Update README

README.md

@@ -168,7 +168,7 @@ pip install flashinfer-python==0.5.0
 ```bash
 # Download from HuggingFace and rename the directory.
 # Notice that the directory name should not contain dots, which may cause issues when loading using Transformers.
-hf download tencent/HunyuanImage-3.0-Instruct --local-dir ./HunyuanImage-3-Instruct
+hf download tencent/HunyuanImage-3.0-Instruct-Distil --local-dir ./HunyuanImage-3-Instruct-Distil
 ```
 
 ##### 2️⃣ Run with Transformers
@@ -177,8 +177,8 @@ hf download tencent/HunyuanImage-3.0-Instruct --local-dir ./HunyuanImage-3-Instr
 from transformers import AutoModelForCausalLM
 
 # Load the model
-model_id = "./HunyuanImage-3-Instruct"
-# Currently we can not load the model using HF model_id `tencent/HunyuanImage-3.0-Instruct` directly 
+model_id = "./HunyuanImage-3-Instruct-Distil"
+# Currently we can not load the model using HF model_id `tencent/HunyuanImage-3.0-Instruct-Distil` directly 
 # due to the dot in the name.
 
 kwargs = dict(
@@ -208,7 +208,7 @@ cot_text, samples = model.generate_image(
     use_system_prompt="en_unified",
     bot_task="think_recaption",  # Use "think_recaption" for reasoning and enhancement
     infer_align_image_size=True,  # Align output image size to input image size
-    diff_infer_steps=50, 
+    diff_infer_steps=8, 
     verbose=2
 )
 
@@ -216,31 +216,6 @@ cot_text, samples = model.generate_image(
 samples[0].save("image_edit.png")
 ```
 
-#### 🏠 Local Installation & Usage
-
-##### 1️⃣ Clone the Repository
-
-```bash
-git clone https://github.com/Tencent-Hunyuan/HunyuanImage-3.0.git
-cd HunyuanImage-3.0/
-```
-
-##### 2️⃣ Download Model Weights
-
-```bash
-# Download from HuggingFace
-hf download tencent/HunyuanImage-3.0-Instruct --local-dir ./HunyuanImage-3-Instruct
-```
-
-##### 3️⃣ Run the Demo
-
-More demos in `run_demo_instruct.sh`.
-
-```bash
-export MODEL_PATH="./HunyuanImage-3-Instruct"
-bash run_demo_instruct.sh
-```
-
 ##### 4️⃣ Command Line Arguments
 
 | Arguments               | Description                                                  | Recommended    |
@@ -263,18 +238,6 @@ bash run_demo_instruct.sh
 | `--max_new_tokens`      | Maximum number of new tokens to generate                     | `2048` |
 | `--use-taylor-cache`    | Use Taylor Cache when sampling                              | `False`     |
 
-##### 5️⃣ For fewer Sampling Steps
-
-We recommend using the model [HunyuanImage-3.0-Instruct-Distil](https://huggingface.co/tencent/HunyuanImage-3.0-Instruct-Distil) with `--diff-infer-steps 8`, while keeping all other recommended parameter values **unchanged**.
-
-```bash
-# Download HunyuanImage-3.0-Instruct-Distil from HuggingFace
-hf download tencent/HunyuanImage-3.0-Instruct-Distil --local-dir ./HunyuanImage-3-Instruct-Distil
-
-# Run the demo with 8 steps to samples
-export MODEL_PATH="./HunyuanImage-3-Instruct-Distil"
-bash run_demo_instruct_Distil.sh
-```
 
 <details>
 <summary> Previous Version (Pure Text-to-Image) </summary>