add docker support

Signed-off-by: Vladimir Mandic <mandic00@live.com>

.dockerignore

@@ -0,0 +1,26 @@
+# defaults
+.history
+.vscode/
+/__pycache__
+/.ruff_cache
+/cache
+/cache.json
+/config.json
+/extensions/*
+/html/extensions.json
+/html/themes.json
+/metadata.json
+/node_modules
+/outputs/*
+/package-lock.json
+/params.txt
+/pnpm-lock.yaml
+/styles.csv
+/tmp
+/ui-config.json
+/user.css
+/venv
+/webui-user.bat
+/webui-user.sh
+/*.log.*
+/*.log

.gitignore

@@ -74,4 +74,3 @@ dist/
 !/models/VAE-approx/model.pt
 !/models/Reference
 !/models/Reference/**/*
-

CHANGELOG.md

@@ -15,6 +15,7 @@ First, a massive update to docs including new UI top-level **info** tab with acc
 - [MiaoshouAI PromptGen v2.0](https://huggingface.co/MiaoshouAI/Florence-2-base-PromptGen-v2.0) VQA captioning
 
 **Workflow Improvements**:
+- Native Docker support
 - SD3x: ControlNets and all-in-one-safetensors
 - XYZ grid: benchmarking, video creation, etc.
 - Enhanced prompt parsing
@@ -74,6 +75,7 @@ And quite a few more improvements and fixes since the last update - for full det
     - *note*: enable *bnb* on-the-fly quantization for even bigger gains  
 
 - Workflow improvements:  
+  - Native Docker support with pre-defined [Dockerfile](https://github.com/vladmandic/automatic/blob/dev/Dockerfile)
   - XYZ grid:  
     - optional time benchmark info to individual images  
     - optional add params to individual images  

Dockerfile

@@ -0,0 +1,28 @@
+# SD.Next Dockerfile
+FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime
+# TBD add org info
+LABEL org.opencontainers.image.authors="vladmandic"
+WORKDIR /
+COPY . .
+# stop pip and uv from caching
+ENV PIP_NO_CACHE_DIR=true
+ENV UV_NO_CACHE=true
+# disable model hashing for faster startup
+ENV SD_NOHASHING=true
+# set data directories
+ENV SD_DATADIR="/mnt/data"
+ENV SD_MODELSDIR="/mnt/models"
+# install dependencies
+RUN ["apt-get", "-y", "update"]
+RUN ["apt-get", "-y", "install", "git"]
+# sdnext will run all necessary pip install ops and then exit
+RUN ["python", "launch.py", "--debug", "--uv", "--use-cuda", "--log", "sdnext.log", "--test"]
+# preinstall additional packages to avoid installation during runtime
+RUN ["uv", "pip", "install", "-r", "requirements-extra.txt"]
+# actually run sdnext
+CMD ["python", "launch.py", "--debug", "--skip-all", "--listen", "--quick", "--api-log", "--log", "sdnext.log"]
+# expose port
+EXPOSE 7860
+# TBD add healthcheck function
+HEALTHCHECK NONE
+STOPSIGNAL SIGINT

cli/api-txt2img.js

@@ -5,7 +5,7 @@
 const fs = require('fs'); // eslint-disable-line no-undef
 const process = require('process'); // eslint-disable-line no-undef
 
-const sd_url = process.env.SDAPI_URL || 'http://127.0.0.1:7860';
+const sd_url = process.env.SDAPI_URL || 'http://127.0.0.1:32769';
 const sd_username = process.env.SDAPI_USR;
 const sd_password = process.env.SDAPI_PWD;
 const sd_options = {

installer.py

@@ -459,6 +459,8 @@ def check_python(supported_minors=[9, 10, 11, 12], reason=None):
 
 # check diffusers version
 def check_diffusers():
+    if args.skip_all or args.skip_requirements:
+        return
     sha = 'dac623b59f52c58383a39207d5147aa34e0047cd'
     pkg = pkg_resources.working_set.by_key.get('diffusers', None)
     minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
@@ -474,6 +476,8 @@ def check_diffusers():
 
 # check onnx version
 def check_onnx():
+    if args.skip_all or args.skip_requirements:
+        return
     if not installed('onnx', quiet=True):
         install('onnx', 'onnx', ignore=True)
     if not installed('onnxruntime', quiet=True) and not (installed('onnxruntime-gpu', quiet=True) or installed('onnxruntime-openvino', quiet=True) or installed('onnxruntime-training', quiet=True)): # allow either
@@ -481,6 +485,8 @@ def check_onnx():
 
 
 def check_torchao():
+    if args.skip_all or args.skip_requirements:
+        return
     if installed('torchao', quiet=True):
         ver = package_version('torchao')
         if ver != '0.5.0':
@@ -492,14 +498,16 @@ def check_torchao():
 
 def install_cuda():
     log.info('CUDA: nVidia toolkit detected')
+    if not (args.skip_all or args.skip_requirements):
         install('onnxruntime-gpu', 'onnxruntime-gpu', ignore=True, quiet=True)
     # return os.environ.get('TORCH_COMMAND', 'torch torchvision --index-url https://download.pytorch.org/whl/cu124')
     return os.environ.get('TORCH_COMMAND', 'torch==2.5.1+cu124 torchvision==0.20.1+cu124 --index-url https://download.pytorch.org/whl/cu124')
 
 
 def install_rocm_zluda():
+    if args.skip_all or args.skip_requirements:
+        return
     from modules import rocm
-
     if not rocm.is_installed:
         log.warning('ROCm: could not find ROCm toolkit installed')
         log.info('Using CPU-only torch')

launch.py

@@ -204,13 +204,13 @@ def main():
     installer.check_python()
     if args.reset:
         installer.git_reset()
-    if args.skip_git:
+    if args.skip_git or args.skip_all:
         installer.log.info('Skipping GIT operations')
     installer.check_version()
     installer.log.info(f'Platform: {installer.print_dict(installer.get_platform())}')
     installer.check_venv()
     installer.log.info(f'Args: {sys.argv[1:]}')
-    if not args.skip_env:
+    if not args.skip_env or args.skip_all:
         installer.set_environment()
     if args.uv:
         installer.install("uv", "uv")

modules/shared.py

@@ -83,6 +83,8 @@ console = Console(log_time=True, log_time_format='%H:%M:%S-%f')
 dir_timestamps = {}
 dir_cache = {}
 max_workers = 8
+if os.environ.get("SD_HFCACHEDIR", None) is not None:
+    hfcache_dir = os.environ.get("SD_HFCACHEDIR")
 if os.environ.get("HF_HUB_CACHE", None) is not None:
     hfcache_dir = os.environ.get("HF_HUB_CACHE")
 elif os.environ.get("HF_HUB", None) is not None: