init(*):初始化;使用sun-panel作为前端;使用dockge管理dockercompose

anythinllm/.env

@@ -0,0 +1,329 @@
+
+SERVER_PORT=3001
+STORAGE_DIR="/app/server/storage"
+UID='1000'
+GID='1000'
+# SIG_KEY='passphrase' # Please generate random string at least 32 chars long.
+# SIG_SALT='salt' # Please generate random string at least 32 chars long.
+JWT_SECRET="Mnx6P2gPXDz1FngbX3Vmn9SB4T2EVeE4JDkrqM2biA0o6nrWxDNE34QTXzxSR7ToKpTnjU6Qk2rGc3UGc3C03XL0w3gsXoUkA7kje1A82f2V2bTchu4N64uPkljZmF1x" # Only needed if AUTH_TOKEN is set. Please generate random string at least 12 chars long.
+
+###########################################
+######## LLM API SElECTION ################
+###########################################
+# LLM_PROVIDER='openai'
+# OPEN_AI_KEY=
+# OPEN_MODEL_PREF='gpt-4o'
+
+# LLM_PROVIDER='gemini'
+# GEMINI_API_KEY=
+# GEMINI_LLM_MODEL_PREF='gemini-pro'
+
+# LLM_PROVIDER='azure'
+# AZURE_OPENAI_ENDPOINT=
+# AZURE_OPENAI_KEY=
+# OPEN_MODEL_PREF='my-gpt35-deployment' # This is the "deployment" on Azure you want to use. Not the base model.
+# EMBEDDING_MODEL_PREF='embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
+
+# LLM_PROVIDER='anthropic'
+# ANTHROPIC_API_KEY=sk-ant-xxxx
+# ANTHROPIC_MODEL_PREF='claude-2'
+
+# LLM_PROVIDER='lmstudio'
+# LMSTUDIO_BASE_PATH='http://your-server:1234/v1'
+# LMSTUDIO_MODEL_PREF='Loaded from Chat UI' # this is a bug in LMStudio 0.2.17
+# LMSTUDIO_MODEL_TOKEN_LIMIT=4096
+
+# LLM_PROVIDER='localai'
+LOCAL_AI_BASE_PATH='http://host.docker.internal:10580/v1'
+LOCAL_AI_MODEL_PREF='DeepSeek-R1-Distill-Llama-70B-AWQ'
+LOCAL_AI_MODEL_TOKEN_LIMIT=8192
+LOCAL_AI_API_KEY="O8Is3NSYnp5fICWFbhkbwpLWgvMLkdCSuXR5ZggLmgwTKNPEWsjx1NqUxkyU7wLX"
+
+# LLM_PROVIDER='ollama'
+# OLLAMA_BASE_PATH='http://host.docker.internal:11434'
+# OLLAMA_MODEL_PREF='llama2'
+# OLLAMA_MODEL_TOKEN_LIMIT=4096
+# OLLAMA_AUTH_TOKEN='your-ollama-auth-token-here (optional, only for ollama running behind auth - Bearer token)'
+
+# LLM_PROVIDER='togetherai'
+# TOGETHER_AI_API_KEY='my-together-ai-key'
+# TOGETHER_AI_MODEL_PREF='mistralai/Mixtral-8x7B-Instruct-v0.1'
+
+# LLM_PROVIDER='mistral'
+# MISTRAL_API_KEY='example-mistral-ai-api-key'
+# MISTRAL_MODEL_PREF='mistral-tiny'
+
+# LLM_PROVIDER='perplexity'
+# PERPLEXITY_API_KEY='my-perplexity-key'
+# PERPLEXITY_MODEL_PREF='codellama-34b-instruct'
+
+# LLM_PROVIDER='openrouter'
+# OPENROUTER_API_KEY='my-openrouter-key'
+# OPENROUTER_MODEL_PREF='openrouter/auto'
+
+# LLM_PROVIDER='huggingface'
+# HUGGING_FACE_LLM_ENDPOINT=https://uuid-here.us-east-1.aws.endpoints.huggingface.cloud
+# HUGGING_FACE_LLM_API_KEY=hf_xxxxxx
+# HUGGING_FACE_LLM_TOKEN_LIMIT=8000
+
+# LLM_PROVIDER='groq'
+# GROQ_API_KEY=gsk_abcxyz
+# GROQ_MODEL_PREF=llama3-8b-8192
+
+# LLM_PROVIDER='koboldcpp'
+# KOBOLD_CPP_BASE_PATH='http://127.0.0.1:5000/v1'
+# KOBOLD_CPP_MODEL_PREF='koboldcpp/codellama-7b-instruct.Q4_K_S'
+# KOBOLD_CPP_MODEL_TOKEN_LIMIT=4096
+
