Add SenseNova-U1.5 architecture model.

README.md

@@ -117,6 +117,7 @@ models:
   - stabilityai/stable-diffusion-3.5-controlnets
   - stabilityai/stable-diffusion-xl-base-1.0
   - stable-diffusion-v1-5/stable-diffusion-v1-5
+  - t8star/SenseNova-U1.5-Comfy
   - tori29umai/krea2-controlnet
   - tsukiyomi/krea2_raw-nvfp4
   - Wenaka/NoobAI_XL_Inpainting_ControlNet_Full
@@ -170,6 +171,8 @@ models:
   - Qwen/Qwen-Image-Edit
   - Qwen/Qwen-Image-Edit-2509
   - Qwen/Qwen-Image-Edit-2511
+  - sensenova/SenseNova-U1.5-8B-MoT
+  - sensenova/SenseNova-U1.5-8B-MoT-SFT
   - stabilityai/stable-diffusion-3.5-large
   - stabilityai/stable-diffusion-3.5-medium
   - tencent/HunyuanImage-2.1

chain_injectors/sensenova_reference_injector.py

@@ -0,0 +1,54 @@
+def inject(assembler, chain_definition, chain_items):
+    if not chain_items:
+        return
+
+    ksampler_name = chain_definition.get('ksampler_node', 'ksampler')
+
+    if ksampler_name not in assembler.node_map:
+        print(f"Warning: KSampler node '{ksampler_name}' not found for SenseNova Reference chain. Skipping.")
+        return
+
+    ksampler_id = assembler.node_map[ksampler_name]
+
+    if 'positive' not in assembler.workflow[ksampler_id]['inputs'] or 'negative' not in assembler.workflow[ksampler_id]['inputs']:
+        print(f"Warning: KSampler node '{ksampler_name}' missing positive/negative inputs. Skipping.")
+        return
+
+    current_pos_conditioning = assembler.workflow[ksampler_id]['inputs']['positive']
+    current_neg_conditioning = assembler.workflow[ksampler_id]['inputs']['negative']
+
+    ref_images_id = assembler._get_unique_id()
+    ref_images_node = assembler._get_node_template("HiDreamO1ReferenceImages")
+    
+    if 'images' in ref_images_node['inputs']:
+        del ref_images_node['inputs']['images']
+        
+    ref_images_node['inputs']['positive'] = current_pos_conditioning
+    ref_images_node['inputs']['negative'] = current_neg_conditioning
+
+    for i, img_filename in enumerate(chain_items):
+        if i >= 10:
+            break
+            
+        load_id = assembler._get_unique_id()
+        load_node = assembler._get_node_template("LoadImage")
+        load_node['inputs']['image'] = img_filename
+        load_node['_meta']['title'] = f"Load Reference Image {i+1}"
+        assembler.workflow[load_id] = load_node
+        
+        scale_id = assembler._get_unique_id()
+        scale_node = assembler._get_node_template("ImageScaleToTotalPixels")
+        scale_node['inputs']['megapixels'] = 1.0
+        scale_node['inputs']['upscale_method'] = "lanczos"
+        scale_node['inputs']['image'] = [load_id, 0]
+        scale_node['_meta']['title'] = f"Scale Reference {i+1}"
+        assembler.workflow[scale_id] = scale_node
+        
+        ref_images_node['inputs'][f'images.image_{i+1}'] = [scale_id, 0]
+
+    assembler.workflow[ref_images_id] = ref_images_node
+
+    assembler.workflow[ksampler_id]['inputs']['positive'] = [ref_images_id, 0]
+    assembler.workflow[ksampler_id]['inputs']['negative'] = [ref_images_id, 1]
+    
+    print(f"SenseNova Reference injector applied. Re-routed inputs through {min(len(chain_items), 10)} reference images.")

core/pipelines/pipeline_input_processor.py

@@ -356,6 +356,17 @@ def process_pipeline_inputs(ui_inputs: Dict[str, Any], progress: gr.Progress, wo
                 img.save(temp_path, "PNG")
                 temp_files_to_clean.append(temp_path)
                 active_hidream_o1_reference.append(os.path.basename(temp_path))
+
+    sensenova_reference_data = ui_inputs.get('sensenova_reference_data', [])
+    active_sensenova_reference = []
+    if 'sensenova_reference' in enabled_chains and sensenova_reference_data:
+        for img in sensenova_reference_data:
+            if img:
+                if not os.path.exists(INPUT_DIR): os.makedirs(INPUT_DIR)
+                temp_path = os.path.join(INPUT_DIR, f"temp_sn_ref_{random.randint(1000, 9999)}.png")
+                img.save(temp_path, "PNG")
+                temp_files_to_clean.append(temp_path)
+                active_sensenova_reference.append(os.path.basename(temp_path))
             
