diff --git a/CHANGELOG.md b/CHANGELOG.md
index 97e85a9c4..dd56f7235 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,7 +1,10 @@
 # Change Log for SD.Next
 
-## Update for 2025-12-15
+## Update for 2025-12-16
 
+- **Models**
+  - [LongCat Image](https://github.com/meituan-longcat/LongCat-Image) in *Image* and *Image Edit* variants  
+    LongCat is a new 8B diffusion base model using Qwen-2.5 as text encoder  
 - **Features**
   - Google models support for both *Dev* and *Vertex* access methods  
     see [docs](https://vladmandic.github.io/sdnext-docs/Google-GenAI/) for details  
diff --git a/html/reference.json b/html/reference.json
index f9c08e89c..6d2405a09 100644
--- a/html/reference.json
+++ b/html/reference.json
@@ -314,6 +314,25 @@
     "date": "2025 July"
   },
 
+  "Meituan LongCat Image": {
+    "path": "meituan-longcat/LongCat-Image",
+    "preview": "meituan-longcat--LongCat-Image.jpg",
+    "desc": "Pioneering open-source and bilingual (Chinese-English) foundation model for image generation, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility prevalent in current leading models.",
+    "skip": true,
+    "extras": "",
+    "size": 27.30,
+    "date": "2025 December"
+  },
+  "Meituan LongCat Image-Edit": {
+    "path": "meituan-longcat/LongCat-Image-Edit",
+    "preview": "meituan-longcat--LongCat-Image-Edit.jpg",
+    "desc": "Pioneering open-source and bilingual (Chinese-English) foundation model for image generation, designed to address core challenges in multilingual text rendering, photorealism, deployment efficiency, and developer accessibility prevalent in current leading models.",
+    "skip": true,
+    "extras": "",
+    "size": 27.30,
+    "date": "2025 December"
+  },
+
   "Ostris Flex.2 Preview": {
     "path": "ostris/Flex.2-preview",
     "preview": "ostris--Flex.2-preview.jpg",
diff --git a/installer.py b/installer.py
index 3503e14a2..dabb2a8af 100644
--- a/installer.py
+++ b/installer.py
@@ -633,7 +633,7 @@ def check_diffusers():
     t_start = time.time()
     if args.skip_all:
         return
-    sha = '3d02cd543ef3101d821cb09c8fcab23c6e7ead33' # diffusers commit hash
+    sha = 'a748a839add5fe9f45a66e45dd93d8db0b45ce0f' # diffusers commit hash
     # if args.use_rocm or args.use_zluda or args.use_directml:
     #     sha = '043ab2520f6a19fce78e6e060a68dbc947edb9f9' # lock diffusers versions for now
     pkg = pkg_resources.working_set.by_key.get('diffusers', None)
diff --git a/modules/lora/lora_overrides.py b/modules/lora/lora_overrides.py
index 155524ae9..640181977 100644
--- a/modules/lora/lora_overrides.py
+++ b/modules/lora/lora_overrides.py
@@ -43,6 +43,7 @@ force_models_diffusers = [ # forced always
     'chrono',
     'z_image',
     'f2',
+    'longcat',
     # video models
     'hunyuanvideo',
     'hunyuanvideo15'
diff --git a/modules/modeldata.py b/modules/modeldata.py