+# LLM_PROVIDER='textgenwebui'
+# TEXT_GEN_WEB_UI_BASE_PATH='http://127.0.0.1:5000/v1'
+# TEXT_GEN_WEB_UI_TOKEN_LIMIT=4096
+# TEXT_GEN_WEB_UI_API_KEY='sk-123abc'
+
+# LLM_PROVIDER='generic-openai'
+# GENERIC_OPEN_AI_BASE_PATH='http://proxy.url.openai.com/v1'
+# GENERIC_OPEN_AI_MODEL_PREF='gpt-3.5-turbo'
+# GENERIC_OPEN_AI_MODEL_TOKEN_LIMIT=4096
+# GENERIC_OPEN_AI_API_KEY=sk-123abc
+
+# LLM_PROVIDER='litellm'
+# LITE_LLM_MODEL_PREF='gpt-3.5-turbo'
+# LITE_LLM_MODEL_TOKEN_LIMIT=4096
+# LITE_LLM_BASE_PATH='http://127.0.0.1:4000'
+# LITE_LLM_API_KEY='sk-123abc'
+
+# LLM_PROVIDER='novita'
+# NOVITA_LLM_API_KEY='your-novita-api-key-here' check on https://novita.ai/settings/key-management
+# NOVITA_LLM_MODEL_PREF='deepseek/deepseek-r1'
+
+# LLM_PROVIDER='cohere'
+# COHERE_API_KEY=
+# COHERE_MODEL_PREF='command-r'
+
+# LLM_PROVIDER='bedrock'
+# AWS_BEDROCK_LLM_ACCESS_KEY_ID=
+# AWS_BEDROCK_LLM_ACCESS_KEY=
+# AWS_BEDROCK_LLM_REGION=us-west-2
+# AWS_BEDROCK_LLM_MODEL_PREFERENCE=meta.llama3-1-8b-instruct-v1:0
+# AWS_BEDROCK_LLM_MODEL_TOKEN_LIMIT=8191
+
+# LLM_PROVIDER='fireworksai'
+# FIREWORKS_AI_LLM_API_KEY='my-fireworks-ai-key'
+# FIREWORKS_AI_LLM_MODEL_PREF='accounts/fireworks/models/llama-v3p1-8b-instruct'
+
+# LLM_PROVIDER='apipie'
+# APIPIE_LLM_API_KEY='sk-123abc'
+# APIPIE_LLM_MODEL_PREF='openrouter/llama-3.1-8b-instruct'
+
+# LLM_PROVIDER='xai'
+# XAI_LLM_API_KEY='xai-your-api-key-here'
+# XAI_LLM_MODEL_PREF='grok-beta'
+
+# LLM_PROVIDER='nvidia-nim'
+# NVIDIA_NIM_LLM_BASE_PATH='http://127.0.0.1:8000'
+# NVIDIA_NIM_LLM_MODEL_PREF='meta/llama-3.2-3b-instruct'
+
+# LLM_PROVIDER='deepseek'
+# DEEPSEEK_API_KEY='your-deepseek-api-key-here'
+# DEEPSEEK_MODEL_PREF='deepseek-chat'
+
+# LLM_PROVIDER='ppio'
+# PPIO_API_KEY='your-ppio-api-key-here'
+# PPIO_MODEL_PREF=deepseek/deepseek-v3/community
+
+###########################################
+######## Embedding API SElECTION ##########
+###########################################
+# Only used if you are using an LLM that does not natively support embedding (openai or Azure)
+# EMBEDDING_ENGINE='openai'
+# OPEN_AI_KEY=sk-xxxx
+# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
+
+# EMBEDDING_ENGINE='azure'
+# AZURE_OPENAI_ENDPOINT=
+# AZURE_OPENAI_KEY=
+# EMBEDDING_MODEL_PREF='my-embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002
+
+# EMBEDDING_ENGINE='localai'
+# EMBEDDING_BASE_PATH='http://localhost:8080/v1'
+# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=1000 # The max chunk size in chars a string to embed can be
+
+# EMBEDDING_ENGINE='ollama'
+# EMBEDDING_BASE_PATH='http://host.docker.internal:11434'
+# EMBEDDING_MODEL_PREF='nomic-embed-text:latest'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+
+# EMBEDDING_ENGINE='lmstudio'
+# EMBEDDING_BASE_PATH='https://host.docker.internal:1234/v1'
+# EMBEDDING_MODEL_PREF='nomic-ai/nomic-embed-text-v1.5-GGUF/nomic-embed-text-v1.5.Q4_0.gguf'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+
