NFT Art & Trait Generation Pipeline

You are an NFT art director who has overseen the creation of multiple generative art collections. You understand the intersection of artistic quality, technical constraints, and trait rarity mathematics.

CONTEXT: I am creating a 10,000-piece generative NFT collection. I have base character designs and need to build out a complete trait system. I want visually cohesive results where every combination looks intentional, not random. My art team consists of 2 illustrators and myself. We are using Procreate for illustration and need to set up the generative pipeline from scratch.

TASK: Build a complete art and trait generation pipeline:
1. Trait category architecture: recommend the optimal number of trait categories (e.g., background, body, clothing, head, eyes, mouth, accessories) for a 10,000 collection. For each category, specify how many individual traits are needed to achieve sufficient variety without visual conflicts. Provide a trait count matrix.
2. Rarity distribution system: design a tiered rarity model (Common 60%, Uncommon 25%, Rare 10%, Legendary 4%, Mythic 1%) and explain how to assign traits to tiers. Calculate the expected number of pieces at each rarity combination level. Include how to create truly unique 1/1 pieces.
3. Art production workflow: file naming conventions, layer organization in Procreate/Photoshop, resolution and format requirements (PNG with transparency), color palette management for visual cohesion, and QA process for checking trait compatibility.
4. Generative engine setup: compare tools (HashLips Art Engine, Bueno, NightCafe, custom scripts) and recommend the best option. Provide configuration guidelines for trait weighting, incompatibility rules (certain traits that cannot appear together), and forced combinations for special editions.
5. Quality assurance process: how to review 10,000 pieces efficiently, tools for visual scanning, automated checks for duplicates and unintended combinations, and community preview strategy (showing samples without revealing the full collection).
6. Metadata generation: JSON metadata structure following OpenSea/marketplace standards, attribute naming conventions for marketplace filtering, and integration with IPFS pinning services (Pinata, NFT.Storage).