (!currentNode) return null;
// If this is a CHARACTER node, return its image
if (currentNode.type === "CHARACTER") {
return (currentNode as CharacterNode).image;
}
// If this is a MERGE node with output, return its output
if (currentNode.type === "MERGE" && (currentNode as MergeNode).output) {
return (currentNode as MergeNode).output || null;
}
// If any node has been processed, return its output
if ((currentNode as any).output) {
return (currentNode as any).output;
}
// For MERGE nodes without output, we need to process them first
if (currentNode.type === "MERGE") {
const merge = currentNode as MergeNode;
if (!merge.output && merge.inputs.length >= 2) {
// Mark this merge for processing
unprocessedMerges.push(merge);
// For now, return null - we'll process the merge first
return null;
} else if (merge.inputs.length > 0) {
// Try to get image from first input if merge can't be executed
const firstInput = merge.inputs[0];
const inputImage = findSourceImage(firstInput, visited);
if (inputImage) return inputImage;
}
}
// Otherwise, check upstream
const upstreamId = (currentNode as any).input;
if (upstreamId) {
return findSourceImage(upstreamId, visited);
}
return null;
};
// Collect all configurations from unprocessed nodes in the chain
const collectConfigurations = (currentNodeId: string, visited: Set<string> = new Set()): any => {
if (visited.has(currentNodeId)) return {};
visited.add(currentNodeId);
const currentNode = nodes.find(n => n.id === currentNodeId);
if (!currentNode) return {};
let configs: any = {};
// First, collect from upstream nodes
const upstreamId = (currentNode as any).input;
if (upstreamId) {
configs = collectConfigurations(upstreamId, visited);
}
// Add this node's configuration only if:
// 1. It's the current node being processed, OR
// 2. It hasn't been processed yet (no output) AND it's not the current node
const shouldIncludeConfig =
currentNodeId === nodeId || // Always include current node's config
(!(currentNode as any).output && currentNodeId !== nodeId); // Include unprocessed intermediate nodes
if (shouldIncludeConfig) {
const nodeConfig = getNodeConfiguration(currentNode);
if (Object.keys(nodeConfig).length > 0) {
configs = { ...configs, ...nodeConfig };
// Track unprocessed intermediate nodes
if (currentNodeId !== nodeId && !(currentNode as any).output) {
processedNodes.push(currentNodeId);
}
}
}
return configs;
};
// Find the source image
inputImage = findSourceImage(inputId);
// If we found unprocessed merges, we need to execute them first
if (unprocessedMerges.length > 0 && !inputImage) {
// Process each merge node
for (const merge of unprocessedMerges) {
// Set loading state for the merge
setNodes(prev => prev.map(n =>
n.id === merge.id ? { ...n, isRunning: true, error: null } : n
));
try {
const mergeOutput = await executeMerge(merge);
// Update the merge node with output
setNodes(prev => prev.map(n =>
n.id === merge.id ? { ...n, output: mergeOutput || undefined, isRunning: false, error: null } : n
));
// Track that we processed this merge as part of the chain
processedNodes.push(merge.id);
// Now use this as our input image if it's the direct input
if (inputId === merge.id) {
inputImage = mergeOutput;
}
} catch (e: any) {
console.error("Auto-merge error:", e);
setNodes(prev => prev.map(n =>
n.id === merge.id ? { ...n, isRunning: false, error: e?.message || "Merge failed" } : n
));
// Abort the main processing if merge failed
setNodes(prev => prev.map(n =>
n.id === nodeId ? { ...n, error: "Failed to process upstream MERGE node", isRunning: false } : n
));
return;
}
}
// After processing merges, try to find the source image again
if (!inputImage) {
inputImage = findSourceImage(inputId);
}
}
// Collect configurations from the chain
accumulatedParams = collectConfigurations(inputId, new Set());
}
if (!inputImage) {
const errorMsg = inputId
? "No source image found in the chain. Connect to a CHARACTER node or processed node."
: "No input connected. Connect an image source to this node.";
setNodes(prev => prev.map(n =>
n.id === nodeId ? { ...n, error: errorMsg, isRunning: false } : n
));
return;
}
// Add current node's configuration
const currentNodeConfig = getNodeConfiguration(node);
const params = { ...accumulatedParams, ...currentNodeConfig };
// Count how many unprocessed nodes we're combining
const unprocessedNodeCount = Object.keys(params).length > 0 ?
