app.py

import requests
import random
from typing import Tuple
import random
import requests
import time
from PIL import Image
from io import BytesIO
from typing import Tuple
from diffusers import DiffusionPipeline
import torch
from flask import Flask, request, jsonify
app = Flask(__name__)



style_list = [
    {
        "name": "(No style)",
        "prompt": "{prompt}",
        "negative_prompt": "",
    },
    {
        "name": "Cinematic",
        "prompt": "cinematic still {prompt} . emotional, harmonious, vignette, highly detailed, high budget, bokeh,realistic,textured, cinemascope, moody, epic, gorgeous, film grain, grainy",
        "negative_prompt": "anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured",
    },
    {
        "name": "Photographic",
        "prompt": "cinematic photo {prompt} . 35mm photograph, film, bokeh, professional, 4k, highly detailed",
        "negative_prompt": "drawing, painting, crayon, sketch, graphite, impressionist, noisy, blurry, soft, deformed, ugly",
    },
    {
        "name": "Anime",
        "prompt": "anime artwork {prompt} . anime style, key visual, vibrant, studio anime,  highly detailed",
        "negative_prompt": "photo, deformed, black and white, realism, disfigured, low contrast",
    },
    {
        "name": "Manga",
        "prompt": "manga style {prompt} . vibrant, high-energy, detailed, iconic, Japanese comic style",
        "negative_prompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic, Western comic style",
    },
    {
        "name": "Digital Art",
        "prompt": "concept art {prompt} . digital artwork, illustrative, painterly, matte painting, highly detailed",
        "negative_prompt": "photo, photorealistic, realism, ugly",
    },
    {
        "name": "Pixel art",
        "prompt": "pixel-art {prompt} . low-res, blocky, pixel art style, 8-bit graphics",
        "negative_prompt": "sloppy, messy, blurry, noisy, highly detailed, ultra textured, photo, realistic",
    },
    {
        "name": "Fantasy art",
        "prompt": "ethereal fantasy concept art of  {prompt} . magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamy",
        "negative_prompt": "photographic, realistic, realism, 35mm film, dslr, cropped, frame, text, deformed, glitch, noise, noisy, off-center, deformed, cross-eyed, closed eyes, bad anatomy, ugly, disfigured, sloppy, duplicate, mutated, black and white",
    },
    {
        "name": "Neonpunk",
        "prompt": "neonpunk style {prompt} . cyberpunk, vaporwave, neon, vibes, vibrant, stunningly beautiful, crisp, detailed, sleek, ultramodern, magenta highlights, dark purple shadows, high contrast, cinematic, ultra detailed, intricate, professional",
        "negative_prompt": "painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured",
    },
    {
        "name": "3D Model",
        "prompt": "professional 3d model {prompt} . octane render, highly detailed, volumetric, dramatic lighting",
        "negative_prompt": "ugly, deformed, noisy, low poly, blurry, painting",
    },
    {
        "name":"Portrait",
        "prompt":"Portrait Art {prompt}.soft light, sharp, exposure blend, medium shot, bokeh, (hdr:1.4), high contrast, (cinematic, teal and orange:0.85), (muted colors, dim colors, soothing tones:1.3), low saturation, (hyperdetailed:1.2), (noir:0.4), (natural skin texture, hyperrealism, soft light, sharp:1.2)",
        "negative_prompt":""
    }
]

styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
STYLE_NAMES = list(styles.keys())
DEFAULT_STYLE_NAME = "(No style)"

def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
    p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
    return p.replace("{prompt}", positive), n + negative


def text_to_image(prompt,guidance,style_name):
    url = "https://api.getimg.ai/v1/stable-diffusion-xl/text-to-image"
    #seed = random.randint(0,4294967295)
    prompts, negative = apply_style(style_name, prompt)
    print(prompts)
    print(negative)

    payload = {
        "model": "stable-diffusion-xl-v1-0",
        "prompt": prompts,
        "width": 1024,
        "height": 1024,
        "steps": 90,
        "guidance": guidance,
        "output_format": "jpeg",
        "response_format": "url",
        "negative_prompt": negative,
    
        
    }
    headers = {
        "accept": "application/json",
        "content-type": "application/json",
        "authorization": "Bearer key-3ryTG9YlTHzB0hkjgFHoL7yhsOQkWUbodn1sOU7WwOkhDXNSWVL8heMXWwNqCliAbdpm9xNtrITY3WInbRdC98bZ5QVdfOoi"
    }

    response = requests.post(url, json=payload, headers=headers)
    #image_url =response.json()['url']
    # Fetch the image data directly from the URL
    #image_datas = requests.get(image_url).content

    # Save the image to a local file (e.g., 'my_image.jpg')
    #with open('my_image.jpg', 'wb') as f:
    # f.write(image_datas)



    #print(response.text)
    return response.text



@app.route('/', methods=['POST'])
def generate_image():
    data = request.get_json()
    if 'prompt' in data and 'style_name' in data and 'guidance_scale' in data:
        prompt = data['prompt']
        style_name = data['style_name']
        guidance_scale = data['guidance_scale']
        
        image_urls = text_to_image(prompt=prompt, style_name=style_name, guidance=guidance_scale)
        
        # Convert the first generated image to base64
        #image_b64 = image_urls[0].split(",")[1]
        
        #return jsonify({'image_base64': image_b64})
        return jsonify({'image_urls':image_urls})
    else:
        return jsonify({'error': 'Missing required parameters'}), 400
  


  

if __name__ == '__main__':
    app.run(host='0.0.0.0',port=7860,debug=True)