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Update app.py
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app.py
CHANGED
@@ -45,6 +45,29 @@ def enhance_prompt(prompt, model="mistralai/Mistral-7B-Instruct-v0.1", style="ph
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return result
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"""
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def mistral_nemo_call(prompt, API_TOKEN, model="mistralai/Mistral-Nemo-Instruct-2407", style="photo-realistic"):
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client = InferenceClient(api_key=API_TOKEN)
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@@ -94,7 +117,7 @@ def query(prompt, is_negative=False, steps=30, cfg_scale=7, sampler="DPM++ 2M Ka
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original_prompt = prompt
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if enhance_prompt_option:
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prompt =
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print(f'\033[1mGeneration {key} enhanced prompt:\033[0m {prompt}')
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if use_mistral_nemo:
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prompt = mistral_nemo_call(prompt,API_TOKEN=API_TOKEN,style="cartoon")
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return result
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"""
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def enhance_prompt_v2(prompt, model="mistralai/Mistral-Nemo-Instruct-2407", style="photo-realistic"):
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client = Client("K00B404/Mistral-Nemo-custom")
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system_prompt=f"""
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You are a image generation prompt enhancer specialized in the {style} style.
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You must respond only with the enhanced version of the users input prompt
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Remember, image generation models can be stimulated by refering to camera 'effect' in the prompt like :4k ,award winning, super details, 35mm lens, hd
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"""
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user_message=f"###input image generation prompt### {prompt}"
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result = client.predict(
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system_prompt=system_prompt,
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user_message=user_message,
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max_tokens=256,
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model_id=model,
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api_name="/predict"
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)
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return result
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def mistral_nemo_call(prompt, API_TOKEN, model="mistralai/Mistral-Nemo-Instruct-2407", style="photo-realistic"):
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client = InferenceClient(api_key=API_TOKEN)
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original_prompt = prompt
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if enhance_prompt_option:
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prompt = enhance_prompt_v2(prompt, style="microscopic")
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print(f'\033[1mGeneration {key} enhanced prompt:\033[0m {prompt}')
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if use_mistral_nemo:
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prompt = mistral_nemo_call(prompt,API_TOKEN=API_TOKEN,style="cartoon")
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