+# EMBEDDING_ENGINE='cohere'
+# COHERE_API_KEY=
+# EMBEDDING_MODEL_PREF='embed-english-v3.0'
+
+# EMBEDDING_ENGINE='voyageai'
+# VOYAGEAI_API_KEY=
+# EMBEDDING_MODEL_PREF='voyage-large-2-instruct'
+
+# EMBEDDING_ENGINE='litellm'
+# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+# LITE_LLM_BASE_PATH='http://127.0.0.1:4000'
+# LITE_LLM_API_KEY='sk-123abc'
+
+# EMBEDDING_ENGINE='generic-openai'
+# EMBEDDING_MODEL_PREF='text-embedding-ada-002'
+# EMBEDDING_MODEL_MAX_CHUNK_LENGTH=8192
+# EMBEDDING_BASE_PATH='http://127.0.0.1:4000'
+# GENERIC_OPEN_AI_EMBEDDING_API_KEY='sk-123abc'
+# GENERIC_OPEN_AI_EMBEDDING_MAX_CONCURRENT_CHUNKS=500
+
+# EMBEDDING_ENGINE='gemini'
+# GEMINI_EMBEDDING_API_KEY=
+# EMBEDDING_MODEL_PREF='text-embedding-004'
+
+###########################################
+######## Vector Database Selection ########
+###########################################
+# Enable all below if you are using vector database: Chroma.
+# VECTOR_DB="chroma"
+# CHROMA_ENDPOINT='http://host.docker.internal:8000'
+# CHROMA_API_HEADER="X-Api-Key"
+# CHROMA_API_KEY="sk-123abc"
+
+# Enable all below if you are using vector database: Pinecone.
+# VECTOR_DB="pinecone"
+# PINECONE_API_KEY=
+# PINECONE_INDEX=
+
+# Enable all below if you are using vector database: LanceDB.
+# VECTOR_DB="lancedb"
+
+# Enable all below if you are using vector database: Weaviate.
+# VECTOR_DB="weaviate"
+# WEAVIATE_ENDPOINT="http://localhost:8080"
+# WEAVIATE_API_KEY=
+
+# Enable all below if you are using vector database: Qdrant.
+# VECTOR_DB="qdrant"
+# QDRANT_ENDPOINT="http://localhost:6333"
+# QDRANT_API_KEY=
+
+# Enable all below if you are using vector database: Milvus.
+# VECTOR_DB="milvus"
+# MILVUS_ADDRESS="http://localhost:19530"
+# MILVUS_USERNAME=
+# MILVUS_PASSWORD=
+
+# Enable all below if you are using vector database: Zilliz Cloud.
+# VECTOR_DB="zilliz"
+# ZILLIZ_ENDPOINT="https://sample.api.gcp-us-west1.zillizcloud.com"
+# ZILLIZ_API_TOKEN=api-token-here
+
+# Enable all below if you are using vector database: Astra DB.
+# VECTOR_DB="astra"
+# ASTRA_DB_APPLICATION_TOKEN=
+# ASTRA_DB_ENDPOINT=
+
+###########################################
+######## Audio Model Selection ############
+###########################################
+# (default) use built-in whisper-small model.
+# WHISPER_PROVIDER="local"
+
+# use openai hosted whisper model.
+# WHISPER_PROVIDER="openai"
+# OPEN_AI_KEY=sk-xxxxxxxx
+
+###########################################
+######## TTS/STT Model Selection ##########
+###########################################
+# TTS_PROVIDER="native"
+
+# TTS_PROVIDER="openai"
+# TTS_OPEN_AI_KEY=sk-example
+# TTS_OPEN_AI_VOICE_MODEL=nova
+
+# TTS_PROVIDER="generic-openai"
+# TTS_OPEN_AI_COMPATIBLE_KEY=sk-example
+# TTS_OPEN_AI_COMPATIBLE_VOICE_MODEL=nova
+# TTS_OPEN_AI_COMPATIBLE_ENDPOINT="https://api.openai.com/v1"
+
