diff --git a/CHANGELOG.md b/CHANGELOG.md
index b85d076d0..b9cde65f2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,12 +1,14 @@
 # Change Log for SD.Next
 
-## Update for 2025-10-02
+## Update for 2025-10-03
 
 - **Models**
   - [WAN 2.2 14B VACE](https://huggingface.co/alibaba-pai/Wan2.2-VACE-Fun-A14B)  
     available for *text-to-image* and *text-to-video* and *image-to-video* workflows  
   - [Qwen Image Edit 2509](https://huggingface.co/Qwen/Qwen-Image-Edit-2509) and [Nunchaku Qwen Image Edit 2509](https://huggingface.co/nunchaku-tech/nunchaku-qwen-image-edit-2509)  
     updated version of Qwen Image Edit with improved image consistency  
+  - [Qwen Image Pruning](https://huggingface.co/OPPOer/Qwen-Image-Pruning) and [Qwen Image Edit Pruning](https://huggingface.co/OPPOer/Qwen-Image-Edit-Pruning)  
+    pruned versions of Qwen with 13B params instead of 20B, with some quality tradeoff  
   - [HiDream E1.1](https://huggingface.co/HiDream-ai/HiDream-E1-1)  
     updated version of E1 image editing model  
   - [Tencent FLUX.1 Dev SRPO](https://huggingface.co/tencent/SRPO)  
@@ -15,7 +17,6 @@
     impact of nunchaku engine on unet-based model such as sdxl is much less than on a dit-based models, but its still significantly faster than baseline  
     note that nunchaku optimized and prequantized unet is replacement for base unet, so its only applicable to base models, not any of finetunes  
     *how to use*: enable nunchaku in settings -> quantization and then load either sdxl-base or sdxl-base-turbo reference models  
-    *note*: sdxl support for nunchaku is not in released version of `nunchaku==1.0.0`, so you need to build [nunchaku](https://nunchaku.tech/docs/nunchaku/installation/installation.html) from source
 - **Features**
   - [Cache-DiT](https://github.com/vipshop/cache-dit)  
     cache-dit is a unified, flexible and training-free cache acceleration framework  
@@ -74,6 +75,7 @@
   - **attention** remove split-attention and add explicitly attention slicing enable/disable option  
     enable in *settings -> compute settings*  
     can be combined with sdp, enabling may improve stability when used on iGPU or shared memory systems  
+  - **nunchaku** update to `1.0.1`  
 - **Experimental**
   - `new` command line flag enables new `pydantic` and `albumentations` packages  
   - **modular pipelines**: enable in *settings -> model options*  
diff --git a/html/reference.json b/html/reference.json
index 8c5901381..ad1b7e333 100644
--- a/html/reference.json
+++ b/html/reference.json
@@ -183,7 +183,7 @@
   "Qwen-Image": {
     "path": "Qwen/Qwen-Image",
     "preview": "Qwen--Qwen-Image.jpg",
-    "desc": " Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing.",
+    "desc": "Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing.",
     "skip": true,
     "extras": "",
     "size": 56.1,
@@ -228,12 +228,39 @@
   "Qwen-Image-Lightning-Edit": {
     "path": "vladmandic/Qwen-Lightning-Edit",
     "preview": "vladmandic--Qwen-Lightning-Edit.jpg",
-    "desc": " Qwen-Lightning-Edit is step-distilled from Qwen-Image-Edit to allow for generation in 8 steps.",
+    "desc": "Qwen-Lightning-Edit is step-distilled from Qwen-Image-Edit to allow for generation in 8 steps.",
     "skip": true,
     "extras": "steps: 8",
     "size": 56.1,
     "date": "2025 August"
   },
+  "Qwen-Image-Pruning": {
+    "path": "OPPOer/Qwen-Image-Pruning-13B",
+    "subfolder": "Qwen-Image-13B",
+    "preview": "vladmandic--Qwen-Lightning-Edit.jpg",
+    "desc": "This open-source project is based on Qwen-Image and has attempted model pruning, removing 20 layers while retaining the weights of 40 layers, resulting in a model size of 13.6B parameters.",
+    "skip": true,
+    "size": 56.1,
+    "date": "2025 Ocotober"
+  },
+  "Qwen-Image-Edit-Pruning": {
+    "path": "OPPOer/Qwen-Image-Edit-Pruning-13B",
+    "subfolder": "Qwen-Image-Edit-13B",
+    "preview": "vladmandic--Qwen-Lightning-Edit.jpg",
+    "desc": "This open-source project is based on Qwen-Image-Edit and has attempted model pruning, removing 20 layers while retaining the weights of 40 layers, resulting in a model size of 13.6B parameters.",
+    "skip": true,
+    "size": 56.1,
+    "date": "2025 Ocotober"
+  },
+  "Qwen-Image-Edit-2509-Pruning": {
+    "path": "OPPOer/Qwen-Image-Edit-Pruning-14B",
+    "subfolder": "Qwen-Image-Edit-2509-14B",
+    "preview": "vladmandic--Qwen-Lightning-Edit.jpg",
+    "desc": "This open-source project is based on Qwen-Image-Edit and has attempted model pruning, removing 20 layers while retaining the weights of 40 layers, resulting in a model size of 13.6B parameters.",
+    "skip": true,
+    "size": 56.1,
+    "date": "2025 Ocotober"
+  },
 
