Add Krea-2 Anythng Controlnet.

README.md

@@ -116,6 +116,7 @@ models:
   - stabilityai/stable-diffusion-3.5-controlnets
   - stabilityai/stable-diffusion-xl-base-1.0
   - stable-diffusion-v1-5/stable-diffusion-v1-5
+  - tori29umai/krea2-controlnet
   - tsukiyomi/krea2_raw-nvfp4
   - Wenaka/NoobAI_XL_Inpainting_ControlNet_Full
   - xinsir/anime-painter

app.py

@@ -2,6 +2,9 @@ import spaces
 import os
 import sys
 import site
+import gradio as gr
+
+print(f"📦 [Environment] Gradio Version: {gr.__version__}")
 
 if "--use-sage-attention" not in sys.argv:
     sys.argv.append("--use-sage-attention")
@@ -94,5 +97,5 @@ def create_app():
 demo = create_app()
 
 if __name__ == "__main__":
-    print("--- Launching Gradio Interface ---")
+    print(f"--- Launching Gradio Interface (v{gr.__version__}) ---")
     demo.queue().launch(mcp_server=True, footer_links=["api", "gradio", "settings"])

core/pipelines/pipeline_input_processor.py

@@ -65,14 +65,19 @@ def process_pipeline_inputs(ui_inputs: Dict[str, Any], progress: gr.Progress, wo
         for i, (source, lora_id, scale, _) in enumerate(zip(sources, ids, scales, files)):
             if scale > 0 and lora_id and lora_id.strip():
                 lora_filename = None
-                if source == "File":
-                    lora_filename = sanitize_filename(lora_id)
-                    local_path = os.path.join(LORA_DIR, lora_filename)
+                if source in ("Upload File", "File"):
+                    raw_id = lora_id.strip().replace('\\', '/')
+                    rel_name = raw_id if raw_id.startswith("upload_file/") else f"upload_file/{raw_id}"
+                    local_path = os.path.join(LORA_DIR, rel_name)
                     if not os.path.exists(local_path):
-                        raise gr.Error(f"Uploaded LoRA file '{lora_id}' no longer exists on server. Please re-upload it.")
+                        if os.path.exists(os.path.join(LORA_DIR, raw_id)):
+                            local_path = os.path.join(LORA_DIR, raw_id)
+                        else:
+                            raise gr.Error(f"Uploaded LoRA file '{lora_id}' no longer exists on server. Please re-upload it.")
+                    lora_filename = os.path.relpath(local_path, LORA_DIR).replace('\\', '/')
                 elif source in ("Civitai", "Hugging Face"):
                     local_path, status = get_lora_path(source, lora_id, os.environ.get("CIVITAI_API_KEY", ""), progress)
-                    if local_path: lora_filename = os.path.basename(local_path)
+                    if local_path: lora_filename = os.path.relpath(local_path, LORA_DIR).replace('\\', '/')
                     else: raise gr.Error(f"Failed to prepare LoRA {lora_id}: {status}")
                 
                 if lora_filename:
@@ -151,24 +156,18 @@ def process_pipeline_inputs(ui_inputs: Dict[str, Any], progress: gr.Progress, wo
         temp_files_to_clean.append(temp_file_path)
 
     embedding_data = ui_inputs.get('embedding_data', [])
-    embedding_filenames = []
     if 'embedding' in enabled_chains and embedding_data:
         emb_sources, emb_ids, emb_files = embedding_data[0::3], embedding_data[1::3], embedding_data[2::3]
         for i, (source, emb_id, _) in enumerate(zip(emb_sources, emb_ids, emb_files)):
             if emb_id and emb_id.strip():
-                emb_filename = None
-                if source == "File":
-                    emb_filename = sanitize_filename(emb_id)
-                    local_path = os.path.join(EMBEDDING_DIR, emb_filename)
-                    if not os.path.exists(local_path):
-                        raise gr.Error(f"Uploaded Embedding file '{emb_id}' no longer exists on server. Please re-upload it.")
-                elif source in ("Civitai", "Hugging Face"):
+                if source in ("Civitai", "Hugging Face"):
                     local_path, status = get_embedding_path(source, emb_id, os.environ.get("CIVITAI_API_KEY", ""), progress)
-                    if local_path: emb_filename = os.path.basename(local_path)
-                    else: raise gr.Error(f"Failed to prepare Embedding {emb_id}: {status}")
-                
-                if emb_filename:
-                    embedding_filenames.append(emb_filename)
+                    if not local_path:
+                        raise gr.Error(f"Failed to prepare Embedding {emb_id}: {status}")
+                elif source in ("Upload File", "File"):
+                    # Uploaded file is already stored in models/embeddings/upload_file/.
+                    # Embeddings are triggered directly via prompt (e.g. embedding:upload_file/<filename>).
+                    pass
 