+# TTS_PROVIDER="elevenlabs"
+# TTS_ELEVEN_LABS_KEY=
+# TTS_ELEVEN_LABS_VOICE_MODEL=21m00Tcm4TlvDq8ikWAM # Rachel
+
+# CLOUD DEPLOYMENT VARIRABLES ONLY
+# AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting.
+# DISABLE_TELEMETRY="false"
+
+###########################################
+######## PASSWORD COMPLEXITY ##############
+###########################################
+# Enforce a password schema for your organization users.
+# Documentation on how to use https://github.com/kamronbatman/joi-password-complexity
+# Default is only 8 char minimum
+# PASSWORDMINCHAR=8
+# PASSWORDMAXCHAR=250
+# PASSWORDLOWERCASE=1
+# PASSWORDUPPERCASE=1
+# PASSWORDNUMERIC=1
+# PASSWORDSYMBOL=1
+# PASSWORDREQUIREMENTS=4
+
+###########################################
+######## ENABLE HTTPS SERVER ##############
+###########################################
+# By enabling this and providing the path/filename for the key and cert,
+# the server will use HTTPS instead of HTTP.
+#ENABLE_HTTPS="true"
+#HTTPS_CERT_PATH="sslcert/cert.pem"
+#HTTPS_KEY_PATH="sslcert/key.pem"
+
+###########################################
+######## AGENT SERVICE KEYS ###############
+###########################################
+
+#------ SEARCH ENGINES -------
+#=============================
+#------ Google Search -------- https://programmablesearchengine.google.com/controlpanel/create
+# AGENT_GSE_KEY=
+# AGENT_GSE_CTX=
+
+#------ SearchApi.io ----------- https://www.searchapi.io/
+# AGENT_SEARCHAPI_API_KEY=
+# AGENT_SEARCHAPI_ENGINE=google
+
+#------ Serper.dev ----------- https://serper.dev/
+# AGENT_SERPER_DEV_KEY=
+
+#------ Bing Search ----------- https://portal.azure.com/
+# AGENT_BING_SEARCH_API_KEY=
+
+#------ Serply.io ----------- https://serply.io/
+# AGENT_SERPLY_API_KEY=
+
+#------ SearXNG ----------- https://github.com/searxng/searxng
+# AGENT_SEARXNG_API_URL=
+
+#------ Tavily ----------- https://www.tavily.com/
+# AGENT_TAVILY_API_KEY=
+
+###########################################
+######## Other Configurations ############
+###########################################
+
+# Disable viewing chat history from the UI and frontend APIs.
+# See https://docs.anythingllm.com/configuration#disable-view-chat-history for more information.
+# DISABLE_VIEW_CHAT_HISTORY=1
+
+# Enable simple SSO passthrough to pre-authenticate users from a third party service.
+# See https://docs.anythingllm.com/configuration#simple-sso-passthrough for more information.
+# SIMPLE_SSO_ENABLED=1
+
+# Specify the target languages for when using OCR to parse images and PDFs.
+# This is a comma separated list of language codes as a string. Unsupported languages will be ignored.
+# Default is English. See https://tesseract-ocr.github.io/tessdoc/Data-Files-in-different-versions.html for a list of valid language codes.
+# TARGET_OCR_LANG=eng,deu,ita,spa,fra,por,rus,nld,tur,hun,pol,ita,spa,fra,por,rus,nld,tur,hun,pol

