Publish native ComfyUI Viggle v0.2.1 LoRAs with required bypass loader instructions

NOTICE-UPSTREAM-v0.2.1

@@ -0,0 +1,22 @@
+Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.
+
+This repository is a derivative work of Qwen/Qwen-Image-2.1, produced by Viggle.
+Built with Qwen.
+
+It contains:
+  ADDED     Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-lora-r256.safetensors - v0.2.1: a distilled LoRA adapter (rank 256, alpha 256) for the base transformer, sampled in 6 steps, stored bf16
+  ADDED     peft_v0.2.1/ - the same v0.2.1 adapter in peft key format, F32 as trained
+  ADDED     Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-lora-r128.safetensors - the v0.2.1 adapter truncated to rank 128 (alpha 128) by per-layer SVD, stored bf16
+  ADDED     comfyui/ - ComfyUI custom nodes (viggle_turbo.py) and text-to-image / edit workflows, and the edit workflow's two example input photos (comfyui/input/); no model weights
+  ADDED     Qwen-Image-2.1-viggle-turbo-v0.2-5step-lora-r256.safetensors - v0.2: the previous distilled LoRA adapter (rank 256, alpha 256), sampled in 5 or 6 steps, stored bf16
+  ADDED     peft_v0.2/ - the same v0.2 adapter in peft key format, F32 as trained
+  ADDED     Qwen-Image-2.1-viggle-turbo-v0.2-5step-lora-r128.safetensors - the v0.2 adapter truncated to rank 128 (alpha 128) by per-layer SVD, stored bf16
+  ADDED     Qwen-Image-2.1-viggle-turbo-4step-lora-r64.safetensors - v0.1: a 4-step distilled LoRA adapter (rank 64, alpha 64), stored bf16
+  ADDED     peft/ - the same v0.1 adapter in peft key format, F32 as trained
+  MODIFIED  transformer/ - v0.1: the base transformer after a full-parameter 4-step distillation fine-tune, stored bf16
+  MODIFIED  scheduler/scheduler_config.json - the base scheduler config with shift_terminal changed from 0.02 to null
+
+No other file of the base model is copied or modified; processor/, text_encoder/ and vae/ are loaded from
+Qwen/Qwen-Image-2.1 at runtime.
+
+Source checkpoints: v0.2.1 LoRA - run v6_isg, step 700 (EMA student); v0.2 LoRA - run v6_isg, step 600 (EMA student); v0.1 transformer/ - run v4_anchor, step 400 (EMA student, full fine-tune); v0.1 LoRA - run v2_16gpu, step 400 (EMA student)

NOTICE-v0.2.1

@@ -0,0 +1,18 @@
+Qwen is licensed under the Qwen RESEARCH LICENSE AGREEMENT, Copyright (c) 2026 Hangzhou Tongyi Laboratory Technology Co., Ltd. All Rights Reserved.
+
+Built with Qwen. Derivative adapters trained by Viggle; converted by T8star.
+
+Modified files:
+  qwen_image_2.1_viggle_turbo_v0.2.1_r256_comfy.safetensors
+  qwen_image_2.1_viggle_turbo_v0.2.1_r128_comfy.safetensors
+
+Modifications: native ComfyUI tensor keys; independent MLP gate/up adapters
+packed into a block-diagonal adapter; explicit alpha matching each rank.
+All source adapter values are retained, with zero padding for fused layers.
+No base-model weights, training, rank truncation, or weight merging added.
+The r128 source was already truncated by Viggle, not by this conversion.
+
+Source: https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo
+Revision: b667ee50696e8f4ccd161e02f8af0e43bb5665ed
+Upstream notices are retained in NOTICE-UPSTREAM-v0.2.1; license in LICENSE.
+Per-file source and conversion checksums are in the manifest JSON files.

