Update app.py

app.py

@@ -1,5 +1,7 @@
 #!/usr/bin/env python
-
+#patch 0.04
+#Func() Dalle Collage Moved Midjourney Space 
+#Pruned DalleCollage Space 
 import os
 import random
 import uuid
@@ -13,10 +15,7 @@ import torch
 from diffusers import DiffusionPipeline
 from typing import Tuple
 
-#Check for the Model Base..//
-
-
-
+#BaseConditions--
 bad_words = json.loads(os.getenv('BAD_WORDS', "[]"))
 bad_words_negative = json.loads(os.getenv('BAD_WORDS_NEGATIVE', "[]"))
 default_negative = os.getenv("default_negative","")
@@ -30,10 +29,12 @@ def check_text(prompt, negative=""):
  return True
  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",
@@ -41,46 +42,140 @@ style_list = [
  },
 
  {
- "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": "HD+",
+ "prompt": "hyper-realistic 2K image of {prompt}. ultra-detailed, lifelike, high-resolution, sharp, vibrant colors, photorealistic",
+ "negative_prompt": "cartoonish, low resolution, blurry, simplistic, abstract, deformed, ugly",
+ },
+ 
+ {
+ "name": "Style Zero",
+ "prompt": "{prompt}",
+ "negative_prompt": "",
+ },
+]
 
+collage_style_list = [
+ {
+ "name": "Hi-Res",
+ "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": "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": "Cinematic",
- "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",
+ "prompt": "cinematic collage of {prompt}. film stills, movie posters, dramatic lighting",
+ "negative_prompt": "static, lifeless, mundane",
  },
-
  {
- "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": "Nostalgic",
+ "prompt": "nostalgic collage of {prompt}. retro imagery, vintage objects, sentimental journey",
+ "negative_prompt": "contemporary, futuristic, forward-looking",
  },
  {
- "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": "Vintage",
+ "prompt": "vintage collage of {prompt}. aged paper, sepia tones, retro imagery, antique vibes",
+ "negative_prompt": "modern, contemporary, futuristic, high-tech",
  },
  {
- "name": "(No style)",
+ "name": "Scrapbook",
+ "prompt": "scrapbook style collage of {prompt}. mixed media, hand-cut elements, textures, paper, stickers, doodles",
+ "negative_prompt": "clean, digital, modern, low quality",
+ },
+ {
+ "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": "Thematic",
+ "prompt": "thematic collage of {prompt}. cohesive theme, well-organized, matching colors, creative layout",
+ "negative_prompt": "random, messy, unorganized, clashing colors",
+ },
+
+ {
+ "name": "No Style",
  "prompt": "{prompt}",
  "negative_prompt": "",
  },
 ]
 
+filters = {
+ "Vivid": {
+ "prompt": "extra vivid {prompt}",
+ "negative_prompt": "washed out, dull"
+ },
+ "Playa": {
+ "prompt": "{prompt} set in a vast playa",
+ "negative_prompt": "forest, mountains"
+ },
+ "Desert": {
+ "prompt": "{prompt} set in a desert landscape",
+ "negative_prompt": "ocean, city"
+ },
+ "West": {
+ "prompt": "{prompt} with a western theme",
+ "negative_prompt": "eastern, modern"
+ },
+ "Blush": {
+ "prompt": "{prompt} with a soft blush color palette",
+ "negative_prompt": "harsh colors, neon"
+ },
+ "Minimalist": {
+ "prompt": "{prompt} with a minimalist design",
+ "negative_prompt": "cluttered, ornate"
+ },
+
+ "Zero filter": {
+ "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}
+filter_styles = {k: (v["prompt"], v["negative_prompt"]) for k, v in filters.items()}
 STYLE_NAMES = list(styles.keys())
-DEFAULT_STYLE_NAME = "2560 x 1440"
+COLLAGE_STYLE_NAMES = list(collage_styles.keys())
+FILTER_NAMES = list(filters.keys())
+DEFAULT_STYLE_NAME = "3840 x 2160"
+DEFAULT_COLLAGE_STYLE_NAME = "Hi-Res"
+DEFAULT_FILTER_NAME = "Vivid"
 
 def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
- p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
+ 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])
+ elif style_name in filter_styles:
+ p, n = filter_styles.get(style_name, filter_styles[DEFAULT_FILTER_NAME])
+ else:
+ p, n = styles[DEFAULT_STYLE_NAME]
+ 
  if not negative:
  negative = ""
  return p.replace("{prompt}", positive), n + negative
 
-
-
  
 
 DESCRIPTION = """## MidJourney
@@ -89,9 +184,6 @@ Drop your best results in the community: [rb.gy/klkbs7](http://rb.gy/klkbs7), Ha
 """
 
 
-
-
-
 if not torch.cuda.is_available():
  DESCRIPTION += "\n<p>⚠️Running on CPU, This may not work on CPU.</p>"
 
