support lcm and multicontrol

.gitignore

@@ -164,3 +164,5 @@ models/
 
 # Cog
 .cog
+
+gradio_cached_examples

README.md

@@ -7,8 +7,6 @@
 
 <sup>*</sup>corresponding authors
 
-{haofanwang.ai, wangqixun.ai}@gmail.com
-
 <a href='https://instantid.github.io/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
 <a href='https://arxiv.org/abs/2401.07519'><img src='https://img.shields.io/badge/Technique-Report-red'></a>
 <a href='https://huggingface.co/papers/2401.07519'><img src='https://img.shields.io/static/v1?label=Paper&message=Huggingface&color=orange'></a> 
@@ -71,6 +69,13 @@ hf_hub_download(repo_id="InstantX/InstantID", filename="ControlNetModel/diffusio
 hf_hub_download(repo_id="InstantX/InstantID", filename="ip-adapter.bin", local_dir="./checkpoints")
 ```
 
+Or run the following command to download all models:
+
+```python
+pip install -r gradio_demo/requirements.txt
+python gradio_demo/download_models.py
+```
+
 If you cannot access to Huggingface, you can use [hf-mirror](https://hf-mirror.com/) to download models.
 ```python
 export HF_ENDPOINT=https://hf-mirror.com
@@ -183,6 +188,11 @@ Run the following command:
 python gradio_demo/app.py
 ```
 
+or MultiControlNet version:
+```python
+gradio_demo/app-multicontrolnet.py 
+```
+
 ## Usage Tips
 - For higher similarity, increase the weight of controlnet_conditioning_scale (IdentityNet) and ip_adapter_scale (Adapter).
 - For over-saturation, decrease the ip_adapter_scale. If not work, decrease controlnet_conditioning_scale.