(processedNodes.length + 1) : 1;
// Show info about batch processing
if (unprocessedNodeCount > 1) {
} else {
}
// Set loading state for all nodes being processed
setNodes(prev => prev.map(n => {
if (n.id === nodeId || processedNodes.includes(n.id)) {
return { ...n, isRunning: true, error: null };
}
return n;
}));
try {
// Validate image data before sending
if (inputImage && inputImage.length > 10 * 1024 * 1024) { // 10MB limit warning
console.warn("Large input image detected, size:", (inputImage.length / (1024 * 1024)).toFixed(2) + "MB");
}
// Check if params contains custom images and validate them
if (params.clothesImage) {
// Validate it's a proper data URL
if (!params.clothesImage.startsWith('data:') && !params.clothesImage.startsWith('http') && !params.clothesImage.startsWith('/')) {
throw new Error("Invalid clothes image format. Please upload a valid image.");
}
}
if (params.customBackgroundImage) {
// Validate it's a proper data URL
if (!params.customBackgroundImage.startsWith('data:') && !params.customBackgroundImage.startsWith('http') && !params.customBackgroundImage.startsWith('/')) {
throw new Error("Invalid background image format. Please upload a valid image.");
}
}
// Log request details for debugging
// ORIGINAL PROCESSING LOGIC RESTORED (HF processing commented out)
/*
// Only use HF + fal.ai processing
if (!isHfProLoggedIn) {
setNodes(prev => prev.map(n =>
n.id === nodeId ? { ...n, error: "Please login with HF Pro to use fal.ai processing", isRunning: false } : n
));
return;
}
// Make a SINGLE API call with fal.ai processing
const res = await fetch("/api/hf-process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
type: "COMBINED",
image: inputImage,
params
}),
});
*/
// Make a SINGLE API call with all accumulated parameters
const res = await fetch("/api/process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
type: "COMBINED", // Indicate this is a combined processing
image: inputImage,
params,
apiToken: apiToken || undefined
}),
});
// Check if response is actually JSON before parsing
const contentType = res.headers.get("content-type");
if (!contentType || !contentType.includes("application/json")) {
const textResponse = await res.text();
console.error("Non-JSON response received:", textResponse);
throw new Error("Server returned an error page instead of JSON. Check your API key configuration.");
}
const data = await res.json();
if (!res.ok) {
// Handle both string and object error formats
const errorMessage = typeof data.error === 'string'
? data.error
: data.error?.message || JSON.stringify(data.error) || "Processing failed";
throw new Error(errorMessage);
}
// Only update the current node with the output
// Don't show output in intermediate nodes - they were just used for configuration
setNodes(prev => prev.map(n => {
if (n.id === nodeId) {
// Only the current node gets the final output displayed
return { ...n, output: data.image, isRunning: false, error: null };
} else if (processedNodes.includes(n.id)) {
// Mark intermediate nodes as no longer running but don't give them output
// This way they remain unprocessed visually but their configs were used
return { ...n, isRunning: false, error: null };
}
return n;
}));
// Add to node's history
const description = unprocessedNodeCount > 1
? `Combined ${unprocessedNodeCount} transformations`
: `${node.type} transformation`;
if (unprocessedNodeCount > 1) {
}
} catch (e: any) {
console.error("Process error:", e);
// Clear loading state for all nodes
setNodes(prev => prev.map(n => {
if (n.id === nodeId || processedNodes.includes(n.id)) {
return { ...n, isRunning: false, error: e?.message || "Error" };
}
return n;
}));
}
};
const connectToMerge = (mergeId: string, nodeId: string) => {
setNodes((prev) =>
prev.map((n) =>
n.id === mergeId && n.type === "MERGE"
? { ...n, inputs: Array.from(new Set([...(n as MergeNode).inputs, nodeId])) }
: n
)
);
};
// Connection drag handlers
const handleStartConnection = (nodeId: string) => {
