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app.py

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+import gradio as gr
+import requests
+import io
+import random
+import os
+from PIL import Image
+
+list_models = [
+    "SD-1.4",
+    "SD-1.5",
+    "SD-2.1",
+    "SDXL-1.0",
+    "OpenJourney-V4",
+    "Midjourney-mini",
+    "Dreamshaper-XL-1.0",
+    "Protogen-x5.8",
+    "WavyFusion",
+    "OpenGen",
+    "Deliberate",
+    "Pixel-Art-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-1.4":
+        API_URL = "https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4"
+    elif current_model == "SD-1.5":
+        API_URL = "https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5"
+    elif current_model == "SD-2.1":
+        API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1"
+    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 == "Midjourney-mini":
+        API_URL = "https://api-inference.huggingface.co/models/openskyml/midjourney-mini"
+    elif current_model == "Dreamshaper-XL-1.0":
+        API_URL = "https://api-inference.huggingface.co/models/Lykon/dreamshaper-xl-1-0"
+    elif current_model == "Protogen-x5.8":
+        API_URL = "https://api-inference.huggingface.co/models/darkstorm2150/Protogen_x5.8_Official_Release"
+    elif current_model == "WavyFusion":
+        API_URL = "https://api-inference.huggingface.co/models/wavymulder/wavyfusion"
+    elif current_model == "OpenGen":
+        API_URL = "https://api-inference.huggingface.co/models/darkstorm2150/OpenGen"
+    elif current_model == "Deliberate":
+        API_URL = "https://api-inference.huggingface.co/models/Yntec/Deliberate"
+    elif current_model == "Pixel-Art-XL":
+        API_URL = "https://api-inference.huggingface.co/models/nerijs/pixel-art-xl"
+
+
+    API_TOKEN = "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"
+    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)
+        }
+
+    # Вставьте ваш код для запроса к модели и получения изображения
+    image_bytes = requests.post(API_URL, headers=headers, json=payload).content
+    image = Image.open(io.BytesIO(image_bytes))
+    return image
+
+
+css = """
+        .gradio-container {
+            font-family: 'IBM Plex Sans', sans-serif;
+        }
+        .gr-button {
+            color: white;
+            border-color: black;
+            background: black;
+        }
+        input[type='range'] {
+            accent-color: black;
+        }
+        .dark input[type='range'] {
+            accent-color: #dfdfdf;
+        }
+        .gradio-container {
+            max-width: 730px !important;
+            margin: auto;
+            padding-top: 1.5rem;
+        }
+        #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;
+        }
+        #gallery>div>.h-full {
+            min-height: 20rem;
+        }
+        .details:hover {
+            text-decoration: underline;
+        }
+        .gr-button {
+            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;
+        }
+        #advanced-btn {
+            font-size: .7rem !important;
+            line-height: 19px;
+            margin-top: 12px;
+            margin-bottom: 12px;
+            padding: 2px 8px;
+            border-radius: 14px !important;
+        }
+        #advanced-options {
+            display: none;
+            margin-bottom: 20px;
+        }
+        .footer {
+            margin-bottom: 45px;
+            margin-top: 35px;
+            text-align: center;
+            border-bottom: 1px solid #e5e5e5;
+        }
+        .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;
+        }
+        .acknowledgments h4{
+            margin: 1.25em 0 .25em 0;
+            font-weight: bold;
+            font-size: 115%;
+        }
+        .animate-spin {
+            animation: spin 1s linear infinite;
+        }
+        @keyframes spin {
+            from {
+                transform: rotate(0deg);
+            }
+            to {
+                transform: rotate(360deg);
+            }
+        }
+        #share-btn-container {padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; max-width: 13rem; margin-left: auto;}
+        div#share-btn-container > div {flex-direction: row;background: black;align-items: center}
+        #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-top: 0.5rem !important; padding-bottom: 0.5rem !important;right:0;}
+        #share-btn * {all: unset}
+        #share-btn-container div:nth-child(-n+2){width: auto !important;min-height: 0px !important;}
+        #share-btn-container .wrap {display: none !important}
+        #share-btn-container.hidden {display: none!important}
+        .gr-form{
+            flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0;
+        }
+        #prompt-container{
+            gap: 0;
+        }
+        #prompt-container .form{
+        border-top-right-radius: 0;
+        border-bottom-right-radius: 0;
+        }
+        #gen-button{
+        border-top-left-radius:0;
+        border-bottom-left-radius:0;
+        }
+        #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem}
+        #component-16{border-top-width: 1px!important;margin-top: 1em}
+        .image_duplication{position: absolute; width: 100px; left: 50px}
+        .tabitem{border: 0 !important}
+"""
+
+with gr.Blocks(css=css) as sdxl:
+    favicon = '<img src="https://www.gstatic.com/android/keyboard/emojikitchen/20201001/u1f917/u1f917_u1f31e.png" width="48px" style="display: inline">'
+    gr.Markdown(
+        f"""<h1><center>{favicon} HuggingDiffusion</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 cat", 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)
+
+sdxl.launch(show_api=False)

requirements.txt

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+gradio=4.1.1
+requests
+pillow