モデル情報

zimage_turbo_training_adapter

ostris · zimage_turbo_training_adapter

This is a training adapter designed to be used for fine-tuning Tongyi-MAI/Z-Image-Turbo. It was made for use with AI Toolkit but could potentially be used in other trainers as well. If you are implementing it into training code and have questions. I am always heppy to help. Just reach out. It can also be used as a general de-distillation LoRA for inference to remove the "Turbo" from "Z-Image-Turbo". When you train directly on a step distilled model, the distillation breaks down very quickly. This results in losing the step distillation in an unpredictable way. A de-distill training adapter slows this process down significantly allowing you to do short training runs while preserving the step distillation (speed). This is really just a hack to significantly slow down the distillation when fine-tuning a distilled model. The distillation will still be broken down over time. What that means is, this adapter will work great for shorter runs such as styles, concepts, and characters. However, doing a long training run will likely lead to the distillation breaking down to a point where artifacts will be produced when the adapter is removed.

翻訳待ちのため原文を表示しています。

画像生成license:apache-2.0
コンテキスト長非公開
入力 → 出力テキスト → 画像
モデルウェイト未確認
情報更新日時2026/11/2 19:16:10
OVERVIEW

モデル紹介

This is a training adapter designed to be used for fine-tuning Tongyi-MAI/Z-Image-Turbo. It was made for use with AI Toolkit but could potentially be used in other trainers as well. If you are implementing it into training code and have questions. I am always heppy to help. Just reach out. It can also be used as a general de-distillation LoRA for inference to remove the "Turbo" from "Z-Image-Turbo". When you train directly on a step distilled model, the distillation breaks down very quickly. This results in losing the step distillation in an unpredictable way. A de-distill training adapter slows this process down significantly allowing you to do short training runs while preserving the step distillation (speed). This is really just a hack to significantly slow down the distillation when fine-tuning a distilled model. The distillation will still be broken down over time. What that means is, this adapter will work great for shorter runs such as styles, concepts, and characters. However, doing a long training run will likely lead to the distillation breaking down to a point where artifacts will be produced when the adapter is removed.

主な特徴

特点摘要待依据来源补齐,不凭模型名称推断能力。

制約と注意点

具体的な制約を判断する出典が不足しています。実際の性能、遅延、データ方針、ライセンス、提供期間を確認してください。

PRICING & COST

出典別料金と費用分析

料金はチャネル・地域・設定によって異なります。各チャネルの料金は個別に表示し、提供元の統一公式料金とは見なしません。

出典・チャネル入力出力課金単位収集日時
確認可能な料金がありません。出典を確認してください。

月額の基本トークン費用を試算

—

試算はキャッシュ割引、段階料金、マルチモーダル追加料金、検索、税金、追加推論出力を含みません。

INDEPENDENT BENCHMARKS

公開評価と実行設定

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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よくある質問

オープンウェイトなら無料で商用利用できますか?

必ずしもそうではありません。バージョン別のライセンス、商用条件、利用方針を確認してください。自前運用には計算資源と保守費用も必要です。

これはリアルタイムの請求料金ですか?

収集日時付きの料金スナップショットです。最新のバージョン、地域、割引、課金方式は各チャネルで確認してください。

出典と追跡記録

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。