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app.py
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import os
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import random
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import uuid
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import json
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import gradio as gr
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import numpy as np
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from PIL import Image
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import spaces
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import torch
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from diffusers import DiffusionPipeline, StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
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from typing import Tuple
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#BaseConditions--
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bad_words = json.loads(os.getenv('BAD_WORDS', "[]"))
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bad_words_negative = json.loads(os.getenv('BAD_WORDS_NEGATIVE', "[]"))
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default_negative = os.getenv("default_negative","")
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def check_text(prompt, negative=""):
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for i in bad_words:
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if i in prompt:
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return True
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for i in bad_words_negative:
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if i in negative:
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return True
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return False
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#Quality/Style-----------------------------------------------------------------------------------------------------------------------------------------------------------Quality/Style
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style_list = [
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{
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"name": "3840 x 2160",
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"prompt": "hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
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"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
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},
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{
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"name": "2560 x 1440",
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"prompt": "hyper-realistic 4K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
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"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
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},
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{
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"name": "HD+",
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"prompt": "hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
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"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
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},
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{
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"name": "Style Zero",
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"prompt": "{prompt}",
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"negative_prompt": "",
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},
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]
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#Clgstyle--------------------------------------------------------------------------------------------------------------------------------------------------------------Clgstyle
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collage_style_list = [
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{
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"name": "Hi-Res",
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"prompt": "hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
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"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
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},
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{
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"name": "B & W",
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"prompt": "black and white collage of {prompt}. monochromatic, timeless, classic, dramatic contrast",
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"negative_prompt": "colorful, vibrant, bright, flashy",
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},
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{
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"name": "Polaroid",
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"prompt": "collage of polaroid photos featuring {prompt}. vintage style, high contrast, nostalgic, instant film aesthetic",
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"negative_prompt": "digital, modern, low quality, blurry",
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},
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{
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"name": "Watercolor",
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"prompt": "watercolor collage of {prompt}. soft edges, translucent colors, painterly effects",
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"negative_prompt": "digital, sharp lines, solid colors",
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},
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{
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"name": "Cinematic",
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"prompt": "cinematic collage of {prompt}. film stills, movie posters, dramatic lighting",
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"negative_prompt": "static, lifeless, mundane",
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},
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{
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"name": "Nostalgic",
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"prompt": "nostalgic collage of {prompt}. retro imagery, vintage objects, sentimental journey",
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"negative_prompt": "contemporary, futuristic, forward-looking",
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},
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{
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"name": "Vintage",
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"prompt": "vintage collage of {prompt}. aged paper, sepia tones, retro imagery, antique vibes",
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"negative_prompt": "modern, contemporary, futuristic, high-tech",
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},
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{
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"name": "Scrapbook",
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"prompt": "scrapbook style collage of {prompt}. mixed media, hand-cut elements, textures, paper, stickers, doodles",
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"negative_prompt": "clean, digital, modern, low quality",
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},
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{
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"name": "NeoNGlow",
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"prompt": "neon glow collage of {prompt}. vibrant colors, glowing effects, futuristic vibes",
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"negative_prompt": "dull, muted colors, vintage, retro",
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},
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{
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"name": "Geometric",
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"prompt": "geometric collage of {prompt}. abstract shapes, colorful, sharp edges, modern design, high quality",
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"negative_prompt": "blurry, low quality, traditional, dull",
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},
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{
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"name": "Thematic",
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"prompt": "thematic collage of {prompt}. cohesive theme, well-organized, matching colors, creative layout",
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"negative_prompt": "random, messy, unorganized, clashing colors",
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},
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#DuoTones by Canva --------------------------------------------------------------------------------------------------------------- Alters only the i++ Part / not Zero Tones
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{
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"name": "Cherry",
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"prompt": "Duotone style Cherry tone applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Fuchsia",
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"prompt": "Duotone style Fuchsia tone applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Pop",
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"prompt": "Duotone style Pop tone applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Violet",
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"prompt": "Duotone style Violet applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Sea Blue",
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"prompt": "Duotone style Sea Blue applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Sea Green",