     joyai_reference_data = ui_inputs.get('joyai_reference_data', [])
     active_joyai_reference = []
@@ -470,6 +481,7 @@ def process_pipeline_inputs(ui_inputs: Dict[str, Any], progress: gr.Progress, wo
         "active_styles": active_styles,
         "active_reference_latents": active_reference_latents,
         "active_hidream_o1_reference": active_hidream_o1_reference,
+        "active_sensenova_reference": active_sensenova_reference,
         "active_joyai_reference": active_joyai_reference,
         "active_krea2_identity_edit": active_krea2_identity_edit,
         "active_krea2_reference_edit": active_krea2_reference_edit,

core/pipelines/sd_image_pipeline.py

@@ -115,6 +115,7 @@ class SdImagePipeline(BasePipeline):
             active_styles = processed["active_styles"]
             active_reference_latents = processed["active_reference_latents"]
             active_hidream_o1_reference = processed["active_hidream_o1_reference"]
+            active_sensenova_reference = processed.get("active_sensenova_reference", [])
             active_joyai_reference = processed.get("active_joyai_reference", [])
             active_krea2_identity_edit = processed.get("active_krea2_identity_edit", [])
             active_krea2_reference_edit = processed.get("active_krea2_reference_edit", [])
@@ -176,6 +177,7 @@ class SdImagePipeline(BasePipeline):
                 "conditioning_chain": active_conditioning,
                 "reference_latent_chain": active_reference_latents,
                 "hidream_o1_reference_chain": active_hidream_o1_reference,
+                "sensenova_reference_chain": active_sensenova_reference,
                 "joyai_image_chain": active_joyai_reference,
                 "krea2_identity_edit_chain": active_krea2_identity_edit,
                 "krea2_style_reference_chain": active_krea2_reference_edit,

core/pipelines/workflow_recipes/_partials/conditioning/sensenova-u1.5.yaml

@@ -0,0 +1,69 @@
+nodes:
+  pos_prompt:
+    class_type: CLIPTextEncode
+    title: "CLIP Text Encode (Positive)"
+  neg_prompt:
+    class_type: CLIPTextEncode
+    title: "CLIP Text Encode (Negative)"
+  ckpt_loader:
+    class_type: CheckpointLoaderSimple
+    title: "Load Checkpoint"
+  sensenova_sampling:
+    class_type: SenseNovaSamplingOptions
+    title: "SenseNovaSamplingOptions"
+    params:
+      shift: 3
+
+connections:
+  - from: "ckpt_loader:0"
+    to: "sensenova_sampling:model"
+  - from: "sensenova_sampling:0"
+    to: "ksampler:model"
+  
+  - from: "ckpt_loader:1"
+    to: "pos_prompt:clip"
+  - from: "ckpt_loader:1"
+    to: "neg_prompt:clip"
+  - from: "pos_prompt:0"
+    to: "ksampler:positive"
+  - from: "neg_prompt:0"
+    to: "ksampler:negative"
+    
+  - from: "ckpt_loader:2"
+    to: "vae_decode:vae"
+  - from: "ckpt_loader:2"
+    to: "vae_encode:vae"
+
+dynamic_vae_chains:
+  vae_chain:
+    targets:
+      - "vae_decode:vae"
+      - "vae_encode:vae"
+
+dynamic_lora_chains:
+  lora_chain:
+    template: "LoraLoader"
+    start: "ckpt_loader" 
+    output_map:
+      "0": "model" 
+      "1": "clip"  
+    input_map:
+      "model": "model"
+      "clip": "clip"
+    end_input_map:
+      "model": ["sensenova_sampling:model"]
+      "clip": ["pos_prompt:clip", "neg_prompt:clip"]
+
+dynamic_conditioning_chains:
+  conditioning_chain:
+    ksampler_node: "ksampler"
+    clip_source: "ckpt_loader:1"
+
+dynamic_sensenova_reference_chains:
+  sensenova_reference_chain:
+    ksampler_node: "ksampler"
+
+ui_map:
+  positive_prompt: "pos_prompt:text"
+  negative_prompt: "neg_prompt:text"
+  model_name: "ckpt_loader:ckpt_name"

mcp_tools/common.py

@@ -450,6 +450,7 @@ def _execute_imagegen_pipeline(task_id: str, params: dict):
             boogu_edit_data = []
             qwen_image_edit_data = []
             hidream_o1_reference_data = []
+            sensenova_reference_data = []
             cond_prompts = []
             cond_widths = []
             cond_heights = []
@@ -702,6 +703,10 @@ def _execute_imagegen_pipeline(task_id: str, params: dict):
                     img = _parse_image_param(item.get("image"))
                     if img:
                         hidream_o1_reference_data.append(img)
+                elif itype == "sensenova_reference":
+                    img = _parse_image_param(item.get("image"))
+                    if img:
+                        sensenova_reference_data.append(img)
                 elif itype == "vae":
                     v_source = item.get("source", item.get("vae_source", "Civitai"))
                     v_val = item.get("vae_value", item.get("value", item.get("vae_id", item.get("vae_name", ""))))
@@ -755,6 +760,7 @@ def _execute_imagegen_pipeline(task_id: str, params: dict):
             if boogu_edit_data: ui_inputs["boogu_edit_data"] = boogu_edit_data
             if qwen_image_edit_data: ui_inputs["qwen_image_edit_data"] = qwen_image_edit_data
             if hidream_o1_reference_data: ui_inputs["hidream_o1_reference_data"] = hidream_o1_reference_data
+            if sensenova_reference_data: ui_inputs["sensenova_reference_data"] = sensenova_reference_data
             if cond_prompts:
                 ui_inputs["conditioning_data"] = (
                     cond_prompts + cond_widths + cond_heights + cond_xs + cond_ys + cond_strengths