setDraggingFrom(nodeId);
// Prevent text selection during dragging
document.body.style.userSelect = 'none';
document.body.style.webkitUserSelect = 'none';
};
const handleEndConnection = (mergeId: string) => {
if (draggingFrom) {
// Allow connections from any node type that could have an output
const sourceNode = nodes.find(n => n.id === draggingFrom);
if (sourceNode) {
// Allow connections from:
// - CHARACTER nodes (always have an image)
// - Any node with an output (processed nodes)
// - Any processing node (for future processing)
connectToMerge(mergeId, draggingFrom);
}
setDraggingFrom(null);
setDragPos(null);
// Re-enable text selection
document.body.style.userSelect = '';
document.body.style.webkitUserSelect = '';
}
};
const handlePointerMove = (e: React.PointerEvent) => {
if (draggingFrom) {
const rect = containerRef.current!.getBoundingClientRect();
const world = screenToWorld(e.clientX, e.clientY, rect, tx, ty, scale);
setDragPos(world);
}
};
const handlePointerUp = () => {
if (draggingFrom) {
setDraggingFrom(null);
setDragPos(null);
// Re-enable text selection
document.body.style.userSelect = '';
document.body.style.webkitUserSelect = '';
}
};
const disconnectFromMerge = (mergeId: string, nodeId: string) => {
setNodes((prev) =>
prev.map((n) =>
n.id === mergeId && n.type === "MERGE"
? { ...n, inputs: (n as MergeNode).inputs.filter((i) => i !== nodeId) }
: n
)
);
};
const executeMerge = async (merge: MergeNode): Promise<string | null> => {
// Get images from merge inputs - now accepts any node type
const mergeImages: string[] = [];
const inputData: { image: string; label: string }[] = [];
for (const inputId of merge.inputs) {
const inputNode = nodes.find(n => n.id === inputId);
if (inputNode) {
let image: string | null = null;
let label = "";
if (inputNode.type === "CHARACTER") {
image = (inputNode as CharacterNode).image;
label = (inputNode as CharacterNode).label || "";
} else if ((inputNode as any).output) {
// Any processed node with output
image = (inputNode as any).output;
label = `${inputNode.type} Output`;
} else if (inputNode.type === "MERGE" && (inputNode as MergeNode).output) {
// Another merge node's output
const mergeOutput = (inputNode as MergeNode).output;
image = mergeOutput !== undefined ? mergeOutput : null;
label = "Merged Image";
}
if (image) {
// Validate image format
if (!image.startsWith('data:') && !image.startsWith('http') && !image.startsWith('/')) {
console.error(`Invalid image format for ${label}:`, image.substring(0, 100));
continue; // Skip invalid images
}
mergeImages.push(image);
inputData.push({ image, label: label || `Input ${mergeImages.length}` });
}
}
}
if (mergeImages.length < 2) {
throw new Error("Not enough valid inputs for merge. Need at least 2 images.");
}
// Log merge details for debugging
const prompt = generateMergePrompt(inputData);
// ORIGINAL MERGE LOGIC RESTORED (HF processing commented out)
/*
const res = await fetch("/api/hf-process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
type: "MERGE",
images: mergeImages,
prompt
}),
});
*/
// Use the process route instead of merge route
const res = await fetch("/api/process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
type: "MERGE",
images: mergeImages,
prompt,
apiToken: apiToken || undefined
}),
});
// Check if response is actually JSON before parsing
const contentType = res.headers.get("content-type");
if (!contentType || !contentType.includes("application/json")) {
const textResponse = await res.text();
console.error("Non-JSON response received:", textResponse);
throw new Error("Server returned an error page instead of JSON. Check your API key configuration.");
}
const data = await res.json();
if (!res.ok) {
throw new Error(data.error || "Merge failed");
}
return data.image || (data.images?.[0] as string) || null;
};
const runMerge = async (mergeId: string) => {
setNodes((prev) => prev.map((n) => (n.id === mergeId && n.type === "MERGE" ? { ...n, isRunning: true, error: null } : n)));