README-v0.1.md

@@ -0,0 +1,56 @@
+---
+license: other
+license_name: qwen-research
+license_link: https://huggingface.co/t8star/Qwen-Image-2.1-viggle-turbo-4step-r64-comfy/blob/main/LICENSE
+base_model: Qwen/Qwen-Image-2.1
+pipeline_tag: text-to-image
+tags:
+  - comfyui
+  - qwen-image-2.1
+  - lora
+  - image-editing
+  - four-step
+---
+
+# Viggle Turbo 4 步 LoRA · ComfyUI T8 转换版
+
+**Built with Qwen.** 这是 [Viggle/Qwen-Image-2.1-viggle-turbo](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo) 发布的 Qwen-Image-2.1 4 步蒸馏 LoRA 的 ComfyUI 键名转换版。蒸馏训练由 Viggle 完成；T8star 仅将 Diffusers 的张量键名改为 ComfyUI 原生 Qwen Image 2.1 模型路径，没有重新训练或修改 BF16 张量数据。
+
+**[下载 LoRA：Qwen-Image-2.1-viggle-turbo-4step-r64-comfyui-T8.safetensors](https://huggingface.co/t8star/Qwen-Image-2.1-viggle-turbo-4step-r64-comfy/resolve/main/Qwen-Image-2.1-viggle-turbo-4step-r64-comfyui-T8.safetensors?download=true)**（约 324 MiB）
+
+这份 LoRA 与 Viggle 仓库中的**完整微调 Transformer**是两套不同的学生权重，不能叠加。Viggle 将当前版本标为 v0.1 预览，并指出复杂编辑的效果仍弱于基础模型。此转换版已完成权重与键名校验，尚未独立完成完整出图测试。
+
+## ComfyUI 使用方法
+
+1. 安装支持 Qwen Image 2.1 的新版 ComfyUI，以及 [Comfy-Org 提供的基础扩散模型、文本编码器和 VAE](https://huggingface.co/Comfy-Org/Qwen-Image-2.1)。
+2. 将本仓库的 `.safetensors` 文件放入 `ComfyUI/models/loras/`。在基础模型之后使用原生 `LoraLoaderModelOnly`，把 `strength_model` 设为 `1.0`。
+3. 按 [Viggle 模型说明](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo)使用 **4 步、CFG 1.0、不填负面提示词**。Viggle 的 Diffusers 配方还使用 `shift_terminal=null`；调度器设置不在 LoRA 权重中，ComfyUI 默认采样日程不保证与其结果完全一致。
+
+### 推荐搭配提示词强化节点
+
+推荐 [PE Rewrite T8：Qwen Image 2.1 Prompt Rewrite for ComfyUI](https://github.com/T8mars/Comfyui-Qwen-Image-Prompt-Rewrite-T8)。它先改写文生图或编辑提示词，再将结果送给 Qwen Image 2.1 文本编码节点。本 LoRA 作用于**出图扩散模型**；PE Rewrite T8 使用独立的 **GGUF 提示词改写模型**，需要分别安装。
+
+## 文件与校验
+
+| 项目 | 内容 |
+| --- | --- |
+| 基础模型 | `Qwen/Qwen-Image-2.1` |
+| LoRA | rank 64、alpha 64、BF16；454 个张量、227 个模块 |
+| Viggle 原始 LoRA SHA256 | `5c494dce662a95898d0988831af733b203ceced9116a82aa099c997f96ea1a3a` |
+| 本转换版 SHA256 | `92be516174803a279b6a590fd3861a188c89ed16ebc419daf97b982f0afe53c1` |
+
+转换后张量数据区与原始 LoRA 逐字节一致；全部 227 个模块键已与 ComfyUI 上游 Qwen Image 2.1 LoRA 映射核对，包括 32 个融合 MLP 的分段映射。[来源与修改说明](NOTICE)和 [Qwen Research License](LICENSE) 随文件提供。该许可仅允许非商业研究或评估；商业使用需要另行取得授权。
+
+## T8star 链接
+
+- [B站](https://space.bilibili.com/385085361)
+- [YouTube](https://www.youtube.com/@T8star-Aix/)
+- [API](https://api.seedance.nz/sign-up?aff=5f4w)
+- [免费画廊](https://www.openzhenzhen.com)
+- [在线 AI 应用](https://www.runninghub.ai/zh-cn/user-center/1907375370302308353/userPost?inviteCode=rh-v1121)
+- [ComfyUI 整合包](https://pan.quark.cn/s/264edb7e36bd)
+- [Hugging Face](https://huggingface.co/t8star)
+
+## English summary
+
+This is a native ComfyUI key-format conversion of [Viggle's Qwen-Image-2.1 4-step LoRA](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo). Viggle trained the adapter. T8star changed tensor names only; the BF16 tensor payload is unchanged. Load it over the **base** Qwen-Image-2.1 transformer with `LoraLoaderModelOnly` at strength `1.0`, use 4 steps and CFG `1.0`, and leave the negative prompt empty. Do not stack it on Viggle's full fine-tuned transformer. For prompt enhancement, use the [PE Rewrite T8 node](https://github.com/T8mars/Comfyui-Qwen-Image-Prompt-Rewrite-T8). The weights are subject to the Qwen Research License for non-commercial research or evaluation.

