Spaces:
Running
Running
burtenshaw
commited on
Commit
·
ea3f4d3
0
Parent(s):
first commit
Browse files- .gitignore +29 -0
- .vscode/launch.json +66 -0
- package-lock.json +1492 -0
- package.json +18 -0
- src/app.html +12 -0
- src/routes/+page.svelte +765 -0
- src/routes/api/generate-image/+server.js +51 -0
- src/routes/api/search-loras/+server.js +78 -0
- svelte.config.js +18 -0
- vite.config.js +6 -0
.gitignore
ADDED
@@ -0,0 +1,29 @@
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/build
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/node_modules
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/.svelte-kit
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/package
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.env
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.env.*
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!.env.example
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!.env.example.*
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# Optional npm cache directory
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.npm
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# Optional eslint cache
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.eslintcache
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# Optional REPL history
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.node_repl_history
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# Output of 'npm pack'
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*.tgz
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# Yarn Integrity file
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.yarn-integrity
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# dotenv environment variables file
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.env
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# SvelteKit Generated Files
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.svelte-kit/
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.vscode/launch.json
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@@ -0,0 +1,66 @@
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{
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Launch SvelteKit Dev Server",
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"type": "node-terminal",
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"request": "launch",
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"command": "npm run dev",
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"cwd": "${workspaceFolder}",
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"envFile": "${workspaceFolder}/.env", // Keep consistent env loading
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"serverReadyAction": {
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"pattern": "Local:\\\\s+(http://localhost:\\\\d+)", // Pattern to detect server ready
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"uriFormat": "%s",
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"action": "debugWithChrome" // Launch Chrome debugger when ready
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},
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"presentation": {
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"hidden": false,
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"group": "SvelteKit",
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"order": 0 // Put it first
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}
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},
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{
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"name": "Attach to SvelteKit Dev Server",
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"type": "node", // Use 'node' for attaching
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"request": "attach",
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"port": 9229, // Default Node.js inspect port, Vite might need config to use this
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"skipFiles": [
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"<node_internals>/**",
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"**/node_modules/**"
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],
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"sourceMaps": true, // Enable source maps for debugging TS/Svelte
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"smartStep": true,
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// Ensure environment variables from .env are loaded by the process you attach to
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// (npm run dev usually handles this via Vite's dotenv support)
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"envFile": "${workspaceFolder}/.env", // Correct for project at root
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"restart": true, // Automatically try to re-attach
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"presentation": {
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"hidden": false,
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"group": "SvelteKit",
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"order": 1
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}
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},
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{
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"name": "Launch Chrome against localhost",
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"type": "chrome",
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"request": "launch",
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"url": "http://localhost:5173", // Default Vite port
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"webRoot": "${workspaceFolder}/src", // Corrected webRoot
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"sourceMaps": true,
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"presentation": {
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"hidden": false,
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"group": "SvelteKit",
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"order": 2
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}
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}
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],
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"compounds": [
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{
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"name": "SvelteKit: Full Stack Debug",
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"configurations": [
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"Attach to SvelteKit Dev Server",
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"Launch Chrome against localhost"
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]
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}
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]
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}
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package-lock.json
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@@ -0,0 +1,1492 @@
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@@ -0,0 +1,18 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"type": "module",
|
3 |
+
"dependencies": {
|
4 |
+
"@huggingface/inference": "^3.9.2"
|
5 |
+
},
|
6 |
+
"scripts": {
|
7 |
+
"dev": "vite dev",
|
8 |
+
"build": "vite build",
|
9 |
+
"preview": "vite preview"
|
10 |
+
},
|
11 |
+
"devDependencies": {
|
12 |
+
"@sveltejs/adapter-auto": "^6.0.0",
|
13 |
+
"@sveltejs/kit": "^2.20.7",
|
14 |
+
"@sveltejs/vite-plugin-svelte": "^5.0.3",
|
15 |
+
"svelte": "^5.28.2",
|
16 |
+
"vite": "^6.3.3"
|
17 |
+
}
|
18 |
+
}
|
src/app.html
ADDED
@@ -0,0 +1,12 @@
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
|
1 |
+
<!doctype html>
|
2 |
+
<html lang="en">
|
3 |
+
<head>
|
4 |
+
<meta charset="utf-8" />
|
5 |
+
<link rel="icon" href="%sveltekit.assets%/favicon.png" />
|
6 |
+
<meta name="viewport" content="width=device-width, initial-scale=1" />
|
7 |
+
%sveltekit.head%
|
8 |
+
</head>
|
9 |
+
<body data-sveltekit-preload-data="hover">
|
10 |
+
<div style="display: contents">%sveltekit.body%</div>
|
11 |
+
</body>
|
12 |
+
</html>
|
src/routes/+page.svelte
ADDED
@@ -0,0 +1,765 @@
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|
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|
|
|
|
|
|
|
|
1 |
+
<script>
|
2 |
+
import { onDestroy, tick } from 'svelte';
|
3 |
+
|
4 |
+
// Core state
|
5 |
+
let mainPrompt = '';
|
6 |
+
let loraSearchQuery = '';
|
7 |
+
let foundLoras = []; // Array to store {id: string, author: string}
|
8 |
+
let selectedLoraId = '';
|
9 |
+
let generatedImageUrl = '';
|
10 |
+
|
11 |
+
// Status flags
|
12 |
+
let isSearchingLoras = false;
|
13 |
+
let isGeneratingImage = false;
|
14 |
+
let searchError = '';
|
15 |
+
let generationError = '';
|
16 |
+
|
17 |
+
// Interaction state
|
18 |
+
let showLoraSearch = false; // Controls visibility of LoRA search section
|
19 |
+
let debounceTimeout;
|
20 |
+
let animatedLoadingText = ''; // For animated text during generation
|
21 |
+
let loadingIntervalId = null;
|
22 |
+
|
23 |
+
// --- Phases (Derived Reactively) ---
|
24 |
+
$: isInPromptPhase = !showLoraSearch && !isGeneratingImage && !generatedImageUrl;
|
25 |
+
$: isInLoraSearchPhase = showLoraSearch && !selectedLoraId && !isGeneratingImage && !generatedImageUrl;
|
26 |
+
$: isInLoraSelectedPhase = showLoraSearch && selectedLoraId && !isGeneratingImage && !generatedImageUrl;
|
27 |
+
$: isInGeneratingPhase = isGeneratingImage;
|
28 |
+
$: isInResultPhase = generatedImageUrl && !isGeneratingImage;
|
29 |
+
|
30 |
+
// --- Debounced LoRA Search ---
|
31 |
+
function debounce(func, delay) {
|
32 |
+
return function(...args) {
|
33 |
+
clearTimeout(debounceTimeout);
|
34 |
+
debounceTimeout = setTimeout(() => {
|
35 |
+
func.apply(this, args);
|
36 |
+
}, delay);
|
37 |
+
};
|
38 |
+
}
|
39 |
+
|
40 |
+
async function searchLoras(query) {
|
41 |
+
if (!query || query.trim().length < 3) {
|
42 |
+
foundLoras = [];
|
43 |
+
searchError = query.trim().length > 0 ? 'Enter at least 3 characters.' : '';
|
44 |
+
isSearchingLoras = false;
|
45 |
+
// Don't reset selection if query becomes too short temporarily
|
46 |
+
// selectedLoraId = '';
|
47 |
+
return;
|
48 |
+
}
|
49 |
+
|
50 |
+
isSearchingLoras = true;
|
51 |
+
searchError = '';
|
52 |
+
// Don't clear foundLoras immediately, prevents flicker
|
53 |
+
// foundLoras = [];
|
54 |
+
// selectedLoraId = ''; // Reset selection on new search? Maybe not, allow refinement.