requirements.txt

@@ -1,5 +1,5 @@
-comfyui-frontend-package==1.49.6
-comfyui-workflow-templates==0.11.44
+comfyui-frontend-package==1.51.9
+comfyui-workflow-templates==0.11.50
 comfyui-embedded-docs==0.5.10
 torch
 torchsde
@@ -21,9 +21,9 @@ psutil
 alembic
 SQLAlchemy>=2.0.0
 filelock
-av>=16.0.0
+av>=17.0.0
 comfy-kitchen==0.2.31
-comfy-aimdo==0.4.13
+comfy-aimdo==0.4.15
 requests
 simpleeval>=1.0.0
 blake3

ui/events/chain_handlers.py

@@ -715,6 +715,39 @@ def create_hidream_o1_reference_event_handlers(prefix, ui_components):
     del_button.click(fn=del_ref_row, inputs=[count_state], outputs=del_outputs, show_progress=False)
 
 
+def create_sensenova_reference_event_handlers(prefix, ui_components):
+    ref_rows = ui_components.get(f'sensenova_reference_rows_{prefix}')
+    if not ref_rows: return
+    count_state = ui_components[f'sensenova_reference_count_state_{prefix}']
+    add_button = ui_components[f'add_sensenova_reference_button_{prefix}']
+    del_button = ui_components[f'delete_sensenova_reference_button_{prefix}']
+    images = ui_components[f'sensenova_reference_images_{prefix}']
+
+    def add_ref_row(c):
+        c += 1
+        return {
+            count_state: c,
+            ref_rows[c - 1]: gr.update(visible=True),
+            add_button: gr.update(visible=c < 10),
+            del_button: gr.update(visible=True),
+        }
+
+    def del_ref_row(c):
+        c -= 1
+        return {
+            count_state: c,
+            ref_rows[c]: gr.update(visible=False),
+            images[c]: None,
+            add_button: gr.update(visible=True),
+            del_button: gr.update(visible=c > 0),
+        }
+
+    add_outputs = [count_state, add_button, del_button] + ref_rows
+    del_outputs = [count_state, add_button, del_button] + ref_rows + images
+    add_button.click(fn=add_ref_row, inputs=[count_state], outputs=add_outputs, show_progress=False)
+    del_button.click(fn=del_ref_row, inputs=[count_state], outputs=del_outputs, show_progress=False)
+
+
 def create_joyai_reference_event_handlers(prefix, ui_components):
     ref_rows = ui_components.get(f'joyai_reference_rows_{prefix}')
     if not ref_rows: return

ui/events/change_handlers.py

@@ -18,7 +18,7 @@ from .config_loaders import (
     load_ipadapter_config
 )
 
-def make_update_fn(m_comp, cat_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, krea2_cn_types, krea2_cn_series, krea2_cn_filepaths, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, krea2_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, hidream_o1_ref_acc, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, pid_acc=None, vae_acc=None, joyai_ref_acc=None, krea2_identity_edit_acc=None, krea2_reference_edit_acc=None, qwen_image_edit_acc=None, boogu_edit_acc=None, ref_img_acc=None, task_type=None, type_comp=None):
+def make_update_fn(m_comp, cat_comp, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, krea2_cn_types, krea2_cn_series, krea2_cn_filepaths, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, krea2_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, hidream_o1_ref_acc, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, pid_acc=None, vae_acc=None, joyai_ref_acc=None, krea2_identity_edit_acc=None, krea2_reference_edit_acc=None, qwen_image_edit_acc=None, boogu_edit_acc=None, ref_img_acc=None, sensenova_ref_acc=None, task_type=None, type_comp=None):
     def update_fn(*args):
         arch = args[0]
         category = args[1]
@@ -82,6 +82,7 @@ def make_update_fn(m_comp, cat_comp, ar_comp, width_comp, height_comp, cn_types,
         if cond_acc: updates[cond_acc] = gr.update(visible=('conditioning' in enabled_chains))
         if ref_latent_acc: updates[ref_latent_acc] = gr.update(visible=('reference_latent' in enabled_chains))
         if hidream_o1_ref_acc: updates[hidream_o1_ref_acc] = gr.update(visible=('hidream_o1_reference' in enabled_chains))
+        if sensenova_ref_acc: updates[sensenova_ref_acc] = gr.update(visible=('sensenova_reference' in enabled_chains))
         if joyai_ref_acc: updates[joyai_ref_acc] = gr.update(visible=('joyai_image' in enabled_chains))
         if krea2_identity_edit_acc: updates[krea2_identity_edit_acc] = gr.update(visible=('krea2_identity_edit' in enabled_chains))
         if krea2_reference_edit_acc: updates[krea2_reference_edit_acc] = gr.update(visible=('krea2_style_reference' in enabled_chains))
@@ -157,7 +158,7 @@ def make_update_fn(m_comp, cat_comp, ar_comp, width_comp, height_comp, cn_types,
     return update_fn
 