README.md

@@ -1,56 +1,70 @@
 ---
 license: other
 license_name: qwen-research
-license_link: https://huggingface.co/t8star/Qwen-Image-2.1-viggle-turbo-4step-r64-comfy/blob/main/LICENSE
-base_model: Qwen/Qwen-Image-2.1
+license_link: LICENSE
+base_model:
+  - Qwen/Qwen-Image-2.1
+  - Viggle/Qwen-Image-2.1-viggle-turbo
 pipeline_tag: text-to-image
+language:
+  - en
+  - zh
 tags:
   - comfyui
   - qwen-image-2.1
   - lora
   - image-editing
-  - four-step
+  - six-step
 ---
 
-# Viggle Turbo 4 步 LoRA · ComfyUI T8 转换版
+# Qwen-Image-2.1 Viggle Turbo · ComfyUI LoRA
 
-**Built with Qwen.** 这是 [Viggle/Qwen-Image-2.1-viggle-turbo](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo) 发布的 Qwen-Image-2.1 4 步蒸馏 LoRA 的 ComfyUI 键名转换版。蒸馏训练由 Viggle 完成；T8star 仅将 Diffusers 的张量键名改为 ComfyUI 原生 Qwen Image 2.1 模型路径，没有重新训练或修改 BF16 张量数据。
+**Built with Qwen.** [Viggle](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo) 训练，T8star 转换。当前提供 **v0.2.1 六步 r256 / r128**；仓库名称中的 `4step-r64` 是旧版名称，旧权重保留供复现。
 
-**[下载 LoRA：Qwen-Image-2.1-viggle-turbo-4step-r64-comfyui-T8.safetensors](https://huggingface.co/t8star/Qwen-Image-2.1-viggle-turbo-4step-r64-comfy/resolve/main/Qwen-Image-2.1-viggle-turbo-4step-r64-comfyui-T8.safetensors?download=true)**（约 324 MiB）
+> **v0.2.1 必须按随附工作流使用 ComfyUI 内置 `LoraLoaderBypassModelOnly`，搜索名称：`Load LoRA (Bypass, Model Only) (for debugging)`。强度设为 `1.0`，搭配 BF16 底座；无需安装新节点。** 普通 `LoraLoader` / `LoraLoaderModelOnly` 会合并更新，存在作者指出的舍入精度损失。找不到该内置节点时，请更新 ComfyUI。
 
-这份 LoRA 与 Viggle 仓库中的**完整微调 Transformer**是两套不同的学生权重，不能叠加。Viggle 将当前版本标为 v0.1 预览，并指出复杂编辑的效果仍弱于基础模型。此转换版已完成权重与键名校验，尚未独立完成完整出图测试。
+> **For the supplied v0.2.1 workflow, use ComfyUI's built-in `LoraLoaderBypassModelOnly`: search for `Load LoRA (Bypass, Model Only) (for debugging)`. Set strength to `1.0` and use the BF16 base. No custom nodes are required.** Ordinary merged LoRA loaders can lose adapter updates through rounding. Update ComfyUI if the built-in node is unavailable.
 
-## ComfyUI 使用方法
+| Version / 版本 | Download / 下载 | Size / 大小 | Steps / 步数 |
+|---|---|---:|---:|
+| v0.2.1 r256 | [r256 LoRA](qwen_image_2.1_viggle_turbo_v0.2.1_r256_comfy.safetensors) | 1.76 GB | 6 |
+| v0.2.1 r128 | [r128 LoRA](qwen_image_2.1_viggle_turbo_v0.2.1_r128_comfy.safetensors) | 881 MB | 6 |
+| v0.1 r64 · legacy / 旧版 | [r64 LoRA](Qwen-Image-2.1-viggle-turbo-4step-r64-comfyui-T8.safetensors) · [旧版说明 / legacy guide](README-v0.1.md) | 340 MB | 4 |
 
-1. 安装支持 Qwen Image 2.1 的新版 ComfyUI，以及 [Comfy-Org 提供的基础扩散模型、文本编码器和 VAE](https://huggingface.co/Comfy-Org/Qwen-Image-2.1)。
-2. 将本仓库的 `.safetensors` 文件放入 `ComfyUI/models/loras/`。在基础模型之后使用原生 `LoraLoaderModelOnly`，把 `strength_model` 设为 `1.0`。
-3. 按 [Viggle 模型说明](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo)使用 **4 步、CFG 1.0、不填负面提示词**。Viggle 的 Diffusers 配方还使用 `shift_terminal=null`；调度器设置不在 LoRA 权重中，ComfyUI 默认采样日程不保证与其结果完全一致。
+## 简体中文
 