     controlnet_data = ui_inputs.get('controlnet_data', [])
     active_controlnets = []
@@ -427,16 +426,22 @@ def process_pipeline_inputs(ui_inputs: Dict[str, Any], progress: gr.Progress, wo
     vae_source = ui_inputs.get('vae_source')
     vae_id = ui_inputs.get('vae_id')
     vae_name_override = None
-    if 'vae' in enabled_chains and vae_source and vae_source != "None":
-        if vae_source == "File":
-            vae_name_override = sanitize_filename(vae_id)
-            local_path = os.path.join(VAE_DIR, vae_name_override)
+    if 'vae' in enabled_chains and vae_source and vae_id and str(vae_id).strip():
+        vae_id_clean = str(vae_id).strip()
+        if vae_source in ("Upload File", "File"):
+            raw_id = vae_id_clean.replace('\\', '/')
+            rel_name = raw_id if raw_id.startswith("upload_file/") else f"upload_file/{raw_id}"
+            local_path = os.path.join(VAE_DIR, rel_name)
             if not os.path.exists(local_path):
-                raise gr.Error(f"Uploaded VAE file '{vae_id}' no longer exists on server. Please re-upload it.")
-        elif vae_source in ("Civitai", "Hugging Face") and vae_id and vae_id.strip():
-            local_path, status = get_vae_path(vae_source, vae_id, os.environ.get("CIVITAI_API_KEY", ""), progress)
-            if local_path: vae_name_override = os.path.basename(local_path)
-            else: raise gr.Error(f"Failed to prepare VAE {vae_id}: {status}")
+                if os.path.exists(os.path.join(VAE_DIR, raw_id)):
+                    local_path = os.path.join(VAE_DIR, raw_id)
+                else:
+                    raise gr.Error(f"Uploaded VAE file '{vae_id_clean}' no longer exists on server. Please re-upload it.")
+            vae_name_override = os.path.relpath(local_path, VAE_DIR).replace('\\', '/')
+        elif vae_source in ("Civitai", "Hugging Face"):
+            local_path, status = get_vae_path(vae_source, vae_id_clean, os.environ.get("CIVITAI_API_KEY", ""), progress)
+            if local_path: vae_name_override = os.path.relpath(local_path, VAE_DIR).replace('\\', '/')
+            else: raise gr.Error(f"Failed to prepare VAE {vae_id_clean}: {status}")
     if vae_name_override:
         ui_inputs['vae_name'] = vae_name_override
 

core/settings.py

@@ -198,7 +198,7 @@ try:
     MAX_CONDITIONINGS = _constants.get('MAX_CONDITIONINGS', 10)
     MAX_CONTROLNETS = _constants.get('MAX_CONTROLNETS', 5)
     MAX_IPADAPTERS = _constants.get('MAX_IPADAPTERS', 5)
-    LORA_SOURCE_CHOICES = _constants.get('LORA_SOURCE_CHOICES', ["Civitai", "File"])
+    LORA_SOURCE_CHOICES = _constants.get('LORA_SOURCE_CHOICES', ["Civitai", "Hugging Face", "Upload File"])
     RESOLUTION_MAP = _constants.get('RESOLUTION_MAP', {})
     MULTIPLIERS_MAP = _constants.get('MULTIPLIERS_MAP', {})
     ARCHITECTURES_CONFIG = load_architectures_config()
@@ -208,7 +208,7 @@ try:
 except Exception as e:
     print(f"FATAL: Could not load constants from YAML. Error: {e}")
     MAX_LORAS, MAX_EMBEDDINGS, MAX_CONDITIONINGS, MAX_CONTROLNETS, MAX_IPADAPTERS = 5, 5, 10, 5, 5
-    LORA_SOURCE_CHOICES = ["Civitai", "File"]
+    LORA_SOURCE_CHOICES = ["Civitai", "Hugging Face", "Upload File"]
     RESOLUTION_MAP = {}
     MULTIPLIERS_MAP = {}
     ARCHITECTURES_CONFIG = {}

ui/events/chain_handlers.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from core.settings import VAE_DIR, LORA_DIR, EMBEDDING_DIR, ARCHITECTURES_CONFIG
-from utils.app_utils import save_uploaded_file_with_hash
+from utils.app_utils import save_uploaded_file
 from ui.shared.ui_components import (
     MAX_CONTROLNETS,
     MAX_IPADAPTERS,
@@ -20,24 +20,24 @@ def on_vae_upload(file_obj):
     if not file_obj:
         return gr.update(), gr.update(), None
     
-    hashed_filename = save_uploaded_file_with_hash(file_obj, VAE_DIR)
-    return hashed_filename, "File", file_obj
+    uploaded_filename = save_uploaded_file(file_obj, VAE_DIR)
+    return uploaded_filename, "Upload File", file_obj
 
 
 def on_lora_upload(file_obj):
     if not file_obj:
         return gr.update(), gr.update()
     