try {
const merge = (nodes.find((n) => n.id === mergeId) as MergeNode) || null;
if (!merge) return;
// Get input nodes with their labels - now accepts any node type
const inputData = merge.inputs
.map((id, index) => {
const inputNode = nodes.find((n) => n.id === id);
if (!inputNode) return null;
// Support CHARACTER nodes, processed nodes, and MERGE outputs
let image: string | null = null;
let label = "";
if (inputNode.type === "CHARACTER") {
image = (inputNode as CharacterNode).image;
label = (inputNode as CharacterNode).label || `CHARACTER ${index + 1}`;
} else if ((inputNode as any).output) {
// Any processed node with output
image = (inputNode as any).output;
label = `${inputNode.type} Output ${index + 1}`;
} else if (inputNode.type === "MERGE" && (inputNode as MergeNode).output) {
// Another merge node's output
const mergeOutput = (inputNode as MergeNode).output;
image = mergeOutput !== undefined ? mergeOutput : null;
label = `Merged Image ${index + 1}`;
}
if (!image) return null;
return { image, label };
})
.filter(Boolean) as { image: string; label: string }[];
if (inputData.length < 2) throw new Error("Connect at least two nodes with images (CHARACTER nodes or processed nodes).");
// Debug: Log what we're sending
// Generate dynamic prompt based on number of inputs
const prompt = generateMergePrompt(inputData);
const imgs = inputData.map(d => d.image);
// ORIGINAL RUNMERGE LOGIC RESTORED (HF processing commented out)
/*
if (!isHfProLoggedIn) {
throw new Error("Please login with HF Pro to use fal.ai processing");
}
const res = await fetch("/api/hf-process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
type: "MERGE",
images: imgs,
prompt
}),
});
*/
// Use the process route with MERGE type
const res = await fetch("/api/process", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
type: "MERGE",
images: imgs,
prompt,
apiToken: apiToken || undefined
}),
});
// Check if response is actually JSON before parsing
const contentType = res.headers.get("content-type");
if (!contentType || !contentType.includes("application/json")) {
const textResponse = await res.text();
console.error("Non-JSON response received:", textResponse);
throw new Error("Server returned an error page instead of JSON. Check your API key configuration.");
}
const js = await res.json();
if (!res.ok) {
// Show more helpful error messages
const errorMsg = js.error || "Merge failed";
if (errorMsg.includes("API key")) {
throw new Error("API key not configured. Add GOOGLE_API_KEY to .env.local");
}
throw new Error(errorMsg);
}
const out = js.image || (js.images?.[0] as string) || null;
setNodes((prev) => prev.map((n) => (n.id === mergeId && n.type === "MERGE" ? { ...n, output: out, isRunning: false } : n)));
// Add merge result to node's history
if (out) {
const inputLabels = merge.inputs.map((id, index) => {
const inputNode = nodes.find(n => n.id === id);
if (inputNode?.type === "CHARACTER") {
return (inputNode as CharacterNode).label || `Character ${index + 1}`;
}
return `${inputNode?.type || 'Node'} ${index + 1}`;
});
}
} catch (e: any) {
console.error("Merge error:", e);
setNodes((prev) => prev.map((n) => (n.id === mergeId && n.type === "MERGE" ? { ...n, isRunning: false, error: e?.message || "Error" } : n)));
}
};
// Calculate SVG bounds for connection lines
const svgBounds = useMemo(() => {
let minX = 0, minY = 0, maxX = 1000, maxY = 1000;
nodes.forEach(node => {
minX = Math.min(minX, node.x - 100);
minY = Math.min(minY, node.y - 100);
maxX = Math.max(maxX, node.x + 500);
maxY = Math.max(maxY, node.y + 500);
});
return {
x: minX,
y: minY,
width: maxX - minX,
height: maxY - minY
};
}, [nodes]);
// Connection paths with bezier curves
const connectionPaths = useMemo(() => {
const getNodeOutputPort = (n: AnyNode) => {
// Different nodes have different widths
const widths: Record<string, number> = {
CHARACTER: 340,
MERGE: 420,
BACKGROUND: 320,
CLOTHES: 320,
BLEND: 320,
EDIT: 320,
CAMERA: 360,
AGE: 280,
FACE: 340,
};
