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Browse files- README.md +48 -0
- any-anima-for-lora-training/README.md +33 -0
- any-anima-for-lora-training/anyAnimaForLora_102.safetensors +3 -0
- index.json +35 -0
README.md
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---
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title: train_use_models
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license: other
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tags:
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- lora-training
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- base-model
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---
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# train_use_models — 训练用模型仓库
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本仓库存放 **lora-scripts-anima 训练所需的模型文件**(训练底模、VAE、文本编码器等),
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供训练器从 Hugging Face 直接下载使用。所有模型均为从原始出处转载,未经任何修改。
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## 索引 / Index
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### 训练底模 / Base models
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| 模型名称 | 版本 | 文件 | 说明 | 来源 |
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|---|---|---|---|---|
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| Any Anima (for LoRA training) | 1.0.2 | `any-anima-for-lora-training/anyAnimaForLora_102.safetensors` | 专为 LoRA 训练调整的 Anima 底模(`discrete_flow_shift` 1→3),不适合直接生成图像 | [Civitai](https://civitai.red/models/2454865/any-anima-for-lora-training?modelVersionId=3017846)(作者 RedRayz) |
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## 目录结构 / Structure
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```
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README.md # 本索引(人类可读)
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index.json # 机器可读清单,训练器用这个枚举与下载(名称/版本/路径/SHA256/参数提示/出处)
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<model-key>/ # 每个模型一个子目录,目录名即 index.json 中的 id
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├── *.safetensors
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└── README.md # 该模型的详情
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```
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## 下载 / Download
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```bash
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# 训练器侧:按 index.json 中的 file 逐文件下载,落到本地 models/ 目录
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hf download ame-la/train_use_models any-anima-for-lora-training/anyAnimaForLora_102.safetensors --local-dir models/
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# 或整仓快照
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hf download ame-la/train_use_models --local-dir models/
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```
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## 添加新模型 / Adding a model
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1. 将模型文件放入新子目录(目录名用小写横线,如 `anima-base-v1.0/`),附上该模型的 `README.md`(注明原作者、原始出处、许可条款、推荐训练参数);
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2. 在 `index.json` 的 `models` 数组中新增条目(`id`、`name`、`version`、`file`、`sha256`、`size_bytes`、`group`、`params`、`source`、`download_url`);
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3. 在本文件索引表中补充一行。
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> 转载规则:遵守原模型的许可条款。若原条款不允许更改许可证(如 Civitai 的默认条款),
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> 仓库级 license 字段保持 `other`,具体条款写在各模型的 README 中。
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---
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title: Any Anima (for LoRA training)
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license: other
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tags:
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- safetensors
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- base-model
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- lora-training
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---
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# Any Anima (for LoRA training) v1.0.2
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> 转载自 Civitai,原文件未作任何修改,SHA256 与 Civitai 官方值一致。
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**原作者 / Original author:** [RedRayz](https://civitai.red/models/2454865)
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**原始页面 / Source page:** <https://civitai.red/models/2454865/any-anima-for-lora-training?modelVersionId=3017846>
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专为 **LoRA 训练** 调整的 Anima 底模:与 Anima 官方 1.0 版相比 `discrete_flow_shift` 从 1 改为 3。
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**不适合直接用于图像生成**,请配合训练流程使用(训练时填 `discrete_flow_shift = 3.0`)。
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An Anima base model tuned for **LoRA training**: compared to Anima 1.0, `discrete_flow_shift` is changed from 1 to 3.
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Not intended for direct image generation — use it in training with `discrete_flow_shift = 3.0`.
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## 文件 / Files
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| 文件 | 大小 | 类型 | SHA256 |
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|---|---|---|---|
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| `anyAnimaForLora_102.safetensors` | 3.9 GB | 扩散模型 / diffusion model | `696e04fc2377431afea969faa4dd0e2282e4da40b0def959a1ae7e53b0d59c1b` |
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## 许可 / License
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按 Civitai 原始条款重新托管,未作任何修改:允许衍生作品、无需署名(仍建议注明原始出处)、**不得更改许可证**;商业使用仅限图像。本仓库不为其应用额外许可证。
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Re-hosted under the original Civitai terms without modification: derivatives allowed, credit not required (original source acknowledged), **license may not be changed**; commercial use allowed for images only. No additional license is applied by this repo.
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any-anima-for-lora-training/anyAnimaForLora_102.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:696e04fc2377431afea969faa4dd0e2282e4da40b0def959a1ae7e53b0d59c1b
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size 4182219262
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index.json
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{
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"version": 1,
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"updated": "2026-08-22",
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"models": [
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{
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"id": "any-anima-for-lora-training",
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"name": "Any Anima (for LoRA training)",
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"version": "1.0.2",
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"file": "any-anima-for-lora-training/anyAnimaForLora_102.safetensors",
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"local_name": "anyAnimaForLora_102.safetensors",
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"size_bytes": 4182219262,
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"sha256": "696e04fc2377431afea969faa4dd0e2282e4da40b0def959a1ae7e53b0d59c1b",
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"group": "Anima",
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"kind": "base-model",
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"description": "专为 LoRA 训练调整的 Anima 底模(discrete_flow_shift 1→3),不适合直接用于图像生成",
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"params": {
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"discrete_flow_shift": 3.0
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},
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"source": {
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"url": "https://civitai.red/models/2454865/any-anima-for-lora-training?modelVersionId=3017846",
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"author": "RedRayz",
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"author_url": "https://civitai.red/models/2454865",
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"mirrored": true
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},
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"license": {
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"type": "civitai-terms",
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"allow_derivatives": true,
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"credit_required": false,
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"commercial_use": "images-only",
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"cannot_change_license": true
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},
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"download_url": "https://huggingface.co/ame-la/train_use_models/resolve/main/any-anima-for-lora-training/anyAnimaForLora_102.safetensors"
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}
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]
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}
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