 
-def make_model_change_fn(cat_comp_ref, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, krea2_cn_types, krea2_cn_series, krea2_cn_filepaths, arch_comp_ref, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, krea2_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, hidream_o1_ref_acc, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, pid_acc=None, vae_acc=None, joyai_ref_acc=None, krea2_identity_edit_acc=None, krea2_reference_edit_acc=None, qwen_image_edit_acc=None, boogu_edit_acc=None, ref_img_acc=None, task_type=None, type_comp=None):
+def make_model_change_fn(cat_comp_ref, ar_comp, width_comp, height_comp, cn_types, cn_series, cn_filepaths, anima_cn_types, anima_cn_series, anima_cn_filepaths, diffsynth_cn_types, diffsynth_cn_series, diffsynth_cn_filepaths, krea2_cn_types, krea2_cn_series, krea2_cn_filepaths, arch_comp_ref, ipa_preset, lora_acc, cn_acc, anima_cn_acc, diffsynth_cn_acc, krea2_cn_acc, ipa_acc, sd3_ipa_acc, flux1_ipa_acc, style_acc, embed_acc, cond_acc, ref_latent_acc, hidream_o1_ref_acc, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp, pid_acc=None, vae_acc=None, joyai_ref_acc=None, krea2_identity_edit_acc=None, krea2_reference_edit_acc=None, qwen_image_edit_acc=None, boogu_edit_acc=None, ref_img_acc=None, sensenova_ref_acc=None, task_type=None, type_comp=None):
     def change_fn(*args):
         model_name = args[0]
         idx = 1
@@ -229,6 +230,7 @@ def make_model_change_fn(cat_comp_ref, ar_comp, width_comp, height_comp, cn_type
         if cond_acc: updates[cond_acc] = gr.update(visible=('conditioning' in enabled_chains))
         if ref_latent_acc: updates[ref_latent_acc] = gr.update(visible=('reference_latent' in enabled_chains))
         if hidream_o1_ref_acc: updates[hidream_o1_ref_acc] = gr.update(visible=('hidream_o1_reference' in enabled_chains))
+        if sensenova_ref_acc: updates[sensenova_ref_acc] = gr.update(visible=('sensenova_reference' in enabled_chains))
         if joyai_ref_acc: updates[joyai_ref_acc] = gr.update(visible=('joyai_image' in enabled_chains))
         if krea2_identity_edit_acc: updates[krea2_identity_edit_acc] = gr.update(visible=('krea2_identity_edit' in enabled_chains))
         if krea2_reference_edit_acc: updates[krea2_reference_edit_acc] = gr.update(visible=('krea2_style_reference' in enabled_chains))