@@ -103,40 +195,27 @@ 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(
- "SG161222/RealVisXL_V3.0_Turbo",
+ "SG161222/RealVisXL_V4.0",
  torch_dtype=torch.float16,
  use_safetensors=True,
  add_watermarker=False,
  variant="fp16"
- )
- pipe2 = DiffusionPipeline.from_pretrained(
- "SG161222/RealVisXL_V2.02_Turbo",
- torch_dtype=torch.float16,
- use_safetensors=True,
- add_watermarker=False,
- variant="fp16"
- )
+ ).to(device)
+
  if ENABLE_CPU_OFFLOAD:
  pipe.enable_model_cpu_offload()
- pipe2.enable_model_cpu_offload()
  else:
- pipe.to(device) 
- pipe2.to(device) 
+ pipe.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):
- unique_name = str(uuid.uuid4()) + ".png"
- img.save(unique_name)
- return unique_name
+def save_image(img, path):
+ img.save(path)
 
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
  if randomize_seed:
@@ -149,6 +228,9 @@ def generate(
  negative_prompt: str = "",
  use_negative_prompt: bool = False,
  style: str = DEFAULT_STYLE_NAME,
+ collage_style: str = DEFAULT_COLLAGE_STYLE_NAME,
+ filter_name: str = DEFAULT_FILTER_NAME,
+ grid_size: str = "2x2",
  seed: int = 0,
  width: int = 1024,
  height: int = 1024,
@@ -160,7 +242,13 @@ def generate(
  if check_text(prompt, negative_prompt):
  raise ValueError("Prompt contains restricted words.")
  
- prompt, negative_prompt = apply_style(style, prompt, negative_prompt)
+ if collage_style != "No Style":
+ prompt, negative_prompt = apply_style(collage_style, prompt, negative_prompt)
+ elif filter_name != "No Filter":
+ prompt, negative_prompt = apply_style(filter_name, prompt, negative_prompt)
+ else:
+ prompt, negative_prompt = apply_style(style, prompt, negative_prompt)
+ 
  seed = int(randomize_seed_fn(seed, randomize_seed))
  generator = torch.Generator().manual_seed(seed)
 
@@ -168,33 +256,52 @@ 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,
  "width": width,
  "height": height,
  "guidance_scale": guidance_scale,
- "num_inference_steps": 25,
+ "num_inference_steps": 20,
  "generator": generator,
- "num_images_per_prompt": NUM_IMAGES_PER_PROMPT,
+ "num_images_per_prompt": num_images,
  "use_resolution_binning": use_resolution_binning,
  "output_type": "pil",
  }
  
- images = pipe(**options).images + pipe2(**options).images
+ torch.cuda.empty_cache() # Clear GPU memory
+ images = pipe(**options).images
 
- image_paths = [save_image(img) for img in images]
- return image_paths, seed
+ 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))
+
+ unique_name = str(uuid.uuid4()) + ".png"
+ save_image(grid_img, unique_name)
+ return [unique_name], seed
 
 examples = [
- "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",
+ "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",
+ "3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, 4K resolution highlights, Sharp focus, octane render, ray tracing, Ultra-High-Definition, 8k, UHD, HDR, (Masterpiece:1.5), (best quality:1.5)",
+ "Cold coffee in a cup bokeh --ar 85:128 --v 6.0 --style raw5, 4K, Photo-Realistic",
  "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: 700px !important}
+.gradio-container{max-width: 670px !important}
 h1{text-align:center}
 '''
 with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
@@ -214,23 +321,61 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
  container=False,
  )
  run_button = gr.Button("Run")
- result = gr.Gallery(label="Result", columns=1, preview=True)
+ result = gr.Gallery(label="Grid", columns=1, preview=True)
+
+
+ with gr.Row(visible=True):
+ filter_selection = gr.Radio(
+ show_label=True,
+ container=True,
+ interactive=True,
+ choices=FILTER_NAMES,
+ value=DEFAULT_FILTER_NAME,
+ label="Filter Type",
+ )
+
+ with gr.Row(visible=True):
+ style_selection = gr.Radio(
+ show_label=True,
+ container=True,
+ interactive=True,
+ choices=STYLE_NAMES,
+ value=DEFAULT_STYLE_NAME,
+ label="Quality Style",
+ )
+
+ 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="2x2",
+ label="Grid Size"
+ )
+
  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 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",
+ 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",
  visible=True,
  )
  with gr.Row():
  num_inference_steps = gr.Slider(
  label="Steps",
  minimum=10,
- maximum=60,
+ maximum=30,
  step=1,
- value=30,
+ value=15,
  )
  with gr.Row():
  num_images_per_prompt = gr.Slider(
@@ -249,6 +394,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
  visible=True
  )
  randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
+
  with gr.Row(visible=True):
  width = gr.Slider(
  label="Width",
@@ -264,6 +410,7 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
  step=8,
  value=1024,
  )
+
  with gr.Row():
  guidance_scale = gr.Slider(
  label="Guidance Scale",
@@ -272,20 +419,13 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") 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,
  outputs=[result, seed],
  fn=generate,
+ #cache_examples=True,
  cache_examples=CACHE_EXAMPLES,
  )
 
@@ -308,6 +448,9 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
  negative_prompt,
  use_negative_prompt,
  style_selection,
+ collage_style_selection,
+ filter_selection,
+ grid_size_selection,
  seed,
  width,
  height,
@@ -319,4 +462,4 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
  )
 
 if __name__ == "__main__":
- demo.queue(max_size=20).launch()
+ demo.queue(max_size=20).launch()