Update app.py

app.py

@@ -1,4 +1,5 @@
-#path1.0398
+#!/usr/bin/env python
+
 import os
 import random
 import uuid
@@ -12,7 +13,8 @@ import torch
 from diffusers import DiffusionPipeline
 from typing import Tuple
 
-# BaseConditions
+# Check for the Model Base
+
 bad_words = json.loads(os.getenv('BAD_WORDS', "[]"))
 bad_words_negative = json.loads(os.getenv('BAD_WORDS_NEGATIVE', "[]"))
 default_negative = os.getenv("default_negative","")
@@ -27,121 +29,49 @@ def check_text(prompt, negative=""):
     return False
 
 style_list = [
-    {
-        "name": "3840 x 2160",
-        "prompt": "hyper-realistic 8K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
-        "negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
-    },
     {
         "name": "2560 x 1440",
         "prompt": "hyper-realistic 4K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
         "negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
     },
     {
-        "name": "3D Model",
-        "prompt": "professional 3d model {prompt}. octane render, highly detailed, volumetric, dramatic lighting",
-        "negative_prompt": "ugly, deformed, noisy, low poly, blurry, painting",
-    },
-]
-
-collage_style_list = [
-
-
-    {
-        "name": "B & W",
-        "prompt": "black and white collage of {prompt}. monochromatic, timeless, classic, dramatic contrast",
-        "negative_prompt": "colorful, vibrant, bright, flashy",
-    },
-
-    {
-        "name": "Polaroid",
-        "prompt": "collage of polaroid photos featuring {prompt}. vintage style, high contrast, nostalgic, instant film aesthetic",
-        "negative_prompt": "digital, modern, low quality, blurry",
-    },
-    
-    {
-        "name": "Watercolor",
-        "prompt": "watercolor collage of {prompt}. soft edges, translucent colors, painterly effects",
-        "negative_prompt": "digital, sharp lines, solid colors",
+        "name": "Photo",
+        "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": "Cinematic",
-        "prompt": "cinematic collage of {prompt}. film stills, movie posters, dramatic lighting",
-        "negative_prompt": "static, lifeless, mundane",
+        "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": "Nostalgic",
-        "prompt": "nostalgic collage of {prompt}. retro imagery, vintage objects, sentimental journey",
-        "negative_prompt": "contemporary, futuristic, forward-looking",
+        "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": "Vintage",
-        "prompt": "vintage collage of {prompt}. aged paper, sepia tones, retro imagery, antique vibes",
-        "negative_prompt": "modern, contemporary, futuristic, high-tech",
-    },
-    
-    {
-    "name": "StoryBook",
-    "prompt": "storybook collage of {prompt}. whimsical illustrations, handwritten text, fairy tale motifs",
-    "negative_prompt": "technical, sterile, devoid of imagination",
-    },
-
-    
-    {
-        "name": "NeoNGlow",
-        "prompt": "neon glow collage of {prompt}. vibrant colors, glowing effects, futuristic vibes",
-        "negative_prompt": "dull, muted colors, vintage, retro",
-    },
-    
-    {
-        "name": "Geometric",
-        "prompt": "geometric collage of {prompt}. abstract shapes, colorful, sharp edges, modern design, high quality",
-        "negative_prompt": "blurry, low quality, traditional, dull",
-    },
-    
-    {
-    "name": "ComicBook",
-    "prompt": "comic book-style collage of {prompt}. dynamic panels, speech bubbles, bold lines, vibrant colors",
-    "negative_prompt": "static, monotonous, muted colors",
+        "name": "3D Model",
+        "prompt": "professional 3d model {prompt}. octane render, highly detailed, volumetric, dramatic lighting",
+        "negative_prompt": "ugly, deformed, noisy, low poly, blurry, painting",
     },
-
     {
-        "name": "Retro Pop",
-        "prompt": "retro pop art collage of {prompt}. bold colors, comic book style, halftone dots, vintage ads",
-        "negative_prompt": "subdued colors, minimalist, modern, subtle",
-    },
-
-
-    {
-        "name": "No Style",
+        "name": "(No style)",
         "prompt": "{prompt}",
         "negative_prompt": "",
     },
 ]
 
 styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
-collage_styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in collage_style_list}
 STYLE_NAMES = list(styles.keys())
-COLLAGE_STYLE_NAMES = list(collage_styles.keys())
-DEFAULT_STYLE_NAME = "3840 x 2160"
-DEFAULT_COLLAGE_STYLE_NAME = "Cinematic"
+DEFAULT_STYLE_NAME = "2560 x 1440"
 
 def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
-    if style_name in styles:
-        p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
-    elif style_name in collage_styles:
-        p, n = collage_styles.get(style_name, collage_styles[DEFAULT_COLLAGE_STYLE_NAME])
-    else:
-        p, n = styles[DEFAULT_STYLE_NAME]
-    
+    p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
     if not negative:
         negative = ""
     return p.replace("{prompt}", positive), n + negative
 