-    hashed_filename = save_uploaded_file_with_hash(file_obj, LORA_DIR)
-    return hashed_filename, "File"
+    uploaded_filename = save_uploaded_file(file_obj, LORA_DIR)
+    return uploaded_filename, "Upload File"
 
 
 def on_embedding_upload(file_obj):
     if not file_obj:
         return gr.update(), gr.update(), None
     
-    hashed_filename = save_uploaded_file_with_hash(file_obj, EMBEDDING_DIR)
-    return hashed_filename, "File", file_obj
+    uploaded_filename = save_uploaded_file(file_obj, EMBEDDING_DIR)
+    return uploaded_filename, "Upload File", file_obj
 
 
 def create_lora_event_handlers(prefix, ui_components):

ui/layout.py

@@ -12,7 +12,7 @@ def build_ui(event_handler_function):
     with gr.Blocks() as demo:
         gr.Markdown("# ImageGen")
         gr.Markdown(
-            "This demo is a streamlined version of the [Comfy web UI](https://github.com/RioShiina47/comfy-webui)'s [ImageGen](https://huggingface.co/spaces/RioShiina/ImageGen) functionality. Support [High-Level MCP](https://rioshiina-imagegen.hf.space/gradio_api/mcp/) 🤖"
+            "This demo is a streamlined version of the [Comfy web UI](https://github.com/RioShiina47/comfy-webui)'s [ImageGen](https://huggingface.co/spaces/RioShiina/ImageGen) functionality. Support [High-Level MCP](https://rioshiina-imagegen.hf.space/gradio_api/mcp/)."
         )
         ui_components.update(create_imagegen_ui())
         

ui/shared/ui_components.py

@@ -9,7 +9,7 @@ from core.settings import (
 import yaml
 import os
 from functools import lru_cache
-from utils.app_utils import save_uploaded_file_with_hash
+from utils.app_utils import save_uploaded_file
 
 default_model_name = list(MODEL_MAP_CHECKPOINT.keys())[0] if MODEL_MAP_CHECKPOINT else None
 default_m_type = MODEL_TYPE_MAP.get(default_model_name, "SDXL") if default_model_name else "SDXL"
@@ -519,7 +519,7 @@ def create_embedding_ui(prefix: str):
 
     with gr.Accordion("Embedding Settings", open=False, visible=('embedding' in default_enabled_chains)) as accordion:
         components[key('embedding_accordion')] = accordion
-        gr.Markdown("💡 **Tip:** When downloading from Civitai, please use the **Version ID**, not the Model ID. You can find the Version ID in the URL (e.g., `civitai.com/models/123?modelVersionId=456`) or under the model's download button. For example, entering the Version ID 456 will automatically save the file as \"civitai_456.safetensors\", and you will need to manually enter `embedding:civitai_456` in either your prompt or negative prompt to activate it.When downloading from Hugging Face, please use the format: repo_id/filename.extension or repo_id/folder_path/filename.extension (e.g., ilikebigturtles/lazypos/lazypos.safetensors or ilikebigturtles/lazyneg/lazyneg.safetensors). For Hugging Face files, you will need to enter embedding:filename (e.g., entering embedding:lazypos in your positive prompt, or embedding:lazyneg in your negative prompt) to activate it.")
+        gr.Markdown("💡 **Tip:** When downloading from Civitai, please use the **Version ID**, not the Model ID. You can find the Version ID in the URL (e.g., `civitai.com/models/123?modelVersionId=456`) or under the model's download button. For example, entering the Version ID 456 will automatically save the file as \"civitai/456.safetensors\", and you will need to manually enter `embedding:civitai/456` in either your prompt or negative prompt to activate it. When downloading from Hugging Face, please use the format: repo_id/filename.extension or repo_id/folder_path/filename.extension (e.g., ilikebigturtles/lazypos/lazypos.safetensors or ilikebigturtles/lazyneg/lazyneg.safetensors). For Hugging Face files, you will need to enter embedding:huggingface/filename (e.g., entering embedding:huggingface/lazypos in your positive prompt, or embedding:huggingface/lazyneg in your negative prompt) to activate it. For uploaded files, enter `embedding:upload_file/filename` in either your positive prompt or negative prompt to activate it.")
         
         embedding_rows, sources, ids, files, upload_buttons = [], [], [], [], []
         components.update({
@@ -595,13 +595,12 @@ def on_vae_upload(file_obj):
     if not file_obj:
         return gr.update(), gr.update(), None
     