|
55 |
+
generationError = ''; // Clear generation error
|
56 |
+
|
57 |
+
console.log(`Searching for: ${query}`);
|
58 |
+
|
59 |
+
try {
|
60 |
+
const response = await fetch('/api/search-loras', {
|
61 |
+
method: 'POST',
|
62 |
+
headers: { 'Content-Type': 'application/json' },
|
63 |
+
body: JSON.stringify({ query: query })
|
64 |
+
});
|
65 |
+
|
66 |
+
if (!response.ok) {
|
67 |
+
const errorData = await response.json();
|
68 |
+
throw new Error(errorData.message || `HTTP error ${response.status}`);
|
69 |
+
}
|
70 |
+
|
71 |
+
const results = await response.json();
|
72 |
+
|
73 |
+
console.log('Found LoRAs:', results.length, results); // Log results received
|
74 |
+
|
75 |
+
// Check if the previously selected LoRA is still valid in the new results
|
76 |
+
let previousSelectionStillValid = selectedLoraId && results.some(lora => lora.id === selectedLoraId);
|
77 |
+
|
78 |
+
foundLoras = results;
|
79 |
+
|
80 |
+
// If the previous selection is no longer valid, or if nothing was selected,
|
81 |
+
// automatically select the first result if available.
|
82 |
+
if (!previousSelectionStillValid && foundLoras.length > 0) {
|
83 |
+
selectedLoraId = foundLoras[0].id;
|
84 |
+
// Clear any generation error since we made a selection
|
85 |
+
generationError = '';
|
86 |
+
} else if (!previousSelectionStillValid) {
|
87 |
+
// If previous selection invalid AND no new results, clear selection
|
88 |
+
selectedLoraId = '';
|
89 |
+
}
|
90 |
+
// If previousSelectionStillValid is true, selectedLoraId remains unchanged.
|
91 |
+
|
92 |
+
if (foundLoras.length === 0) {
|
93 |
+
searchError = 'No matching LoRAs found.';
|
94 |
+
}
|
95 |
+
} catch (err) {
|
96 |
+
console.error('Search error:', err);
|
97 |
+
searchError = err.message || 'Failed to search.';
|
98 |
+
selectedLoraId = ''; // Reset selection on error
|
99 |
+
foundLoras = []; // Clear results on error
|
100 |
+
} finally {
|
101 |
+
isSearchingLoras = false;
|
102 |
+
}
|
103 |
+
}
|
104 |
+
|
105 |
+
const debouncedSearchLoras = debounce(searchLoras, 400); // 400ms delay
|
106 |
+
|
107 |
+
function handleLoraSearchInput(event) {
|
108 |
+
const query = event.target.value;
|
109 |
+
loraSearchQuery = query;
|
110 |
+
selectedLoraId = ''; // Clear selection when search query changes
|
111 |
+
searchError = '';
|
112 |
+
isSearchingLoras = query.trim().length >= 3;
|
113 |
+
debouncedSearchLoras(query);
|
114 |
+
}
|
115 |
+
|
116 |
+
function handleLoraSelection(loraId) {
|
117 |
+
selectedLoraId = loraId;
|
118 |
+
generationError = ''; // Clear error on selection
|
119 |
+
// No automatic generation, wait for button click
|
120 |
+
}
|
121 |
+
|
122 |
+
// --- Image Generation ---
|
123 |
+
async function generateImage() {
|
124 |
+
if (!selectedLoraId || !mainPrompt || isGeneratingImage) {
|
125 |
+
generationError = 'Prompt and LoRA style must be selected.';
|
126 |
+
return;
|
127 |
+
}
|
128 |
+
|
129 |
+
isGeneratingImage = true;
|
130 |
+
generationError = '';
|
131 |
+
showLoraSearch = false; // Hide search during generation
|
132 |
+
// Clean up previous object URL if it exists
|
133 |
+
if (generatedImageUrl.startsWith('blob:')) {
|
134 |
+
URL.revokeObjectURL(generatedImageUrl);
|
135 |
+
generatedImageUrl = '';
|
136 |
+
}
|
137 |
+
|
138 |
+
try {
|
139 |
+
const response = await fetch('/api/generate-image', {
|
140 |
+
method: 'POST',
|
141 |
+
headers: { 'Content-Type': 'application/json' },
|
142 |
+
body: JSON.stringify({ loraModelId: selectedLoraId, prompt: mainPrompt })
|
143 |
+
});
|
144 |
+
|
145 |
+
if (!response.ok) {
|
146 |
+
let errorMsg = `Generation failed (${response.status})`;
|
147 |
+
try {
|
148 |
+
const errorData = await response.json();
|
149 |
+
errorMsg = errorData.message || errorMsg;
|
150 |
+
} catch (e) { /* Ignore */ }
|
151 |
+
throw new Error(errorMsg);
|
152 |
+
}
|
153 |
+
|
154 |
+
const imageBlob = await response.blob();
|
155 |
+
generatedImageUrl = URL.createObjectURL(imageBlob);
|
156 |
+
} catch (err) {
|
157 |
+
console.error('Generation error:', err);
|
158 |
+
generationError = err.message || 'Failed to generate image.';
|
159 |
+
generatedImageUrl = ''; // Ensure no broken image shows
|
160 |
+
} finally {
|
161 |
+
isGeneratingImage = false;