index 6a7f7451c..1c97530b4 100644
--- a/modules/modeldata.py
+++ b/modules/modeldata.py
@@ -76,6 +76,8 @@ def get_model_type(pipe):
         model_type = 'x-omni'
     elif 'Photoroom' in name:
         model_type = 'prx'
+    elif 'LongCat' in name:
+        model_type = 'longcat'
     # video models
     elif "CogVideo" in name:
         model_type = 'cogvideo'
diff --git a/modules/sd_detect.py b/modules/sd_detect.py
index f093e9585..5f54505f5 100644
--- a/modules/sd_detect.py
+++ b/modules/sd_detect.py
@@ -139,6 +139,8 @@ def guess_by_name(fn, current_guess):
         new_guess = 'NanoBanana'
     elif 'z-image' in fn.lower() or 'z_image' in fn.lower():
         new_guess = 'Z-Image'
+    elif 'longcat-image' in fn.lower():
+        new_guess = 'LongCat'
     if debug_load:
         shared.log.trace(f'Autodetect: method=name file="{fn}" previous="{current_guess}" current="{new_guess}"')
     return new_guess or current_guess
diff --git a/modules/sd_models.py b/modules/sd_models.py
index e63203ecb..93319b90d 100644
--- a/modules/sd_models.py
+++ b/modules/sd_models.py
@@ -458,6 +458,10 @@ def load_diffuser_force(detected_model_type, checkpoint_info, diffusers_load_con
             from pipelines.model_z_image import load_z_image
             sd_model = load_z_image(checkpoint_info, diffusers_load_config)
             allow_post_quant = False
+        elif model_type in ['LongCat']:
+            from pipelines.model_longcat import load_longcat
+            sd_model = load_longcat(checkpoint_info, diffusers_load_config)
+            allow_post_quant = False
     except Exception as e:
         shared.log.error(f'Load {op}: path="{checkpoint_info.path}" {e}')
         if debug_load:
diff --git a/modules/sd_offload.py b/modules/sd_offload.py
index e521cf8c2..6c727fe04 100644
--- a/modules/sd_offload.py
+++ b/modules/sd_offload.py
@@ -14,7 +14,7 @@ from modules.timer import process as process_timer
 debug = os.environ.get('SD_MOVE_DEBUG', None) is not None
 verbose = os.environ.get('SD_MOVE_VERBOSE', None) is not None
 debug_move = log.trace if debug else lambda *args, **kwargs: None
-offload_warn = ['sc', 'sd3', 'f1', 'f2', 'h1', 'hunyuandit', 'auraflow', 'omnigen', 'omnigen2', 'cogview4', 'cosmos', 'chroma', 'x-omni', 'hunyuanimage', 'hunyuanimage3']
+offload_warn = ['sc', 'sd3', 'f1', 'f2', 'h1', 'hunyuandit', 'auraflow', 'omnigen', 'omnigen2', 'cogview4', 'cosmos', 'chroma', 'x-omni', 'hunyuanimage', 'hunyuanimage3', 'longcat']
 offload_post = ['h1']
 offload_hook_instance = None
 balanced_offload_exclude = ['CogView4Pipeline', 'MeissonicPipeline']
diff --git a/modules/sd_samplers_common.py b/modules/sd_samplers_common.py
index dfebbedc9..8089ad8e1 100644
--- a/modules/sd_samplers_common.py
+++ b/modules/sd_samplers_common.py
@@ -9,7 +9,7 @@ from modules import shared, devices, processing, images, sd_vae_approx, sd_vae_t
 