-### 推荐搭配提示词强化节点
+1. 使用 **ComfyUI 0.37.0、前端 1.53.6 或更新版本**。选择一份 v0.2.1 LoRA，放入 `ComfyUI/models/loras/`。
+2. 从 [Comfy-Org/Qwen-Image-2.1](https://huggingface.co/Comfy-Org/Qwen-Image-2.1) 下载三个底座文件，按下表放置。
+3. 导入[文生图工作流](workflows/viggle_v021_text_to_image_ui.json)或[图片编辑工作流](workflows/viggle_v021_image_edit_ui.json)，选择模型；编辑时在 `LoadImage` 选择参考图。默认选用 r256，使用 r128 时切换 LoRA 文件即可。
 
-推荐 [PE Rewrite T8：Qwen Image 2.1 Prompt Rewrite for ComfyUI](https://github.com/T8mars/Comfyui-Qwen-Image-Prompt-Rewrite-T8)。它先改写文生图或编辑提示词，再将结果送给 Qwen Image 2.1 文本编码节点。本 LoRA 作用于**出图扩散模型**；PE Rewrite T8 使用独立的 **GGUF 提示词改写模型**，需要分别安装。
+| 文件 / File | 目录 / Folder |
+|---|---|
+| `qwen_image_2.1_bf16.safetensors` | `ComfyUI/models/diffusion_models/` |
+| `qwen3vl_8b_int8_convrot.safetensors` | `ComfyUI/models/text_encoders/` |
+| `qwen_image_2.1_vae_bf16.safetensors` | `ComfyUI/models/vae/` |
 
-## 文件与校验
+工作流使用 **Euler、六步、无 CFG**，按输出尺寸自动计算作者的 sigma 日程，并关闭 Qwen 前缀缓存。请保留调度组连线；仅把普通 KSampler 的步数改成 6 并不等价。另附[文生图 API](api_workflows/viggle_v021_text_to_image_api.json)和[编辑 API](api_workflows/viggle_v021_image_edit_api.json)。
 
-| 项目 | 内容 |
-| --- | --- |
-| 基础模型 | `Qwen/Qwen-Image-2.1` |
-| LoRA | rank 64、alpha 64、BF16；454 个张量、227 个模块 |
-| Viggle 原始 LoRA SHA256 | `5c494dce662a95898d0988831af733b203ceced9116a82aa099c997f96ea1a3a` |
-| 本转换版 SHA256 | `92be516174803a279b6a590fd3861a188c89ed16ebc419daf97b982f0afe53c1` |
+支持 **BF16 DiT**。INT8 DiT 的融合 MLP 路径可能跳过 bypass hook；上表中的 INT8 **文本编码器**可以使用。使用原版 Qwen3-VL-8B，不使用 Zen student；不要叠加不同版本的蒸馏 LoRA，也不要挂在 Viggle 完整微调 Transformer 上。
 
-转换后张量数据区与原始 LoRA 逐字节一致；全部 227 个模块键已与 ComfyUI 上游 Qwen Image 2.1 LoRA 映射核对，包括 32 个融合 MLP 的分段映射。[来源与修改说明](NOTICE)和 [Qwen Research License](LICENSE) 随文件提供。该许可仅允许非商业研究或评估；商业使用需要另行取得授权。
+转换保留全部 227 组源投影，通过块对角打包适配 ComfyUI 的融合 MLP；文件只含 LoRA，不含底座，没有再次截断 rank。已在禁用全部自定义节点的环境验证 512 像素文生图与编辑、完整权重映射和六步调度。内置 bypass 加载器仍标为实验性功能；复杂多参考图编辑并非均能准确遵循指令。
 
-## T8star 链接
+## English
 
-- [B站](https://space.bilibili.com/385085361)
-- [YouTube](https://www.youtube.com/@T8star-Aix/)
-- [API](https://api.seedance.nz/sign-up?aff=5f4w)
-- [免费画廊](https://www.openzhenzhen.com)
-- [在线 AI 应用](https://www.runninghub.ai/zh-cn/user-center/1907375370302308353/userPost?inviteCode=rh-v1121)
-- [ComfyUI 整合包](https://pan.quark.cn/s/264edb7e36bd)
-- [Hugging Face](https://huggingface.co/t8star)
+These are **v0.2.1 six-step r256 / r128** adapters converted for native ComfyUI. The repository retains its historical `4step-r64` name; the old r64 file and [legacy instructions](README-v0.1.md) remain available.
 
-## English summary
+Use **ComfyUI 0.37.0 / frontend 1.53.6 or newer**. Place one v0.2.1 adapter in `ComfyUI/models/loras/`, download the separate base files listed above, and open the [text-to-image](workflows/viggle_v021_text_to_image_ui.json) or [image-edit](workflows/viggle_v021_image_edit_ui.json) workflow. Select your model files and, for editing, a reference image. Switch the LoRA filename to use r128.
 
