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Update app.py
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app.py
CHANGED
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@@ -3,7 +3,7 @@ import torch
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import random
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import time
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from diffusers import DiffusionPipeline, LCMScheduler
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from PIL import Image,
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# -------------------------------
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# MODEL SETUP (CPU SAFE)
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@@ -50,24 +50,6 @@ def estimate_time(steps, resolution):
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seconds = est % 60
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return f"⏱️ Estimated time: ~{int(minutes)}m {int(seconds)}s"
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# -------------------------------
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# GENERATING PLACEHOLDER IMAGE
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# -------------------------------
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def generating_placeholder(resolution):
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resolution = int(resolution)
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img = Image.new("RGB", (resolution, resolution), (30, 30, 30)) # dark background
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draw = ImageDraw.Draw(img)
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text = "Generating..."
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try:
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font = ImageFont.truetype("arial.ttf", resolution // 12)
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except:
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font = ImageFont.load_default()
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text_width, text_height = draw.textsize(text, font=font)
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x = (resolution - text_width) / 2
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y = (resolution - text_height) / 2
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draw.text((x, y), text, fill=(255, 255, 255), font=font)
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return img
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# -------------------------------
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# IMAGE GENERATION WITH PROGRESSIVE BLUR
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# -------------------------------
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@@ -78,9 +60,10 @@ def generate(prompt, resolution, steps):
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# 1️⃣ Refine prompt
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refined_prompt, neg_prompt = refine_prompt(prompt)
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# 2️⃣
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placeholder =
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# 3️⃣ CPU Image generation
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seed = random.randint(0, 10**9)
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@@ -103,11 +86,13 @@ def generate(prompt, resolution, steps):
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for i in range(steps_blur):
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blur_percent = 100 - i*10
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blurred_img = img.filter(ImageFilter.GaussianBlur(radius=max_blur * blur_percent / 100))
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yield [blurred_img]
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# 5️⃣
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# -------------------------------
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# GRADIO UI
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@@ -126,6 +111,8 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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eta = gr.Markdown("⏱️ Estimated time: ~1m 0s")
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gen_btn = gr.Button("Generate")
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with gr.Column():
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gallery = gr.Gallery(columns=1)
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@@ -137,7 +124,7 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gen_btn.click(
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generate,
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inputs=[prompt_in, resolution, steps],
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outputs=[gallery]
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)
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demo.launch()
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import random
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import time
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from diffusers import DiffusionPipeline, LCMScheduler
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from PIL import Image, ImageFilter
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# -------------------------------
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# MODEL SETUP (CPU SAFE)
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seconds = est % 60
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return f"⏱️ Estimated time: ~{int(minutes)}m {int(seconds)}s"
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# -------------------------------
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# IMAGE GENERATION WITH PROGRESSIVE BLUR
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# -------------------------------
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# 1️⃣ Refine prompt
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refined_prompt, neg_prompt = refine_prompt(prompt)
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# 2️⃣ White placeholder image
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placeholder = Image.new("RGB", (resolution, resolution), (255, 255, 255))
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start_time = time.time()
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yield [placeholder], "🟡 Generating..."
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# 3️⃣ CPU Image generation
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seed = random.randint(0, 10**9)
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for i in range(steps_blur):
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blur_percent = 100 - i*10
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blurred_img = img.filter(ImageFilter.GaussianBlur(radius=max_blur * blur_percent / 100))
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yield [blurred_img], "🟢 Generating..."
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time.sleep(1)
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# 5️⃣ Final image with total time
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total_time = round(time.time() - start_time, 2)
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yield [img], f"✅ Done in {total_time}s"
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# -------------------------------
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# GRADIO UI
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eta = gr.Markdown("⏱️ Estimated time: ~1m 0s")
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gen_btn = gr.Button("Generate")
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status = gr.Markdown("🟢 Ready")
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with gr.Column():
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gallery = gr.Gallery(columns=1)
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gen_btn.click(
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generate,
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inputs=[prompt_in, resolution, steps],
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outputs=[gallery, status]
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)
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demo.launch()
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