|
162 |
+
// Stay in result phase (or error)
|
163 |
+
}
|
164 |
+
}
|
165 |
+
|
166 |
+
// --- Keyboard Handling ---
|
167 |
+
function handlePromptKeydown(event) {
|
168 |
+
if (event.key === 'Enter' && !event.shiftKey && mainPrompt.trim()) {
|
169 |
+
event.preventDefault(); // Prevent newline
|
170 |
+
proceedFromPrompt();
|
171 |
+
}
|
172 |
+
}
|
173 |
+
|
174 |
+
// --- Actions ---
|
175 |
+
function proceedFromPrompt() {
|
176 |
+
if (mainPrompt.trim()) {
|
177 |
+
showLoraSearch = true;
|
178 |
+
// Reset LoRA search state if needed
|
179 |
+
loraSearchQuery = '';
|
180 |
+
foundLoras = [];
|
181 |
+
selectedLoraId = '';
|
182 |
+
searchError = '';
|
183 |
+
generationError = '';
|
184 |
+
// Focus the LoRA input shortly after it appears
|
185 |
+
tick().then(() => {
|
186 |
+
const loraInput = document.querySelector('.lora-search-input');
|
187 |
+
if (loraInput) loraInput.focus();
|
188 |
+
});
|
189 |
+
}
|
190 |
+
}
|
191 |
+
|
192 |
+
function goBackToPrompt() {
|
193 |
+
showLoraSearch = false;
|
194 |
+
generationError = '';
|
195 |
+
searchError = '';
|
196 |
+
// Keep prompt value
|
197 |
+
// Focus prompt input
|
198 |
+
tick().then(() => {
|
199 |
+
const promptInput = document.querySelector('.prompt-input');
|
200 |
+
if (promptInput) promptInput.focus();
|
201 |
+
});
|
202 |
+
}
|
203 |
+
|
204 |
+
function startOver() {
|
205 |
+
mainPrompt = '';
|
206 |
+
loraSearchQuery = '';
|
207 |
+
foundLoras = [];
|
208 |
+
selectedLoraId = '';
|
209 |
+
if (generatedImageUrl.startsWith('blob:')) {
|
210 |
+
URL.revokeObjectURL(generatedImageUrl);
|
211 |
+
}
|
212 |
+
generatedImageUrl = '';
|
213 |
+
isSearchingLoras = false;
|
214 |
+
isGeneratingImage = false;
|
215 |
+
searchError = '';
|
216 |
+
generationError = '';
|
217 |
+
showLoraSearch = false;
|
218 |
+
// Focus prompt input
|
219 |
+
tick().then(() => {
|
220 |
+
const promptInput = document.querySelector('.prompt-input');
|
221 |
+
if (promptInput) promptInput.focus();
|
222 |
+
});
|
223 |
+
}
|
224 |
+
|
225 |
+
// --- Single Button Logic ---
|
226 |
+
$: buttonText = (() => {
|
227 |
+
if (isInGeneratingPhase) return 'Generating...';
|
228 |
+
if (isInResultPhase) return 'Start Over';
|
229 |
+
if (isInLoraSelectedPhase) return 'Generate Image';
|
230 |
+
if (isInLoraSearchPhase) return 'Select a Style'; // Or maybe disabled?
|
231 |
+
if (isInPromptPhase) return 'Choose Style →';
|
232 |
+
return '...'; // Default/fallback
|
233 |
+
})();
|
234 |
+
|
235 |
+
$: isButtonDisabled = (() => {
|
236 |
+
if (isInGeneratingPhase) return true;
|
237 |
+
if (isInResultPhase) return false; // Always allow start over
|
238 |
+
if (isInLoraSelectedPhase) return false; // Ready to generate
|
239 |
+
if (isInLoraSearchPhase) return !selectedLoraId; // Disabled until selection (or enable to go back?) No, separate back button is better
|
240 |
+
if (isInPromptPhase) return !mainPrompt.trim();
|
241 |
+
return true;
|
242 |
+
})();
|
243 |
+
|
244 |
+
function handleButtonClick() {
|
245 |
+
if (isInGeneratingPhase) return; // Should be disabled anyway
|
246 |
+
if (isInResultPhase) {
|
247 |
+
startOver();
|
248 |
+
} else if (isInLoraSelectedPhase) {
|
249 |
+
generateImage();
|
250 |
+
} else if (isInLoraSearchPhase) {
|
251 |
+
// Button should ideally be disabled here until selection. If clicked, do nothing or maybe focus input.
|
252 |
+
} else if (isInPromptPhase) {
|
253 |
+
proceedFromPrompt();
|
254 |
+
}
|
255 |
+
}
|
256 |
+
|
257 |
+
|
258 |
+
// --- Image Error Handling ---
|
259 |
+
function handleImageError(event) {
|
260 |
+
// Hide the broken image
|
261 |
+
event.target.style.display = 'none';
|
262 |
+
// Find and show the error message paragraph that should be right after the image
|
263 |
+
const errorMsgElement = event.target.nextElementSibling;
|
264 |
+
if (errorMsgElement && errorMsgElement.classList.contains('image-load-error')) {
|
265 |
+
errorMsgElement.style.display = 'block';
|
266 |
+
}
|
267 |
+
}
|
268 |
+
|
269 |
+
// --- Reactive Animation Logic ---
|
270 |
+
$: {
|
271 |
+
if (isGeneratingImage && !loadingIntervalId) {
|
272 |
+
const steps = [
|
273 |
+
`Prompt: ${mainPrompt}`,
|
274 |
+
`Style: ${selectedLoraId}`,
|
275 |
+
'Generating...'