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"prompt": "Duotone style Sea Green applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Mustard",
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"prompt": "Duotone style Mustard applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Amber",
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"prompt": "Duotone style Amber applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Pomelo",
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"prompt": "Duotone style Pomelo applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Peppermint",
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"prompt": "Duotone style Peppermint applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Mystic",
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"prompt": "Duotone style Mystic tone applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Pastel",
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"prompt": "Duotone style Pastel applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "Coral",
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"prompt": "Duotone style Coral applied to {prompt}",
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"negative_prompt": "",
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},
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{
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"name": "No Style",
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"prompt": "{prompt}",
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"negative_prompt": "",
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},
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]
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#filters------------------------------------------------------------------------------------------------------------------------------------------------filters
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filters = {
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"Vivid": {
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"prompt": "extra vivid {prompt}",
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"negative_prompt": "washed out, dull"
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},
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"Playa": {
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"prompt": "{prompt} set in a vast playa",
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"negative_prompt": "forest, mountains"
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},
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"Desert": {
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"prompt": "{prompt} set in a desert landscape",
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"negative_prompt": "ocean, city"
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},
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"West": {
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"prompt": "{prompt} with a western theme",
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"negative_prompt": "eastern, modern"
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},
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"Blush": {
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"prompt": "{prompt} with a soft blush color palette",
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"negative_prompt": "harsh colors, neon"
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},
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"Minimalist": {
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"prompt": "{prompt} with a minimalist design",
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"negative_prompt": "cluttered, ornate"
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},
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"Zero filter": {
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"prompt": "{prompt}",
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"negative_prompt": ""
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},
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}
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styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
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collage_styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in collage_style_list}
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filter_styles = {k: (v["prompt"], v["negative_prompt"]) for k, v in filters.items()}
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STYLE_NAMES = list(styles.keys())
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COLLAGE_STYLE_NAMES = list(collage_styles.keys())
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FILTER_NAMES = list(filters.keys())
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DEFAULT_STYLE_NAME = "3840 x 2160"
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DEFAULT_COLLAGE_STYLE_NAME = "Hi-Res"
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DEFAULT_FILTER_NAME = "Zero filter"
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def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
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if style_name in styles:
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p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
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elif style_name in collage_styles:
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p, n = collage_styles.get(style_name, collage_styles[DEFAULT_COLLAGE_STYLE_NAME])
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elif style_name in filter_styles:
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p, n = filter_styles.get(style_name, filter_styles[DEFAULT_FILTER_NAME])
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else:
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p, n = styles[DEFAULT_STYLE_NAME]
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if not negative:
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negative = ""
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return p.replace("{prompt}", positive), n + negative
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DESCRIPTION = """## Diffusion 🏞️
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"""
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MAX_SEED = np.iinfo(np.int32).max
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CACHE_EXAMPLES = torch.cuda.is_available() and os.getenv("CACHE_EXAMPLES", "0") == "1"
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MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "2048"))
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USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", "0") == "1"
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ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
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device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
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#Compile
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"SG161222/RealVisXL_V4.0_Lightning", #(or) use --- SG161222/RealVisXL_V4.0 / SG161222/RealVisXL_V4.0_Lightning --- for better results.
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torch_dtype=torch.float16,
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use_safetensors=True,
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add_watermarker=False,
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variant="fp16"
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).to(device)
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if ENABLE_CPU_OFFLOAD:
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pipe.enable_model_cpu_offload()
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else:
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pipe.to(device)
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print("Loaded on Device!")
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if USE_TORCH_COMPILE:
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pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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print("Model Compiled!")
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def save_image(img, path):
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img.save(path)
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#seeding
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def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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return seed
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@spaces.GPU(enable_queue=True)
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def generate(
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prompt: str,
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negative_prompt: str = "",
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use_negative_prompt: bool = False,
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style: str = DEFAULT_STYLE_NAME,
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collage_style: str = DEFAULT_COLLAGE_STYLE_NAME,
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filter_name: str = DEFAULT_FILTER_NAME,
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grid_size: str = "2x2",
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seed: int = 0,
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width: int = 1024,
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height: int = 1024,
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guidance_scale: float = 3,
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randomize_seed: bool = False,
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use_resolution_binning: bool = True,
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progress=gr.Progress(track_tqdm=True),
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):
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if check_text(prompt, negative_prompt):
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raise ValueError("Prompt contains restricted words.")
