Create app.py
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app.py
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import gradio as gr
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import requests
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import os
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from PIL import Image
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from io import BytesIO
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from tqdm import tqdm
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import time
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# Defining the repository information and the trigger word
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repo = "artificialguybr/ps1redmond-ps1-game-graphics-lora-for-sdxl"
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trigger_word = "Playstation 1 Graphics, PS1 Game"
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def generate_image(prompt):
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print("Generating image with prompt:", prompt)
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api_url = f"https://api-inference.huggingface.co/models/{repo}"
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#token = os.getenv("API_TOKEN") # Uncomment and use your Hugging Face API token
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headers = {
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#"Authorization": f"Bearer {token}"
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}
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full_prompt = f"{prompt} {trigger_word}"
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payload = {
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"inputs": full_prompt,
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"parameters": {
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"negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
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"num_inference_steps": 30,
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"scheduler": "DPMSolverMultistepScheduler"
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},
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}
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error_count = 0
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pbar = tqdm(total=None, desc="Loading model")
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while True:
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print("Sending request to API...")
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response = requests.post(api_url, headers=headers, json=payload)
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print("API response status code:", response.status_code)
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if response.status_code == 200:
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print("Image generation successful!")
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return Image.open(BytesIO(response.content)) # Changed to match the first code
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elif response.status_code == 503:
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time.sleep(1)
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pbar.update(1)
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elif response.status_code == 500 and error_count < 5:
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time.sleep(1)
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error_count += 1
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else:
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print("API Error:", response.status_code)
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raise Exception(f"API Error: {response.status_code}")
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iface = gr.Interface(
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fn=generate_image,
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inputs=gr.Textbox(lines=2, placeholder="Type your prompt here..."),
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outputs="image",
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title="PS1 Style XL Image Generator",
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description="Powered by the generous GPU time from Redmond.AI, this LORA, fine-tuned on SD XL 1.0, excels at creating PS1 STYLE -themed images across a wide range of subjects. Optimized for 1024x1024 resolution, it incorporates the specific tag 'Playstation 1 Graphics, PS1 Game' directly in the HF Space for ease of use. If you appreciate this model and wish to support, consider a donation via [Patreon](https://www.patreon.com/user?u=81570187) or [Ko-fi](https://ko-fi.com/artificialguybr). Stay updated on new models by following on [Twitter](https://twitter.com/artificialguybr).",
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examples=[["Panda"], ["A cube"]]
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)
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print("Launching Gradio interface...")
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iface.launch()
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