-DESCRIPTION = """"""
+DESCRIPTION = """ """
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>⚠️Running on CPU, This may not work on CPU.</p>"
 
@@ -153,27 +83,38 @@ ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
+NUM_IMAGES_PER_PROMPT = 1
+
 if torch.cuda.is_available():
     pipe = DiffusionPipeline.from_pretrained(
         "Corcelio/mobius",
         torch_dtype=torch.float16,
         use_safetensors=True,
-        add_watermarker=False,
-        variant="fp16"
-    ).to(device)
-
+        add_watermarker=False
+    )
+    pipe2 = DiffusionPipeline.from_pretrained(
+        "ByteDance/SDXL-Lightning",
+        torch_dtype=torch.float16,
+        use_safetensors=True,
+        add_watermarker=False
+    )
     if ENABLE_CPU_OFFLOAD:
         pipe.enable_model_cpu_offload()
+        pipe2.enable_model_cpu_offload()
     else:
-        pipe.to(device)
+        pipe.to(device)    
+        pipe2.to(device)    
         print("Loaded on Device!")
-
+    
     if USE_TORCH_COMPILE:
         pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+        pipe2.unet = torch.compile(pipe2.unet, mode="reduce-overhead", fullgraph=True)
         print("Model Compiled!")
 
-def save_image(img, path):
-    img.save(path)
+def save_image(img):
+    unique_name = str(uuid.uuid4()) + ".png"
+    img.save(unique_name)
+    return unique_name
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed:
@@ -186,8 +127,6 @@ def generate(
     negative_prompt: str = "",
     use_negative_prompt: bool = False,
     style: str = DEFAULT_STYLE_NAME,
-    collage_style: str = DEFAULT_COLLAGE_STYLE_NAME,
-    grid_size: str = "2x2",
     seed: int = 0,
     width: int = 1024,
     height: int = 1024,
@@ -199,11 +138,7 @@ def generate(
     if check_text(prompt, negative_prompt):
         raise ValueError("Prompt contains restricted words.")
     
-    if collage_style != "No Style":
-        prompt, negative_prompt = apply_style(collage_style, prompt, negative_prompt)
-    else:
-        prompt, negative_prompt = apply_style(style, prompt, negative_prompt)
-    
+    prompt, negative_prompt = apply_style(style, prompt, negative_prompt)
     seed = int(randomize_seed_fn(seed, randomize_seed))
     generator = torch.Generator().manual_seed(seed)
 
@@ -211,18 +146,6 @@ def generate(
         negative_prompt = ""  # type: ignore
     negative_prompt += default_negative    
 
-    grid_sizes = {
-        "2x1": (2, 1),
-        "1x2": (1, 2),
-        "2x2": (2, 2),
-        "2x3": (2, 3),
-        "3x2": (3, 2),
-        "1x1": (1, 1)
-    }
-    
-    grid_size_x, grid_size_y = grid_sizes.get(grid_size, (2, 2))
-    num_images = grid_size_x * grid_size_y
-
     options = {
         "prompt": prompt,
         "negative_prompt": negative_prompt,
@@ -231,35 +154,28 @@ def generate(
         "guidance_scale": guidance_scale,
         "num_inference_steps": 25,
         "generator": generator,
-        "num_images_per_prompt": num_images,
+        "num_images_per_prompt": NUM_IMAGES_PER_PROMPT,
         "use_resolution_binning": use_resolution_binning,
         "output_type": "pil",
     }
     
-    torch.cuda.empty_cache()  # Clear GPU memory
-    images = pipe(**options).images
-
-    grid_img = Image.new('RGB', (width * grid_size_x, height * grid_size_y))
-
-    for i, img in enumerate(images[:num_images]):
-        grid_img.paste(img, (i % grid_size_x * width, i // grid_size_x * height))
+    images = pipe(**options).images + pipe2(**options).images
 