const width = widths[n.type] || 320;
return { x: n.x + width - 10, y: n.y + 25 };
};
const getNodeInputPort = (n: AnyNode) => ({ x: n.x + 10, y: n.y + 25 });
const createPath = (x1: number, y1: number, x2: number, y2: number) => {
const dx = x2 - x1;
const dy = y2 - y1;
const distance = Math.sqrt(dx * dx + dy * dy);
const controlOffset = Math.min(200, Math.max(50, distance * 0.3));
return `M ${x1} ${y1} C ${x1 + controlOffset} ${y1}, ${x2 - controlOffset} ${y2}, ${x2} ${y2}`;
};
const paths: { path: string; active?: boolean; processing?: boolean }[] = [];
// Handle all connections
for (const node of nodes) {
if (node.type === "MERGE") {
// MERGE node with multiple inputs
const merge = node as MergeNode;
for (const inputId of merge.inputs) {
const inputNode = nodes.find(n => n.id === inputId);
if (inputNode) {
const start = getNodeOutputPort(inputNode);
const end = getNodeInputPort(node);
const isProcessing = merge.isRunning; // Only animate to the currently processing merge node
paths.push({
path: createPath(start.x, start.y, end.x, end.y),
processing: isProcessing
});
}
}
} else if ((node as any).input) {
// Single input nodes
const inputId = (node as any).input;
const inputNode = nodes.find(n => n.id === inputId);
if (inputNode) {
const start = getNodeOutputPort(inputNode);
const end = getNodeInputPort(node);
const isProcessing = (node as any).isRunning; // Only animate to the currently processing node
paths.push({
path: createPath(start.x, start.y, end.x, end.y),
processing: isProcessing
});
}
}
}
// Dragging path
if (draggingFrom && dragPos) {
const sourceNode = nodes.find(n => n.id === draggingFrom);
if (sourceNode) {
const start = getNodeOutputPort(sourceNode);
paths.push({
path: createPath(start.x, start.y, dragPos.x, dragPos.y),
active: true
});
}
}
return paths;
}, [nodes, draggingFrom, dragPos]);
// Panning & zooming
const isPanning = useRef(false);
const panStart = useRef<{ sx: number; sy: number; ox: number; oy: number } | null>(null);
const onBackgroundPointerDown = (e: React.PointerEvent<HTMLDivElement>) => {
// Only pan if clicking directly on the background
if (e.target !== e.currentTarget && !((e.target as HTMLElement).tagName === "svg" || (e.target as HTMLElement).tagName === "line")) return;
isPanning.current = true;
panStart.current = { sx: e.clientX, sy: e.clientY, ox: tx, oy: ty };
(e.currentTarget as HTMLElement).setPointerCapture(e.pointerId);
};
const onBackgroundPointerMove = (e: React.PointerEvent<HTMLDivElement>) => {
if (!isPanning.current || !panStart.current) return;
const dx = e.clientX - panStart.current.sx;
const dy = e.clientY - panStart.current.sy;
setTx(panStart.current.ox + dx);
setTy(panStart.current.oy + dy);
};
const onBackgroundPointerUp = (e: React.PointerEvent<HTMLDivElement>) => {
isPanning.current = false;
panStart.current = null;
(e.currentTarget as HTMLElement).releasePointerCapture(e.pointerId);
};
const onWheel = (e: React.WheelEvent<HTMLDivElement>) => {
e.preventDefault();
const rect = containerRef.current!.getBoundingClientRect();
const oldScale = scaleRef.current;
const factor = Math.exp(-e.deltaY * 0.0015);
const newScale = Math.min(2.5, Math.max(0.25, oldScale * factor));
const { x: wx, y: wy } = screenToWorld(e.clientX, e.clientY, rect, tx, ty, oldScale);
// keep cursor anchored while zooming
const ntx = e.clientX - rect.left - wx * newScale;
const nty = e.clientY - rect.top - wy * newScale;
setTx(ntx);
setTy(nty);
setScale(newScale);
};
// Context menu for adding nodes
const [menuOpen, setMenuOpen] = useState(false);
const [menuPos, setMenuPos] = useState<{ x: number; y: number }>({ x: 0, y: 0 });
const [menuWorld, setMenuWorld] = useState<{ x: number; y: number }>({ x: 0, y: 0 });
const onContextMenu = (e: React.MouseEvent<HTMLDivElement>) => {
e.preventDefault();
const rect = containerRef.current!.getBoundingClientRect();
const world = screenToWorld(e.clientX, e.clientY, rect, tx, ty, scale);
setMenuWorld(world);
// Menu dimensions