|
276 |
+
];
|
277 |
+
let currentStepIndex = 0;
|
278 |
+
|
279 |
+
// Set initial text immediately
|
280 |
+
animatedLoadingText = steps[currentStepIndex];
|
281 |
+
|
282 |
+
loadingIntervalId = setInterval(() => {
|
283 |
+
currentStepIndex = (currentStepIndex + 1) % steps.length;
|
284 |
+
animatedLoadingText = steps[currentStepIndex];
|
285 |
+
}, 1000); // Change text every 1 second
|
286 |
+
} else if (!isGeneratingImage && loadingIntervalId) {
|
287 |
+
clearInterval(loadingIntervalId);
|
288 |
+
loadingIntervalId = null;
|
289 |
+
animatedLoadingText = ''; // Clear text when done
|
290 |
+
}
|
291 |
+
}
|
292 |
+
|
293 |
+
// --- Lifecycle ---
|
294 |
+
onDestroy(() => {
|
295 |
+
clearTimeout(debounceTimeout);
|
296 |
+
if (loadingIntervalId) {
|
297 |
+
clearInterval(loadingIntervalId); // Ensure cleanup on destroy
|
298 |
+
}
|
299 |
+
if (generatedImageUrl.startsWith('blob:')) {
|
300 |
+
URL.revokeObjectURL(generatedImageUrl);
|
301 |
+
}
|
302 |
+
});
|
303 |
+
</script>
|
304 |
+
|
305 |
+
<svelte:head>
|
306 |
+
<title>Image Generator</title>
|
307 |
+
</svelte:head>
|
308 |
+
|
309 |
+
<main class="app-container">
|
310 |
+
|
311 |
+
<!-- Prompt Input -->
|
312 |
+
{#if isInPromptPhase || isInLoraSearchPhase || isInLoraSelectedPhase}
|
313 |
+
<section class="prompt-section" class:hidden={!isInPromptPhase}>
|
314 |
+
<textarea
|
315 |
+
class="prompt-input"
|
316 |
+
bind:value={mainPrompt}
|
317 |
+
placeholder="Describe your image..."
|
318 |
+
rows="3"
|
319 |
+
on:keydown={handlePromptKeydown}
|
320 |
+
disabled={!isInPromptPhase}
|
321 |
+
></textarea>
|
322 |
+
</section>
|
323 |
+
{/if}
|
324 |
+
|
325 |
+
<!-- LoRA Search & Selection -->
|
326 |
+
{#if showLoraSearch && !isInGeneratingPhase && !isInResultPhase}
|
327 |
+
<section class="lora-section">
|
328 |
+
<button class="back-button" on:click={goBackToPrompt} title="Back to Prompt">← Edit Prompt</button>
|
329 |
+
<div class="search-container">
|
330 |
+
<input
|
331 |
+
type="search"
|
332 |
+
class="lora-search-input"
|
333 |
+
bind:value={loraSearchQuery}
|
334 |
+
on:input={handleLoraSearchInput}
|
335 |
+
placeholder="Search for a style (e.g., watercolor)..."
|
336 |
+
disabled={isGeneratingImage}
|
337 |
+
/>
|
338 |
+
{#if isSearchingLoras}<div class="spinner"></div>{/if}
|
339 |
+
</div>
|
340 |
+
|
341 |
+
{#if searchError}<p class="error-message">{searchError}</p>{/if}
|
342 |
+
|
343 |
+
{#if !isSearchingLoras && foundLoras.length > 0}
|
344 |
+
<ul class="lora-list">
|
345 |
+
{#each foundLoras as lora (lora.id)}
|
346 |
+
<li>
|
347 |
+
<button
|
348 |
+
class="lora-item"
|
349 |
+
class:selected={selectedLoraId === lora.id}
|
350 |
+
on:click={() => handleLoraSelection(lora.id)}
|
351 |
+
title={lora.id}
|
352 |
+
>
|
353 |
+
{#if lora.thumbnail}
|
354 |
+
<img
|
355 |
+
src={lora.thumbnail}
|
356 |
+
alt="{lora.id} thumbnail"
|
357 |
+
class="lora-thumbnail"
|
358 |
+
loading="lazy"
|
359 |
+
/>
|
360 |
+
{:else}
|
361 |
+
<div class="lora-thumbnail-placeholder"></div>
|
362 |
+
{/if}
|
363 |
+
<div class="lora-info">
|
364 |
+
<span class="lora-name">{lora.id.split('/').pop()}</span>
|
365 |
+
<span class="lora-author">by {lora.author}</span>
|
366 |
+
</div>
|
367 |
+
</button>
|
368 |
+
</li>
|
369 |
+
{/each}
|
370 |
+
</ul>
|
371 |
+
{:else if !isSearchingLoras && loraSearchQuery.trim().length >= 3 && !searchError}
|
372 |
+
<p class="info-message">No styles found matching "{loraSearchQuery}".</p>
|
373 |
+
{/if}
|
374 |
+
</section>
|
375 |
+
{/if}
|
376 |
+
|
377 |
+
<!-- Generating State -->
|
378 |
+
{#if isInGeneratingPhase}
|
379 |
+
<section class="generating-section">
|
380 |
+
<div class="spinner large"></div>
|
381 |
+
{#key animatedLoadingText} <!-- Use key block for animation trigger -->
|
382 |
+
<p class="loading-text" in:fade={{ duration: 300 }} out:fade={{ duration: 300 }}>
|
383 |
+
{animatedLoadingText}
|
384 |
+
</p>
|
385 |
+
{/key}
|
386 |
+
</section>
|
387 |
+
{/if}
|
388 |
+
|
389 |
+
|
390 |
+
<!-- Result Display -->
|
391 |
+
{#if isInResultPhase}
|
392 |
+
<section class="result-section">
|
393 |
+
{#if generationError}
|
394 |
+
<p class="error-message fatal">{generationError}</p>
|
395 |
+
{/if}
|
396 |
+
{#if generatedImageUrl}
|
397 |
+
<img
|
398 |
+
class="result-image"
|
399 |
+
src={generatedImageUrl}
|
400 |
+
alt="Generated: {mainPrompt}"
|
401 |
+
on:error={handleImageError}
|
402 |
+
/>
|
403 |
+
