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feat: use gemini flash for image generation

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Naomi Carrigan
2025-10-31 13:11:04 -07:00
parent 2c9eb1e360
commit e9de3fc06c
2 changed files with 53 additions and 44 deletions
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prod/classes/ai.js
+27 -26
View File
@@ -3,18 +3,19 @@
* @license Naomi's Public License
* @author Naomi Carrigan
*/
import Anthropic from "@anthropic-ai/sdk";
import { GoogleGenAI, PersonGeneration } from "@google/genai";
import { Anthropic } from "@anthropic-ai/sdk";
import { GoogleGenAI, } from "@google/genai";
import { AttachmentBuilder } from "discord.js";
/**
*
* Utility class for generating project information and images.
*/
export class Ai {
anthropic;
gemini;
/**
* @param anthropicKey
* @param geminiKey
* Creates a new instance of the Ai class.
* @param anthropicKey - The API key for the Anthropic API.
* @param geminiKey - The API key for the Gemini API.
*/
constructor(anthropicKey, geminiKey) {
this.anthropic = new Anthropic({
@@ -25,7 +26,9 @@ export class Ai {
});
}
/**
* @param prompt
* Generates a list of potential project names and a full body anime girl mascot for the project.
* @param prompt - The user's prompt for the project.
* @returns A message create options object containing the project name, description, and image.
*/
async generateProjectInfo(prompt) {
const projectRequest = await fetch("https://data.nhcarrigan.com/projects.json");
@@ -37,19 +40,20 @@ export class Ai {
return p.name;
}).
join(", ")}`, prompt);
const image = await this.generateImage(`Your task is to generate a full body anime girl mascot for this project. The image should have a transparent background. Potential names: ${names}. The project description is: ${prompt}`);
const image = await this.generateImage(prompt);
if (image === null) {
return { content: `Project Name: ${names}\nProject Description: ${prompt}\nSorry, I was unable to generate an image for you.` };
return {
content: `Project Name: ${names}\nProject Description: ${prompt}\nSorry, I was unable to generate an image for you.`,
};
}
return { content: `Project Name: ${names}\nProject Description: ${prompt}`,
files: [new AttachmentBuilder(image, { name: "avatar.png" })] };
return {
content: `Project Name: ${names}\nProject Description: ${prompt}`,
files: [new AttachmentBuilder(image, { name: "avatar.png" })],
};
}
/**
* @param system
* @param prompt
*/
async generateText(system, prompt) {
const response = await this.anthropic.messages.create({
// eslint-disable-next-line @typescript-eslint/naming-convention -- SDK requirement.
max_tokens: 1000,
messages: [
{
@@ -70,22 +74,19 @@ export class Ai {
join("");
return text;
}
/**
* @param prompt
*/
async generateImage(prompt) {
const response = await this.gemini.models.generateImages({
const response = await this.gemini.models.generateContent({
config: {
aspectRatio: "3:4",
imageSize: "2K",
numberOfImages: 1,
outputMimeType: "image/png",
personGeneration: PersonGeneration.ALLOW_ADULT,
imageConfig: { aspectRatio: "3:4" },
systemInstruction: "Your task is to generate a full body anime girl mascot for this project. This means the full character should be visible. The image should have a white background. NEVER include text in the image, no text anywhere at all. The project description is provided by the user.",
},
model: "models/imagen-4.0-generate-001",
prompt: prompt,
contents: prompt,
model: "gemini-2.5-flash-image",
});
const base64 = response.generatedImages?.[0]?.image?.imageBytes;
const image = response.candidates?.[0]?.content?.parts?.find((p) => {
return Boolean(p.inlineData);
});
const base64 = image?.inlineData?.data;
if (base64 === undefined) {
return null;
}
src/classes/ai.ts
+24 -16
View File
@@ -5,7 +5,9 @@
*/
import { Anthropic } from "@anthropic-ai/sdk";
import { GoogleGenAI, PersonGeneration } from "@google/genai";
import {
GoogleGenAI,
} from "@google/genai";
import { AttachmentBuilder, type MessageCreateOptions } from "discord.js";
/**
@@ -34,8 +36,9 @@ export class Ai {
* @param prompt - The user's prompt for the project.
* @returns A message create options object containing the project name, description, and image.
*/
public async generateProjectInfo(prompt: string):
Promise<MessageCreateOptions> {
public async generateProjectInfo(
prompt: string,
): Promise<MessageCreateOptions> {
const projectRequest = await fetch(
"https://data.nhcarrigan.com/projects.json",
);
@@ -50,12 +53,16 @@ export class Ai {
join(", ")}`,
prompt,
);
const image = await this.generateImage(`Your task is to generate a full body anime girl mascot for this project. The image should have a transparent background. NEVER include text in the image. The project description is: ${prompt}`);
const image = await this.generateImage(prompt);
if (image === null) {
return { content: `Project Name: ${names}\nProject Description: ${prompt}\nSorry, I was unable to generate an image for you.` };
return {
content: `Project Name: ${names}\nProject Description: ${prompt}\nSorry, I was unable to generate an image for you.`,
};
}
return { content: `Project Name: ${names}\nProject Description: ${prompt}`,
files: [ new AttachmentBuilder(image, { name: "avatar.png" }) ] };
return {
content: `Project Name: ${names}\nProject Description: ${prompt}`,
files: [ new AttachmentBuilder(image, { name: "avatar.png" }) ],
};
}
private async generateText(system: string, prompt: string): Promise<string> {
@@ -83,18 +90,19 @@ export class Ai {
}
private async generateImage(prompt: string): Promise<Buffer | null> {
const response = await this.gemini.models.generateImages({
const response = await this.gemini.models.generateContent({
config: {
aspectRatio: "3:4",
imageSize: "2K",
numberOfImages: 1,
outputMimeType: "image/png",
personGeneration: PersonGeneration.ALLOW_ADULT,
imageConfig: { aspectRatio: "3:4" },
systemInstruction:
`Your task is to generate a full body anime girl mascot for this project. This means the full character should be visible. The image should have a white background. NEVER include text in the image, no text anywhere at all. The project description is provided by the user.`,
},
model: "models/imagen-4.0-generate-001",
prompt: prompt,
contents: prompt,
model: "gemini-2.5-flash-image",
});
const base64 = response.generatedImages?.[0]?.image?.imageBytes;
const image = response.candidates?.[0]?.content?.parts?.find((p) => {
return Boolean(p.inlineData);
});
const base64 = image?.inlineData?.data;
if (base64 === undefined) {
return null;
}