olivv-cs-ComfyUI-FunPack/docs/FunPackVideoRefinerV2.md

FunPack Video Refiner V2

Video Refiner V2 is a simplified prompt-owned refiner. It takes prompt text and a connected CLIP, encodes the prompt inside the node, learns from ratings, and returns refined positive conditioning.

V2 replaces the old FunPack Video Refiner public node in version 2.2.0. It uses separate fresh state and does not migrate old histories.

Inputs

positive_prompt: Prompt text to encode and refine.

clip: Connected text encoder. V2 uses this CLIP for prompt encoding and phrase/category similarity checks. It does not load an external tokenizer.

rating: Feedback for the previous V2 generation:

• Perfect
• Missing details
• Missing action
• Missing quality
• Missing details + action
• Missing details + quality
• Missing action + quality
• Awful
• -Just forget it-

Older Missing concept labels are accepted as aliases for Missing action.

refinement_key: V2 session key. V2 stores separate refine_v2 state under this key.

seed: Optional seed for deterministic exploration paths.

reset_session: Clears the V2 session state for the selected key.

lora_stack: Optional stack from FunPack Apply LoRA Weights / FunPack LoRA Loader. V2 writes prompt-specific suggested model weights.

im_feeling_lucky: When enabled, V2 composes a learned prompt from rated phrase memory and encodes it through the connected CLIP. When disabled, V2 may still store Lucky memory from rated runs, but it does not compose or apply a Lucky prompt.

Outputs

modified_positive: Refined positive conditioning.

status: Short runtime summary.

training_info: Diagnostics including encoded prompt, category classification, automatic adaptation strength, Lucky memory status, and LoRA suggestions.

loss_graph: V2 learning loss graph.

Removed From V2

V2 does not include sigma refinement, latent refinement, manual scheduler modes, or feedback questions.

Scheduler behavior is automatic: good streaks make V2 gentler, bad streaks make it push harder away from bad directions.

LoRA Type Rename

V2 uses action instead of concept for motion/action LoRA intent. Old concept LoRA rows are treated as action aliases.