const menuWidth = 224; // w-56 = 224px
const menuHeight = 320; // Approximate height with max-h-[300px] + padding
// Calculate position relative to container
let x = e.clientX - rect.left;
let y = e.clientY - rect.top;
// Adjust if menu would go off right edge
if (x + menuWidth > rect.width) {
x = rect.width - menuWidth - 10;
}
// Adjust if menu would go off bottom edge
if (y + menuHeight > rect.height) {
y = rect.height - menuHeight - 10;
}
// Ensure minimum margins from edges
x = Math.max(10, x);
y = Math.max(10, y);
setMenuPos({ x, y });
setMenuOpen(true);
};
const addFromMenu = (kind: NodeType) => {
const commonProps = {
id: uid(),
x: menuWorld.x,
y: menuWorld.y,
};
switch(kind) {
case "CHARACTER":
addCharacter(menuWorld);
break;
case "MERGE":
addMerge(menuWorld);
break;
case "BACKGROUND":
setNodes(prev => [...prev, { ...commonProps, type: "BACKGROUND", backgroundType: "color" } as BackgroundNode]);
break;
case "CLOTHES":
setNodes(prev => [...prev, { ...commonProps, type: "CLOTHES" } as ClothesNode]);
break;
case "BLEND":
setNodes(prev => [...prev, { ...commonProps, type: "BLEND", blendStrength: 50 } as BlendNode]);
break;
case "STYLE":
setNodes(prev => [...prev, { ...commonProps, type: "STYLE", styleStrength: 50 } as StyleNode]);
break;
case "CAMERA":
setNodes(prev => [...prev, { ...commonProps, type: "CAMERA" } as CameraNode]);
break;
case "AGE":
setNodes(prev => [...prev, { ...commonProps, type: "AGE", targetAge: 30 } as AgeNode]);
break;
case "FACE":
setNodes(prev => [...prev, { ...commonProps, type: "FACE", faceOptions: {} } as FaceNode]);
break;
case "EDIT":
setNodes(prev => [...prev, { ...commonProps, type: "EDIT" } as EditNode]);
break;
case "LIGHTNING":
setNodes(prev => [...prev, { ...commonProps, type: "LIGHTNING", lightingStrength: 75 } as LightningNode]);
break;
case "POSES":
setNodes(prev => [...prev, { ...commonProps, type: "POSES", poseStrength: 60 } as PosesNode]);
break;
}
setMenuOpen(false);
};
return (
<div className="min-h-[100svh] bg-background text-foreground">
<header className="flex items-center justify-between px-6 py-4 border-b border-border/60 bg-card/70 backdrop-blur">
<h1 className="text-lg font-semibold tracking-wide">
<span className="mr-2" aria-hidden>π</span>Nano Banana Editor
</h1>
<div className="flex items-center gap-3">
{/* ORIGINAL API TOKEN INPUT RESTORED */}
<label htmlFor="api-token" className="text-sm font-medium text-muted-foreground">
API Token:
</label>
<Input
id="api-token"
type="password"
placeholder="Enter your Google Gemini API token"
value={apiToken}
onChange={(e) => setApiToken(e.target.value)}
className="w-64"
/>
<Button
variant="outline"
size="sm"
className="h-8 px-3"
type="button"
onClick={() => setShowHelpSidebar(true)}
>
Help
</Button>
</div>
</header>
{/* Help Sidebar */}
{showHelpSidebar && (
<>
{/* Backdrop */}
<div
className="fixed inset-0 bg-black/50 z-[9998]"
onClick={() => setShowHelpSidebar(false)}
/>
{/* Sidebar */}
<div className="fixed right-0 top-0 h-full w-96 bg-card/95 backdrop-blur border-l border-border/60 shadow-xl z-[9999] overflow-y-auto">
<div className="p-6">
<div className="flex items-center justify-between mb-6">
<h2 className="text-xl font-semibold text-foreground">Help & Guide</h2>
<Button
variant="ghost"
size="sm"
className="h-8 w-8 p-0"
onClick={() => setShowHelpSidebar(false)}
>
<span className="text-lg">Γ</span>
</Button>
</div>
<div className="space-y-6">
{/* ORIGINAL HELP CONTENT RESTORED (HF help commented out) */}
{/*
<div>
<h3 className="font-semibold mb-3 text-foreground">π€ HF Pro Login</h3>
<div className="text-sm text-muted-foreground space-y-3">
<div className="p-3 bg-primary/10 border border-primary/20 rounded-lg">
<p className="font-medium text-primary mb-2">Step 1: Login with Hugging Face</p>
<p>Click "Login HF PRO" to authenticate with your Hugging Face account.</p>
</div>
<div className="p-3 bg-secondary border border-border rounded-lg">
<p className="font-medium text-secondary-foreground mb-2">Step 2: Access fal.ai Models</p>
