mirror of https://github.com/open-webui/open-webui
Merge pull request #857 from open-webui/images
feat: Image size param support
This commit is contained in:
commit
4a47833f83
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@ -1,4 +1,4 @@
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import os
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import re
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import requests
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from fastapi import (
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FastAPI,
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@ -34,6 +34,7 @@ app.add_middleware(
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app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
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app.state.ENABLED = app.state.AUTOMATIC1111_BASE_URL != ""
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app.state.IMAGE_SIZE = "512x512"
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@app.get("/enabled", response_model=bool)
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@ -74,6 +75,33 @@ async def update_openai_url(form_data: UrlUpdateForm, user=Depends(get_admin_use
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}
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class ImageSizeUpdateForm(BaseModel):
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size: str
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@app.get("/size")
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async def get_image_size(user=Depends(get_admin_user)):
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return {"IMAGE_SIZE": app.state.IMAGE_SIZE}
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@app.post("/size/update")
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async def update_image_size(
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form_data: ImageSizeUpdateForm, user=Depends(get_admin_user)
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):
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pattern = r"^\d+x\d+$" # Regular expression pattern
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if re.match(pattern, form_data.size):
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app.state.IMAGE_SIZE = form_data.size
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return {
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"IMAGE_SIZE": app.state.IMAGE_SIZE,
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"status": True,
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}
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else:
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raise HTTPException(
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status_code=400,
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detail=ERROR_MESSAGES.INCORRECT_FORMAT(" (e.g., 512x512)."),
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)
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@app.get("/models")
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def get_models(user=Depends(get_current_user)):
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try:
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@ -140,7 +168,7 @@ def generate_image(
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if form_data.model:
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set_model_handler(form_data.model)
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width, height = tuple(map(int, form_data.size.split("x")))
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width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
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data = {
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"prompt": form_data.prompt,
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@ -44,3 +44,6 @@ class ERROR_MESSAGES(str, Enum):
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MALICIOUS = "Unusual activities detected, please try again in a few minutes."
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PANDOC_NOT_INSTALLED = "Pandoc is not installed on the server. Please contact your administrator for assistance."
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INCORRECT_FORMAT = (
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lambda err="": f"Invalid format. Please use the correct format{err if err else ''}"
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)
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@ -1,6 +1,6 @@
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{
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"name": "open-webui",
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"version": "0.1.0-101",
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"version": "0.1.102",
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"private": true,
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"scripts": {
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"dev": "vite dev --host",
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@ -52,4 +52,4 @@
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"tippy.js": "^6.3.7",
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"uuid": "^9.0.1"
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}
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}
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}
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@ -131,6 +131,73 @@ export const updateAUTOMATIC1111Url = async (token: string = '', url: string) =>
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return res.AUTOMATIC1111_BASE_URL;
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};
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export const getImageSize = async (token: string = '') => {
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let error = null;
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const res = await fetch(`${IMAGES_API_BASE_URL}/size`, {
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method: 'GET',
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headers: {
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Accept: 'application/json',
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'Content-Type': 'application/json',
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...(token && { authorization: `Bearer ${token}` })
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}
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})
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.then(async (res) => {
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if (!res.ok) throw await res.json();
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return res.json();
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})
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.catch((err) => {
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console.log(err);
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if ('detail' in err) {
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error = err.detail;
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} else {
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error = 'Server connection failed';
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}
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return null;
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});
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if (error) {
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throw error;
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}
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return res.IMAGE_SIZE;
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};
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export const updateImageSize = async (token: string = '', size: string) => {
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let error = null;
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const res = await fetch(`${IMAGES_API_BASE_URL}/size/update`, {
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method: 'POST',
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headers: {
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Accept: 'application/json',
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'Content-Type': 'application/json',
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...(token && { authorization: `Bearer ${token}` })
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},
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body: JSON.stringify({
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size: size
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})
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})
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.then(async (res) => {
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if (!res.ok) throw await res.json();
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return res.json();
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})
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.catch((err) => {
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console.log(err);
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if ('detail' in err) {
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error = err.detail;
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} else {
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error = 'Server connection failed';
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}
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return null;
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});
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if (error) {
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throw error;
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}
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return res.IMAGE_SIZE;
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};
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export const getDiffusionModels = async (token: string = '') => {
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let error = null;
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@ -8,9 +8,11 @@
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getDefaultDiffusionModel,
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getDiffusionModels,
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getImageGenerationEnabledStatus,
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getImageSize,
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toggleImageGenerationEnabledStatus,
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updateAUTOMATIC1111Url,
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updateDefaultDiffusionModel
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updateDefaultDiffusionModel,
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updateImageSize
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} from '$lib/apis/images';
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import { getBackendConfig } from '$lib/apis';
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const dispatch = createEventDispatcher();
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@ -25,6 +27,8 @@
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let selectedModel = '';
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let models = [];
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let imageSize = '';
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const getModels = async () => {
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models = await getDiffusionModels(localStorage.token).catch((error) => {
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toast.error(error);
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@ -53,7 +57,6 @@
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AUTOMATIC1111_BASE_URL = await getAUTOMATIC1111Url(localStorage.token);
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}
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};
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const toggleImageGeneration = async () => {
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if (AUTOMATIC1111_BASE_URL) {
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enableImageGeneration = await toggleImageGenerationEnabledStatus(localStorage.token).catch(
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@ -79,6 +82,7 @@
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AUTOMATIC1111_BASE_URL = await getAUTOMATIC1111Url(localStorage.token);
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if (enableImageGeneration && AUTOMATIC1111_BASE_URL) {
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imageSize = await getImageSize(localStorage.token);
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getModels();
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}
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}
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@ -89,13 +93,17 @@
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class="flex flex-col h-full justify-between space-y-3 text-sm"
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on:submit|preventDefault={async () => {
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loading = true;
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const res = await updateDefaultDiffusionModel(localStorage.token, selectedModel);
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await updateDefaultDiffusionModel(localStorage.token, selectedModel);
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await updateImageSize(localStorage.token, imageSize).catch((error) => {
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toast.error(error);
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return null;
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});
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dispatch('save');
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loading = false;
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}}
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>
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<div class=" space-y-3 pr-1.5 overflow-y-scroll max-h-80">
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<div class=" space-y-3 pr-1.5 overflow-y-scroll max-h-[21rem]">
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<div>
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<div class=" mb-1 text-sm font-medium">Image Settings</div>
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@ -168,6 +176,19 @@
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{#if enableImageGeneration}
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<hr class=" dark:border-gray-700" />
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<div>
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<div class=" mb-2.5 text-sm font-medium">Set Image Size</div>
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<div class="flex w-full">
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<div class="flex-1 mr-2">
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<input
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class="w-full rounded py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-800 outline-none"
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placeholder="Enter Image Size (e.g. 512x512)"
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bind:value={imageSize}
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/>
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</div>
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</div>
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</div>
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<div>
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<div class=" mb-2.5 text-sm font-medium">Set default model</div>
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<div class="flex w-full">
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