Merge branch 'main' into fix/scrape-parser

.env

@@ -161,3 +161,4 @@ USAGE_LIMITS=`{}`
 ALLOW_INSECURE_COOKIES=false # recommended to keep this to false but set to true if you need to run over http without tls
 METRICS_PORT=
 LOG_LEVEL=info
+BODY_SIZE_LIMIT=15728640

Dockerfile

@@ -17,6 +17,7 @@ FROM builder-production as builder
 
 ARG APP_BASE=
 ARG PUBLIC_APP_COLOR=blue
+ENV BODY_SIZE_LIMIT=15728640
 
 RUN --mount=type=cache,target=/app/.npm \
         npm set cache /app/.npm && \
@@ -55,6 +56,7 @@ ENV INCLUDE_DB=${INCLUDE_DB}
 ARG APP_BASE=
 # tailwind requires the primary theme to be known at build time so it must be passed as a build arg
 ARG PUBLIC_APP_COLOR=blue
+ENV BODY_SIZE_LIMIT=15728640
 
 # install dotenv-cli
 RUN npm install -g dotenv-cli

src/lib/server/tools/images/generation.ts

@@ -3,14 +3,8 @@ import { uploadFile } from "../../files/uploadFile";
 import { MessageUpdateType } from "$lib/types/MessageUpdate";
 import { callSpace, getIpToken, type GradioImage } from "../utils";
 
-type ImageGenerationInput = [
-	number /* number (numeric value between 1 and 8) in 'Number of Images' Slider component */,
-	number /* number in 'Image Height' Number component */,
-	number /* number in 'Image Width' Number component */,
-	string /* prompt */,
-	number /* seed random */
-];
-type ImageGenerationOutput = [{ image: GradioImage }[]];
+type ImageGenerationInput = [string, string, number, boolean, number, number, number, number];
+type ImageGenerationOutput = [GradioImage, unknown];
 
 const imageGeneration: BackendTool = {
 	name: "image_generation",
@@ -24,11 +18,12 @@ const imageGeneration: BackendTool = {
 			type: "string",
 			required: true,
 		},
-		numberOfImages: {
-			description: "Number of images to generate, between 1 and 8.",
-			type: "number",
+		negativePrompt: {
+			description:
+				"A prompt for things that should not be in the image. Simple terms, separate terms with a comma.",
+			type: "string",
 			required: false,
-			default: 1,
+			default: "",
 		},
 		width: {
 			description: "Width of the generated image.",
@@ -43,41 +38,38 @@ const imageGeneration: BackendTool = {
 			default: 1024,
 		},
 	},
-	async *call({ prompt, numberOfImages, width, height }, { conv, ip, username }) {
+	async *call({ prompt, negativePrompt, width, height }, { conv, ip, username }) {
 		const ipToken = await getIpToken(ip, username);
 
 		const outputs = await callSpace<ImageGenerationInput, ImageGenerationOutput>(
-			"ByteDance/Hyper-SDXL-1Step-T2I",
-			"/process_image",
+			"stabilityai/stable-diffusion-3-medium",
+			"/infer",
 			[
-				Number(numberOfImages), // number (numeric value between 1 and 8) in 'Number of Images' Slider component
-				Number(height), // number in 'Image Height' Number component
-				Number(width), // number in 'Image Width' Number component
 				String(prompt), // prompt
+				String(negativePrompt), // negative prompt
 				Math.floor(Math.random() * 1000), // seed random
+				true, // randomize seed
+				Number(width), // number in 'Image Width' Number component
+				Number(height), // number in 'Image Height' Number component
+				5, // guidance scale
+				28, // steps
 			],
 			ipToken
 		);
-		const imageBlobs = await Promise.all(
-			outputs[0].map((output) =>
-				fetch(output.image.url)
-					.then((res) => res.blob())
-					.then(
-						(blob) =>
-							new File([blob], `${prompt}.${blob.type.split("/")[1] ?? "png"}`, { type: blob.type })
-					)
-					.then((file) => uploadFile(file, conv))
+		const image = await fetch(outputs[0].url)
+			.then((res) => res.blob())
+			.then(
+				(blob) =>
+					new File([blob], `${prompt}.${blob.type.split("/")[1] ?? "png"}`, { type: blob.type })
 			)
-		);
+			.then((file) => uploadFile(file, conv));
 
-		for (const image of imageBlobs) {
-			yield {
-				type: MessageUpdateType.File,
-				name: image.name,
-				sha: image.value,
-				mime: image.mime,
-			};
-		}
+		yield {
+			type: MessageUpdateType.File,
+			name: image.name,
+			sha: image.value,
+			mime: image.mime,
+		};
 
 		return {
 			outputs: [