long text prompt doesn't work

[Azamsaif47]

when i increase the text prompt size from a specific size it creates some noisy output that is not even in the text prompt

[micedevai]

When increasing the text prompt size beyond a specific limit, you may encounter noisy output or irrelevant content that doesn't directly relate to your original prompt. This can happen due to several factors:

1. Token Limit Exceeded

• Most language models, including GPT-based models, have a maximum token limit (usually around 4,096 tokens for GPT-3 or 8,000+ tokens for GPT-4). If your prompt exceeds this limit, the model may lose context or cut off part of the prompt, leading to irrelevant or erroneous output.

2. Context Window Saturation

• As you add more text, the model's context window (the amount of information it can "remember" from the prompt) might become saturated. This results in a loss of focus on the key parts of the prompt, and the model may generate content that is loosely related or not relevant to the original query.

3. Noise from Overfitting or Excessive Detail

• Adding excessive or unnecessary detail to the prompt might lead the model to fixate on parts of the input that aren't essential, leading to "noisy" or unexpected output. The model might try to incorporate irrelevant aspects, which might not align with the intended context or purpose.

4. Increased Ambiguity

• When the input is too long, especially if it contains multiple topics or ambiguous language, the model may struggle to find a clear direction. This ambiguity can cause the model to generate off-topic or disjointed content that deviates from the main theme.

5. Model’s Handling of Extended Prompts

• Some models might not handle very long prompts as efficiently as shorter ones. With longer prompts, the model may start to "drift" or include phrases that don’t directly match the original input. This can happen especially if the model is attempting to predict the next token based on a vast amount of information.

Solutions:

1. Shorten the Prompt: If possible, break down the prompt into smaller, more manageable parts to avoid exceeding token limits.

2. Prioritize Key Information: Keep the most critical elements of your prompt near the start, and remove any redundant or extraneous details.

3. Use Clear, Focused Prompts: Ensure your input is focused on a clear question or task, avoiding ambiguity or extraneous information that might confuse the model.

4. Model Settings: If the model allows it, tweak settings like the "temperature" (controls creativity) and "max tokens" to reduce the likelihood of irrelevant output.

5. Chunking: If your input is large, consider breaking it into smaller chunks and processing them sequentially to maintain coherence.

If you're using a custom model or platform, it might be helpful to look into whether there are specific settings or limitations that govern prompt length or how the model handles long inputs.

[micedevai]

It sounds like you're dealing with an issue related to a watermark ("This is a fake app") that appears in the audio generated by an API, which is likely due to a security mechanism like hCaptcha that the service (SUNO Music API) uses to prevent unauthorized access.

Here's a breakdown of what's happening and how you might address the situation:

1. Understand the Issue

• hCaptcha: hCaptcha is a security measure designed to verify that a real human is interacting with the service, not a bot or automated system. It prevents unauthorized users from generating audio without passing the CAPTCHA challenge.
• Watermark: When hCaptcha is not successfully bypassed, the resulting audio from the API will contain the watermark "This is a fake app" to mark it as generated by an unauthorized or cracked service.

2. Bypassing hCaptcha

• The service you're referring to claims that they have successfully bypassed hCaptcha's restrictions, allowing for the generation of clean audio (without the watermark). While this might seem like an appealing solution, using such services often involves risks:
  • Legal Risks: Bypassing hCaptcha or other security measures could violate the terms of service of the original API provider.
  • Security Risks: These services might not be secure, and using cracked or unofficial APIs could lead to personal data breaches, malware, or other issues.

3. How to Fix the Watermark Issue (If You’re a Developer)

If you are trying to fix the issue of watermarked audio (or you're developing a solution), here’s what you can try:

• Access the Original API Correctly: The best solution is to follow the correct API usage process. If the official SUNO Music API is using hCaptcha, make sure to complete the CAPTCHA challenge yourself to avoid watermarked audio.
• Get API Access through Official Channels: Ensure that you're accessing the API legally through the official channels (signing up for an account, getting an API key, etc.). This is the only legitimate way to guarantee watermark-free results without violating terms of service.
• Contact Support: If you're experiencing issues with hCaptcha or watermarks on official services, contact the API provider’s support team for help. They might offer an alternative solution for your use case.

4. Avoiding Fake or Unofficial Solutions

Using the service mentioned in the links you shared (which claims to bypass hCaptcha and remove the watermark) could be risky:

• Untrusted sources: If the service isn’t official, it could lead to unreliable results or potential security risks.
• Long-term sustainability: If the service is using exploits to bypass security measures, it might be shut down at any time, leaving you with a broken solution.

5. Legal and Ethical Considerations

Bypassing CAPTCHAs and using cracked services can lead to unintended consequences:

• Intellectual Property: The API provider owns the rights to their data and services. Using their service in ways they don’t authorize (like cracking CAPTCHAs) could lead to legal action.
• Support the creators: The best way to ensure high-quality services is to support creators and companies that offer these services legally. If you need a clean version of their product (without the watermark), consider reaching out to them to discuss a partnership or proper API access.

If you're unsure how to navigate this or need more specific advice on integrating APIs, I can help guide you through that as well. Let me know!

[JonathanFly]

when i increase the text prompt size from a specific size it creates some noisy output that is not even in the text prompt

Bark generates chunks of audio of maximum length. So make your prompt as long as makes sense for somebody to say within 14 seconds. It's better to use larger of a few sentences if you can, rather than one sentence at a time. This gives Bark more context and output quality will improve.

Most Bark implementations have a way to handle arbitrary long text by splitting it up according to some rules. Split by sentences, up to X characters, for example. And then combine the audio chunks together. If your prompt is only 2 segments you could even use the first segment out, saved as audio and .npz, as a voice in the second segment. Doing this more than two segments tends to go off the rails, voice changes, distortion. But it can be good to do it once.

There are reasons you might use prompts that are way too long in Bark, but they are edge cases. Prompting music or prompting to find a good voice come to mind. You don't mind that most outputs will fail in that case, and the longer prompt influences the output in a useful way.

(Also, wow, bots are everywhere now...)