-    hashed_filename = save_uploaded_file_with_hash(file_obj, VAE_DIR)
-    return hashed_filename, "File", file_obj
+    uploaded_filename = save_uploaded_file(file_obj, VAE_DIR)
+    return uploaded_filename, "Upload File", file_obj
 
 def create_vae_override_ui(prefix: str):
     components = {}
     key = lambda name: f"{name}_{prefix}"
-    source_choices = ["None"] + LORA_SOURCE_CHOICES
 
     with gr.Accordion("VAE Settings (Override)", open=False, visible=('vae' in default_enabled_chains)) as vae_accordion:
         components[key('vae_accordion')] = vae_accordion
@@ -609,8 +608,8 @@ def create_vae_override_ui(prefix: str):
         with gr.Row():
             components[key('vae_source')] = gr.Dropdown(
                 label="VAE Source", 
-                choices=source_choices, 
-                value="None", 
+                choices=LORA_SOURCE_CHOICES, 
+                value="Civitai", 
                 scale=1, 
                 interactive=True
             )

utils/app_utils.py

@@ -43,31 +43,24 @@ class UniqueKeyLoader(yaml.SafeLoader):
 
 UniqueKeyLoader.add_constructor(yaml.resolver.BaseResolver.DEFAULT_MAPPING_TAG, UniqueKeyLoader.construct_mapping)
 
-def save_uploaded_file_with_hash(file_obj: gr.File, target_dir: str) -> str:
+def save_uploaded_file(file_obj: gr.File, target_dir: str) -> str:
     if not file_obj:
         return ""
     
     temp_path = file_obj.name
+    orig_filename = getattr(file_obj, 'orig_name', None) or os.path.basename(temp_path)
+    clean_filename = sanitize_filename(orig_filename)
     
-    sha256 = hashlib.sha256()
-    with open(temp_path, 'rb') as f:
-        for block in iter(lambda: f.read(65536), b''):
-            sha256.update(block)
+    upload_dir = os.path.join(target_dir, "upload_file")
+    dest_path = os.path.join(upload_dir, clean_filename)
     
-    file_hash = sha256.hexdigest()
-    _, extension = os.path.splitext(temp_path)
-    hashed_filename = f"{file_hash}{extension.lower()}"
-    
-    dest_path = os.path.join(target_dir, hashed_filename)
-    
-    os.makedirs(target_dir, exist_ok=True)
-    if not os.path.exists(dest_path):
-        shutil.copy(temp_path, dest_path)
-        print(f"✅ Saved uploaded file as: {dest_path}")
-    else:
-        print(f"ℹ️ File already exists (deduplicated): {dest_path}")
+    os.makedirs(upload_dir, exist_ok=True)
+    shutil.copy(temp_path, dest_path)
+    print(f"✅ Saved uploaded file as: {dest_path}")
         
-    return hashed_filename
+    return clean_filename
+
+save_uploaded_file_with_hash = save_uploaded_file
 
 def bytes_to_gb(byte_size: int) -> float:
     if byte_size is None or byte_size == 0:
@@ -196,8 +189,13 @@ def get_lora_path(source: str, id_or_url: str, civitai_key: str, progress) -> tu
                 if model_type and model_type.lower() == 'checkpoint':
                     return None, f"Invalid Civitai model type '{model_type}' for LoRA. Checkpoint models are not allowed."
             
-            filename = sanitize_filename(f"civitai_{version_id}.safetensors")
-            local_path = os.path.join(LORA_DIR, filename)
+            file_ext = ".safetensors"
+            if file_info and file_info.get('name') and file_info['name'].lower().endswith(('.pt', '.bin')):
+                file_ext = os.path.splitext(file_info['name'])[1]
+
+            filename = sanitize_filename(f"{version_id}{file_ext}")
+            save_dir = os.path.join(LORA_DIR, "civitai")
+            local_path = os.path.join(save_dir, filename)
             api_key_to_use = civitai_key
             source_name = f"Civitai ID {version_id}"
         elif source == "Hugging Face":
@@ -206,9 +204,9 @@ def get_lora_path(source: str, id_or_url: str, civitai_key: str, progress) -> tu
                 return None, "Invalid Hugging Face path. Format: repo_owner/repo_name/filename"
             repo_id = f"{parts[0]}/{parts[1]}"
             repo_file_path = "/".join(parts[2:])
-            unique_name = id_or_url.strip().replace('/', '_')
-            filename = sanitize_filename(unique_name)
-            local_path = os.path.join(LORA_DIR, filename)
+            filename = sanitize_filename(parts[-1])
+            save_dir = os.path.join(LORA_DIR, "huggingface")
+            local_path = os.path.join(save_dir, filename)
             source_name = f"HF {repo_file_path}"
         else:
             return None, "Invalid source."
@@ -226,13 +224,14 @@ def get_lora_path(source: str, id_or_url: str, civitai_key: str, progress) -> tu
         if not file_info or not file_info.get('downloadUrl'):
             return None, f"Could not get download link for {source_name}."
 
