add 1

docs/source/en/_toctree.yml

@@ -353,6 +353,8 @@
         title: Flux2Transformer2DModel
       - local: api/models/flux_transformer
         title: FluxTransformer2DModel
+      - local: api/models/glm_image_transformer2d
+        title: GlmImageDecoderTransformer2DModel
       - local: api/models/hidream_image_transformer
         title: HiDreamImageTransformer2DModel
       - local: api/models/hunyuan_transformer2d
@@ -541,6 +543,8 @@
         title: Flux2
       - local: api/pipelines/control_flux_inpaint
         title: FluxControlInpaint
+      - local: api/pipelines/glm_image
+        title: GLM-Image
       - local: api/pipelines/hidream
         title: HiDream-I1
       - local: api/pipelines/hunyuandit

src/diffusers/pipelines/auto_pipeline.py

@@ -24,7 +24,6 @@ from .aura_flow import AuraFlowPipeline
 from .chroma import ChromaPipeline
 from .cogview3 import CogView3PlusPipeline
 from .cogview4 import CogView4ControlPipeline, CogView4Pipeline
-from .glm_image import GlmImageDecoderPipeline
 from .controlnet import (
     StableDiffusionControlNetImg2ImgPipeline,
     StableDiffusionControlNetInpaintPipeline,
@@ -53,6 +52,7 @@ from .flux import (
     FluxKontextPipeline,
     FluxPipeline,
 )
+from .glm_image import GlmImageDecoderPipeline
 from .hunyuandit import HunyuanDiTPipeline
 from .kandinsky import (
     KandinskyCombinedPipeline,

src/diffusers/utils/dummy_pt_objects.py

@@ -967,6 +967,21 @@ class HiDreamImageTransformer2DModel(metaclass=DummyObject):
         requires_backends(cls, ["torch"])
 
 
+class GlmImageDecoderTransformer2DModel(metaclass=DummyObject):
+    _backends = ["torch"]
+
+    def __init__(self, *args, **kwargs):
+        requires_backends(self, ["torch"])
+
+    @classmethod
+    def from_config(cls, *args, **kwargs):
+        requires_backends(cls, ["torch"])
+
+    @classmethod
+    def from_pretrained(cls, *args, **kwargs):
+        requires_backends(cls, ["torch"])
+
+
 class HunyuanDiT2DControlNetModel(metaclass=DummyObject):
     _backends = ["torch"]