Add environment-mps

Author: Tps-F

.DS_Store

@@ -48,9 +48,16 @@ Note that the way we connect layers is computational efficient. The original SD
 
 First create a new conda environment
 
+CUDA, CPU
+
     conda env create -f environment.yaml
     conda activate control
 
+MPS
+
+    conda env create -f environment-mps.yaml
+    conda activate control
+
 All models and detectors can be downloaded from [our Hugging Face page](https://huggingface.co/lllyasviel/ControlNet). Make sure that SD models are put in "ControlNet/models" and detectors are put in "ControlNet/annotator/ckpts". Make sure that you download all necessary pretrained weights and detector models from that Hugging Face page, including HED edge detection model, Midas depth estimation model, Openpose, and so on. 
 
 We provide 9 Gradio apps with these models.

README.md

@@ -0,0 +1,34 @@
+name: control
+channels:
+  - pytorch
+  - defaults
+dependencies:
+  - python=3.8
+  - pip
+  - pytorch=1.12.1
+  - torchvision=0.13.1
+  - numpy=1.23.1
+  - pip:
+      - gradio==3.16.2
+      - albumentations==1.3.0
+      - opencv-contrib-python
+      - imageio==2.9.0
+      - imageio-ffmpeg==0.4.2
+      - pytorch-lightning==1.5.0
+      - omegaconf==2.1.1
+      - test-tube>=0.7.5
+      - streamlit==1.12.1
+      - einops==0.3.0
+      - transformers==4.19.2
+      - webdataset==0.2.5
+      - kornia==0.6
+      - open_clip_torch==2.0.2
+      - invisible-watermark>=0.1.5
+      - streamlit-drawable-canvas==0.8.0
+      - torchmetrics==0.6.0
+      - timm==0.6.12
+      - addict==2.4.0
+      - yapf==0.32.0
+      - prettytable==3.6.0
+      - safetensors==0.2.7
+      - basicsr==1.4.2