   "lodestones Chroma1 HD": {
     "path": "lodestones/Chroma1-HD",
diff --git a/modules/mit_nunchaku.py b/modules/mit_nunchaku.py
index a06e7cfda..b331f683a 100644
--- a/modules/mit_nunchaku.py
+++ b/modules/mit_nunchaku.py
@@ -4,7 +4,7 @@ from installer import log, pip
 from modules import devices
 
 
-ver = '1.0.0'
+ver = '1.0.1'
 ok = False
 
 
diff --git a/modules/modelloader.py b/modules/modelloader.py
index bc2e0b607..0502a367c 100644
--- a/modules/modelloader.py
+++ b/modules/modelloader.py
@@ -180,6 +180,13 @@ def find_diffuser(name: str, full=False):
     if len(repo) > 0:
         return [repo[0]['name']]
     hf_api = hf.HfApi()
+    suffix = ''
+    if len(name) > 3 and name.count('/') > 1:
+        parts = name.split('/')
+        name = '/'.join(parts[:2]) # only user/model
+        suffix = '/'.join(parts[2:]) # subfolder
+        if len(suffix) > 0:
+            suffix = '/' + suffix
     models = list(hf_api.list_models(model_name=name, library=['diffusers'], full=True, limit=20, sort="downloads", direction=-1))
     if len(models) == 0:
         models = list(hf_api.list_models(model_name=name, full=True, limit=20, sort="downloads", direction=-1)) # widen search
@@ -187,9 +194,9 @@ def find_diffuser(name: str, full=False):
     shared.log.debug(f'Search model: repo="{name}" {len(models) > 0}')
     if len(models) > 0:
         if not full:
-            return models[0].id
+            return models[0].id + suffix
         else:
-            return [m.id for m in models]
+            return [m.id + suffix for m in models]
     return None
 
 
diff --git a/modules/sd_checkpoint.py b/modules/sd_checkpoint.py
index a1ea0d8ed..6870c740f 100644
--- a/modules/sd_checkpoint.py
+++ b/modules/sd_checkpoint.py
@@ -27,6 +27,7 @@ class CheckpointInfo:
         self.hash = sha
         self.filename = filename
         self.type = ''
+        self.subfolder = None
         relname = filename
         app_path = os.path.abspath(paths.script_path)
 
