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| import gradio as gr | |
| import requests | |
| import io | |
| import random | |
| import os | |
| from PIL import Image | |
| # List of available models | |
| list_models = [ | |
| "SDXL 1.0", "SD 1.5", "OpenJourney", "Anything V4.0", | |
| "Disney Pixar Cartoon", "Pixel Art XL", "Dalle 3 XL", | |
| "Midjourney V4 XL", "Open Diffusion V1", "SSD 1B", | |
| "Segmind Vega", "Animagine XL-2.0", | |
| ] | |
| # Function to generate images from text | |
| def generate_txt2img(current_model, prompt, is_negative=False, image_style="None style", steps=50, cfg_scale=7, seed=None): | |
| if current_model == "SD 1.5": | |
| API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5" | |
| elif current_model == "SDXL 1.0": | |
| API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0" | |
| elif current_model == "OpenJourney": | |
| API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney" | |
| elif current_model == "Anything V4.0": | |
| API_URL = "https://api-inference.huggingface.co/models/xyn-ai/anything-v4.0" | |
| elif current_model == "Disney Pixar Cartoon": | |
| API_URL = "https://api-inference.huggingface.co/models/stablediffusionapi/disney-pixar-cartoon" | |
| elif current_model == "Pixel Art XL": | |
| API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl" | |
| elif current_model == "Dalle 3 XL": | |
| API_URL = "https://api-inference.huggingface.co/models/openskyml/dalle-3-xl" | |
| elif current_model == "Midjourney V4 XL": | |
| API_URL = "https://api-inference.huggingface.co/models/openskyml/midjourney-v4-xl" | |
| elif current_model == "Open Diffusion V1": | |
| API_URL = "https://api-inference.huggingface.co/models/openskyml/open-diffusion-v1" | |
| elif current_model == "SSD 1B": | |
| API_URL = "https://api-inference.huggingface.co/models/segmind/SSD-1B" | |
| elif current_model == "Segmind Vega": | |
| API_URL = "https://api-inference.huggingface.co/models/segmind/Segmind-Vega" | |
| elif current_model == "Animagine XL-2.0": | |
| API_URL = "https://api-inference.huggingface.co/models/Linaqruf/animagine-xl-2.0" | |
| API_TOKEN = os.environ.get("HF_READ_TOKEN") | |
| headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
| if image_style == "None style": | |
| payload = { | |
| "inputs": prompt + ", 8k", | |
| "is_negative": is_negative, | |
| "steps": steps, | |
| "cfg_scale": cfg_scale, | |
| "seed": seed if seed is not None else random.randint(-1, 2147483647) | |
| } | |
| elif image_style == "Cinematic": | |
| payload = { | |
| "inputs": prompt + ", realistic, detailed, textured, skin, hair, eyes, by Alex Huguet, Mike Hill, Ian Spriggs, JaeCheol Park, Marek Denko", | |
| "is_negative": is_negative + ", abstract, cartoon, stylized", | |
| "steps": steps, | |
| "cfg_scale": cfg_scale, | |
| "seed": seed if seed is not None else random.randint(-1, 2147483647) | |
| } | |
| elif image_style == "Digital Art": | |
| payload = { | |
| "inputs": prompt + ", faded , vintage , nostalgic , by Jose Villa , Elizabeth Messina , Ryan Brenizer , Jonas Peterson , Jasmine Star", | |
| "is_negative": is_negative + ", sharp , modern , bright", | |
| "steps": steps, | |
| "cfg_scale": cfg_scale, | |
| "seed": seed if seed is not None else random.randint(-1, 2147483647) | |
| } | |
| elif image_style == "Portrait": | |
| payload = { | |
| "inputs": 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)", | |
| "is_negative": is_negative, | |
| "steps": steps, | |
| "cfg_scale": cfg_scale, | |
| "seed": seed if seed is not None else random.randint(-1, 2147483647) | |
| } | |
| image_bytes = requests.post(API_URL, headers=headers, json=payload).content | |
