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| import gradio as gr | |
| import requests | |
| import io | |
| import random | |
| import os | |
| from PIL import Image | |
| list_models = [ | |
| "SDXL-1.0", | |
| "SD-1.5", | |
| "OpenJourney-V4", | |
| "Anything-V4", | |
| "Disney-Pixar-Cartoon", | |
| "Pixel-Art-XL", | |
| "Dalle-3-XL", | |
| "Midjourney-V4-XL", | |
| ] | |
| 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-V4": | |
| API_URL = "https://api-inference.huggingface.co/models/prompthero/openjourney" | |
| elif current_model == "Anything-V4": | |
| 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" | |
| 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; | |
| } | |
| /* Button Styles */ | |
| .gr-button { | |
| color: white; | |
| border-color: black; | |
| background: black; | |
| white-space: nowrap; | |
| } | |
| .gr-button:focus { | |
| border-color: rgb(147 197 253 / var(--tw-border-opacity)); | |
| outline: none; | |
| box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); | |
| --tw-border-opacity: 1; | |
| --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); | |
| --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); | |
| --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); | |
| --tw-ring-opacity: .5; | |
| } | |
| /* Footer Styles */ | |
| .footer, .dark .footer { | |
| margin-bottom: 45px; | |
| margin-top: 35px; | |
| text-align: center; | |
| border-bottom: 1px solid #e5e5e5; | |
| } | |
| .footer > p, .dark .footer > p { | |
| font-size: .8rem; | |
| display: inline-block; | |
| padding: 0 10px; | |
| transform: translateY(10px); | |
| background: white; | |
| } | |
| .dark .footer { | |
| border-color: #303030; | |
| } | |
| .dark .footer > p { | |
| background: #0b0f19; | |
| } | |
| /* Share Button Styles */ | |
| #share-btn-container { | |
| padding: 0 0.5rem !important; | |
| background-color: #000000; | |
| justify-content: center; | |
| align-items: center; | |
| border-radius: 9999px !important; | |
| max-width: 13rem; | |
| margin-left: auto; | |
| } | |
| #share-btn-container:hover { | |
| background-color: #060606; | |
| } | |
| #share-btn { | |
| all: initial; | |
| color: #ffffff; | |
| font-weight: 600; | |
| cursor: pointer; | |
| font-family: 'IBM Plex Sans', sans-serif; | |
| margin-left: 0.5rem !important; | |
| padding: 0.5rem !important; | |
| right: 0; | |
| } | |
| /* Animation Styles */ | |
| .animate-spin { | |
| animation: spin 1s linear infinite; | |
| } | |
| @keyframes spin { | |
| from { transform: rotate(0deg); } | |
| to { transform: rotate(360deg); } | |
| } | |
| /* Other Styles */ | |
| #gallery { | |
| min-height: 22rem; | |
| margin-bottom: 15px; | |
| margin-left: auto; | |
| margin-right: auto; | |
| border-bottom-right-radius: .5rem !important; | |
| border-bottom-left-radius: .5rem !important; | |
| } | |
| """ | |
| with gr.Blocks(css=css) as demo: | |
| favicon = '<img src="" width="48px" style="display: inline">' | |
| gr.Markdown( | |
| f"""<h1><center>{favicon} AI Diffusion</center></h1> | |
| """ | |
| ) | |
| with gr.Row(elem_id="prompt-container"): | |
| current_model = gr.Dropdown(label="Current Model", choices=list_models, value=list_models[1]) | |
| with gr.Row(elem_id="prompt-container"): | |
| text_prompt = gr.Textbox(label="Prompt", placeholder="a cute dog", lines=1, elem_id="prompt-text-input") | |
| text_button = gr.Button("Generate", variant='primary', elem_id="gen-button") | |
| with gr.Row(): | |
| image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") | |
| with gr.Accordion("Advanced settings", open=False): | |
| negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") | |
| image_style = gr.Dropdown(label="Style", choices=["None style", "Cinematic", "Digital Art", "Portrait"], value="None style", allow_custom_value=False) | |
| text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output) | |
| demo.launch(show_api=False) |