-    unique_name = str(uuid.uuid4()) + ".png"
-    save_image(grid_img, unique_name)
-    return [unique_name], seed
+    image_paths = [save_image(img) for img in images]
+    return image_paths, seed
 
 examples = [
-
-    "Portrait of a beautiful woman in a hat, summer outfit, with freckles on her face, in a close up shot, with sunlight, outdoors, in soft light, with a beach background, looking at the camera, with high resolution photography, in the style of Hasselblad X2D50c --ar 85:128 --v 6.0 --style raw",
-    "Dragon ball, portrait of dr goku, in the style of street art aesthetic, cute cartoonish designs, photo-realistic techniques, dark red, childhood arcadias, anime aesthetic, cartoon-like figures --ar 73:98 --stylize 750 --v 6"
-    
+    "A closeup of a cat, a window, in a rustic cabin, close up, with a shallow depth of field, with a vintage film grain, in the style of Annie Leibovitz and in the style of Wes Anderson. --ar 85:128 --v 6.0 --style raw",
+    "Daria Morgendorffer the main character of the animated series Daria, serious expression, very excites sultry look, so hot girl, beautiful charismatic girl, so hot shot, a woman wearing eye glasses, gorgeous figure, interesting shapes, life-size figures",
+    "Dark green large leaves of anthurium, close up, photography, aerial view, in the style of unsplash, hasselblad h6d400c  --ar 85:128 --v 6.0 --style raw",
+    "Closeup of blonde woman depth of field, bokeh, shallow focus, minimalism, fujifilm xh2s with Canon EF lens, cinematic --ar 85:128 --v 6.0 --style raw"
 ]
 
 css = '''
-.gradio-container{max-width: 530px !important}
+.gradio-container{max-width: 700px !important}
 h1{text-align:center}
 '''
-with gr.Blocks(css=css, theme="xiaobaiyuan/theme_brief") as demo:
+with gr.Blocks(css=css, theme="finlaymacklon/smooth_slate") as demo:
     gr.Markdown(DESCRIPTION)
     gr.DuplicateButton(
         value="Duplicate Space for private use",
@@ -276,49 +192,23 @@ with gr.Blocks(css=css, theme="xiaobaiyuan/theme_brief") as demo:
                 container=False,
             )
             run_button = gr.Button("Run")
-        result = gr.Gallery(label="Grid", columns=1, preview=True)
-
-    with gr.Row(visible=True):
-        collage_style_selection = gr.Radio(
-            show_label=True,
-            container=True,
-            interactive=True,
-            choices=COLLAGE_STYLE_NAMES,
-            value=DEFAULT_COLLAGE_STYLE_NAME,
-            label="Collage Template",
-        )
-    with gr.Row(visible=True):
-        grid_size_selection = gr.Dropdown(
-            choices=["2x1", "1x2", "2x2", "2x3", "3x2", "1x1"],
-            value="2x3",
-            label="Grid Size"
-        )
-    with gr.Row(visible=True):
-        style_selection = gr.Radio(
-            show_label=True,
-            container=True,
-            interactive=True,
-            choices=STYLE_NAMES,
-            value=DEFAULT_STYLE_NAME,
-            label="Style",
-        )
- 
+        result = gr.Gallery(label="Result", columns=1, preview=True)
     with gr.Accordion("Advanced options", open=False):
         use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True, visible=True)
         negative_prompt = gr.Text(
             label="Negative prompt",
             max_lines=1,
             placeholder="Enter a negative prompt",
-            value="(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",
+            value="(deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck",
             visible=True,
         )
         with gr.Row():
             num_inference_steps = gr.Slider(
                 label="Steps",
                 minimum=10,
-                maximum=30,
+                maximum=60,
                 step=1,
-                value=15,
+                value=30,
             )
         with gr.Row():
             num_images_per_prompt = gr.Slider(
@@ -337,8 +227,6 @@ with gr.Blocks(css=css, theme="xiaobaiyuan/theme_brief") as demo:
             visible=True
         )
         randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-
-        
         with gr.Row(visible=True):
             width = gr.Slider(
                 label="Width",
@@ -354,9 +242,6 @@ with gr.Blocks(css=css, theme="xiaobaiyuan/theme_brief") as demo:
                 step=8,
                 value=1024,
             )
-
-
-            
         with gr.Row():
             guidance_scale = gr.Slider(
                 label="Guidance Scale",
@@ -365,9 +250,15 @@ with gr.Blocks(css=css, theme="xiaobaiyuan/theme_brief") as demo:
                 step=0.1,
                 value=6,
             )
- 
-
-
+    with gr.Row(visible=True):
+        style_selection = gr.Radio(
+            show_label=True,
+            container=True,
+            interactive=True,
+            choices=STYLE_NAMES,
+            value=DEFAULT_STYLE_NAME,
+            label="Image Style",
+        )
     gr.Examples(
         examples=examples,
         inputs=prompt,
@@ -395,8 +286,6 @@ with gr.Blocks(css=css, theme="xiaobaiyuan/theme_brief") as demo:
             negative_prompt,
             use_negative_prompt,
             style_selection,
-            collage_style_selection,
-            grid_size_selection,
             seed,
             width,
             height,