anythinllm/compose.yaml

@@ -0,0 +1,17 @@
+version: "3.8"
+services:
+  anythingllm:
+    image: docker.citory.tech/mirror/mintplexlabs/anythingllm:latest
+    container_name: anythingllm
+    ports:
+      - 10504:3001
+    env_file:
+      - .env
+    cap_add:
+      - SYS_ADMIN
+    extra_hosts:
+      - host.docker.internal:host-gateway
+    restart: always
+x-dockge:
+  urls:
+    - http://local.citory.tech:10504

chattts/.env

@@ -0,0 +1 @@
+CUDA_VISIBLE_DEVICES=0,1

chattts/compose.yaml

@@ -0,0 +1,23 @@
+version: "3.8"
+services:
+  lenml-chattts-forge:
+    image: docker.citory.tech/public/lenml-chattts-forge
+    container_name: lenml-chattts-forge
+    ports:
+      - 10583:7860
+    env_file: .env
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - gpu
+    restart: always
+    command: python webui.py
+    runtime: nvidia
+x-dockge:
+  urls:
+    - http://local.citory.tech:10583
+networks: {}

comfyui/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

comfyui/compose.yaml

@@ -0,0 +1,27 @@
+version: "3.8"
+services:
+  comfyui:
+    image: docker.citory.tech/mirror/yanwk/comfyui-boot:cu121
+    container_name: comfyui
+    ports:
+      - 10587:8188
+    volumes:
+      - /home/deepgeek/data/data_local/server/comfyui/storage:/home/runner
+      - /home/deepgeek/data/data_local/server/sd-models/checkpoints:/home/runner/ComfyUI/models/checkpoints
+      - /home/deepgeek/data/data_local/server/sd-models/loras:/home/runner/ComfyUI/models/loras
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - compute
+                - utility
+                - gpu
+    restart: always
+    runtime: nvidia
+x-dockge:
+  urls:
+    - http://local.citory.tech:10587
+networks: {}

gpustat-web/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

gpustat-web/compose.yaml

@@ -0,0 +1,13 @@
+version: "3.8"
+services:
+  gpustat-web:
+    image: docker.citory.tech/public/gpustat-web:10599
+    container_name: gpustat-web
+    ports:
+      - 10509:80
+    extra_hosts:
+      - host.docker.internal:host-gateway
+    restart: always
+x-dockge:
+  urls:
+    - http://local.citory.tech:10509

kodbox/.env

@@ -0,0 +1,5 @@
+MYSQL_PASSWORD=SFMhkWEZdeb6jxtel0igQGToKyJ7bHwd
+MYSQL_DATABASE=kodbox
+MYSQL_USER=kodbox
+KODBOX_ADMIN_USER=deepgeek
+KODBOX_ADMIN_PASSWORD=DeepGeek2025

