1. Prompting (Crucial) Forget your linear prompting habits. This model reacts to temporality and scenography. The use of precise Positive Prompts and strict Negative Prompts is mandatory to channel its power. Supported and Recommended Structures: Temporal Format (Most Precise): (at 0-2: description of the beginning) (at 2-4: description of the action) Scenic Format: [Scene: detailed description of the atmosphere and action] Hybrid Format: **[Scene: close-up on face (at 0-5)] Natural Description (Supported but less directive): A cinematic video of... Interference Triggers (To Avoid): As the model is based on a sensitive MoE architecture, avoid contradictory keywords within the same time segment (e.g., asking for "static" and "running" without separating the timecodes). Avoid endless "danbooru" tag lists without syntax; prefer structured natural language. 2. Required Technical Parameters To exploit the full potential of the V4 training, please adhere to these settings: Text Encoder: umt5_xxl_fp16.safetensors (Mandatory for semantic understanding). Sampling: Usage of 3 chained KSamplers is recommended (Advanced Workflow) to decompose noise, structure, and detail. CFG Settings (Guidance): The model is highly obedient. Do not force the CFG. Recommended: 2.5 / 1 / 1 (Depending on your sampling workflow). Steps (Compute Steps): "Flux-like" Mode (Fast): 4 to 6 Steps (if using adapted schedulers like Turbo/Lightning). Classic Mode (Max Quality): 20 Steps.