ui/events/main.py

@@ -13,6 +13,7 @@ from .chain_handlers import (
     create_style_event_handlers,
     create_reference_latent_event_handlers,
     create_hidream_o1_reference_event_handlers,
+    create_sensenova_reference_event_handlers,
     create_joyai_reference_event_handlers,
     create_krea2_identity_edit_event_handlers,
     create_krea2_reference_edit_event_handlers,
@@ -72,6 +73,7 @@ def attach_event_handlers(ui_components, demo):
         conditioning_accordion = ui_components.get(f'conditioning_accordion_{prefix}')
         ref_latent_accordion = ui_components.get(f'reference_latent_accordion_{prefix}')
         hidream_o1_ref_accordion = ui_components.get(f'hidream_o1_reference_accordion_{prefix}')
+        sensenova_ref_accordion = ui_components.get(f'sensenova_reference_accordion_{prefix}')
         joyai_ref_accordion = ui_components.get(f'joyai_reference_accordion_{prefix}')
         krea2_identity_edit_accordion = ui_components.get(f'krea2_identity_edit_accordion_{prefix}')
         krea2_reference_edit_accordion = ui_components.get(f'krea2_reference_edit_accordion_{prefix}')
@@ -113,6 +115,7 @@ def attach_event_handlers(ui_components, demo):
             if conditioning_accordion: outputs.append(conditioning_accordion)
             if ref_latent_accordion: outputs.append(ref_latent_accordion)
             if hidream_o1_ref_accordion: outputs.append(hidream_o1_ref_accordion)
+            if sensenova_ref_accordion: outputs.append(sensenova_ref_accordion)
             if joyai_ref_accordion: outputs.append(joyai_ref_accordion)
             if krea2_identity_edit_accordion: outputs.append(krea2_identity_edit_accordion)
             if krea2_reference_edit_accordion: outputs.append(krea2_reference_edit_accordion)
@@ -133,7 +136,7 @@ def attach_event_handlers(ui_components, demo):
                 krea2_cn_types_list, krea2_cn_series_list, krea2_cn_filepaths_list,
                 ipa_preset_list, lora_accordion, cn_accordion, anima_cn_accordion, diffsynth_cn_accordion, krea2_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
                 ref_latent_accordion, hidream_o1_ref_accordion, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp,
-                pid_acc=pid_accordion, vae_acc=vae_accordion, joyai_ref_acc=joyai_ref_accordion, krea2_identity_edit_acc=krea2_identity_edit_accordion, krea2_reference_edit_acc=krea2_reference_edit_accordion, qwen_image_edit_acc=qwen_image_edit_accordion, boogu_edit_acc=boogu_edit_accordion, ref_img_acc=ref_img_accordion,
+                pid_acc=pid_accordion, vae_acc=vae_accordion, joyai_ref_acc=joyai_ref_accordion, krea2_identity_edit_acc=krea2_identity_edit_accordion, krea2_reference_edit_acc=krea2_reference_edit_accordion, qwen_image_edit_acc=qwen_image_edit_accordion, boogu_edit_acc=boogu_edit_accordion, ref_img_acc=ref_img_accordion, sensenova_ref_acc=sensenova_ref_accordion,
                 task_type=task_type, type_comp=type_comp
             )
             inputs = [arch_comp, cat_comp]
@@ -166,6 +169,7 @@ def attach_event_handlers(ui_components, demo):
             if conditioning_accordion: outputs2.append(conditioning_accordion)
             if ref_latent_accordion: outputs2.append(ref_latent_accordion)
             if hidream_o1_ref_accordion: outputs2.append(hidream_o1_ref_accordion)
+            if sensenova_ref_accordion: outputs2.append(sensenova_ref_accordion)
             if joyai_ref_accordion: outputs2.append(joyai_ref_accordion)
             if krea2_identity_edit_accordion: outputs2.append(krea2_identity_edit_accordion)
             if krea2_reference_edit_accordion: outputs2.append(krea2_reference_edit_accordion)
@@ -191,7 +195,7 @@ def attach_event_handlers(ui_components, demo):
                     krea2_cn_types_list, krea2_cn_series_list, krea2_cn_filepaths_list,
                     arch_comp, ipa_preset_list, lora_accordion, cn_accordion, anima_cn_accordion, diffsynth_cn_accordion, krea2_cn_accordion, ipa_accordion, sd3_ipa_accordion, flux1_ipa_accordion, style_accordion, embedding_accordion, conditioning_accordion,
                     ref_latent_accordion, hidream_o1_ref_accordion, prompt_comp, neg_prompt_comp, steps_comp, cfg_comp, sampler_comp, scheduler_comp,
-                    pid_acc=pid_accordion, vae_acc=vae_accordion, joyai_ref_acc=joyai_ref_accordion, krea2_identity_edit_acc=krea2_identity_edit_accordion, krea2_reference_edit_acc=krea2_reference_edit_accordion, qwen_image_edit_acc=qwen_image_edit_accordion, boogu_edit_acc=boogu_edit_accordion, ref_img_acc=ref_img_accordion,
+                    pid_acc=pid_accordion, vae_acc=vae_accordion, joyai_ref_acc=joyai_ref_accordion, krea2_identity_edit_acc=krea2_identity_edit_accordion, krea2_reference_edit_acc=krea2_reference_edit_accordion, qwen_image_edit_acc=qwen_image_edit_accordion, boogu_edit_acc=boogu_edit_accordion, ref_img_acc=ref_img_accordion, sensenova_ref_acc=sensenova_ref_accordion,
                     task_type=task_type, type_comp=type_comp
                 )
                 if type_comp:
@@ -211,6 +215,7 @@ def attach_event_handlers(ui_components, demo):
         create_style_event_handlers(prefix, ui_components)
         create_reference_latent_event_handlers(prefix, ui_components)
         create_hidream_o1_reference_event_handlers(prefix, ui_components)
+        create_sensenova_reference_event_handlers(prefix, ui_components)
         create_joyai_reference_event_handlers(prefix, ui_components)
         create_krea2_identity_edit_event_handlers(prefix, ui_components)
         create_krea2_reference_edit_event_handlers(prefix, ui_components)
@@ -280,6 +285,7 @@ def attach_event_handlers(ui_components, demo):
                 f'conditioning_accordion_{prefix}': 'conditioning',
                 f'reference_latent_accordion_{prefix}': 'reference_latent',
                 f'hidream_o1_reference_accordion_{prefix}': 'hidream_o1_reference',
+                f'sensenova_reference_accordion_{prefix}': 'sensenova_reference',
                 f'joyai_reference_accordion_{prefix}': 'joyai_image',
                 f'krea2_identity_edit_accordion_{prefix}': 'krea2_identity_edit',
                 f'krea2_reference_edit_accordion_{prefix}': 'krea2_style_reference',
@@ -320,7 +326,7 @@ def attach_event_handlers(ui_components, demo):
             'sd3_ipadapter_accordion_imagegen', 'flux1_ipadapter_accordion_imagegen',
             'style_accordion_imagegen', 'embedding_accordion_imagegen',
             'conditioning_accordion_imagegen', 'reference_latent_accordion_imagegen',
-            'hidream_o1_reference_accordion_imagegen', 'joyai_reference_accordion_imagegen',
+            'hidream_o1_reference_accordion_imagegen', 'sensenova_reference_accordion_imagegen', 'joyai_reference_accordion_imagegen',
             'krea2_identity_edit_accordion_imagegen', 'krea2_reference_edit_accordion_imagegen',
             'qwen_image_edit_accordion_imagegen', 'boogu_edit_accordion_imagegen',
             'reference_image_accordion_imagegen', 'pid_accordion_imagegen', 'vae_accordion_imagegen',