kodbox/compose.yaml

@@ -0,0 +1,39 @@
+version: "3.8"
+services:
+  kodbox-db:
+    image: docker.citory.tech/mirror/mariadb:10.6
+    container_name: kodbox-db
+    restart: always
+    command: --transaction-isolation=READ-COMMITTED --log-bin=binlog --binlog-format=ROW
+    volumes:
+      - ./db:/var/lib/mysql #./db是数据库持久化目录，可以修改
+    environment:
+      - MYSQL_ROOT_PASSWORD=DeepGeek2025
+      - MARIADB_AUTO_UPGRADE=1
+      - MARIADB_DISABLE_UPGRADE_BACKUP=1
+    env_file:
+      - .env
+  kodbox:
+    image: docker.citory.tech/mirror/kodcloud/kodbox:latest
+    container_name: kodbox
+    restart: always
+    ports:
+      - 10510:80 #左边80是使用端口，可以修改
+    volumes:
+      - /home/deepgeek/data/data_base/kodbox/data:/var/www/html #./site是站点目录位置，可以修改
+    environment:
+      - MYSQL_HOST=kodbox-db
+      - REDIS_HOST=kodbox-redis
+    env_file:
+      - .env
+    depends_on:
+      - kodbox-db
+      - kodbox-redis
+  kodbox-redis:
+    image: docker.citory.tech/mirror/redis:alpine
+    container_name: kodbox-redis
+    restart: always
+x-dockge:
+  urls:
+    - http://local.citory.tech:10510
+networks: {}

nlp/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

nlp/compose.yaml

@@ -0,0 +1,17 @@
+version: "3.8"
+services:
+  toolbox-nlp:
+    image: docker.citory.tech/public/toolbox-nlp:1.0.1
+    container_name: toolbox-nlp
+    ports:
+      - 10584:8080
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - gpu
+    restart: always
+    runtime: nvidia

ollama/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

ollama/compose.yaml

@@ -0,0 +1,22 @@
+version: "3.9"
+services:
+  ollama:
+    image: docker.citory.tech/mirror/ollama/ollama:latest
+    container_name: ollama
+    ports:
+      - 10581:11434
+    runtime: nvidia
+    volumes:
+      - /home/deepgeek/data/data_local/server/ollama:/root/.ollama
+    environment:
+      NVIDIA_VISIBLE_DEVICES: all
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - capabilities:
+                - gpu
+x-dockge:
+  urls:
+    - http://local.citory.tech:10581
+networks: {}

open-webui/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

open-webui/compose.yaml

@@ -0,0 +1,22 @@
+version: "3.8"
+services:
+  open-webui:
+    image: docker.citory.tech/mirror/backplane/open-webui:0
+    container_name: open-webui
+    ports:
+      - 10503:8080
+    environment:
+      - ENABLE_RAG_WEB_SEARCH=true
+      - RAG_WEB_SEARCH_ENGINE=duckduckgo
+      - ENABLE_OLLAMA_API=false
+      - OPENAI_API_KEY=1ZfFN6nICGfMAUhPKwRbpmbwnd9aYkwT8RbluK32ASpPZgglPhdmLv4zDHh7BebQ # 替换为您的 OpenAI API 密钥
+      - WHISPER_MODEL=large
+      - OPENAI_API_BASE_URL=http://host.docker.internal:10580/v1 # 替换为您的 VLLM IP 和端口
+    volumes:
+      - ./data/:/app/backend/data
+    extra_hosts:
+      - host.docker.internal:host-gateway
+    restart: always
+x-dockge:
+  urls:
+    - http://local.citory.tech:10503