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if collage_style != "No Style":
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prompt, negative_prompt = apply_style(collage_style, prompt, negative_prompt)
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elif filter_name != "No Filter":
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prompt, negative_prompt = apply_style(filter_name, prompt, negative_prompt)
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else:
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prompt, negative_prompt = apply_style(style, prompt, negative_prompt)
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator().manual_seed(seed)
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if not use_negative_prompt:
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negative_prompt = "" # type: ignore
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negative_prompt += default_negative
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grid_sizes = {
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"2x1": (2, 1),
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"1x2": (1, 2),
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"2x2": (2, 2),
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"2x3": (2, 3),
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"3x2": (3, 2),
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"1x1": (1, 1)
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}
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grid_size_x, grid_size_y = grid_sizes.get(grid_size, (2, 2))
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num_images = grid_size_x * grid_size_y
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options = {
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"width": width,
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"height": height,
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"guidance_scale": guidance_scale,
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"num_inference_steps": 20,
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"generator": generator,
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"num_images_per_prompt": num_images,
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"use_resolution_binning": use_resolution_binning,
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"output_type": "pil",
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}
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torch.cuda.empty_cache() # Clear GPU memory
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images = pipe(**options).images
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grid_img = Image.new('RGB', (width * grid_size_x, height * grid_size_y))
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for i, img in enumerate(images[:num_images]):
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grid_img.paste(img, (i % grid_size_x * width, i // grid_size_x * height))
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unique_name = str(uuid.uuid4()) + ".png"
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save_image(grid_img, unique_name)
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return [unique_name], seed
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examples = [
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"Chocolate dripping from a donut against a yellow background, in the style of brocore, hyper-realistic oil --ar 2:3 --q 2 --s 750 --v 5 --ar 2:3 --q 2 --s 750 --v 5",
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"3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, 4K resolution highlights, Sharp focus, octane render, ray tracing, Ultra-High-Definition, 8k, UHD, HDR, (Masterpiece:1.5), (best quality:1.5)",
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"Cold coffee in a cup bokeh --ar 85:128 --v 6.0 --style raw5, 4K, Photo-Realistic",
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"Food photography of a milk shake with flying strawberrys against a pink background, professionally studio shot with cinematic lighting. The image is in the style of a professional studio shot --ar 85:128 --v 6.0 --style raw"
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]
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css = '''
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.gradio-container{max-width: 600px !important}
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h1{text-align:center}
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'''
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with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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gr.Markdown(DESCRIPTION)
