English(EN) Fizgig 9.0.4: Fibo 2.0 training, Z-Image Base, masks from Sam 3.1, Detail crops for styles

Fizgig 9.0.4 增加 Fibo 2.0 训练、SAM 3.1 蒙版和新的优化器

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-04 21:59

Fizgig 发布了 9.0.4 版本，引入了用于 LoRA 训练和微调的 Fibo 2.0，以及用于图像生成的 Z-Image Base 模型。此次更新通过 SAM 3.1 增强了训练能力，用于蒙版生成和编辑，并为风格 LoRA 提供细节裁剪训练，以提高纹理和笔触保真度。此外，它还集成了 Prodigy 和 Muon 等新的优化器，支持在子文件夹上进行训练，并提供了改进的字幕选项。 AI

影响通过新的模型和改进的蒙版生成能力，增强了图像生成和训练工具。

排序理由图像生成工具的软件更新。

在 r/StableDiffusion 阅读 →

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

Fizgig 9.0.4 增加 Fibo 2.0 训练、SAM 3.1 蒙版和新的优化器

本文如何被排名

Signal score: 7 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 图像生成工具的软件更新。
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; 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/shootthesound · 2026-11-04 21:59

Fizgig 9.0.4: Fibo 2.0 training, Z-Image Base, masks from Sam 3.1, Detail crops for styles

<div class="md">New models <ul> <li>Fibo 2.0: LoRAs, edit LoRAs, sliders and full fine-tunes from a 12 GB card, with 4-step Turbo previews. Everything it saves loads in ComfyUI. (<a href="https://github.com/shootthesound/Fiz…

本文如何被排名

报道来源 [1]

Fizgig 9.0.4: Fibo 2.0 training, Z-Image Base, masks from Sam 3.1, Detail crops for styles

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