Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -14,7 +14,7 @@ from datetime import datetime
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DESCRIPTION = """ # Instant Image
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### Super fast text to Image Generator.
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### <span style='color: red;'>You may change the steps from
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### First Image processing takes time then images generate faster.
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"""
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if not torch.cuda.is_available():
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@@ -51,11 +51,6 @@ style_list = [
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"prompt": "anime artwork {prompt} . anime style, key visual, vibrant, studio anime, highly detailed",
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"negative_prompt": "photo, deformed, black and white, realism, disfigured, low contrast",
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},
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{
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"name": "Manga",
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"prompt": "manga style {prompt} . vibrant, high-energy, detailed, iconic, Japanese comic style",
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"negative_prompt": "ugly, deformed, noisy, blurry, low contrast, realism, photorealistic, Western comic style",
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},
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{
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"name": "Digital Art",
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"prompt": "concept art {prompt} . digital artwork, illustrative, painterly, matte painting, highly detailed",
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@@ -71,11 +66,6 @@ style_list = [
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"prompt": "ethereal fantasy concept art of {prompt} . magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamy",
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"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",
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},
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{
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"name": "Neonpunk",
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"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",
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"negative_prompt": "painting, drawing, illustration, glitch, deformed, mutated, cross-eyed, ugly, disfigured",
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},
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{
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"name": "3D Model",
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"prompt": "professional 3d model {prompt} . octane render, highly detailed, volumetric, dramatic lighting",
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@@ -132,9 +122,6 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
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seed = random.randint(0, MAX_SEED)
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return seed
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@torch.no_grad()
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@torch.inference_mode()
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@spaces.GPU(duration=30)
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def generate(
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prompt: str,
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@@ -176,24 +163,15 @@ def generate(
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examples = [
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"A Monkey with a happy face in the Sahara desert.",
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"Eiffel Tower was Made up of ICE
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"3D small, round, fluffy creature with big, expressive eyes explores a vibrant, enchanted forest. The creature, a whimsical blend of a rabbit and a squirrel, has soft blue fur and a bushy, striped tail. It hops along a sparkling stream, its eyes wide with wonder. The forest is alive with magical elements: flowers that glow and change colors, trees with leaves in shades of purple and silver, and small floating lights that resemble fireflies. The creature stops to interact playfully with a group of tiny, fairy-like beings dancing around a mushroom ring. The creature looks up in awe at a large, glowing tree that seems to be the heart of the forest.",
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"Color photo of a corgi made of transparent glass, standing on the riverside in Yosemite National Park.",
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"A close-up photo of a woman. She wore a blue coat with a gray dress underneath
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"A litter of golden retriever puppies playing in the snow. Their heads pop out of the snow, covered in.",
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"a handsome young boy in the middle with sky color background wearing eye glasses, it's super detailed with anime style, it's a portrait with delicated eyes and nice looking face",
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"an astronaut sitting in a diner, eating fries, cinematic, analog film",
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"Pirate ship trapped in a cosmic maelstrom nebula, rendered in cosmic beach whirlpool engine, volumetric lighting, spectacular, ambient lights, intricate detail.",
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"professional portrait photo of an anthropomorphic cat wearing fancy gentleman hat and jacket walking in autumn forest.",
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]
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with gr.Blocks() 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.Row(equal_height=False):
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with gr.Group():
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with gr.Row():
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DESCRIPTION = """ # Instant Image
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### Super fast text to Image Generator.
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### <span style='color: red;'>You may change the steps from 4 to 8, if you didn't get satisfied results.
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### First Image processing takes time then images generate faster.
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"""
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if not torch.cuda.is_available():
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"prompt": "anime artwork {prompt} . anime style, key visual, vibrant, studio anime, highly detailed",
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"negative_prompt": "photo, deformed, black and white, realism, disfigured, low contrast",
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},
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{
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"name": "Digital Art",
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"prompt": "concept art {prompt} . digital artwork, illustrative, painterly, matte painting, highly detailed",
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"prompt": "ethereal fantasy concept art of {prompt} . magnificent, celestial, ethereal, painterly, epic, majestic, magical, fantasy art, cover art, dreamy",
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"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",
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},
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{
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"name": "3D Model",
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"prompt": "professional 3d model {prompt} . octane render, highly detailed, volumetric, dramatic lighting",
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seed = random.randint(0, MAX_SEED)
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return seed
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@spaces.GPU(duration=30)
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def generate(
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prompt: str,
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examples = [
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"A Monkey with a happy face in the Sahara desert.",
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"Eiffel Tower was Made up of ICE.",
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"Color photo of a corgi made of transparent glass, standing on the riverside in Yosemite National Park.",
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"A close-up photo of a woman. She wore a blue coat with a gray dress underneath and has blue eyes.",
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"A litter of golden retriever puppies playing in the snow. Their heads pop out of the snow, covered in.",
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"an astronaut sitting in a diner, eating fries, cinematic, analog film",
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]
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with gr.Blocks() as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Row(equal_height=False):
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with gr.Group():
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with gr.Row():
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