ui/events/run_handlers.py

@@ -82,6 +82,7 @@ def create_run_event(prefix: str, task_type: str = None, ui_components: dict = N
     conditioning_data_components = ui_components.get(f'all_conditioning_components_flat_{prefix}', [])
     reference_latent_data_components = ui_components.get(f'all_reference_latent_components_flat_{prefix}', [])
     hidream_o1_reference_data_components = ui_components.get(f'all_hidream_o1_reference_components_flat_{prefix}', [])
+    sensenova_reference_data_components = ui_components.get(f'all_sensenova_reference_components_flat_{prefix}', [])
     joyai_reference_data_components = ui_components.get(f'all_joyai_reference_components_flat_{prefix}', [])
     krea2_identity_edit_data_components = ui_components.get(f'all_krea2_identity_edit_components_flat_{prefix}', [])
     krea2_reference_edit_data_components = ui_components.get(f'all_krea2_reference_edit_components_flat_{prefix}', [])
@@ -98,7 +99,7 @@ def create_run_event(prefix: str, task_type: str = None, ui_components: dict = N
     all_chains = [
         lora_data_components, controlnet_data_components, anima_controlnet_lllite_data_components, diffsynth_controlnet_data_components, krea2_controlnet_data_components, ipadapter_data_components,
         sd3_ipadapter_data_components, flux1_ipadapter_data_components, style_data_components,
-        embedding_data_components, conditioning_data_components, reference_latent_data_components, hidream_o1_reference_data_components, joyai_reference_data_components, krea2_identity_edit_data_components, krea2_reference_edit_data_components, qwen_image_edit_data_components, boogu_edit_data_components, reference_image_data_components
+        embedding_data_components, conditioning_data_components, reference_latent_data_components, hidream_o1_reference_data_components, sensenova_reference_data_components, joyai_reference_data_components, krea2_identity_edit_data_components, krea2_reference_edit_data_components, qwen_image_edit_data_components, boogu_edit_data_components, reference_image_data_components
     ]
     for chain in all_chains:
         if chain:
@@ -128,6 +129,7 @@ def create_run_event(prefix: str, task_type: str = None, ui_components: dict = N
         assign_chain_data('conditioning_data', conditioning_data_components)
         assign_chain_data('reference_latent_data', reference_latent_data_components)
         assign_chain_data('hidream_o1_reference_data', hidream_o1_reference_data_components)
+        assign_chain_data('sensenova_reference_data', sensenova_reference_data_components)
         assign_chain_data('joyai_reference_data', joyai_reference_data_components)
         assign_chain_data('krea2_identity_edit_data', krea2_identity_edit_data_components)
         assign_chain_data('krea2_reference_edit_data', krea2_reference_edit_data_components)

ui/imagegen_ui.py

@@ -8,7 +8,7 @@ from .shared.ui_components import (
     create_conditioning_ui, create_vae_override_ui,
     create_model_architecture_filter_ui, create_category_filter_ui,
     create_sd3_ipadapter_ui, create_flux1_ipadapter_ui, create_style_ui,
-    create_reference_latent_ui, create_hidream_o1_reference_ui, create_joyai_reference_ui, create_reference_image_ui, create_krea2_identity_edit_ui, create_krea2_reference_edit_ui, create_qwen_image_edit_ui, create_boogu_edit_ui,
+    create_reference_latent_ui, create_hidream_o1_reference_ui, create_sensenova_reference_ui, create_joyai_reference_ui, create_reference_image_ui, create_krea2_identity_edit_ui, create_krea2_reference_edit_ui, create_qwen_image_edit_ui, create_boogu_edit_ui,
     create_pid_ui
 )
 