| image = Image.open(io.BytesIO(image_bytes)) | |
| return image | |
| css = """ | |
| /* General Container Styles */ | |
| .gradio-container { | |
| font-family: 'IBM Plex Sans', sans-serif; | |
| max-width: 730px !important; | |
| margin: auto; | |
| padding-top: 1.5rem; | |
| text-align: center; /* Center the content horizontally */ | |
| } | |
| /* Button Styles */ | |
| .gr-button { | |
| color: white; | |
| background: #007bff; /* Use a primary color for the background */ | |
| white-space: nowrap; | |
| border: none; | |
| padding: 10px 20px; | |
| border-radius: 8px; | |
| cursor: pointer; | |
| transition: background-color 0.3s, color 0.3s; | |
| } | |
| .gr-button:hover { | |
| background-color: #0056b3; /* Darken the background color on hover */ | |
| } | |
| /* Share Button Styles */ | |
| #share-btn-container { | |
| padding: 0.5rem !important; | |
| background-color: #007bff; /* Use a primary color for the background */ | |
| justify-content: center; | |
| align-items: center; | |
| border-radius: 9999px !important; | |
| max-width: 13rem; | |
| margin: 0 auto; /* Center the container horizontally */ | |
| transition: background-color 0.3s; | |
| } | |
| #share-btn-container:hover { | |
| background-color: #0056b3; /* Darken the background color on hover */ | |
| } | |
| #share-btn { | |
| all: initial; | |
| color: #ffffff; | |
| font-weight: 600; | |
| cursor: pointer; | |
| font-family: 'IBM Plex Sans', sans-serif; | |
| margin: 0.5rem !important; | |
| padding: 0.5rem !important; | |
| } | |
| /* Other Styles */ | |
| #gallery { | |
| min-height: 22rem; | |
| margin: auto; /* Center the gallery horizontally */ | |
| border-bottom-right-radius: 0.5rem !important; | |
| border-bottom-left-radius: 0.5rem !important; | |
| } | |
| /* Centered Container for the Image */ | |
| .image-container { | |
| max-width: 100%; /* Set the maximum width for the container */ | |
| margin: auto; /* Center the container horizontally */ | |
| padding: 20px; /* Add padding for spacing */ | |
| border: 1px solid #ccc; /* Add a subtle border to the container */ | |
| border-radius: 10px; | |
| overflow: hidden; /* Hide overflow if the image is larger */ | |
| max-height: 22rem; /* Set a maximum height for the container */ | |
| } | |
| /* Set a fixed size for the image */ | |
| .image-container img { | |
| max-width: 100%; /* Ensure the image fills the container */ | |
| height: auto; /* Maintain aspect ratio */ | |
| max-height: 100%; /* Set a maximum height for the image */ | |
| border-radius: 10px; | |
| box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.2); | |
| } | |
| """ | |
| # Creating Gradio interface | |
| with gr.Blocks(css=css) as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| gr.Markdown("<h1>AI Diffusion</h1>") | |
| current_model = gr.Dropdown(label="Select Model", choices=list_models, value=list_models[1]) | |
| text_prompt = gr.Textbox(label="Enter Prompt", placeholder="Example: a cute dog", lines=2) | |
| generate_button = gr.Button("Generate Image", variant='primary') | |
| with gr.Column(): | |
| gr.Markdown("<h4>Advanced Settings</h4>") | |
| with gr.Accordion("Advanced Customizations", open=False): | |
| negative_prompt = gr.Textbox(label="Negative Prompt (Optional)", placeholder="Example: blurry, unfocused", lines=2) | |
| image_style = gr.Dropdown(label="Select Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style") | |
| # Add more options if needed | |
| with gr.Row(): | |
| image_output = gr.Image(type="pil", label="Output Image") | |
| generate_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output) | |
| # Launch the app | |
| demo.launch() |