-This is a native ComfyUI key-format conversion of [Viggle's Qwen-Image-2.1 4-step LoRA](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo). Viggle trained the adapter. T8star changed tensor names only; the BF16 tensor payload is unchanged. Load it over the **base** Qwen-Image-2.1 transformer with `LoraLoaderModelOnly` at strength `1.0`, use 4 steps and CFG `1.0`, and leave the negative prompt empty. Do not stack it on Viggle's full fine-tuned transformer. For prompt enhancement, use the [PE Rewrite T8 node](https://github.com/T8mars/Comfyui-Qwen-Image-Prompt-Rewrite-T8). The weights are subject to the Qwen Research License for non-commercial research or evaluation.
+Load through **`LoraLoaderBypassModelOnly`, strength `1.0`, BF16 DiT**. The workflows use Euler, six steps, no CFG, the author's resolution-dependent sigma schedule, and disabled prefix caching. Keep the schedule group connected: setting an ordinary KSampler to six steps is not equivalent. INT8 DiT's fused MLP can skip bypass hooks; the separate INT8 Qwen3-VL-8B text encoder is supported. Do not use the Zen student encoder or stack distilled adapters/full fine-tunes.
+
+All 227 source projection adapters are preserved through block-diagonal packing for ComfyUI's fused MLP. No base weights, further rank truncation, or weight merging are included. Native 512 px generation/editing, complete mapping, and schedule equivalence were validated with all custom nodes disabled. The built-in bypass loader is experimental; this is functional validation, not a comprehensive quality benchmark.
+
+## Sources & license / 来源与许可
+
+[Upstream model / 原模型](https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo) · [Conversion source / 转换源码](https://github.com/T8mars/comfyui-Zen-Image-Edit-T8/blob/main/scripts/convert_viggle_lora.py) · [SHA256SUMS](SHA256SUMS)
+
+Weights retain the [Qwen Research License](LICENSE), for non-commercial research/evaluation; commercial use requires separate permission. / 权重沿用 Qwen Research License，仅限非商业研究与评估；商业使用须另行取得许可。v0.2.1 归属和修改见 [NOTICE-v0.2.1](NOTICE-v0.2.1) 与 [上游声明](NOTICE-UPSTREAM-v0.2.1)；旧版见 [NOTICE](NOTICE)。
+
+## T8star
+
+[B站 / Bilibili](https://space.bilibili.com/385085361) · [YouTube](https://www.youtube.com/@T8star-Aix/) · [Hugging Face](https://huggingface.co/t8star) · [API](https://api.seedance.nz/sign-up?aff=5f4w) · [免费画廊 / Gallery](https://www.openzhenzhen.com) · [在线 AI 应用 / AI apps](https://www.runninghub.ai/zh-cn/user-center/1907375370302308353/userPost?inviteCode=rh-v1121) · [ComfyUI 整合包 / Portable bundle](https://pan.quark.cn/s/264edb7e36bd)

SHA256SUMS

@@ -0,0 +1,3 @@
+448fd1a3fca9f00c6c889c487bf2f8be1e611def13b8f55a79688bebf1928975  qwen_image_2.1_viggle_turbo_v0.2.1_r256_comfy.safetensors
+2bbf5b6c91d19ecb568a63d61ac490aa679a6a7bef14a68291abd386c0d4f77f  qwen_image_2.1_viggle_turbo_v0.2.1_r128_comfy.safetensors
+92be516174803a279b6a590fd3861a188c89ed16ebc419daf97b982f0afe53c1  Qwen-Image-2.1-viggle-turbo-4step-r64-comfyui-T8.safetensors

api_workflows/viggle_v021_image_edit_api.json

@@ -0,0 +1,258 @@
+{
+  "1": {
+    "class_type": "UNETLoader",
+    "inputs": {
+      "unet_name": "qwen_image_2.1_bf16.safetensors",
+      "weight_dtype": "default"
+    }
+  },
+  "2": {
+    "class_type": "LoraLoaderBypassModelOnly",
+    "inputs": {
+      "model": [
+        "1",
+        0
+      ],
+      "lora_name": "qwen_image_2.1_viggle_turbo_v0.2.1_r256_comfy.safetensors",
+      "strength_model": 1.0
+    }
+  },
+  "3": {
+    "class_type": "CLIPLoader",
+    "inputs": {
+      "clip_name": "qwen3vl_8b_int8_convrot.safetensors",
+      "type": "qwen_image",
+      "device": "default"
+    }
+  },
+  "4": {
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