<p>Once logged in, you'll have access to fal.ai's Gemini 2.5 Flash Image models.</p>
</div>
<div className="p-3 bg-accent border border-border rounded-lg">
<p className="font-medium text-accent-foreground mb-2">Step 3: Start Creating</p>
<p>Use the powerful fal.ai models for image generation, merging, editing, and style transfers.</p>
</div>
</div>
</div>
*/}
<div>
<h3 className="font-semibold mb-3 text-foreground">π API Token Setup</h3>
<div className="text-sm text-muted-foreground space-y-3">
<div className="p-3 bg-primary/10 border border-primary/20 rounded-lg">
<p className="font-medium text-primary mb-2">Step 1: Get Your API Key</p>
<p>Visit <a href="https://aistudio.google.com/app/apikey" target="_blank" rel="noopener noreferrer" className="text-primary hover:underline font-medium">Google AI Studio</a> to create your free Gemini API key.</p>
</div>
<div className="p-3 bg-secondary border border-border rounded-lg">
<p className="font-medium text-secondary-foreground mb-2">Step 2: Add Your Token</p>
<p>Paste your API key in the "API Token" field in the top navigation bar.</p>
</div>
<div className="p-3 bg-accent border border-border rounded-lg">
<p className="font-medium text-accent-foreground mb-2">Step 3: Start Creating</p>
<p>Your token enables all AI features: image generation, merging, editing, and style transfers.</p>
</div>
</div>
</div>
<div>
<h3 className="font-semibold mb-3 text-foreground">π¨ How to Use the Editor</h3>
<div className="text-sm text-muted-foreground space-y-2">
<p>β’ <strong>Adding Nodes:</strong> Right-click on the editor canvas and choose the node type you want, then drag and drop to position it</p>
<p>β’ <strong>Character Nodes:</strong> Upload or drag images to create character nodes</p>
<p>β’ <strong>Merge Nodes:</strong> Connect multiple characters to create group photos</p>
<p>β’ <strong>Style Nodes:</strong> Apply artistic styles and filters</p>
<p>β’ <strong>Background Nodes:</strong> Change or generate new backgrounds</p>
<p>β’ <strong>Edit Nodes:</strong> Make specific modifications with text prompts</p>
</div>
</div>
<div className="p-4 bg-muted border border-border rounded-lg">
<h4 className="font-semibold text-foreground mb-2">π Privacy & Security</h4>
<div className="text-sm text-muted-foreground space-y-1">
{/* ORIGINAL PRIVACY INFO RESTORED (HF privacy info commented out) */}
{/*
<p>β’ Your HF token is stored securely in HTTP-only cookies</p>
<p>β’ Authentication happens through Hugging Face OAuth</p>
<p>β’ You can logout anytime to revoke access</p>
<p>β’ Processing happens via fal.ai's secure infrastructure</p>
*/}
<p>β’ Your API token is stored locally in your browser</p>
<p>β’ Tokens are never sent to our servers</p>
<p>β’ Keep your API key secure and don't share it</p>
<p>β’ You can revoke keys anytime in Google AI Studio</p>
</div>
</div>
</div>
</div>
</div>
</>
)}
<div
ref={containerRef}
className="relative w-full h-[calc(100svh-56px)] overflow-hidden nb-canvas"
style={{
imageRendering: "auto",
transform: "translateZ(0)",
willChange: "contents"
}}
onContextMenu={onContextMenu}
onPointerDown={onBackgroundPointerDown}
onPointerMove={(e) => {
onBackgroundPointerMove(e);
handlePointerMove(e);
}}
onPointerUp={(e) => {
onBackgroundPointerUp(e);
handlePointerUp();
}}
onPointerLeave={(e) => {
onBackgroundPointerUp(e);
handlePointerUp();
}}
onWheel={onWheel}
>
<div
className="absolute left-0 top-0 will-change-transform"
style={{
transform: `translate3d(${tx}px, ${ty}px, 0) scale(${scale})`,
transformOrigin: "0 0",
transformStyle: "preserve-3d",
backfaceVisibility: "hidden"
}}
>
<svg
className="absolute pointer-events-none z-0"
style={{
left: `${svgBounds.x}px`,
top: `${svgBounds.y}px`,
width: `${svgBounds.width}px`,
height: `${svgBounds.height}px`
}}
viewBox={`${svgBounds.x} ${svgBounds.y} ${svgBounds.width} ${svgBounds.height}`}
>
<defs>
<filter id="glow">
<feGaussianBlur stdDeviation="3" result="coloredBlur"/>
<feMerge>