 SamplerData = namedtuple('SamplerData', ['name', 'constructor', 'aliases', 'options'])
 approximation_indexes = { "Simple": 0, "Approximate": 1, "TAESD": 2, "Full VAE": 3 }
-flow_models = ['f1', 'f2', 'sd3', 'lumina', 'auraflow', 'sana', 'z_image', 'lumina2', 'cogview4', 'h1', 'cosmos', 'chroma', 'omnigen', 'omnigen2']
+flow_models = ['f1', 'f2', 'sd3', 'lumina', 'auraflow', 'sana', 'z_image', 'lumina2', 'cogview4', 'h1', 'cosmos', 'chroma', 'omnigen', 'omnigen2', 'longcat']
 warned = False
 queue_lock = threading.Lock()
 
diff --git a/modules/sd_vae_taesd.py b/modules/sd_vae_taesd.py
index e599fe70e..1ec5b15cb 100644
--- a/modules/sd_vae_taesd.py
+++ b/modules/sd_vae_taesd.py
@@ -38,7 +38,7 @@ prev_cls = ''
 prev_type = ''
 prev_model = ''
 lock = threading.Lock()
-supported = ['sd', 'sdxl', 'sd3', 'f1', 'h1', 'z_image', 'lumina2', 'hunyuanvideo', 'wanai', 'chrono', 'mochivideo', 'pixartsigma', 'pixartalpha', 'hunyuandit', 'omnigen', 'qwen']
+supported = ['sd', 'sdxl', 'sd3', 'f1', 'h1', 'z_image', 'lumina2', 'hunyuanvideo', 'wanai', 'chrono', 'mochivideo', 'pixartsigma', 'pixartalpha', 'hunyuandit', 'omnigen', 'qwen', 'longcat']
 
 
 def warn_once(msg, variant=None):
@@ -59,7 +59,7 @@ def get_model(model_type = 'decoder', variant = None):
         model_cls = 'sd'
     elif model_cls in {'pixartsigma', 'hunyuandit', 'omnigen', 'auraflow'}:
         model_cls = 'sdxl'
-    elif model_cls in {'h1', 'z_image', 'lumina2', 'chroma'}:
+    elif model_cls in {'h1', 'z_image', 'lumina2', 'chroma', 'longcat'}:
         model_cls = 'f1'
     elif model_cls in {'wanai', 'qwen', 'chrono'}:
         variant = variant or 'TAE WanVideo'
diff --git a/modules/shared_items.py b/modules/shared_items.py
index e78a0ba40..40e3b768f 100644
--- a/modules/shared_items.py
+++ b/modules/shared_items.py
@@ -48,6 +48,7 @@ pipelines = {
     'Qwen': getattr(diffusers, 'QwenImagePipeline', None),
     'HunyuanImage': getattr(diffusers, 'HunyuanImagePipeline', None),
     'Z-Image': getattr(diffusers, 'ZImagePipeline', None),
+    'LongCat': getattr(diffusers, 'LongCatImagePipeline', None),
     # dynamically imported and redefined later
     'Meissonic': getattr(diffusers, 'DiffusionPipeline', None),
     'Monetico': getattr(diffusers, 'DiffusionPipeline', None),
diff --git a/pipelines/model_longcat.py b/pipelines/model_longcat.py
new file mode 100644
index 000000000..de103c054
--- /dev/null
+++ b/pipelines/model_longcat.py
@@ -0,0 +1,40 @@
+import transformers
+import diffusers
+from modules import shared, devices, sd_models, model_quant, sd_hijack_te
+from pipelines import generic
+
+
+def load_longcat(checkpoint_info, diffusers_load_config=None):
+    if diffusers_load_config is None:
+        diffusers_load_config = {}
+    repo_id = sd_models.path_to_repo(checkpoint_info)
+    sd_models.hf_auth_check(checkpoint_info)
+
+    load_args, _quant_args = model_quant.get_dit_args(diffusers_load_config, allow_quant=False)
+    shared.log.debug(f'Load model: type=LongCat repo="{repo_id}" config={diffusers_load_config} offload={shared.opts.diffusers_offload_mode} dtype={devices.dtype} args={diffusers_load_config}')
+
+    transformer = generic.load_transformer(repo_id, cls_name=diffusers.LongCatImageTransformer2DModel, load_config=diffusers_load_config)
+    text_encoder = generic.load_text_encoder(repo_id, cls_name=transformers.Qwen2_5_VLForConditionalGeneration, load_config=diffusers_load_config)
+    text_processor = transformers.Qwen2VLProcessor.from_pretrained(repo_id, subfolder='tokenizer', cache_dir=shared.opts.hfcache_dir)
+
+    if 'edit' in repo_id.lower():
+        cls = diffusers.LongCatImageEditPipeline
+    else:
+        cls = diffusers.LongCatImagePipeline
+
+    pipe = cls.from_pretrained(
+        repo_id,
+        cache_dir=shared.opts.diffusers_dir,
+        transformer=transformer,
+        text_encoder=text_encoder,
+        text_processor=text_processor,
+        **load_args,
+    )
+
+    del transformer
+    del text_encoder
+    del text_processor
+    sd_hijack_te.init_hijack(pipe)
+
+    devices.torch_gc(force=True, reason='load')
+    return pipe