Spaces:
Running
on
Zero
Running
on
Zero
#!/usr/bin/env python | |
import os | |
import random | |
import uuid | |
import gradio as gr | |
import numpy as np | |
from PIL import Image | |
import spaces | |
import torch | |
from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler | |
#BaseConditions-- | |
bad_words = json.loads(os.getenv('BAD_WORDS', "[]")) | |
bad_words_negative = json.loads(os.getenv('BAD_WORDS_NEGATIVE', "[]")) | |
default_negative = os.getenv("default_negative","") | |
def check_text(prompt, negative=""): | |
for i in bad_words: | |
if i in prompt: | |
return True | |
for i in bad_words_negative: | |
if i in negative: | |
return True | |
return False | |
#Quality/Style-----------------------------------------------------------------------------------------------------------------------------------------------------------Quality/Style | |
style_list = [ | |
{ | |
"name": "3840 x 2160", | |
"prompt": "hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic", | |
"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly", | |
}, | |
{ | |
"name": "2560 x 1440", | |
"prompt": "hyper-realistic 4K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic", | |
"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly", | |
}, | |
{ | |
"name": "HD+", | |
"prompt": "hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic", | |
"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly", | |
}, | |
{ | |
"name": "Style Zero", | |
"prompt": "{prompt}", | |
"negative_prompt": "", | |
}, | |
] | |
#Clgstyle--------------------------------------------------------------------------------------------------------------------------------------------------------------Clgstyle | |
collage_style_list = [ | |
{ | |
"name": "Hi-Res", | |
"prompt": "hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic", | |
"negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly", | |
}, | |
{ | |
"name": "B & W", | |
"prompt": "black and white collage of {prompt}. monochromatic, timeless, classic, dramatic contrast", | |
"negative_prompt": "colorful, vibrant, bright, flashy", | |
}, | |
{ | |
"name": "Polaroid", | |
"prompt": "collage of polaroid photos featuring {prompt}. vintage style, high contrast, nostalgic, instant film aesthetic", | |
"negative_prompt": "digital, modern, low quality, blurry", | |
}, | |
{ | |
"name": "Watercolor", | |
"prompt": "watercolor collage of {prompt}. soft edges, translucent colors, painterly effects", | |
"negative_prompt": "digital, sharp lines, solid colors", | |
}, | |
{ | |
"name": "Cinematic", | |
"prompt": "cinematic collage of {prompt}. film stills, movie posters, dramatic lighting", | |
"negative_prompt": "static, lifeless, mundane", | |
}, | |
{ | |
"name": "Nostalgic", | |
"prompt": "nostalgic collage of {prompt}. retro imagery, vintage objects, sentimental journey", | |
"negative_prompt": "contemporary, futuristic, forward-looking", | |
}, | |
{ | |
"name": "Vintage", | |
"prompt": "vintage collage of {prompt}. aged paper, sepia tones, retro imagery, antique vibes", | |
"negative_prompt": "modern, contemporary, futuristic, high-tech", | |
}, | |
{ | |
"name": "Scrapbook", | |
"prompt": "scrapbook style collage of {prompt}. mixed media, hand-cut elements, textures, paper, stickers, doodles", | |
"negative_prompt": "clean, digital, modern, low quality", | |
}, | |
{ | |
"name": "NeoNGlow", | |
"prompt": "neon glow collage of {prompt}. vibrant colors, glowing effects, futuristic vibes", | |
"negative_prompt": "dull, muted colors, vintage, retro", | |
}, | |
{ | |
"name": "Geometric", | |
"prompt": "geometric collage of {prompt}. abstract shapes, colorful, sharp edges, modern design, high quality", | |
"negative_prompt": "blurry, low quality, traditional, dull", | |
}, | |
{ | |
"name": "Thematic", | |
"prompt": "thematic collage of {prompt}. cohesive theme, well-organized, matching colors, creative layout", | |
"negative_prompt": "random, messy, unorganized, clashing colors", | |
}, | |