<feMergeNode in="coloredBlur"/>
<feMergeNode in="SourceGraphic"/>
</feMerge>
</filter>
</defs>
{connectionPaths.map((p, idx) => (
<path
key={idx}
className={p.processing ? "connection-processing connection-animated" : ""}
d={p.path}
fill="none"
stroke={p.processing ? undefined : (p.active ? "hsl(var(--primary))" : "hsl(var(--muted-foreground))")}
strokeWidth={p.processing ? undefined : "2.5"}
strokeDasharray={p.active && !p.processing ? "5,5" : undefined}
style={p.active && !p.processing ? undefined : (!p.processing ? { opacity: 0.9 } : {})}
/>
))}
</svg>
<div className="relative z-10">
{nodes.map((node) => {
switch (node.type) {
case "CHARACTER":
return (
<CharacterNodeView
key={node.id}
node={node as CharacterNode}
scaleRef={scaleRef}
onChangeImage={setCharacterImage}
onChangeLabel={setCharacterLabel}
onStartConnection={handleStartConnection}
onUpdatePosition={updateNodePosition}
onDelete={deleteNode}
/>
);
case "MERGE":
return (
<MergeNodeView
key={node.id}
node={node as MergeNode}
scaleRef={scaleRef}
allNodes={nodes}
onDisconnect={disconnectFromMerge}
onRun={runMerge}
onEndConnection={handleEndConnection}
onStartConnection={handleStartConnection}
onUpdatePosition={updateNodePosition}
onDelete={deleteNode}
onClearConnections={clearMergeConnections}
/>
);
case "BACKGROUND":
return (
<BackgroundNodeView
key={node.id}
node={node as BackgroundNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
apiToken={apiToken}
/>
);
case "CLOTHES":
return (
<ClothesNodeView
key={node.id}
node={node as ClothesNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
case "STYLE":
return (
<StyleNodeView
key={node.id}
node={node as StyleNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
case "EDIT":
return (
<EditNodeView
key={node.id}
node={node as EditNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
apiToken={apiToken}
/>
);
case "CAMERA":
return (
<CameraNodeView
key={node.id}
node={node as CameraNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
case "AGE":
return (
<AgeNodeView
key={node.id}
node={node as AgeNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
case "FACE":
return (
<FaceNodeView
key={node.id}
node={node as FaceNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
case "LIGHTNING":
return (
<LightningNodeView
key={node.id}
node={node as LightningNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
case "POSES":
return (
<PosesNodeView
key={node.id}
node={node as PosesNode}
onDelete={deleteNode}
onUpdate={updateNode}
onStartConnection={handleStartConnection}
onEndConnection={handleEndSingleConnection}
onProcess={processNode}
onUpdatePosition={updateNodePosition}
/>
);
default:
return null;
}
})}
</div>
</div>
{menuOpen && (
<div
className="absolute z-50 rounded-xl border border-white/10 bg-[#111]/95 backdrop-blur p-1 w-56 shadow-2xl"
style={{ left: menuPos.x, top: menuPos.y }}
onMouseLeave={() => setMenuOpen(false)}
>
<div className="px-3 py-2 text-xs text-white/60">Add node</div>
<div
className="max-h-[300px] overflow-y-auto scrollbar-thin pr-1"
onWheel={(e) => e.stopPropagation()}
>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("CHARACTER")}>CHARACTER</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("MERGE")}>MERGE</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("BACKGROUND")}>BACKGROUND</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("CLOTHES")}>CLOTHES</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("STYLE")}>STYLE</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("EDIT")}>EDIT</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("CAMERA")}>CAMERA</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("AGE")}>AGE</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("FACE")}>FACE</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("LIGHTNING")}>LIGHTNING</button>
<button className="w-full text-left px-3 py-2 text-sm hover:bg-white/10 rounded-lg" onClick={() => addFromMenu("POSES")}>POSES</button>
</div>
</div>
)}
</div>
</div>
);
}
|