@@ -106,7 +107,7 @@ class CheckpointInfo:
         return self.shorthash
 
     def __str__(self):
-        return f"CheckpointInfo(name={self.name} filename={self.filename} hash={self.shorthash} type={self.type}"
+        return f'CheckpointInfo(name="{self.name}" filename="{self.filename}" hash={self.shorthash} type={self.type} title="{self.title}" path="{self.path}" subfolder="{self.subfolder}")'
 
 
 def setup_model():
@@ -231,7 +232,12 @@ def get_closet_checkpoint_match(s: str) -> CheckpointInfo:
         return checkpoint_info
 
     # huggingface search
-    if shared.opts.sd_checkpoint_autodownload and s.count('/') == 1:
+    if shared.opts.sd_checkpoint_autodownload and (s.count('/') == 1 or s.count('/') == 2):
+        if s.count('/') == 2:
+            subfolder = '/'.join(s.split('/')[2:]) # subfolder
+            s = '/'.join(s.split('/')[:2]) # only user/model
+        else:
+            subfolder = None
         modelloader.hf_login()
         found = modelloader.find_diffuser(s, full=True)
         if found is None:
@@ -241,6 +247,7 @@ def get_closet_checkpoint_match(s: str) -> CheckpointInfo:
         if found is not None and len(found) == 1:
             checkpoint_info = CheckpointInfo(s)
             checkpoint_info.type = 'huggingface'
+            checkpoint_info.subfolder = subfolder
             return checkpoint_info
 
     # civitai search
@@ -289,7 +296,7 @@ def select_checkpoint(op='model', sd_model_checkpoint=None):
         return None
     if model_checkpoint is not None:
         if model_checkpoint != 'model.safetensors' and model_checkpoint != 'stabilityai/stable-diffusion-xl-base-1.0':
-            shared.log.info(f'Load {op}: search="{model_checkpoint}" not found')
+            shared.log.error(f'Load {op}: search="{model_checkpoint}" not found')
         else:
             shared.log.info("Selecting first available checkpoint")
     else:
diff --git a/pipelines/generic.py b/pipelines/generic.py
index 2c5f0b847..0eb2c19c1 100644
--- a/pipelines/generic.py
+++ b/pipelines/generic.py
@@ -48,7 +48,7 @@ def load_transformer(repo_id, cls_name, load_config={}, subfolder="transformer",
                 **quant_args,
             )
         else:
-            shared.log.debug(f'Load model: transformer="{repo_id}" cls={cls_name.__name__} quant="{quant_type}" args={load_args}')
+            shared.log.debug(f'Load model: transformer="{repo_id}" cls={cls_name.__name__} subfolder={subfolder} quant="{quant_type}" args={load_args}')
             if dtype is not None:
                 load_args['torch_dtype'] = dtype
             if subfolder is not None:
diff --git a/pipelines/model_qwen.py b/pipelines/model_qwen.py
index f28313603..eedefd014 100644
--- a/pipelines/model_qwen.py
+++ b/pipelines/model_qwen.py
@@ -1,11 +1,12 @@
 import transformers
 import diffusers
 from modules import shared, devices, sd_models, model_quant, sd_hijack_te, sd_hijack_vae
-from pipelines import generic
 
 
 def load_qwen(checkpoint_info, diffusers_load_config={}):
+    from pipelines import generic, qwen
     repo_id = sd_models.path_to_repo(checkpoint_info)
+    repo_subfolder = checkpoint_info.subfolder
     sd_models.hf_auth_check(checkpoint_info)
     transformer = None
 
@@ -29,8 +30,7 @@ def load_qwen(checkpoint_info, diffusers_load_config={}):
         diffusers.pipelines.auto_pipeline.AUTO_INPAINT_PIPELINES_MAPPING["qwen-image"] = diffusers.QwenImageInpaintPipeline
 
     if model_quant.check_nunchaku('Model'):
-        from pipelines.qwen.qwen_nunchaku import load_qwen_nunchaku
-        transformer = load_qwen_nunchaku(repo_id)
+        transformer = qwen.load_qwen_nunchaku(repo_id)
 