#DuoTones by Canva --------------------------------------------------------------------------------------------------------------- Alters only the i++ Part / not Zero Tones | |
{ | |
"name": "Cherry", | |
"prompt": "Duotone style Cherry tone applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Fuchsia", | |
"prompt": "Duotone style Fuchsia tone applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Pop", | |
"prompt": "Duotone style Pop tone applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Violet", | |
"prompt": "Duotone style Violet applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Sea Blue", | |
"prompt": "Duotone style Sea Blue applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Sea Green", | |
"prompt": "Duotone style Sea Green applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Mustard", | |
"prompt": "Duotone style Mustard applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Amber", | |
"prompt": "Duotone style Amber applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Pomelo", | |
"prompt": "Duotone style Pomelo applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Peppermint", | |
"prompt": "Duotone style Peppermint applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Mystic", | |
"prompt": "Duotone style Mystic tone applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Pastel", | |
"prompt": "Duotone style Pastel applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "Coral", | |
"prompt": "Duotone style Coral applied to {prompt}", | |
"negative_prompt": "", | |
}, | |
{ | |
"name": "No Style", | |
"prompt": "{prompt}", | |
"negative_prompt": "", | |
}, | |
] | |
#filters------------------------------------------------------------------------------------------------------------------------------------------------filters | |
filters = { | |
"Vivid": { | |
"prompt": "extra vivid {prompt}", | |
"negative_prompt": "washed out, dull" | |
}, | |
"Playa": { | |
"prompt": "{prompt} set in a vast playa", | |
"negative_prompt": "forest, mountains" | |
}, | |
"Desert": { | |
"prompt": "{prompt} set in a desert landscape", | |
"negative_prompt": "ocean, city" | |
}, | |
"West": { | |
"prompt": "{prompt} with a western theme", | |
"negative_prompt": "eastern, modern" | |
}, | |
"Blush": { | |
"prompt": "{prompt} with a soft blush color palette", | |
"negative_prompt": "harsh colors, neon" | |
}, | |
"Minimalist": { | |
"prompt": "{prompt} with a minimalist design", | |
"negative_prompt": "cluttered, ornate" | |
}, | |
"Zero filter": { | |
"prompt": "{prompt}", | |
"negative_prompt": "" | |
}, | |
} | |
styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list} | |
collage_styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in collage_style_list} | |
filter_styles = {k: (v["prompt"], v["negative_prompt"]) for k, v in filters.items()} | |
STYLE_NAMES = list(styles.keys()) | |
COLLAGE_STYLE_NAMES = list(collage_styles.keys()) | |
FILTER_NAMES = list(filters.keys()) | |
DEFAULT_STYLE_NAME = "3840 x 2160" | |
DEFAULT_COLLAGE_STYLE_NAME = "Hi-Res" | |
DEFAULT_FILTER_NAME = "Zero filter" | |
def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]: | |
if style_name in styles: | |
p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME]) | |
elif style_name in collage_styles: | |
p, n = collage_styles.get(style_name, collage_styles[DEFAULT_COLLAGE_STYLE_NAME]) | |
elif style_name in filter_styles: | |
p, n = filter_styles.get(style_name, filter_styles[DEFAULT_FILTER_NAME]) | |
else: | |
p, n = styles[DEFAULT_STYLE_NAME] | |
if not negative: | |
negative = "" | |
return p.replace("{prompt}", positive), n + negative | |
DESCRIPTION = """ | |
# Midjourney Free on <a href='https://gpt-chatbot.ru/' target='_blank'>GPT-ChatBot.ru</a> | |
""" | |
def save_image(img): | |
unique_name = str(uuid.uuid4()) + ".png" | |
img.save(unique_name) | |
return unique_name | |
def randomize_seed_fn(seed: int, randomize_seed: bool) -> int: | |
if randomize_seed: | |
seed = random.randint(0, MAX_SEED) | |
return seed | |
MAX_SEED = np.iinfo(np.int32).max | |
if not torch.cuda.is_available(): | |
DESCRIPTION += "\n<p>Начинаем генерировать</p>" | |
