According to the source, a post on X states that China’s Z-Image has overtaken Flux as the top AI art model. source: X post dated Dec 2, 2025 The same post claims Z-Image can run on low-end consumer PCs. source: X post dated Dec 2, 2025 The post provides no benchmarks, release artifacts, or licensing details, so performance and availability cannot be verified from the post alone. source: X post dated Dec 2, 2025 The post mentions no tokens, on-chain integrations, or tickers; therefore there is no direct tradable crypto exposure identified from this post, and the trading-relevant takeaway is limited to narrative interest in AI image generation. source: X post dated Dec 2, 2025

According to @santimentfeed, the latest BSC and Binance Chain development activity rankings show BTCB at No.1 (unchanged), FLUX at No.2 (up), BNB at No.3 (up), ZEC at No.4 (down), TWT at No.5 (unchanged), DUSK at No.6 (up), BAND at No.7 (unchanged), BIFI at No.8 (up), ZRX at No.9 (up), and SAITO at No.10 (down) (Source: @santimentfeed X post, Nov 24, 2025). Santiment attributes these rankings to objective measurements using enhanced GitHub event data in its methodology (Source: Santiment methodology article). Traders can monitor the dedicated BSC and Binance Chain watchlist to track whether development activity momentum persists alongside other on-chain and social metrics (Source: Santiment watchlist).

According to Santiment, the current top Binance Smart Chain and Binance Chain projects by development activity are: 1) PancakeSwap (BTCB), 2) Zcash (ZEC), 3) Flux (FLUX), 4) Binance (BNB), 5) Trust Wallet (TWT), 6) Saito (SAITO), 7) Band Protocol (BAND), 8) ApeSwap (BANANA), 9) Dusk (DUSK), and 10) Beefy Finance (BIFI), measured using enhanced GitHub event data; source: Santiment on X, Oct 29, 2025. Santiment outlines its objective methodology for tracking development activity using enhanced GitHub events here: medium.com/santiment/a-different-look-into-blockchain-ecosystem-development-activity-f34f32180482; source: Santiment Medium.

According to Vitalik Buterin, the FLUX development inference process takes approximately 5 minutes due to the limitations of his 4070 GPU, which has only 8 GB of VRAM. This necessitates the use of enable_sequential_cpu_offload(), resulting in slower performance. He mentioned that using a 4-bit quantization might fit but hasn't been tested yet. Additionally, manual edits take around 10 minutes, and a second round of inpainting takes about 1 minute.

According to VitalikButerin, a single round of FLUX development inference takes approximately 5 minutes due to the limitations of his 4070 GPU, which only has 8 GB of VRAM. This necessitates the use of enable_sequential_cpu_offload(), resulting in slower performance. He mentioned that a 4-bit quantization might fit but has not tested it yet. Additionally, manual edits take around 10 minutes, and a second round of inpainting takes about 1 minute.