@@ -184,6 +184,7 @@ def create_ui():
             components.update(create_conditioning_ui(prefix))
             components.update(create_reference_latent_ui(prefix))
             components.update(create_hidream_o1_reference_ui(prefix))
+            components.update(create_sensenova_reference_ui(prefix))
             components.update(create_joyai_reference_ui(prefix))
             components.update(create_krea2_identity_edit_ui(prefix))
             components.update(create_krea2_reference_edit_ui(prefix))

ui/shared/ui_components.py

@@ -693,6 +693,35 @@ def create_hidream_o1_reference_ui(prefix: str, max_units=10):
 
     return components
 
+def create_sensenova_reference_ui(prefix: str, max_units=10):
+    components = {}
+    key = lambda name: f"{name}_{prefix}"
+
+    with gr.Accordion("SenseNova Reference Edit Settings", open=False, visible=('sensenova_reference' in default_enabled_chains)) as ref_accordion:
+        components[key('sensenova_reference_accordion')] = ref_accordion
+        gr.Markdown("💡 **Tip:** For SenseNova models, this feature enables reference image editing and combining capabilities. In txt2img mode, adding a single reference image performs an **Image Edit**, while adding multiple images performs an **Image Combine**.")
+        
+        ref_image_groups = []
+        ref_image_inputs = []
+        with gr.Row():
+            for i in range(max_units):
+                with gr.Column(visible=(i < 1), min_width=160) as img_col:
+                    img_comp = gr.Image(type="pil", label=f"Ref. {i+1}", sources=["upload"], height=150)
+                    ref_image_groups.append(img_col)
+                    ref_image_inputs.append(img_comp)
+        
+        components[key('sensenova_reference_rows')] = ref_image_groups
+        components[key('sensenova_reference_images')] = ref_image_inputs
+
+        with gr.Row():
+            components[key('add_sensenova_reference_button')] = gr.Button("✚ Add Reference Image")
+            components[key('delete_sensenova_reference_button')] = gr.Button("➖ Delete Reference Image", visible=False)
+        components[key('sensenova_reference_count_state')] = gr.State(1)
+        
+        components[key('all_sensenova_reference_components_flat')] = ref_image_inputs
+
+    return components
+
 def create_joyai_reference_ui(prefix: str, max_units=2):
     components = {}
     key = lambda name: f"{name}_{prefix}"

yaml/chain_features.yaml

@@ -431,6 +431,21 @@ hidream_o1_reference:
     required:
       - image
 
+sensenova_reference:
+  chains: sensenova_reference
+  display_name: "SenseNova Reference Edit"
+  description: "For SenseNova models, this feature enables reference image editing and combining capabilities. In txt2img mode, adding a single reference image performs an Image Edit, while adding multiple images performs an Image Combine."
+  max_count: 10
+  usage_guideline: "Supply reference image(s) (up to 10) encoded as Base64 Data URI or HTTP/HTTPS URL. Passing a single reference image performs an Image Edit, while passing multiple images performs an Image Combine."
+  parameters_schema:
+    type: object
+    properties:
+      image:
+        type: string
+        description: "Reference image encoded as Base64 Data URI or HTTP/HTTPS URL."
+    required:
+      - image
+
 flux1_ipadapter:
   chains: flux1_ipadapter
   display_name: "Flux1 IP-Adapter"

yaml/constants.yaml

@@ -15,6 +15,14 @@ RESOLUTION_MAP:
     "3:4 (Classic Portrait)": [896, 1152]
     "3:2 (Photography)": [1216, 832]
     "2:3 (Photography Portrait)": [832, 1216]
+  sensenova-u1.5:
+    "1:1 (Square)": [1024, 1024]
+    "16:9 (Landscape)": [1344, 768]
+    "9:16 (Portrait)": [768, 1344]
+    "4:3 (Classic)": [1152, 896]
+    "3:4 (Classic Portrait)": [896, 1152]
+    "3:2 (Photography)": [1216, 832]
+    "2:3 (Photography Portrait)": [832, 1216]
   mage-flow:
     "1:1 (Square)": [1024, 1024]
     "16:9 (Landscape)": [1344, 768]
@@ -258,6 +266,7 @@ RESOLUTION_MAP:
 