+        os.makedirs(os.path.dirname(local_path), exist_ok=True)
         status = download_file(file_info['downloadUrl'], local_path, api_key_to_use, progress=progress, desc=f"Downloading {source_name}")
         return (local_path, status) if "Successfully" in status else (None, status)
     elif source == "Hugging Face":
         try:
             if progress: progress(0, desc=f"Downloading {source_name}")
             cached_path = hf_hub_download(repo_id=repo_id, filename=repo_file_path, token=os.environ.get("HF_TOKEN"))
-            os.makedirs(LORA_DIR, exist_ok=True)
+            os.makedirs(os.path.dirname(local_path), exist_ok=True)
             os.symlink(cached_path, local_path)
             if progress: progress(1.0, desc=f"Downloaded {source_name}")
             return local_path, f"Successfully downloaded: {filename}"
@@ -259,8 +258,9 @@ def get_embedding_path(source: str, id_or_url: str, civitai_key: str, progress)
             if file_info and file_info.get('name') and file_info['name'].lower().endswith(('.pt', '.bin')):
                 file_ext = os.path.splitext(file_info['name'])[1]
 
-            filename = sanitize_filename(f"civitai_{version_id}{file_ext}")
-            local_path = os.path.join(EMBEDDING_DIR, filename)
+            filename = sanitize_filename(f"{version_id}{file_ext}")
+            save_dir = os.path.join(EMBEDDING_DIR, "civitai")
+            local_path = os.path.join(save_dir, filename)
             api_key_to_use = civitai_key
             source_name = f"Embedding Civitai ID {version_id}"
         elif source == "Hugging Face":
@@ -270,7 +270,8 @@ def get_embedding_path(source: str, id_or_url: str, civitai_key: str, progress)
             repo_id = f"{parts[0]}/{parts[1]}"
             repo_file_path = "/".join(parts[2:])
             filename = sanitize_filename(parts[-1])
-            local_path = os.path.join(EMBEDDING_DIR, filename)
+            save_dir = os.path.join(EMBEDDING_DIR, "huggingface")
+            local_path = os.path.join(save_dir, filename)
             source_name = f"Embedding HF {repo_file_path}"
         else:
             return None, "Invalid source."
@@ -288,13 +289,14 @@ def get_embedding_path(source: str, id_or_url: str, civitai_key: str, progress)
         if not file_info or not file_info.get('downloadUrl'):
             return None, f"Could not get download link for {source_name}."
 
+        os.makedirs(os.path.dirname(local_path), exist_ok=True)
         status = download_file(file_info['downloadUrl'], local_path, api_key_to_use, progress=progress, desc=f"Downloading {source_name}")
         return (local_path, status) if "Successfully" in status else (None, status)
     elif source == "Hugging Face":
         try:
             if progress: progress(0, desc=f"Downloading {source_name}")
             cached_path = hf_hub_download(repo_id=repo_id, filename=repo_file_path, token=os.environ.get("HF_TOKEN"))
-            os.makedirs(EMBEDDING_DIR, exist_ok=True)
+            os.makedirs(os.path.dirname(local_path), exist_ok=True)
             os.symlink(cached_path, local_path)
             if progress: progress(1.0, desc=f"Downloaded {source_name}")
             return local_path, f"Successfully downloaded: {filename}"
@@ -321,8 +323,9 @@ def get_vae_path(source: str, id_or_url: str, civitai_key: str, progress) -> tup
             if file_info and file_info.get('name') and file_info['name'].lower().endswith(('.pt', '.bin')):
                 file_ext = os.path.splitext(file_info['name'])[1]
 
-            filename = sanitize_filename(f"civitai_{version_id}{file_ext}")
-            local_path = os.path.join(VAE_DIR, filename)
+            filename = sanitize_filename(f"{version_id}{file_ext}")
+            save_dir = os.path.join(VAE_DIR, "civitai")
+            local_path = os.path.join(save_dir, filename)
             api_key_to_use = civitai_key
             source_name = f"VAE Civitai ID {version_id}"
         elif source == "Hugging Face":
@@ -331,9 +334,9 @@ def get_vae_path(source: str, id_or_url: str, civitai_key: str, progress) -> tup
                 return None, "Invalid Hugging Face path. Format: repo_owner/repo_name/filename"
             repo_id = f"{parts[0]}/{parts[1]}"
             repo_file_path = "/".join(parts[2:])  
-            unique_name = id_or_url.strip().replace('/', '_')
-            filename = sanitize_filename(unique_name)
-            local_path = os.path.join(VAE_DIR, filename)
+            filename = sanitize_filename(parts[-1])
+            save_dir = os.path.join(VAE_DIR, "huggingface")
+            local_path = os.path.join(save_dir, filename)
             source_name = f"VAE HF {repo_file_path}"
         else:
             return None, "Invalid source."
@@ -351,13 +354,14 @@ def get_vae_path(source: str, id_or_url: str, civitai_key: str, progress) -> tup
         if not file_info or not file_info.get('downloadUrl'):
             return None, f"Could not get download link for {source_name}."
 
