Hunyuan DiT UI

environment.yml

@@ -18,3 +18,4 @@ dependencies:
     - imageio[ffmpeg]
     - safetensors
     - einops
+    - sentencepiece

pages/1_Image_Creator.py

@@ -5,7 +5,7 @@ import streamlit as st
 st.set_page_config(layout="wide")
 from streamlit_drawable_canvas import st_canvas
 from diffsynth.models import ModelManager
-from diffsynth.pipelines import SDImagePipeline, SDXLImagePipeline
+from diffsynth.pipelines import SDImagePipeline, SDXLImagePipeline, HunyuanDiTImagePipeline
 from diffsynth.data.video import crop_and_resize
 
 
@@ -30,14 +30,23 @@ config = {
             "height": 512,
             "width": 512,
         }
-    }
+    },
+    "HunyuanDiT": {
+        "model_folder": "models/HunyuanDiT",
+        "pipeline_class": HunyuanDiTImagePipeline,
+        "fixed_parameters": {
+            "height": 1024,
+            "width": 1024,
+        }
+    },
 }
 
 
 def load_model_list(model_type):
     folder = config[model_type]["model_folder"]
-    file_list = os.listdir(folder)
-    file_list = [i for i in file_list if i.endswith(".safetensors")]
+    file_list = [i for i in os.listdir(folder) if i.endswith(".safetensors")]
+    if model_type == "HunyuanDiT":
+        file_list += [i for i in os.listdir(folder) if os.path.isdir(os.path.join(folder, i))]
     file_list = sorted(file_list)
     return file_list
 
@@ -53,7 +62,15 @@ def release_model():
 
 def load_model(model_type, model_path):
     model_manager = ModelManager()
-    model_manager.load_model(model_path)
+    if model_type == "HunyuanDiT":
+        model_manager.load_models([
+            os.path.join(model_path, "clip_text_encoder/pytorch_model.bin"),
+            os.path.join(model_path, "mt5/pytorch_model.bin"),
+            os.path.join(model_path, "model/pytorch_model_ema.pt"),
+            os.path.join(model_path, "sdxl-vae-fp16-fix/diffusion_pytorch_model.bin"),
+        ])
+    else:
+        model_manager.load_model(model_path)
     pipeline = config[model_type]["pipeline_class"].from_model_manager(model_manager)
     st.session_state.loaded_model_path = model_path
     st.session_state.model_manager = model_manager
@@ -109,7 +126,7 @@ column_input, column_output = st.columns(2)
 with st.sidebar:
     # Select a model
     with st.expander("Model", expanded=True):
-        model_type = st.selectbox("Model type", ["Stable Diffusion", "Stable Diffusion XL", "Stable Diffusion XL Turbo"])
+        model_type = st.selectbox("Model type", [model_type_ for model_type_ in config])
         fixed_parameters = config[model_type]["fixed_parameters"]
         model_path_list = ["None"] + load_model_list(model_type)
         model_path = st.selectbox("Model path", model_path_list)
@@ -124,13 +141,17 @@ with st.sidebar:
             model_path = os.path.join(config[model_type]["model_folder"], model_path)
             if st.session_state.get("loaded_model_path", "") != model_path:
                 # The loaded model is not the selected model. Reload it.
-                st.markdown(f"Using model at {model_path}.")
+                st.markdown(f"Loading model at {model_path}.")
+                st.markdown("Please wait a moment...")
                 release_model()
                 model_manager, pipeline = load_model(model_type, model_path)
+                st.markdown("Done.")
             else:
                 # The loaded model is not the selected model. Fetch it from `st.session_state`.
-                st.markdown(f"Using model at {model_path}.")
+                st.markdown(f"Loading model at {model_path}.")
+                st.markdown("Please wait a moment...")
                 model_manager, pipeline = st.session_state.model_manager, st.session_state.pipeline
+                st.markdown("Done.")
 
     # Show parameters
     with st.expander("Prompt", expanded=True):