MAX_SEED = np.iinfo(np.int32).max | |
USE_TORCH_COMPILE = 0 | |
ENABLE_CPU_OFFLOAD = 0 | |
if torch.cuda.is_available(): | |
pipe = StableDiffusionXLPipeline.from_pretrained( | |
"fluently/Fluently-XL-Final", | |
torch_dtype=torch.float16, | |
use_safetensors=True, | |
) | |
pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config) | |
pipe.load_lora_weights("ehristoforu/dalle-3-xl-v2", weight_name="dalle-3-xl-lora-v2.safetensors", adapter_name="dalle") | |
pipe.set_adapters("dalle") | |
pipe.to("cuda") | |
def generate( | |
prompt: str, | |
negative_prompt: str = "", | |
use_negative_prompt: bool = False, | |
seed: int = 0, | |
width: int = 1024, | |
height: int = 1024, | |
guidance_scale: float = 3, | |
randomize_seed: bool = False, | |
progress=gr.Progress(track_tqdm=True), | |
): | |
seed = int(randomize_seed_fn(seed, randomize_seed)) | |
if not use_negative_prompt: | |
negative_prompt = "" # type: ignore | |
images = pipe( | |
prompt=prompt, | |
negative_prompt=negative_prompt, | |
width=width, | |
height=height, | |
guidance_scale=guidance_scale, | |
num_inference_steps=25, | |
num_images_per_prompt=1, | |
cross_attention_kwargs={"scale": 0.65}, | |
output_type="pil", | |
).images | |
image_paths = [save_image(img) for img in images] | |
print(image_paths) | |
return image_paths, seed | |
examples = [ | |
"neon holography crystal cat", | |
"a cat eating a piece of cheese", | |
"an astronaut riding a horse in space", | |
"a cartoon of a boy playing with a tiger", | |
"a cute robot artist painting on an easel, concept art", | |
"a close up of a woman wearing a transparent, prismatic, elaborate nemeses headdress, over the should pose, brown skin-tone" | |
] | |
css = ''' | |
.gradio-container{max-width: 100% !important} | |
h1{text-align:center} | |
footer { | |
visibility: hidden | |
} | |
''' | |
with gr.Blocks(css=css, theme="pseudolab/huggingface-korea-theme") as demo: | |
gr.Markdown(DESCRIPTION) | |
gr.DuplicateButton( | |
value="Duplicate Space for private use", | |
elem_id="duplicate-button", | |
visible=False, | |
) | |
with gr.Group(): | |
with gr.Row(): | |
prompt = gr.Text( | |
label="Prompt", | |
show_label=False, | |
max_lines=1, | |
placeholder="Введите ваш промпт", | |
container=False, | |
) | |
run_button = gr.Button("Генерировать", scale=0) | |
result = gr.Gallery(label="Result", columns=1, preview=True, show_label=False) | |
with gr.Accordion("Advanced options", open=False): | |
use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True) | |
negative_prompt = gr.Text( | |
label="Negative prompt", | |
lines=4, | |
max_lines=6, | |
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, (NSFW:1.25)""", | |
placeholder="Enter a negative prompt", | |
visible=True, | |
) | |
seed = gr.Slider( | |
label="Seed", | |
minimum=0, | |
maximum=MAX_SEED, | |
step=1, | |
value=0, | |
visible=True | |
) | |
randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
with gr.Row(visible=True): | |
width = gr.Slider( | |
label="Width", | |
minimum=512, | |
maximum=2048, | |
step=8, | |
value=1024, | |
) | |
height = gr.Slider( | |
label="Height", | |
minimum=512, | |
maximum=2048, | |
step=8, | |
value=1024, | |
) | |
with gr.Row(): | |
guidance_scale = gr.Slider( | |
label="Guidance Scale", | |
minimum=0.1, | |
maximum=20.0, | |
step=0.1, | |
value=6, | |
) | |
gr.Examples( | |
examples=examples, | |
inputs=prompt, | |
outputs=[result, seed], | |
fn=generate, | |
cache_examples=False, | |
) | |
use_negative_prompt.change( | |
fn=lambda x: gr.update(visible=x), | |
inputs=use_negative_prompt, | |
outputs=negative_prompt, | |
api_name=False, | |
) | |
gr.on( | |
triggers=[ | |
prompt.submit, | |
negative_prompt.submit, | |
run_button.click, | |
], | |
fn=generate, | |
inputs=[ | |
prompt, | |
negative_prompt, | |
use_negative_prompt, | |
seed, | |
width, | |
height, | |
guidance_scale, | |
randomize_seed, | |
], | |
outputs=[result, seed], | |
api_name="run", | |
) | |
if __name__ == "__main__": | |
demo.queue(max_size=20).launch(show_api=False, debug=False) |