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gr.DuplicateButton(
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value="Duplicate Space for private use",
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elem_id="duplicate-button",
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visible=os.getenv("SHOW_DUPLICATE_BUTTON") == "1",
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)
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with gr.Group():
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with gr.Row():
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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run_button = gr.Button("Run")
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result = gr.Gallery(label="Grid", columns=1, preview=True)
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with gr.Row(visible=True):
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400 |
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grid_size_selection = gr.Dropdown(
|
401 |
-
choices=["2x1", "1x2", "2x2", "2x3", "3x2", "1x1"],
|
402 |
-
value="1x1",
|
403 |
-
label="Grid Size"
|
404 |
-
)
|
405 |
-
|
406 |
-
with gr.Row(visible=True):
|
407 |
-
filter_selection = gr.Radio(
|
408 |
-
show_label=True,
|
409 |
-
container=True,
|
410 |
-
interactive=True,
|
411 |
-
choices=FILTER_NAMES,
|
412 |
-
value=DEFAULT_FILTER_NAME,
|
413 |
-
label="Filter Type",
|
414 |
-
)
|
415 |
-
|
416 |
-
with gr.Row(visible=True):
|
417 |
-
collage_style_selection = gr.Radio(
|
418 |
-
show_label=True,
|
419 |
-
container=True,
|
420 |
-
interactive=True,
|
421 |
-
choices=COLLAGE_STYLE_NAMES,
|
422 |
-
value=DEFAULT_COLLAGE_STYLE_NAME,
|
423 |
-
label="Collage Template + Duotone Canvas",
|
424 |
-
)
|
425 |
-
|
426 |
-
with gr.Row(visible=True):
|
427 |
-
style_selection = gr.Radio(
|
428 |
-
show_label=True,
|
429 |
-
container=True,
|
430 |
-
interactive=True,
|
431 |
-
choices=STYLE_NAMES,
|
432 |
-
value=DEFAULT_STYLE_NAME,
|
433 |
-
label="Quality Style",
|
434 |
-
)
|
435 |
-
|
436 |
-
with gr.Accordion("Advanced options", open=False):
|
437 |
-
use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True, visible=True)
|
438 |
-
negative_prompt = gr.Text(
|
439 |
-
label="Negative prompt",
|
440 |
-
max_lines=1,
|
441 |
-
placeholder="Enter a negative prompt",
|
442 |
-
value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
|
443 |
-
visible=True,
|
444 |
-
)
|
445 |
-
with gr.Row():
|
446 |
-
num_inference_steps = gr.Slider(
|
447 |
-
label="Steps",
|
448 |
-
minimum=10,
|
449 |
-
maximum=30,
|
450 |
-
step=1,
|
451 |
-
value=15,
|
452 |
-
)
|
453 |
-
with gr.Row():
|
454 |
-
num_images_per_prompt = gr.Slider(
|
455 |
-
label="Images",
|
456 |
-
minimum=1,
|
457 |
-
maximum=5,
|
458 |
-
step=1,
|
459 |
-
value=2,
|
460 |
-
)
|
461 |
-
seed = gr.Slider(
|
462 |
-
label="Seed",
|
463 |
-
minimum=0,
|
464 |
-
maximum=MAX_SEED,
|
465 |
-
step=1,
|
466 |
-
value=0,
|
467 |
-
visible=True
|
468 |
-
)
|
469 |
-
randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
|
470 |
-
|
471 |
-
with gr.Row(visible=True):
|
472 |
-
width = gr.Slider(
|
473 |
-
label="Width",
|
474 |
-
minimum=512,
|
475 |
-
maximum=2048,
|
476 |
-
step=64,
|
477 |
-
value=1024,
|
478 |
-
)
|
479 |
-
height = gr.Slider(
|
480 |
-
label="Height",
|
481 |
-
minimum=512,
|
482 |
-
maximum=2048,
|
483 |
-
step=64,
|
484 |
-
value=1024,
|
485 |
-
)
|
486 |
-
|
487 |
-
with gr.Row():
|
488 |
-
guidance_scale = gr.Slider(
|
489 |
-
label="Guidance Scale",
|
490 |
-
minimum=0.1,
|
491 |
-
maximum=20.0,
|
492 |
-
step=0.1,
|
493 |
-
value=6,
|
494 |
-
)
|
495 |
-
|
496 |
-
gr.Examples(
|
497 |
-
examples=examples,
|
498 |
-
inputs=prompt,
|
499 |
-
outputs=[result, seed],
|
500 |
-
fn=generate,
|
501 |
-
#cache_examples=True,
|
502 |
-
cache_examples=CACHE_EXAMPLES,
|
503 |
-
)
|
504 |
-
|
505 |
-
use_negative_prompt.change(
|
506 |
-
fn=lambda x: gr.update(visible=x),
|
507 |
-
inputs=use_negative_prompt,
|
508 |
-
outputs=negative_prompt,
|
509 |
-
api_name=False,
|
510 |
-
)
|
511 |
-
|
512 |
-
gr.on(
|
513 |
-
triggers=[
|
514 |
-
prompt.submit,
|
515 |
-
negative_prompt.submit,
|
516 |
-
run_button.click,
|
517 |
-
],
|
518 |
-
fn=generate,
|
519 |
-
inputs=[
|
520 |
-
prompt,
|
521 |
-
negative_prompt,
|
522 |
-
use_negative_prompt,
|
523 |
-
style_selection,
|
524 |
-
collage_style_selection,
|
525 |
-
filter_selection,
|
526 |
-
grid_size_selection,
|
527 |
-
seed,
|
528 |
-
width,
|
529 |
-
height,
|
530 |
-
guidance_scale,
|
531 |
-
randomize_seed,
|
532 |
-
],
|
533 |
-
outputs=[result, seed],
|
534 |
-
api_name="run",
|
535 |
-
)
|
536 |
-
|
537 |
-
gr.Markdown("### Duotone Canvas")
|
538 |
-
|
539 |
-
if __name__ == "__main__":
|
540 |
-
demo.queue(max_size=40).launch()
|
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