+        os.makedirs(os.path.dirname(local_path), exist_ok=True)
         status = download_file(file_info['downloadUrl'], local_path, api_key_to_use, progress=progress, desc=f"Downloading {source_name}")
         return (local_path, status) if "Successfully" in status else (None, status)
     elif source == "Hugging Face":
         try:
             if progress: progress(0, desc=f"Downloading {source_name}")
             cached_path = hf_hub_download(repo_id=repo_id, filename=repo_file_path, token=os.environ.get("HF_TOKEN"))
-            os.makedirs(VAE_DIR, exist_ok=True)
+            os.makedirs(os.path.dirname(local_path), exist_ok=True)
             os.symlink(cached_path, local_path)
             if progress: progress(1.0, desc=f"Downloaded {source_name}")
             return local_path, f"Successfully downloaded: {filename}"

yaml/chain_features.yaml

@@ -6,17 +6,17 @@ lora:
   display_name: "LoRA Fine-tuning Injector"
   description: "Injects LoRA weights into UNet/DiT model and CLIP text encoder for custom style, character, or domain adaptation. Note: For Civitai, specify the Version ID (modelVersionId) instead of the main Model ID."
   max_count: 5
-  usage_guideline: "Specify source ('Civitai' or 'Hugging Face'). For Civitai, provide lora_value as the Version ID (modelVersionId). For Hugging Face, provide HF repo file path. Scale (0.0~2.0) controls weight strength."
+  usage_guideline: "Specify source ('Civitai', 'Hugging Face', or 'Upload File'). For Civitai, provide lora_value as the Version ID (modelVersionId). For Hugging Face, provide HF repo file path. For Upload File, provide uploaded filename. Scale (0.0~2.0) controls weight strength."
   parameters_schema:
     type: object
     properties:
       source:
         type: string
-        enum: ["Civitai", "Hugging Face"]
-        description: "Download source for the LoRA model. Use 'Civitai' to download by Version ID (modelVersionId), or 'Hugging Face' to download by repo file path."
+        enum: ["Civitai", "Hugging Face", "Upload File"]
+        description: "Download/upload source for the LoRA model. Use 'Civitai' to download by Version ID (modelVersionId), 'Hugging Face' to download by repo file path, or 'Upload File' for uploaded files."
       lora_value:
         type: string
-        description: "For Civitai: the Version ID (modelVersionId). For Hugging Face: repo_id/filename.extension or repo_id/folder_path/filename.extension."
+        description: "For Civitai: the Version ID (modelVersionId). For Hugging Face: repo_id/filename.extension or repo_id/folder_path/filename.extension. For Upload File: uploaded filename."
       scale:
         type: number
         default: 1.0
@@ -154,17 +154,17 @@ vae:
   display_name: "Custom VAE Loader"
   description: "Overrides default VAE model used for latent space encoding and final image decoding."
   max_count: 1
-  usage_guideline: "Specify source ('Civitai' or 'Hugging Face'), then provide the vae_value (Civitai Version ID or HF file path)."
+  usage_guideline: "Specify source ('Civitai', 'Hugging Face', or 'Upload File'), then provide the vae_value (Civitai Version ID, HF file path, or uploaded filename)."
   parameters_schema:
     type: object
     properties:
       source:
         type: string
-        enum: ["Civitai", "Hugging Face"]
-        description: "Download source for the VAE model. Use 'Civitai' to download by Version ID, or 'Hugging Face' to download by repo path."
+        enum: ["Civitai", "Hugging Face", "Upload File"]
+        description: "Download/upload source for the VAE model. Use 'Civitai' to download by Version ID, 'Hugging Face' to download by repo path, or 'Upload File' for uploaded file."
       vae_value:
         type: string
-        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456). For Hugging Face: repo_id/filename.extension or repo_id/folder_path/filename.extension (e.g., 'madebyollin/sdxl-vae-fp16-fix/sdxl_vae.safetensors')."
+        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456). For Hugging Face: repo_id/filename.extension or repo_id/folder_path/filename.extension (e.g., 'madebyollin/sdxl-vae-fp16-fix/sdxl_vae.safetensors'). For Upload File: uploaded file name."
     required:
       - source
       - vae_value
@@ -504,9 +504,9 @@ sd3_ipadapter:
 embedding:
   chains: embedding
   display_name: "Textual Inversion Embedding Injector"
-  description: "Downloads Textual Inversion embedding files from Civitai or Hugging Face to the server. Note: This feature ONLY handles file downloading/preparation. To activate the embedding, manually add 'embedding:<filename>' (e.g. 'embedding:civitai_456' for Civitai ID 456, or 'embedding:filename' for Hugging Face) into your prompt or negative_prompt."
+  description: "Downloads Textual Inversion embedding files from Civitai, Hugging Face, or uploads to the server. Note: This feature ONLY handles file downloading/preparation. To activate the embedding, manually add 'embedding:<filename>' (e.g. 'embedding:civitai/456' for Civitai ID 456, 'embedding:huggingface/lazypos' for Hugging Face, or 'embedding:upload_file/filename' for uploaded files) into your prompt or negative_prompt."
   max_count: 5
-  usage_guideline: "Specify source ('Civitai' or 'Hugging Face'), and embedding_value (Civitai Version ID or HF repo file path). The file is downloaded to server; manually enter 'embedding:<filename>' in prompt or negative_prompt to activate."
+  usage_guideline: "Specify source ('Civitai', 'Hugging Face', or 'Upload File'), and embedding_value (Civitai Version ID, HF repo file path, or uploaded filename). The file is stored on server; manually enter 'embedding:<filename>' in prompt or negative_prompt to activate."
   parameters_schema:
     type: object
     properties:
@@ -515,10 +515,11 @@ embedding:
         enum:
           - "Civitai"
           - "Hugging Face"
-        description: "Download source for the Textual Inversion embedding file. Use 'Civitai' to download by Version ID, or 'Hugging Face' to download by repo file path."
+          - "Upload File"
+        description: "Download source for the Textual Inversion embedding file. Use 'Civitai' to download by Version ID, 'Hugging Face' to download by repo file path, or 'Upload File' for uploaded files."
       embedding_value:
         type: string
-        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456, saved as 'civitai_456.safetensors'). For Hugging Face: repo_id/filename.extension (e.g., 'ilikebigturtles/lazypos/lazypos.safetensors', saved as 'lazypos.safetensors'). Manually reference embedding:<filename> in prompt or negative_prompt."
+        description: "For Civitai: the Version ID (e.g., '456' from civitai.com/models/123?modelVersionId=456, saved as 'civitai/456.safetensors'). For Hugging Face: repo_id/filename.extension (e.g., 'ilikebigturtles/lazypos/lazypos.safetensors', saved as 'huggingface/lazypos.safetensors'). For Upload File: uploaded filename (saved as 'upload_file/filename.safetensors'). Manually reference embedding:<filename> in prompt or negative_prompt."
     required:
       - source
       - embedding_value