<p class="error-message image-load-error" style="display: none;">Failed to load generated image.</p>
|
404 |
+
{/if}
|
405 |
+
</section>
|
406 |
+
{/if}
|
407 |
+
|
408 |
+
|
409 |
+
<!-- Action Button -->
|
410 |
+
<div class="action-button-container">
|
411 |
+
{#if !isInGeneratingPhase}
|
412 |
+
<button
|
413 |
+
class="action-button"
|
414 |
+
on:click={handleButtonClick}
|
415 |
+
disabled={isButtonDisabled}
|
416 |
+
>
|
417 |
+
{buttonText}
|
418 |
+
</button>
|
419 |
+
{/if}
|
420 |
+
</div>
|
421 |
+
|
422 |
+
</main>
|
423 |
+
|
424 |
+
<style>
|
425 |
+
:root {
|
426 |
+
--bg-color: #121212; /* Dark background */
|
427 |
+
--primary-color: #bb86fc; /* Purple accent */
|
428 |
+
--primary-variant: #3700b3;
|
429 |
+
--secondary-color: #03dac6; /* Teal accent */
|
430 |
+
--text-color: #e0e0e0; /* Light text */
|
431 |
+
--text-secondary: #a0a0a0; /* Dimmer text */
|
432 |
+
--surface-color: #1e1e1e; /* Slightly lighter surface */
|
433 |
+
--error-color: #cf6679;
|
434 |
+
--border-color: #333;
|
435 |
+
--input-bg: #2a2a2a;
|
436 |
+
--selected-bg: rgba(187, 134, 252, 0.2); /* Semi-transparent primary */
|
437 |
+
}
|
438 |
+
|
439 |
+
/* Basic Reset & Body */
|
440 |
+
* {
|
441 |
+
box-sizing: border-box;
|
442 |
+
margin: 0;
|
443 |
+
padding: 0;
|
444 |
+
}
|
445 |
+
|
446 |
+
html, body {
|
447 |
+
height: 100%;
|
448 |
+
background-color: var(--bg-color);
|
449 |
+
color: var(--text-color);
|
450 |
+
font-family: 'Inter', -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
|
451 |
+
font-size: 16px;
|
452 |
+
line-height: 1.6;
|
453 |
+
overflow: hidden; /* Prevent body scroll */
|
454 |
+
}
|
455 |
+
|
456 |
+
/* Main App Container */
|
457 |
+
.app-container {
|
458 |
+
display: flex;
|
459 |
+
flex-direction: column;
|
460 |
+
height: 100vh; /* Full viewport height */
|
461 |
+
width: 100vw; /* Full viewport width */
|
462 |
+
padding: 2rem;
|
463 |
+
padding-bottom: 8rem; /* Space for action button */
|
464 |
+
overflow-y: auto; /* Allow content scrolling if needed */
|
465 |
+
position: relative;
|
466 |
+
}
|
467 |
+
|
468 |
+
/* Sections */
|
469 |
+
section {
|
470 |
+
width: 100%;
|
471 |
+
max-width: 800px; /* Limit content width */
|
472 |
+
margin: 0 auto; /* Center content */
|
473 |
+
padding: 1rem 0;
|
474 |
+
}
|
475 |
+
|
476 |
+
section.hidden {
|
477 |
+
display: none;
|
478 |
+
}
|
479 |
+
|
480 |
+
/* Prompt Input */
|
481 |
+
.prompt-section {
|
482 |
+
flex-grow: 1; /* Takes up space initially */
|
483 |
+
display: flex;
|
484 |
+
align-items: center; /* Vertically center */
|
485 |
+
justify-content: center;
|
486 |
+
}
|
487 |
+
.prompt-input {
|
488 |
+
width: 100%;
|
489 |
+
padding: 1.5rem;
|
490 |
+
border: 1px solid var(--border-color);
|
491 |
+
border-radius: 8px;
|
492 |
+
font-size: 1.5rem; /* Larger font */
|
493 |
+
line-height: 1.4;
|
494 |
+
background-color: var(--input-bg);
|
495 |
+
color: var(--text-color);
|
496 |
+
resize: none; /* Disable manual resize */
|
497 |
+
transition: all 0.2s ease;
|
498 |
+
min-height: 100px; /* Ensure decent initial height */
|
499 |
+
}
|
500 |
+
.prompt-input:focus {
|
501 |
+
outline: none;
|
502 |
+
border-color: var(--primary-color);
|
503 |
+
box-shadow: 0 0 0 3px rgba(187, 134, 252, 0.3);
|
504 |
+
}
|
505 |
+
.prompt-input:disabled {
|
506 |
+
opacity: 0.5;
|
507 |
+
background-color: #333;
|
508 |
+
}
|
509 |
+
|
510 |
+
/* LoRA Section */
|
511 |
+
.lora-section {
|
512 |
+
position: relative; /* For back button positioning */
|
513 |
+
padding-top: 0; /* Reduce top padding */
|
514 |
+
}
|
515 |
+
.back-button {
|
516 |
+
position: absolute;
|
517 |
+
top: -10px; /* Adjust as needed */
|
518 |
+
left: 0;
|
519 |
+
background: none;
|
520 |
+
border: none;
|
521 |
+
color: var(--text-secondary);
|
522 |
+
padding: 0.5rem;
|
523 |
+
cursor: pointer;
|
524 |
+
font-size: 0.9rem;
|
525 |
+
}
|
526 |
+
.back-button:hover {
|
527 |
+
color: var(--primary-color);
|
528 |
+
}
|
529 |
+
|
530 |
+
.search-container {
|
531 |
+
position: relative;
|
532 |
+
margin-bottom: 1rem;
|
533 |
+
}
|
534 |
+
.lora-search-input {
|
535 |
+
width: 100%;
|
536 |
+
padding: 1rem 1.5rem;
|
537 |
+
padding-right: 3rem; /* Space for spinner */
|
538 |
+
border: 1px solid var(--border-color);
|
539 |
+
border-radius: 8px;
|
540 |
+
font-size: 1.2rem;
|
541 |
+
background-color: var(--input-bg);
|
542 |
+
color: var(--text-color);
|
543 |
+
transition: all 0.2s ease;