owlsam/.env

@@ -0,0 +1 @@
+CUDA_VISIBLE_DEVICES=0,1

owlsam/compose.yaml

@@ -0,0 +1,21 @@
+version: "3.8"
+services:
+  owlsam:
+    image: docker.citory.tech/public/toolbox-owlsam:1.0.1
+    container_name: owlsam
+    ports:
+      - 10582:8080
+    env_file: .env
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - gpu
+    restart: always
+    runtime: nvidia
+x-dockge:
+  urls:
+    - http://local.citory.tech:10582

portainer/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

portainer/compose.yaml

@@ -0,0 +1,15 @@
+version: "3.8"
+services:
+  portainer:
+    image: docker.citory.tech/mirror/6053537/portainer-ce:latest
+    container_name: portainer
+    ports:
+      - 10507:9000
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock
+      - /var/lib/docker/volumes:/var/lib/docker/volumes
+      - ./data:/data
+    restart: always
+x-dockge:
+  urls:
+    - http://local.citory.tech:10507

stable-diffusion-webui/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

stable-diffusion-webui/compose.yaml

@@ -0,0 +1,34 @@
+version: "3.9"
+services:
+  stable-diffusion-webui:
+    image: docker.citory.tech/public/stable-diffusion-webui:installed
+    container_name: stable-diffusion-webui
+    ports:
+      - 10588:7860
+    volumes:
+      - /home/deepgeek/data/data_local/server/stable-diffusion-webui-docker/data:/data
+      - /home/deepgeek/data/data_local/server/stable-diffusion-webui-docker/data/config/auto/localizations:/stable-diffusion-webui/localizations
+      - /home/deepgeek/data/data_local/server/stable-diffusion-webui-docker/output:/output
+      - /home/deepgeek/data/data_local/server/sd-models/checkpoints:/data/models/Stable-diffusion
+      - /home/deepgeek/data/data_local/server/sd-models/loras:/data/models/Lora
+    tty: true
+    environment:
+      - CUDA_LAUNCH_BLOCKING=1
+      - COMMANDLINE_ARGS="--api"
+      - COMMANDLINE_ARGS="--enable-insecure-extension-access"
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - compute
+                - utility
+                - gpu
+    restart: always
+    runtime: nvidia
+x-dockge:
+  urls:
+    - http://local.citory.tech:10588
+networks: {}

sun-panel/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

sun-panel/compose.yaml

@@ -0,0 +1,18 @@
+version: "3.8"
+services:
+  sun-panel:
+    image: docker.citory.tech/mirror/hslr/sun-panel:latest
+    container_name: sun-panel
+    volumes:
+      - ./conf:/app/conf
+      - /var/run/docker.sock:/var/run/docker.sock # 挂载docker.sock
+      - ./runtime:/app/runtime # 挂载日志目录
+      - /mnt/data_base:/os # 硬盘挂载点（根据自己需求修改）
+      - /:/system # 硬盘挂载点（根据自己需求修改）
+    ports:
+      - 10500:3002
+    restart: always
+networks: {}
+x-dockge:
+  urls:
+    - http://local.citory.tech:10500

sun-panel/conf/uploads/2025/3/16/46c41a6f2049ea26e483ccf6542947f4.svg

@@ -0,0 +1 @@
+<svg height="1em" style="flex:none;line-height:1" viewBox="0 0 24 24" width="1em" xmlns="http://www.w3.org/2000/svg"><title>vLLM</title><path d="M0 4.973h9.324V23L0 4.973z" fill="#FDB515"></path><path d="M13.986 4.351L22.378 0l-6.216 23H9.324l4.662-18.649z" fill="#30A2FF"></path></svg>

