| import gradio as gr | |
| import numpy as np | |
| import random | |
| from diffusers import DiffusionPipeline | |
| from safetensors.torch import load_file | |
| from huggingface_hub import hf_hub_download | |
| import torch | |
| from typing import Tuple | |
| style_list = [ | |
| { | |
| "name": "(No style)", | |
| "prompt": "{prompt}", | |
| "negative_prompt": "", | |
| }, | |
| { | |
| "name": "Cinematic", | |
| "prompt": "cinematic still {prompt} . emotional, harmonious, vignette, highly detailed, high budget, bokeh, 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": "Digital Art", | |
| "prompt": "concept art {prompt} . digital artwork, illustrative, painterly, matte painting, highly detailed", | |
| "negative_prompt": "photo, photorealistic, realism, ugly", | |
| }, | |
| { | |
| "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": "3D Model", | |
| "prompt": "professional 3d model {prompt} . octane render, highly detailed, volumetric, dramatic lighting", | |
| "negative_prompt": "ugly, deformed, noisy, low poly, blurry, painting", | |
| }, | |
| ] | |
| 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 | |
| pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16, use_safetensors=True, variant="fp16") | |
| pipe.to("cuda") | |
| MAX_SEED = np.iinfo(np.int32).max | |
| MAX_IMAGE_SIZE = 1024 | |
| def infer(prompt, negative_prompt, width, height, guidance_scale, style_name=None): | |
| seed = random.randint(0,4294967295) | |
| generator = torch.Generator().manual_seed(seed) | |
| prompt, negative_prompt = apply_style(style_name, prompt, negative_prompt) | |
| image = [pipe( | |
| prompt = prompt, | |
| negative_prompt = negative_prompt, | |
| guidance_scale = guidance_scale, | |
| width = width, | |
| height = height, | |
| generator = generator | |
| ).images[0] for _ in range(4)] | |
| return image | |
| examples = [ | |
| "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k", | |
| "An astronaut riding a green horse", | |
| "A delicious ceviche cheesecake slice", | |
| "A serious capybara at work, wearing a suit", | |
| 'a graffiti of a robot serving meals to people', | |
| ] | |
| css=""" | |
| #col-container { | |
| margin: 0 auto; | |
| max-width: 600px; | |
| padding-top: 20px; | |
| text-align: center; | |
| } | |
| .header { | |
| margin: 25px auto 10px auto; | |
| text-align: center; | |
| max-width: 600px; | |
| } | |
| .footer { | |
| margin: 25px auto 45px auto; | |
| text-align: center; | |
| max-width: 600px; | |
| } | |
| .footer>p { | |
| font-size: .8rem; | |
| display: inline-block; | |
| padding: 0 10px; | |
| transform: translateY(10px); | |
| } | |
| """ | |
| if torch.cuda.is_available(): | |
| power_device = "GPU" | |
| else: | |
| power_device = "CPU" | |
| with gr.Blocks(css=css) as demo: | |
| with gr.Column(elem_id="col-container"): | |
| gr.HTML( | |
| """ | |
| <div class="header"> | |
| <h1>Welcome to Metamorph: Your Creative Gateway</h1> | |
| <h4> | |
| Transform your words into stunning visuals with our advanced AI-powered Text-to-Image generator | |
| </h4> | |
| </div> | |
| """) | |
| gr.Markdown(f""" | |
| Currently running on {power_device}. | |
| """) | |
| with gr.Row(): | |
| prompt = gr.Text( | |
| label="Prompt", | |
| show_label=False, | |
| max_lines=1, | |
| placeholder="Enter your prompt", | |
| container=False, | |
| ) | |
| run_button = gr.Button("Generate", scale=0) | |
| result = gr.Gallery(label="Results", show_label=False, format="png", show_share_button=False) | |
| with gr.Accordion("Advanced Settings", open=False): | |
| negative_prompt = gr.Textbox( | |
| label="Negative prompt", | |
| show_label=False, | |
| max_lines=1, | |
| placeholder="Enter a negative prompt", | |
| elem_id="negative-prompt-text-input" | |
| ) | |
| style_selection = gr.Radio( | |
| show_label=True, container=True, interactive=True, | |
| choices=STYLE_NAMES, | |
| value=DEFAULT_STYLE_NAME, | |
| label='Image Style' | |
| ) | |
| with gr.Row(): | |
| width = gr.Slider( | |
| label="Width", | |
| minimum=256, | |
| maximum=MAX_IMAGE_SIZE, | |
| step=32, | |
| value=1024, | |
| ) | |
| height = gr.Slider( | |
| label="Height", | |
| minimum=256, | |
| maximum=MAX_IMAGE_SIZE, | |
| step=32, | |
| value=1024, | |
| ) | |
| with gr.Row(): | |
| guidance_scale = gr.Slider( | |
| label="Guidance scale", | |
| minimum=0.0, | |
| maximum=50.0, | |
| step=0.1, | |
| value=10, | |
| ) | |
| gr.Examples( | |
| examples = examples, | |
| inputs = [prompt] | |
| ) | |
| gr.HTML( | |
| """ | |
| <div class="footer"> | |
| <p> | |
| This application harnesses the cutting-edge Stable Diffusion XL (SDXL) model by <a href="https://huggingface.co/stabilityai" style="text-decoration: underline;" target="_blank">StabilityAI</a>, offering unparalleled text-to-image generation, while acknowledging potential biases and content considerations outlined in the model card.</p> | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| run_button.click( | |
| fn = infer, | |
| inputs = [prompt, negative_prompt, width, height, guidance_scale, style_selection], | |
| outputs = [result] | |
| ) | |
| demo.queue().launch() |