ifmylove2011/girlslike-zimage

text-to-image model by ifmylove2011

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用于测试基于 Z-Image Base/Turbo BF16 训练的人物 LoKR / LoRA,仅代表个人审美与训练效果。实际生成结果仅供测试,请勿用于冒充、欺骗或其他不当用途。 后缀为zi代表基于z-image base训练,zit则代表基于turbo训练,zi在base与turbo模型中均可使用,zit则只能在turbo中使用。 z-image base训练尚无较为通用的可行方案,目前本zi系列选择的方案是全秩lokr,可在与turbo模型配合使用时以权重1.0出图,也能适当增加权重以增强相似性,最好不要超过1.5。 而在与base模型或相关微调模型配合使用时,可适当降低权重。 基于base训练的zi lokr在turbo模型中使用时,质感会更接近turbo本身(应该是base模型本身低噪部分难以被"污染"的缘故),中远景图中的人物相似度也会比zit好一些,近景则更"平淡"。 但总体来说兼容性存疑,比如解剖学问题仍然大量存在(在base模型上生图就存在类似问题,也影响到了训练,会让肢体问题重新变得不稳定又棘手),其他类似的问题都还在测试中,后续有更好的方案会继续更新。 示例图生图参数设定: 鉴于z-image turbo模型本身就能通过人名提示词直出某些真实人物,因此本系列lora训练中也添加了人物本名作为触发词,生图时需输入触发词才能准确画出对应人物。(名字本身就是触发词,无需其他前缀后缀;有些人物在base模型中是无法直出的,但在turbo模型中是可以的,要注意甄别) 如果原模型触发词已被占用,则使用其他特定触发词,特定触发词会包含在示例图的水印中(水印通常以girlslikezi for xxx形式出现,xxx即为触发词),有水印的示例图就代表需要使用特定触发词而非本名。…

ifmylove2011/girlslike-zimage on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. GirlsLike-Zit 图片展示
  2. girlslikezichshu
  3. girlslikezisff
  4. girlslikezilc
  5. girlslikezigfl
  6. girlslikezilxp
  7. girlslikeziwjn
  8. girlslikezilsf
  9. girlslikezihsiy
  10. girlslikeziczh
  11. girlslikezisc
  12. girlslikezinn

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

ifmylove2011/girlslike-zimage is a text-to-image model repository published by ifmylove2011 on Hugging Face. The source reports the diffusers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
text-to-image
Library
diffusers
Recent downloads (30 days)
59,230
Cumulative likes
64
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2025-12-18T01:53:13.000Z
Last modified
2026-10-17T03:31:18.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: Tongyi-MAI/Z-Image, Tongyi-MAI/Z-Image-Turbo

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-10-17T06:42:59.131Z. Daily imports are snapshots, not real-time monitoring.

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