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Running
on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -13,6 +13,20 @@ 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(lora_id, prompt, is_negative=False, steps=28, cfg_scale=3.5, 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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@@ -27,11 +41,11 @@ def query(lora_id, prompt, is_negative=False, steps=28, cfg_scale=3.5, sampler="
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API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
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print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
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prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
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print(f'\033[1mGeneration {key}:\033[0m {prompt}')
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# If seed is -1, generate a random seed and use it
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if seed == -1:
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@@ -105,6 +119,8 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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examples = examples,
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inputs = [text_prompt],
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)
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text_button.click(query, inputs=[custom_lora, text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=[image_output,seed_output])
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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timeout = 100
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article_text = """
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<div style="text-align: center;">
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<p>Enjoying the tool? Buy me a coffee and get exclusive prompt guides!</p>
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<p><i>Instantly unlock helpful tips for creating better prompts!</i></p>
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<div style="display: flex; justify-content: center;">
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<a href="https://piczify.lemonsqueezy.com/buy/0f5206fa-68e8-42f6-9ca8-4f80c587c83e">
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<img src="https://www.buymeacoffee.com/assets/img/custom_images/yellow_img.png"
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alt="Buy Me a Coffee"
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style="height: 40px; width: auto; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2); border-radius: 10px;">
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</a>
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</div>
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</div>
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"""
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def query(lora_id, prompt, is_negative=False, steps=28, cfg_scale=3.5, 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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API_TOKEN = random.choice([os.getenv("HF_READ_TOKEN")])
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headers = {"Authorization": f"Bearer {API_TOKEN}"}
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# prompt = GoogleTranslator(source='ru', target='en').translate(prompt)
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# print(f'\033[1mGeneration {key} translation:\033[0m {prompt}')
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prompt = f"{prompt} | ultra detail, ultra elaboration, ultra quality, perfect."
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# print(f'\033[1mGeneration {key}:\033[0m {prompt}')
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# If seed is -1, generate a random seed and use it
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if seed == -1:
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examples = examples,
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inputs = [text_prompt],
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)
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gr.Markdown(article_text)
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text_button.click(query, inputs=[custom_lora, text_prompt, negative_prompt, steps, cfg, method, seed, strength], outputs=[image_output,seed_output])
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