|
544 |
+
}
|
545 |
+
.lora-search-input:focus {
|
546 |
+
outline: none;
|
547 |
+
border-color: var(--primary-color);
|
548 |
+
box-shadow: 0 0 0 3px rgba(187, 134, 252, 0.3);
|
549 |
+
}
|
550 |
+
|
551 |
+
.lora-list {
|
552 |
+
list-style: none;
|
553 |
+
max-height: calc(100vh - 260px); /* Increased height */
|
554 |
+
overflow-y: auto;
|
555 |
+
border: 1px solid var(--border-color);
|
556 |
+
border-radius: 8px;
|
557 |
+
background-color: var(--surface-color);
|
558 |
+
}
|
559 |
+
.lora-list li {
|
560 |
+
border-bottom: 1px solid var(--border-color);
|
561 |
+
}
|
562 |
+
.lora-list li:last-child {
|
563 |
+
border-bottom: none;
|
564 |
+
}
|
565 |
+
|
566 |
+
.lora-item {
|
567 |
+
display: flex;
|
568 |
+
justify-content: space-between;
|
569 |
+
align-items: center;
|
570 |
+
width: 100%;
|
571 |
+
padding: 0.8rem 1.2rem;
|
572 |
+
background: none;
|
573 |
+
border: none;
|
574 |
+
color: var(--text-color);
|
575 |
+
cursor: pointer;
|
576 |
+
text-align: left;
|
577 |
+
transition: background-color 0.15s ease;
|
578 |
+
font-size: 1rem;
|
579 |
+
}
|
580 |
+
.lora-item:hover {
|
581 |
+
background-color: rgba(255, 255, 255, 0.05);
|
582 |
+
}
|
583 |
+
.lora-item.selected {
|
584 |
+
background-color: var(--selected-bg);
|
585 |
+
/* font-weight: 600; */ /* Removed to avoid layout shift */
|
586 |
+
/* color: var(--primary-color); */ /* Color applied below */
|
587 |
+
}
|
588 |
+
.lora-thumbnail,
|
589 |
+
.lora-thumbnail-placeholder {
|
590 |
+
width: 40px;
|
591 |
+
height: 40px;
|
592 |
+
border-radius: 4px;
|
593 |
+
margin-right: 12px;
|
594 |
+
object-fit: cover;
|
595 |
+
flex-shrink: 0; /* Prevent shrinking */
|
596 |
+
background-color: var(--input-bg); /* Placeholder bg */
|
597 |
+
}
|
598 |
+
.lora-thumbnail-placeholder {
|
599 |
+
border: 1px dashed var(--border-color);
|
600 |
+
}
|
601 |
+
.lora-info {
|
602 |
+
display: flex;
|
603 |
+
flex-direction: column;
|
604 |
+
overflow: hidden; /* Prevent text overflow */
|
605 |
+
flex-grow: 1;
|
606 |
+
}
|
607 |
+
.lora-item.selected .lora-info .lora-name {
|
608 |
+
color: var(--primary-color);
|
609 |
+
font-weight: 600;
|
610 |
+
}
|
611 |
+
.lora-name {
|
612 |
+
white-space: nowrap;
|
613 |
+
overflow: hidden;
|
614 |
+
text-overflow: ellipsis;
|
615 |
+
/* margin-right: 1rem; */ /* Removed as info is now a column */
|
616 |
+
font-size: 1rem;
|
617 |
+
margin-bottom: 2px; /* Small space between name and author */
|
618 |
+
}
|
619 |
+
.lora-author {
|
620 |
+
font-size: 0.85rem;
|
621 |
+
color: var(--text-secondary);
|
622 |
+
white-space: nowrap;
|
623 |
+
flex-shrink: 0; /* Prevent author from shrinking */
|
624 |
+
}
|
625 |
+
|
626 |
+
|
627 |
+
/* Generating & Result */
|
628 |
+
.generating-section, .result-section {
|
629 |
+
flex-grow: 1;
|
630 |
+
display: flex;
|
631 |
+
flex-direction: column;
|
632 |
+
align-items: center;
|
633 |
+
justify-content: center;
|
634 |
+
text-align: center;
|
635 |
+
}
|
636 |
+
|
637 |
+
.result-image {
|
638 |
+
max-width: 100%;
|
639 |
+
max-height: calc(100vh - 12rem); /* Adjust based on padding/button */
|
640 |
+
height: auto;
|
641 |
+
border-radius: 8px;
|
642 |
+
object-fit: contain;
|
643 |
+
background-color: var(--input-bg); /* Placeholder BG */
|
644 |
+
margin-bottom: 1rem; /* Space before button if image fails */
|
645 |
+
}
|
646 |
+
|
647 |
+
.generating-prompt, .generating-lora {
|
648 |
+
color: var(--text-secondary);
|
649 |
+
font-size: 0.9rem;
|
650 |
+
max-width: 90%;
|
651 |
+
overflow: hidden;
|
652 |
+
text-overflow: ellipsis;
|
653 |
+
white-space: nowrap;
|
654 |
+
}
|
655 |
+
|
656 |
+
|
657 |
+
/* Action Button Container */
|
658 |
+
.action-button-container {
|
659 |
+
position: fixed; /* Stick to bottom */
|
660 |
+
bottom: 0;
|
661 |
+
left: 0;
|
662 |
+
width: 100%;
|
663 |
+
padding: 1.5rem 2rem;
|
664 |
+
display: flex;
|
665 |
+
justify-content: center;
|
666 |
+
background: linear-gradient(to top, var(--bg-color) 60%, transparent); /* Fade background */
|
667 |
+
z-index: 10;
|
668 |
+
}
|
669 |
+
|
670 |
+
.action-button {
|
671 |
+
padding: 1rem 2.5rem;
|
672 |
+
background-color: var(--primary-color);
|
673 |
+
color: #000; /* Black text on primary */
|
674 |
+
border: none;
|
675 |
+
border-radius: 30px; /* Pill shape */
|
676 |
+
font-size: 1.2rem;
|
677 |
+
font-weight: 600;
|
678 |
+
cursor: pointer;
|
679 |
+
transition: all 0.2s ease;
|
680 |
+