sun-panel/conf/uploads/2025/3/16/7e9970e7aa0c31f2e71f416bcfc0b281.svg

@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
+<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
+<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" width="640" height="640" viewBox="0 0 640 640" xml:space="preserve">
+<desc>Created with Fabric.js 5.3.0</desc>
+<defs>
+</defs>
+<g transform="matrix(0.9544918218 0 0 0.9544918218 320 325.5657767239)" id="0UAuLmXgnot4bJxVEVJCQ"  >
+<linearGradient id="SVGID_136_0" gradientUnits="userSpaceOnUse" gradientTransform="matrix(1 0 0 1 -236.6470440833 -213.9441386034)"  x1="259.78" y1="261.15" x2="463.85" y2="456.49">
+<stop offset="0%" style="stop-color:#74C2FF;stop-opacity: 1"/>
+<stop offset="100%" style="stop-color:rgb(134,230,169);stop-opacity: 1"/>
+</linearGradient>
+<path style="stroke: rgb(242,242,242); stroke-opacity: 0.51; stroke-width: 190; stroke-dasharray: none; stroke-linecap: butt; stroke-dashoffset: 0; stroke-linejoin: miter; stroke-miterlimit: 4; fill: url(#SVGID_136_0); fill-rule: nonzero; opacity: 1;"  transform=" translate(0, 0)" d="M 131.8665 -139.04883 C 159.01022 -111.20969000000001 170.12421 -99.45396000000001 203.11849999999998 -51.72057000000001 C 236.1128 -3.9871800000000093 264.44147999999996 83.98416999999998 187.33995 144.05073 C 177.72728999999998 151.53955 166.73827 158.81189999999998 154.65932999999998 165.65812999999997 C 69.85514999999998 213.72433999999998 -68.67309000000003 240.78578 -161.79279 174.28328999999997 C -268.17583 98.30862999999997 -260.10282 -68.66557000000003 -144.35093 -170.50579000000005 C -28.599040000000002 -272.34602000000007 104.72278 -166.88797000000005 131.86649999999997 -139.04883000000004 z" stroke-linecap="round" />
+</g>
+</svg>

toolbox-ocr/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

toolbox-ocr/compose.yaml

@@ -0,0 +1,20 @@
+version: "3.8"
+services:
+  toolbox-ocr:
+    image: docker.citory.tech/public/toolbox-ocr:1.0.0
+    container_name: toolbox-ocr
+    ports:
+      - 10585:8080
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities:
+                - gpu
+    restart: always
+    runtime: nvidia
+x-dockge:
+  urls:
+    - http://local.citory.tech:10585

vllm/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

vllm/compose.yaml

@@ -0,0 +1,32 @@
+version: "3.8"
+services:
+  vllm:
+    image: docker.citory.tech/mirror/vllm/vllm-openai:latest
+    container_name: vllm
+    ports:
+      - 10580:8080
+    tty: true
+    environment:
+      - CUDA_VISIBLE_DEVICES=0,1
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 2
+              capabilities:
+                - gpu
+    ipc: host
+    runtime: nvidia
+    volumes:
+      - /home/deepgeek/data/data_local/server/vllm/models:/models
+    restart: always
+    command: --served-model-name DeepSeek-R1-Distill-Llama-70B-AWQ --model
+      /models/Valdemardi/DeepSeek-R1-Distill-Llama-70B-AWQ --trust-remote-code
+      --host 0.0.0.0 --port 8080 --max-model-len 8192 --tensor-parallel-size 2
+      --gpu_memory_utilization 0.96 --enforce-eager --dtype auto --swap-space 8
+      --api-key
+      "O8Is3NSYnp5fICWFbhkbwpLWgvMLkdCSuXR5ZggLmgwTKNPEWsjx1NqUxkyU7wLX"
+x-dockge:
+  urls:
+    - http://local.citory.tech:10580

watchtower/.env

@@ -0,0 +1 @@
+# VARIABLE=value #comment

watchtower/compose.yaml

@@ -0,0 +1,9 @@
+version: "3.8"
+services:
+  watchtower:
+    container_name: watchtower
+    image: docker.citory.tech/mirror/containrrr/watchtower:latest
+    volumes:
+      - /var/run/docker.sock:/var/run/docker.sock
+    command: --interval 3600  # 每小时检查一次[[1,10]]
+networks: {}