Create app.py

app.py

@@ -0,0 +1,192 @@
+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)