 MULTIPLIERS_MAP:
   krea-2: 1
+  sensenova-u1.5: 1
   mage-flow: 1
   joyai-image: 1
   boogu-image: 1

yaml/file_list.yaml

@@ -1,5 +1,14 @@
 file: 
   checkpoints: 
+    # SenseNova-U1.5
+    - filename: "SenseNova-U1.5-8B-MoT-BF16-T8.safetensors"
+      source: "hf"
+      repo_id: "t8star/SenseNova-U1.5-Comfy"
+      repository_file_path: "SenseNova-U1.5-8B-MoT-BF16-T8.safetensors"
+    - filename: "SenseNova-U1.5-8B-MoT-SFT-T8.safetensors"
+      source: "hf"
+      repo_id: "t8star/SenseNova-U1.5-Comfy"
+      repository_file_path: "SenseNova-U1.5-8B-MoT-SFT-T8.safetensors"
     # HiDream-O1
     - filename: "hidream_o1_image_dev_fp8_scaled.safetensors"
       source: "hf"
@@ -514,6 +523,11 @@ file:
       source: "hf"
       repo_id: "lylogummy/Anima-3.8B"
       repository_file_path: "difussion_models/Anima-3.8B.safetensors"
+    # Anima-2.9B
+    - filename: "Anima-2.9B-preview-v1.safetensors"
+      source: "hf"
+      repo_id: "Gazingstars123/Anima-2.9B"
+      repository_file_path: "Anima-2.9B-preview-v1.safetensors"
     # Anima
     - filename: "anima-turbo-v1.0.safetensors"
       source: "hf"
@@ -531,10 +545,6 @@ file:
       source: "hf"
       repo_id: "diffusionmodels1254ani/waiANIMA"
       repository_file_path: "waiANIMA_v10Base10.safetensors"
-    - filename: "Anima-2.9B-preview-v1.safetensors"
-      source: "hf"
-      repo_id: "Gazingstars123/Anima-2.9B"
-      repository_file_path: "Anima-2.9B-preview-v1.safetensors"
     - filename: "AnimaYume_v10_final_base.safetensors"
       source: "hf"
       repo_id: "duongve/AnimaYume"

yaml/model_architecture_features.yaml

@@ -7,6 +7,12 @@ krea-2:
   - krea2_style_reference
   - pid
 
+sensenova-u1.5:
+  enabled_chains:
+  - lora
+  - sensenova_reference
+  - vae
+
 mage-flow:
   enabled_chains:
   - reference_image

yaml/model_architectures.yaml

@@ -1,5 +1,6 @@
 architecture_order:
   - "Krea-2"
+  - "SenseNova-U1.5"
   - "Mage-Flow"
   - "JoyAI-Image"
   - "Boogu-Image"
@@ -34,6 +35,8 @@ architecture_order:
 architectures:
   Krea-2:
     model_type: "krea-2"
+  "SenseNova-U1.5":
+    model_type: "sensenova-u1.5"
   "Mage-Flow":
     model_type: "mage-flow"
   "JoyAI-Image":

yaml/model_defaults.yaml

@@ -18,6 +18,13 @@ Krea-2:
     sampler_name: "euler"
     scheduler: "simple"
 
+SenseNova-U1.5:
+  _defaults:
+    steps: 50
+    cfg: 4.0
+    sampler_name: "euler"
+    scheduler: "normal"
+
 Mage-Flow:
   _defaults:
     steps: 30

yaml/model_list.yaml

@@ -12,6 +12,13 @@ Checkpoint:
           unet: "krea2_raw-nvfp4.safetensors"
           clip: "qwen3vl_4b_fp8_scaled.safetensors"
           vae: "qwen_image_vae.safetensors"
+  SenseNova-U1.5:
+    latent_type: hidream_o1_latent
+    models:
+      - display_name: "SenseNova-U1.5-8B-MoT"
+        path: "SenseNova-U1.5-8B-MoT-BF16-T8.safetensors"
+      - display_name: "SenseNova-U1.5-8B-MoT-SFT"
+        path: "SenseNova-U1.5-8B-MoT-SFT-T8.safetensors"
   Mage-Flow:
     latent_type: none
     models:

yaml/task_features.yaml

@@ -19,6 +19,7 @@ txt2img:
   - reference_latent
   - hidream_o1_reference
   - hidream_o1_smoothing
+  - sensenova_reference
   - joyai_image
   - krea2_identity_edit
   - krea2_style_reference
@@ -44,6 +45,7 @@ img2img:
   - reference_latent
   - hidream_o1_reference
   - hidream_o1_smoothing
+  - sensenova_reference
   - joyai_image
   - krea2_identity_edit
   - krea2_style_reference
@@ -68,6 +70,7 @@ inpaint:
   - reference_latent
   - hidream_o1_reference
   - hidream_o1_smoothing
+  - sensenova_reference
   - joyai_image
   - krea2_identity_edit
   - krea2_style_reference
@@ -92,6 +95,7 @@ outpaint:
   - reference_latent
   - hidream_o1_reference
   - hidream_o1_smoothing
+  - sensenova_reference
   - joyai_image
   - krea2_identity_edit
   - krea2_style_reference
@@ -116,6 +120,7 @@ hires_fix:
   - reference_latent
   - hidream_o1_reference
   - hidream_o1_smoothing
+  - sensenova_reference
   - joyai_image
   - krea2_identity_edit
   - krea2_style_reference