yaml/constants.yaml

@@ -4,7 +4,7 @@ MAX_IPADAPTERS: 5
 MAX_EMBEDDINGS: 5
 MAX_CONDITIONINGS: 10
 MAX_REFERENCE_LATENTS: 10
-LORA_SOURCE_CHOICES: ["Civitai", "Hugging Face", "File"]
+LORA_SOURCE_CHOICES: ["Civitai", "Hugging Face", "Upload File"]
 
 RESOLUTION_MAP:
   krea-2:

yaml/file_list.yaml

@@ -797,6 +797,10 @@ file:
       repo_id: "ostris/krea2_turbo_style_reference"
       repository_file_path: "krea2_style_reference.safetensors"
     # Krea2 ControlNet
+    - filename: "krea2-anythng_step_007000.safetensors"
+      source: "hf"
+      repo_id: "tori29umai/krea2-controlnet"
+      repository_file_path: "krea2-anythng_step_007000.safetensors"
     - filename: "depth-control-lora.safetensors"
       source: "hf"
       repo_id: "Patil/Krea-2-depth-controlnet"

yaml/krea2_controlnet_models.yaml

@@ -1,4 +1,7 @@
 Krea2_ControlNet:
+  - Filepath: "krea2-anythng_step_007000.safetensors"
+    Series: "tori29umai"
+    Type: ["Anythng"]
   - Filepath: "depth-control-lora.safetensors"
     Series: "Patil"
     Type: ["Depth"]

yaml/model_defaults.yaml

@@ -158,13 +158,41 @@ Anima:
     cfg: 4.0
     sampler_name: "er_sde"
     scheduler: "simple"
-    positive_prompt: "masterpiece, best quality, score_7, safe， "
+    positive_prompt: "masterpiece, best quality, score_7, safe, "
     negative_prompt: "worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia"
+  "circlestone-labs/Anima-Turbo-v1.0":
+    steps: 10
+    cfg: 1.0
+    sampler_name: "er_sde"
+    scheduler: "simple"
+  "WAI0731/waiANIMA-v1.0":
+    steps: 28
+    cfg: 4.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, score_9, score_8, score_7, safe, "
+    negative_prompt: "worst quality, low quality, score_1, score_2, score_3, artist name, blurry, jpeg artifacts, lowres, censor"
   "Gazingstars123/Anima-2.9B-preview-v1":
     steps: 30
     cfg: 4.0
-    scheduler: "simple"
+    sampler_name: "er_sde"
     scheduler: "sgm_uniform"
+    positive_prompt: "masterpiece, best quality, highres, absurdres, newest, score_7, safe, "
+    negative_prompt: "lowres, bad quality, worst quality, score_1, score_2, score_3, jpeg artifacts, signature, watermark"
+  "motimalu/Kirazuri (Anima)-v4.0":
+    steps: 30
+    cfg: 4.0
+    sampler_name: "er_sde"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, very aesthetic, score_7, safe, "
+    negative_prompt: "worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts, sepia"
+  "Ikena/Hassaku-Anima-v1.3":
+    steps: 25
+    cfg: 3.5
+    sampler_name: "er_sde"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, score_7, safe, "
+    negative_prompt: "worst quality, low quality, score_1, score_2, score_3, blurry, jpeg artifacts"
 
 NewBie-Image:
   _defaults:
@@ -304,9 +332,173 @@ SDXL:
     cfg: 1.0
     positive_prompt: "NOTE: The model generates images of size 512x512 but higher image sizes work as well."
 