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.2);
|
681 |
+
}
|
682 |
+
.action-button:hover:not(:disabled) {
|
683 |
+
background-color: var(--secondary-color);
|
684 |
+
box-shadow: 0 6px 20px rgba(0, 0, 0, 0.3);
|
685 |
+
transform: translateY(-2px);
|
686 |
+
}
|
687 |
+
.action-button:disabled {
|
688 |
+
background-color: #555;
|
689 |
+
color: #999;
|
690 |
+
cursor: not-allowed;
|
691 |
+
opacity: 0.6;
|
692 |
+
box-shadow: none;
|
693 |
+
}
|
694 |
+
|
695 |
+
/* Spinner */
|
696 |
+
.spinner {
|
697 |
+
border: 3px solid rgba(255, 255, 255, 0.3);
|
698 |
+
border-radius: 50%;
|
699 |
+
border-top-color: var(--secondary-color); /* Teal spinner */
|
700 |
+
width: 20px;
|
701 |
+
height: 20px;
|
702 |
+
animation: spin 1s linear infinite;
|
703 |
+
position: absolute;
|
704 |
+
right: 1rem;
|
705 |
+
top: 50%;
|
706 |
+
transform: translateY(-50%);
|
707 |
+
}
|
708 |
+
.spinner.large {
|
709 |
+
width: 50px;
|
710 |
+
height: 50px;
|
711 |
+
border-width: 5px;
|
712 |
+
position: static; /* Reset position */
|
713 |
+
transform: none;
|
714 |
+
margin-bottom: 1rem;
|
715 |
+
}
|
716 |
+
|
717 |
+
@keyframes spin {
|
718 |
+
to { transform: translateY(-50%) rotate(360deg); }
|
719 |
+
}
|
720 |
+
@keyframes spin-large {
|
721 |
+
to { transform: rotate(360deg); }
|
722 |
+
}
|
723 |
+
.spinner.large {
|
724 |
+
animation-name: spin-large;
|
725 |
+
transform: none; /* Override */
|
726 |
+
}
|
727 |
+
|
728 |
+
|
729 |
+
/* Error/Info Messages */
|
730 |
+
.error-message, .info-message {
|
731 |
+
padding: 0.8rem 1.2rem;
|
732 |
+
border-radius: 6px;
|
733 |
+
margin: 1rem auto;
|
734 |
+
text-align: center;
|
735 |
+
max-width: 600px;
|
736 |
+
font-size: 0.95rem;
|
737 |
+
}
|
738 |
+
.error-message {
|
739 |
+
background-color: rgba(207, 102, 121, 0.2); /* Error bg */
|
740 |
+
color: var(--error-color);
|
741 |
+
border: 1px solid var(--error-color);
|
742 |
+
}
|
743 |
+
.error-message.fatal { /* For generation errors */
|
744 |
+
font-size: 1.1rem;
|
745 |
+
margin-bottom: 1rem;
|
746 |
+
}
|
747 |
+
.info-message {
|
748 |
+
background-color: rgba(3, 218, 198, 0.1); /* Secondary color bg */
|
749 |
+
color: var(--secondary-color);
|
750 |
+
border: 1px solid var(--secondary-color);
|
751 |
+
}
|
752 |
+
|
753 |
+
/* Animated Loading Text */
|
754 |
+
.loading-text {
|
755 |
+
margin-top: 1rem;
|
756 |
+
font-size: 1.1rem;
|
757 |
+
color: var(--text-secondary);
|
758 |
+
min-height: 1.5em; /* Prevent layout jump */
|
759 |
+
white-space: nowrap;
|
760 |
+
overflow: hidden;
|
761 |
+
text-overflow: ellipsis;
|
762 |
+
max-width: 90%; /* Ensure it doesn't overflow container */
|
763 |
+
}
|
764 |
+
|
765 |
+
</style>
|
src/routes/api/generate-image/+server.js
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { HF_TOKEN } from "$env/static/private";
|
2 |
+
import { error } from "@sveltejs/kit";
|
3 |
+
import * as HfInference from "@huggingface/inference";
|
4 |
+
|
5 |
+
if (!HF_TOKEN) {
|
6 |
+
console.error("HF_TOKEN environment variable not set.");
|
7 |
+
throw error(500, "Server configuration error: Missing API Token");
|
8 |
+
}
|
9 |
+
|
10 |
+
const client = new HfInference.InferenceClient(HF_TOKEN);
|
11 |
+
|
12 |
+
/** @type {import('./$types').RequestHandler} */
|
13 |
+
export async function POST({ request }) {
|
14 |
+
const { loraModelId, prompt } = await request.json();
|
15 |
+
|
16 |
+
if (!loraModelId) {
|
17 |
+
throw error(400, "Missing loraModelId in request body");
|
18 |
+
}
|
19 |
+
if (!prompt) {
|
20 |
+
throw error(400, "Missing prompt in request body");
|
21 |
+
}
|
22 |
+
|
23 |
+
console.log(
|
24 |
+
`API: Generating image with Fal.ai - LoRA: "${loraModelId}", Prompt: "${prompt}"`
|
25 |
+
);
|
26 |
+
|
27 |
+
try {
|
28 |
+
// Call Fal AI provider using textToImage
|
29 |
+
const imageBlob = await client.textToImage({
|
30 |
+
provider: "fal-ai", // Specify Fal AI as the provider
|
31 |
+
model: loraModelId, // Use the provided loraModelId as the model
|
32 |
+
inputs: prompt, // Use the provided prompt as the input
|
33 |
+
// Optional parameters can be added here if needed
|
34 |
+
});
|
35 |
+
|
36 |
+
console.log("Fal AI image generation successful. Returning Blob.");
|
37 |
+
|
38 |
+
// Return the Blob directly in the response
|
39 |
+
return new Response(imageBlob, {
|
40 |
+
headers: {
|
41 |
+
"Content-Type": imageBlob.type, // Set correct content type (e.g., image/png)
|
42 |
+
},
|
