Update app.py
Browse files
app.py
CHANGED
@@ -5,17 +5,19 @@ import random
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import os
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import time
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from PIL import Image
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from deep_translator import GoogleTranslator
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import json
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# Project by Nymbo
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API_TOKEN = os.getenv("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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timeout = 100
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def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7):
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if prompt == "" or prompt == None:
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return None
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@@ -29,12 +31,13 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
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"is_negative": is_negative,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed
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"strength": strength
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}
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response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
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if response.status_code
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print(f"Error: Failed to get image. Response status: {response.status_code}")
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print(f"Response content: {response.text}")
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if response.status_code == 503:
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@@ -59,7 +62,7 @@ css = """
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"""
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with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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gr.HTML("<center><h1>Stable Diffusion
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with gr.Column(elem_id="app-container"):
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with gr.Row():
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with gr.Column(elem_id="prompt-container"):
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@@ -73,12 +76,11 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
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strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
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with gr.Row():
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text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
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with gr.Row():
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image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
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text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed,
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app.launch(show_api=False, share=False)
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import os
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import time
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from PIL import Image
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import json
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# Project by Nymbo
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API_URLS = {
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"SDXL 1.0": "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0",
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"SD 3.5": "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-3.5-large"
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}
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API_TOKEN = os.getenv("HF_READ_TOKEN")
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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timeout = 100
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def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Karras", seed=-1, strength=0.7, model="SDXL 1.0"):
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if prompt == "" or prompt == None:
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return None
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"is_negative": is_negative,
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"steps": steps,
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"cfg_scale": cfg_scale,
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"seed": seed if seed!= -1 else random.randint(1, 1000000000),
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"strength": strength
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}
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API_URL = API_URLS[model]
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response = requests.post(API_URL, headers=headers, json=payload, timeout=timeout)
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if response.status_code!= 200:
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print(f"Error: Failed to get image. Response status: {response.status_code}")
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print(f"Response content: {response.text}")
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if response.status_code == 503:
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"""
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with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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gr.HTML("<center><h1>Stable Diffusion</h1></center>")
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with gr.Column(elem_id="app-container"):
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with gr.Row():
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with gr.Column(elem_id="prompt-container"):
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method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
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strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1)
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model = gr.Radio(label="Model", value="SDXL 1.0", choices=["SDXL 1.0", "SD 3.5"])
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with gr.Row():
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text_button = gr.Button("Run", variant='primary', elem_id="gen-button")
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with gr.Row():
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image_output = gr.Image(type="pil", label="Image Output", elem_id="gallery")
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text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed,
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