English(EN) What are you guys hoping to see in upcoming image and video models?

AI图像生成用户讨论未来模型的期望功能

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-24 20:20

r/StableDiffusion subreddit 的用户正在讨论他们对未来图像和视频生成模型的期望。参与者对 Krea 2 等现有工具表示满意，并期待文本到图像 (T2I)、图像到图像 (I2I) 和视频生成方面的进步。具体期望包括改进的 VAE、更大的 DiT 模型，以及基于 GPT-2.5 等模型中使用的全新架构的开源模型的潜力，特别是对循环 Transformer 的兴趣。 AI

影响用户期望突显了 AI 图像和视频生成工具未来可能的发展方向。

排序理由用户讨论论坛帖子，关于对未来 AI 模型期望的功能。

在 r/StableDiffusion 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Signal score: 3 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Commentary; 用户讨论论坛帖子，关于对未来 AI 模型期望的功能。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, opinion; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

r/StableDiffusion TIER_2 English(EN) · /u/East_Shoe8814 · 2026-10-24 20:20

What are you guys hoping to see in upcoming image and video models?

<div class="md"><p>We've been eating good lately, so I'm curious what you guys wanna see in future models. T2I, I2I, video, anything goes. </p> <p>Personally, I'm really happy with Krea 2. The model has honestly delivered pretty much everything I've thrown at it. T…

本文如何被排名

报道来源 [1]

What are you guys hoping to see in upcoming image and video models?

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