43 |
+
});
|
44 |
+
} catch (err) {
|
45 |
+
console.error("Error during Fal AI textToImage call:", err);
|
46 |
+
// Check if the error object has specific properties for better reporting
|
47 |
+
const message = err.message || "Unknown error during image generation";
|
48 |
+
const status = err.status || 500;
|
49 |
+
throw error(status, `Error generating image via Fal AI: ${message}`);
|
50 |
+
}
|
51 |
+
}
|
src/routes/api/search-loras/+server.js
ADDED
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { HF_TOKEN } from "$env/static/private";
|
2 |
+
import { json, error } from "@sveltejs/kit";
|
3 |
+
|
4 |
+
if (!HF_TOKEN) {
|
5 |
+
console.error("HF_TOKEN environment variable not set.");
|
6 |
+
throw error(500, "Server configuration error: Missing API Token");
|
7 |
+
}
|
8 |
+
|
9 |
+
/** @type {import('./$types').RequestHandler} */
|
10 |
+
export async function POST({ request }) {
|
11 |
+
const { query } = await request.json();
|
12 |
+
if (!query) {
|
13 |
+
throw error(400, "Missing search query in request body");
|
14 |
+
}
|
15 |
+
|
16 |
+
console.log(`API: Searching Fal LoRAs for query: "${query}"`);
|
17 |
+
const searchParams = new URLSearchParams({
|
18 |
+
filter: "lora",
|
19 |
+
limit: "1000", // Increase limit slightly for UI
|
20 |
+
config: "false",
|
21 |
+
full: "true",
|
22 |
+
inference_provider: "fal-ai",
|
23 |
+
search: query,
|
24 |
+
});
|
25 |
+
const url = `https://huggingface.co/api/models?${searchParams.toString()}`;
|
26 |
+
|
27 |
+
try {
|
28 |
+
const response = await fetch(url, {
|
29 |
+
method: "GET",
|
30 |
+
headers: { Authorization: `Bearer ${HF_TOKEN}` },
|
31 |
+
});
|
32 |
+
|
33 |
+
if (!response.ok) {
|
34 |
+
const errorText = await response.text();
|
35 |
+
console.error(`Hugging Face API Error: ${response.status} ${errorText}`);
|
36 |
+
throw error(
|
37 |
+
response.status,
|
38 |
+
`Error fetching LoRAs from Hugging Face: ${errorText}`
|
39 |
+
);
|
40 |
+
}
|
41 |
+
|
42 |
+
const data = await response.json();
|
43 |
+
const loras = data.map((model) => {
|
44 |
+
// Find the first image file in siblings for the thumbnail
|
45 |
+
const imageSibling = model.siblings?.find((sibling) =>
|
46 |
+
/\.(png|jpg|jpeg|webp)$/i.test(sibling.rfilename)
|
47 |
+
);
|
48 |
+
|
49 |
+
const thumbnailUrl = imageSibling
|
50 |
+
? `https://huggingface.co/${model.modelId}/resolve/main/${imageSibling.rfilename}`
|
51 |
+
: null; // Or a default placeholder image URL
|
52 |
+
|
53 |
+
if (!thumbnailUrl) {
|
54 |
+
const thumbnailUrl =
|
55 |
+
"https://huggingface.co/front/assets/huggingface_logo-noborder.svg";
|
56 |
+
}
|
57 |
+
|
58 |
+
return {
|
59 |
+
id: model.modelId,
|
60 |
+
author: model.author,
|
61 |
+
thumbnail: thumbnailUrl,
|
62 |
+
// Add other fields if needed later
|
63 |
+
};
|
64 |
+
});
|
65 |
+
|
66 |
+
console.log(
|
67 |
+
"API: Returning LoRAs:",
|
68 |
+
JSON.stringify(loras.slice(0, 5), null, 2)
|
69 |
+
); // Log first 5 results
|
70 |
+
|
71 |
+
return json(loras);
|
72 |
+
} catch (err) {
|
73 |
+
console.error("Error in /api/search-loras:", err);
|
74 |
+
// Throw SvelteKit error to ensure proper HTTP response
|
75 |
+
if (err.status) throw err; // Re-throw SvelteKit errors
|
76 |
+
throw error(500, "Internal Server Error");
|
77 |
+
}
|
78 |
+
}
|
svelte.config.js
ADDED
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import adapter from "@sveltejs/adapter-auto";
|
2 |
+
import { vitePreprocess } from "@sveltejs/vite-plugin-svelte";
|
3 |
+
|
4 |
+
/** @type {import('@sveltejs/kit').Config} */
|
5 |
+
const config = {
|
6 |
+
// Consult https://kit.svelte.dev/docs/integrations#preprocessors
|
7 |
+
// for more information about preprocessors
|
8 |
+
preprocess: vitePreprocess(),
|
9 |
+
|
10 |
+
kit: {
|
11 |
+
// adapter-auto only supports some environments, see https://kit.svelte.dev/docs/adapter-auto for a list.
|
12 |
+
// If your environment is not supported or you settled on a specific environment, switch out the adapter.
|
13 |
+
// See https://kit.svelte.dev/docs/adapters for more information about adapters.
|
14 |
+
adapter: adapter(),
|
15 |
+
},
|
16 |
+
};
|
17 |
+
|
18 |
+
export default config;
|
vite.config.js
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import { sveltekit } from "@sveltejs/kit/vite";
|
2 |
+
import { defineConfig } from "vite";
|
3 |
+
|
4 |
+
export default defineConfig({
|
5 |
+
plugins: [sveltekit()],
|
6 |
+
});
|