     if 'Qwen-Image-Distill-Full' in repo_id:
         repo_transformer = repo_id
@@ -38,7 +38,10 @@ def load_qwen(checkpoint_info, diffusers_load_config={}):
         repo_id = 'Qwen/Qwen-Image'
     else:
         repo_transformer = repo_id
-        transformer_subfolder = "transformer"
+        if repo_subfolder is not None:
+            transformer_subfolder = repo_subfolder + '/transformer'
+        else:
+            transformer_subfolder = "transformer"
 
     if transformer is None:
         transformer = generic.load_transformer(
@@ -52,11 +55,12 @@ def load_qwen(checkpoint_info, diffusers_load_config={}):
     repo_te = 'Qwen/Qwen-Image'
     text_encoder = generic.load_text_encoder(repo_te, cls_name=transformers.Qwen2_5_VLForConditionalGeneration, load_config=diffusers_load_config)
 
-    # NunchakuQwenImagePipeline
+    repo_id = qwen.check_qwen_pruning(repo_id)
     pipe = cls_name.from_pretrained(
         repo_id,
         transformer=transformer,
         text_encoder=text_encoder,
+        subfolder=repo_subfolder,
         cache_dir=shared.opts.diffusers_dir,
         **load_args,
     )
diff --git a/pipelines/qwen/__init__.py b/pipelines/qwen/__init__.py
new file mode 100644
index 000000000..e1455f988
--- /dev/null
+++ b/pipelines/qwen/__init__.py
@@ -0,0 +1,2 @@
+from pipelines.qwen.qwen_nunchaku import load_qwen_nunchaku
+from pipelines.qwen.qwen_pruning import check_qwen_pruning
diff --git a/pipelines/qwen/qwen_nunchaku.py b/pipelines/qwen/qwen_nunchaku.py
index 7c689c7a3..4c89b7b1c 100644
--- a/pipelines/qwen/qwen_nunchaku.py
+++ b/pipelines/qwen/qwen_nunchaku.py
@@ -11,7 +11,9 @@ def load_qwen_nunchaku(repo_id):
     except Exception:
         shared.log.error(f'Load module: quant=Nunchaku module=transformer repo="{repo_id}" low nunchaku version')
         return None
-    if repo_id.lower().endswith('qwen-image'):
+    if 'pruning' in repo_id.lower() or 'distill' in repo_id.lower():
+        return None
+    elif repo_id.lower().endswith('qwen-image'):
         nunchaku_repo = f"nunchaku-tech/nunchaku-qwen-image/svdq-{nunchaku_precision}_r128-qwen-image.safetensors" # r32 vs r128
     elif repo_id.lower().endswith('qwen-lightning'):
         nunchaku_repo = f"nunchaku-tech/nunchaku-qwen-image/svdq-{nunchaku_precision}_r128-qwen-image-lightningv1.1-8steps.safetensors" # 8-step variant
diff --git a/pipelines/qwen/qwen_pruning.py b/pipelines/qwen/qwen_pruning.py
new file mode 100644
index 000000000..971589958
--- /dev/null
+++ b/pipelines/qwen/qwen_pruning.py
@@ -0,0 +1,12 @@
+def check_qwen_pruning(repo_id):
+    from modules.shared import log
+    if 'pruning' not in repo_id.lower():
+        return repo_id
+    if '2509' in repo_id:
+        repo_id = "Qwen/Qwen-Image-Edit-2509"
+    elif 'Edit' in repo_id:
+        repo_id = "Qwen/Qwen-Image-Edit"
+    else:
+        repo_id = "Qwen/Qwen-Image"
+    log.debug(f'Load model: variant=pruning target="{repo_id}"')
+    return repo_id
diff --git a/wiki b/wiki
index f274489e4..dfcb801c5 160000
--- a/wiki
+++ b/wiki
@@ -1 +1 @@
-Subproject commit f274489e42b97b57ea91b9e94087b8b39820a4ee
+Subproject commit dfcb801c592a493d48b7e22a0a46ab39340fd021