+  # --- NoobAI ---
+  "Laxhar/noobai-XL-Vpred-1.0":
+    steps: 28
+    cfg: 5.0
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, newest, absurdres, highres, safe, "
+    negative_prompt: "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "Laxhar/noobai-XL-1.1":
+    steps: 28
+    cfg: 5.0
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, newest, absurdres, highres, safe, "
+    negative_prompt: "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "bluepen5805/noob_v_pencil-XL-3.0.0":
+    steps: 28
+    cfg: 5.0
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, newest, absurdres, highres, safe, "
+    negative_prompt: "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "RedRayz/hikari_noob_v-pred_1.2.4":
+    steps: 28
+    cfg: 5.0
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, newest, absurdres, highres, safe, "
+    negative_prompt: "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "ChenkinNoob/ChenkinNoob-XL-V0.5":
+    steps: 28
+    cfg: 5.0
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, newest, absurdres, highres, safe, "
+    negative_prompt: "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+
+  # --- Illustrious ---
+  "WAI0731/wai-illustrious-sdxl-v170":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "OnomaAIResearch/Illustrious-XL-v2.0":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "OnomaAIResearch/Illustrious-XL-v1.1":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "OnomaAIResearch/Illustrious-XL-v1.0":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "aria1th261/Illustrious-XL-v0.1":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "Crody/Nova-Anime-XL-v18.0":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "Ikena/hassaku-xl-illustrious-v3.0":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "blue_pen5805/illustrious_pencil-XL-v5.0.0":
+    steps: 25
+    cfg: 5.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"
+  "blue_pen5805/mellow_pencil-XL-v1.0.0":
+    steps: 18
+    cfg: 3.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, aesthetic, absurdres, newest, "
+    negative_prompt: "worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands"
+
+  # --- Animagine / Anime ---
+  "CagliostroLab/Animagine XL 4.0":
+    steps: 28
+    cfg: 6.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, very aesthetic, absurdres, "
+    negative_prompt: "lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]"
+  "CagliostroLab/Animagine XL 3.1":
+    steps: 28
+    cfg: 6.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, very aesthetic, absurdres, "
+    negative_prompt: "lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]"
+  "blue_pen5805/4nima_pencil-XL v1.0.1":
+    steps: 28
+    cfg: 6.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, very aesthetic, absurdres, "
+    negative_prompt: "lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]"
+  "blue_pen5805/anima_pencil-XL v5.0.0":
+    steps: 28
+    cfg: 6.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, very aesthetic, absurdres, "
+    negative_prompt: "lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]"
+  "blue_pen5805/blue_pencil-XL v7.0.0":
+    steps: 28
+    cfg: 6.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "masterpiece, best quality, very aesthetic, absurdres, "
+    negative_prompt: "lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]"
+
+  # --- Pony ---
+  "PurpleSmartAI/Pony Diffusion V6 XL":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_safe, "
+    negative_prompt: "score_6, score_5, score_4, (worst quality:1.2), (low quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, unnatural body, extra limbs"
+  "blue_pen5805/pony_pencil-XL v2.0.0":
+    steps: 28
+    cfg: 5.5
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, rating_safe, "
+    negative_prompt: "score_6, score_5, score_4, (worst quality:1.2), (low quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, unnatural body, extra limbs"
+  "Cyberdelia/CyberRealistic Pony v17.0":
+    steps: 30
+    cfg: 5.0
+    sampler_name: "euler_ancestral"
+    scheduler: "simple"
+    positive_prompt: "score_9, score_8_up, score_7_up, rating_safe, "
+    negative_prompt: "score_6, score_5, score_4, (worst quality:1.2), (low quality:1.2), (normal quality:1.2), lowres, bad anatomy, bad hands, signature, watermarks, ugly, imperfect eyes, skewed eyes, unnatural face, unnatural body, extra limbs"
+
 SD1.5:
   _defaults:
-    steps: 47
+    steps: 35
     cfg: 7.0
     sampler_name: "euler_ancestral"
-    scheduler: "simple"
+    scheduler: "simple"
+    positive_prompt: ""
+    negative_prompt: "worst quality, low quality, normal quality, lowres, bad anatomy, bad hands, missing fingers, extra digit, cropped, blurry, watermark, signature"