perchancy 0.1.2

G4F-like OpenAI compatible wrapper for Perchance AI generators

Perchancy 🚀

Perchancy is a high-speed, thread-safe, OpenAI-compatible Python wrapper for Perchance AI generators. Generate text and images programmatically with absolute zero manual browser management, bypassing anti-bot protections automatically.

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✨ Key Features

• ⚡ Blazing Fast Extraction: Deep iframe search & Regex-based DOM scanning for instant text and image extraction without timeouts.
• 🧵 Thread-Safe Concurrency: Run multiple generators safely. Features a built-in queue system via max_concurrent_tabs to prevent browser crashes.
• 🖼️ On-the-Fly Image Conversion: Automatically converts base64 blobs into desired formats (png, jpeg, webp) directly inside the browser engine.
• 🛡️ Built-in Anti-Bot Bypass: Uses a pristine automated stealth environment. Defeats Cloudflare and invisible pop-ups automatically.
• 🌍 Auto-Translation: Built-in Google Translate support for prompt/response.
• 🌐 Integrated VPN Support: Pass VLESS links and the library sets up Xray-core automatically.

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📦 Installation

To automatically install all dependencies required for the engine, run the included script:

python install.py

Alternatively, install manually via pip:

pip install DrissionPage requests

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🚀 Quick Start

Text Generation (Synchronous)

import perchancy

client = perchancy.Client(headless=True)

response = client.chat.completions.create(
    model="ai-text-generator",
    messages=[{"role": "user", "content": "Write a 3-sentence horror story."}],
    stream=False,
    translation="auto"
)

content = response["choices"][0]["message"]["content"]
print(content)

Text Generation (Streaming)

import perchancy
import sys

client = perchancy.Client(headless=True)

response = client.chat.completions.create(
    model="ai-character-chat",
    messages=[{"role": "user", "content": "Tell me a short sci-fi intro."}],
    stream=True
)

for chunk in response:
    content = chunk["choices"][0]["delta"].get("content", "")
    sys.stdout.write(content)
    sys.stdout.flush()

Image Generation

import perchancy
import base64
import threading

client = perchancy.Client(headless=True, max_concurrent_tabs=4)

def run_image_task(thread_id, fmt):
    response = client.images.generate(
        model="ai-text-to-image-generator",
        prompt="cyberpunk city, neon lights",
        num_images=1,
        image_format=fmt,
        disable_safety_settings=True
    )

    for i, img in enumerate(response.get("data",[])):
        file_name = f"out_t{thread_id}_{i}.{fmt}"
        with open(file_name, "wb") as f:
            f.write(base64.b64decode(img["url"]))

t1 = threading.Thread(target=run_image_task, args=(1, "png"))
t2 = threading.Thread(target=run_image_task, args=(2, "jpeg"))

t1.start()
t2.start()

t1.join()
t2.join()

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📚 API Documentation

Client Configuration

perchancy.Client(**kwargs) initializes the main browser engine.

Parameter	Type	Default	Description
headless	bool	True	Runs the browser in the background without a UI.
debug	bool	False	Prints detailed execution status logs to the console.
max_concurrent_tabs	int	4	Maximum number of active tabs allowed at the same time. Extra threads will wait in a queue.
vpn_configs	List[str]	None	A list of VLESS/Proxy URIs for connection rotation.

Chat Completions

client.chat.completions.create(**kwargs)

Parameter	Type	Default	Description
model	str	Required	The URL slug of the Perchance generator (e.g., ai-character-chat).
messages	List[Dict]	Required	Standard OpenAI messages array. Uses the content of the last message as the prompt.
stream	bool	False	Returns a generator yielding text chunks as they are generated.
translation	str	None	Translates the final output. Set to "auto" to translate back to the prompt's detected language.

Image Generation Parameters

client.images.generate(**kwargs)

Parameter	Type	Default	Description
model	str	Required	The URL slug of the generator.
prompt	str	Required	The text description for the image generation.
num_images	int	1	Number of images to generate in the current task.
image_format	str	"png"	Target output format (png, jpeg, webp). Conversions happen automatically.
time_for_image	int	90	Maximum wait time per image in seconds. Calculates time * num_images. Set to 0 for infinite.
disable_safety_settings	bool	False	Attempts to bypass strict NSFW filters. Returns an error if blocked when False.

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🛠 Advanced Features

Custom Parameters & Selectors

Perchance generators often have sliders or dropdowns (like seed, guidanceScale). You can control these using extra_params and param_mappings directly in the create or generate methods.

If the generator layout is non-standard, you can override the default CSS selectors via input_selectors, button_selectors, and output_selectors.

client.images.generate(
    model="ai-text-to-image-generator",
    prompt="A magical forest",
    extra_params={
        "guidanceScale": "7.5",
        "negativePrompt": "low quality, blurry"
    },
    param_mappings={
        "quality":["#resolution-dropdown-id", "[data-name='qualitySelect']"]
    },
    quality="high"
)

VPN & VLESS Proxy Rotation (EXPERIMENTAL)

⚠️ WARNING: The VPN and proxy rotation feature has only been superficially tested. You may encounter unexpected bugs, routing issues, or failures when using proxy lists. Use with caution.

You can pass a list of VLESS links or proxy configurations to the Client. The library will automatically rotate them on a per-request basis. If it's the first time running a VLESS proxy, it will prompt you to download Xray-core locally to handle the protocol.

Pass "disabled" inside the list to occasionally route traffic without a proxy.

import perchancy

vpn_list =[
    "disabled",
    "vless://uuid@server:port?type=ws&security=tls#Proxy1",
    "vless://uuid@server:port?type=tcp&security=reality#Proxy2"
]

client = perchancy.Client(vpn_configs=vpn_list)

client.images.generate(
    model="ai-text-to-image-generator",
    prompt="Testing VPN connection"
)

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⚠️ Disclaimer

Unofficial wrapper. Use for educational purposes only. The author is not responsible for any misuse, account bans, or IP blocks.

📝 License

MIT License.