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GastinoKuros
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7139c6f
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Parent(s):
ce70ce9
Upload 2 files
Browse files- app.py +182 -0
- requirements.txt +5 -0
app.py
ADDED
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# import gradio as gr
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# import requests
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# import io
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# import os
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# from PIL import Image, ImageEnhance
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# API_URL = "https://api-inference.huggingface.co/models/sd-community/sdxl-flash"
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# API_KEY = os.getenv("HF_API_KEY")
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# headers = {"Authorization": f"Bearer {API_KEY}"} # Corrected to use f-string
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# def query(payload):
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# response = requests.post(API_URL, headers=headers, json=payload)
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# if response.status_code != 200:
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# return None
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# return response.content
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# def gen_img(prompt, num_inference_steps, guidance_scale, contrast):
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# payload = {
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# "inputs": prompt,
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# "parameters": {
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# "num_inference_steps": num_inference_steps,
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# "guidance_scale": guidance_scale
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# }
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# }
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# image_bytes = query(payload)
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# if image_bytes is None:
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# return None
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# image = Image.open(io.BytesIO(image_bytes))
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# enhancer = ImageEnhance.Contrast(image)
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# image = enhancer.enhance(contrast)
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# return image
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# with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.lime, spacing_size="md", radius_size="lg",
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# font=[gr.themes.GoogleFont("Copperplate"), "Fantasy", "sans-serif"])) as demo:
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# gr.Markdown("""
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# <div style='text-align: center;
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# font-size: 36px;
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# font-family: Copperplate, Fantasy;
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# color: orange;
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# /* background-color: green;
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# padding: 5px;
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# border-radius: 30px; */ '>
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# Pencil Vision (a holofote product)
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# </div>
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# """)
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# with gr.Row():
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# prompt = gr.Textbox(label="Enter your prompt to generate the image")
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# with gr.Row():
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# num_inference_steps = gr.Slider(minimum=1, maximum=15, value=6, step=3, label="Number of Inference Steps")
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# guidance_scale = gr.Slider(minimum=1.0, maximum=5.0, value=2.5, step=1, label="Guidance Scale")
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# contrast_scale = gr.Slider(minimum=1.0, maximum=3.0, value=1.0, step=0.1, label="Contrast Scale")
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# with gr.Row():
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# generate_button = gr.Button("Generate Image")
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# output_image = gr.Image(label="Generated Image")
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# error_message = gr.Markdown(visible=False)
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# def handle_click(prompt, num_inference_steps, guidance_scale, contrast_scale):
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# image = gen_img(prompt, num_inference_steps, guidance_scale, contrast_scale)
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# if image is None:
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# return None, gr.update(visible=True, value="Error generating image. Please try again.")
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# return image, gr.update(visible=False)
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# generate_button.click(handle_click, inputs=[prompt, num_inference_steps, guidance_scale, contrast_scale], outputs=[output_image, error_message])
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# demo.launch(share=True)
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#------------------------------------------------------------------------------------------------------------------------------------------------------------
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import gradio as gr
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import requests
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import io
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import os
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import logging
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from PIL import Image, ImageEnhance
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from gradio_client import Client
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# API URLs and headers
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API_URL_1 = "https://api-inference.huggingface.co/models/sd-community/sdxl-flash"
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API_KEY = os.getenv("HF_API_KEY")
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headers = {"Authorization": f"Bearer {API_KEY}"}
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client = Client("AP123/SDXL-Lightning")
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def query(api_url, payload):
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try:
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response = requests.post(api_url, headers=headers, json=payload)
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response.raise_for_status()
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return response.content
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except requests.exceptions.HTTPError as http_err:
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logging.error(f"HTTP error occurred: {http_err}")
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print(f"HTTP error occurred: {http_err}")
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except Exception as err:
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logging.error(f"An error occurred: {err}")
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print(f"An error occurred: {err}")
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return None
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def map_inference_steps(steps):
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if steps <= 1:
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return "1-Step"
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elif steps <= 2:
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return "2-Step"
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elif steps <= 4:
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return "4-Step"
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else:
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return "8-Step"
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def gen_img(prompt, num_inference_steps, guidance_scale, contrast):
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payload = {
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"inputs": prompt,
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"parameters": {
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"num_inference_steps": num_inference_steps,
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"guidance_scale": guidance_scale
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}
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}
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# Try generating image with the first model
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image_bytes = query(API_URL_1, payload)
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if image_bytes is None:
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# print("First model failed, trying second model...")
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try:
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mapped_steps = map_inference_steps(num_inference_steps)
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result = client.predict(prompt, mapped_steps, api_name="/generate_image")
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with open(result, "rb") as img_file:
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image = Image.open(img_file)
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enhancer = ImageEnhance.Contrast(image)
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image = enhancer.enhance(contrast)
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return image, "Image generated by the second model"
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except Exception as e:
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# logging.error(f"Error with the second model: {e}")
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# print(f"Error with the second model: {e}")
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return None, "Error with the second model"
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try:
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image = Image.open(io.BytesIO(image_bytes))
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enhancer = ImageEnhance.Contrast(image)
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image = enhancer.enhance(contrast)
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return image, "Image generated by the first model"
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except Exception as e:
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# logging.error(f"Error processing image: {e}")
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return None, "Error processing image"
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with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.lime, spacing_size="md", radius_size="lg",
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font=[gr.themes.GoogleFont("Copperplate"), "Fantasy", "sans-serif"])) as demo:
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gr.Markdown("""
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<div style='text-align: center;
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font-size: 36px;
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font-family: Copperplate, Fantasy;
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color: orange;'>
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Pencil Vision (early beta 1.3)
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</div>
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""")
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with gr.Row():
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prompt = gr.Textbox(label="Enter your prompt to generate the image", placeholder="A fantasy landscape with mountains and a river")
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with gr.Row():
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num_inference_steps = gr.Slider(minimum=1, maximum=15, value=6, step=1, label="Number of Inference Steps")
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guidance_scale = gr.Slider(minimum=1.0, maximum=5.0, value=2.5, step=0.1, label="Guidance Scale")
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contrast_scale = gr.Slider(minimum=1.0, maximum=3.0, value=1.0, step=0.1, label="Contrast Scale")
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with gr.Row():
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generate_button = gr.Button("Generate Image")
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output_image = gr.Image(label="Generated Image")
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# model_info = gr.Textbox(label="Model Info", interactive=False)
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error_message = gr.Markdown(visible=False)
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def handle_click(prompt, num_inference_steps, guidance_scale, contrast_scale):
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image, info = gen_img(prompt, num_inference_steps, guidance_scale, contrast_scale)
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if image is None:
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return None, info, gr.update(visible=True, value="Error generating image. Please try again.")
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return image, info, gr.update(visible=True)
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generate_button.click(handle_click, inputs=[prompt, num_inference_steps, guidance_scale, contrast_scale], outputs=[output_image, error_message])
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demo.launch(share=True)
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requirements.txt
ADDED
@@ -0,0 +1,5 @@
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1 |
+
gradio
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2 |
+
requests
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3 |
+
Pillow
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transformers
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5 |
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huggingface_hub
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