build: bump vs-pytorch to v0.4.0

.github/workflows/Release.yml

@@ -42,7 +42,7 @@ jobs:
             lychee0/finalrip:${{ matrix.dockerfile }}-cuda
             lychee0/finalrip:${{ matrix.dockerfile }}-cuda-${{ github.ref_name }}
           build-args: |
-            BASE_CONTAINER_TAG=cuda-v0.3.2
+            BASE_CONTAINER_TAG=cuda-v0.4.0
           no-cache: true
 
       - name: Build and push for other services

.gitignore

@@ -131,4 +131,4 @@ tmp
 temp_clips
 temp_list.txt
 
-/deploy/docker-compose/allinone/
+/node_modules/

.pre-commit-config.yaml

@@ -1,23 +1,24 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.5.0
+    rev: v6.0.0
     hooks:
       - id: trailing-whitespace
+      - id: end-of-file-fixer
       - id: check-json
       - id: check-yaml
       - id: check-xml
       - id: check-toml
 
   # autofix json, yaml, markdown...
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.1.0
+    rev: v4.0.0-alpha.8
     hooks:
       - id: prettier
         exclude: ^dashboard/
 
   # autofix toml
   - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks
-    rev: v2.12.0
+    rev: v2.15.0
     hooks:
       - id: pretty-format-toml
         args: [--autofix]

Makefile

@@ -46,7 +46,7 @@ all:
 
 .PHONY: pt
 pt:
-	docker buildx build -f ./deploy/worker-encode.dockerfile --build-arg BASE_CONTAINER_TAG=cuda \
+	docker buildx build -f ./deploy/worker-encode.dockerfile --build-arg BASE_CONTAINER_TAG=cuda-dev \
 		-t ${IMAGE_NAME}:worker-encode \
 		-t ${IMAGE_NAME}:worker-encode-dev \
 		-t ${IMAGE_NAME}:worker-encode-cuda-dev \

README.md

@@ -17,7 +17,7 @@ _We cut the original video into multiple clips, and then process each clip in pa
 - Nvidia GPU and GPU container runtime (optional)
 - make (optional)
 
-### Quick Deployment
+### Quick Start
 
 edit [Line 19](./deploy/docker-compose/lite/docker-compose.yml) to your LAN IP address
 
@@ -27,10 +27,6 @@ docker-compose -f deploy/docker-compose/lite/docker-compose.yml up -d
 
 It will run all containers in a single host, then open `http://localhost:8989` in your browser to access the dashboard, open `http://localhost:8080` to access the Asynq monitor.
 
-### Start
-
-![Dashboard](https://raw.githubusercontent.com/EutropicAI/.github/refs/heads/main/finalrip.gif)
-
 We use [this container](https://github.com/EutropicAI/vs-playground) as the base image, which contains FFmpeg, VapourSynth, PyTorch...
 
 So in the dashboard, we can select a compatible script to process the video!