Editorial & Verification Policy

PromptImageLab is committed to delivering technically accurate, actionable, and mathematically grounded guides. This policy details our research standards, testing workflows, and revision procedures.

1. Source Standards

Our technical documentation is derived from authoritative primary sources:

• Peer-reviewed research papers (e.g. Robin Rombach et al. on High-Resolution Image Synthesis with Latent Diffusion Models; Jonathan Ho et al. on Classifier-Free Diffusion Guidance).
• Official technical reports and model architecture disclosures from research organizations (Stability AI, Black Forest Labs, OpenAI, Google DeepMind).
• Open-source codebases with public commit histories (ComfyUI, Automatic1111, Diffusers by Hugging Face).

2. Empirical Testing Requirements

Before publishing a claim regarding token limits, weight syntax multipliers, or aspect ratio bucket behavior:

1. The syntax is executed against the target software framework or pipeline.
2. Latent dimension calculations are verified against VAE stride and downsampling coefficients ($8 \times 8$).
3. Token chunk boundaries are validated against actual BPE tokenizer output.

3. Corrections and Updates

Generative software moves rapidly. When an update changes syntax (for example, parameter modifications in Midjourney versions or new conditioning pipelines in Flux), our guides are updated with revision notes.

If you discover an inaccuracy or outdated code snippet in our documentation, please submit a correction notice via our Contact Page. We review and verify all technical feedback.