Added services for invoke and sygil AMD

docker-compose.nvidia.yml

@@ -1,76 +0,0 @@
-version: '3.9'
-
-x-base_service:
-  &base_service
-  ports:
-    - "7860:7860"
-  volumes:
-    - &v1 ./data:/data
-    - &v2 ./output:/output
-  stop_signal: SIGINT
-  deploy:
-    resources:
-      reservations:
-        devices:
-          - driver: nvidia
-            device_ids: [ '0' ]
-            capabilities: [ gpu ]
-
-name: webui-docker
-
-services:
-  download:
-    build: ./services/download/
-    profiles: [ "download" ]
-    volumes:
-      - *v1
-
-  auto:
-    &automatic
-    <<: *base_service
-    profiles: [ "auto" ]
-    build: ./services/AUTOMATIC1111
-    image: sd-auto:47
-    environment:
-      - CLI_ARGS=--allow-code --medvram --xformers --enable-insecure-extension-access --api
-
-  auto-amd:
-    &automatic
-    <<: *base_service
-    profiles: [ "auto-amd" ]
-    build: ./services/AUTOMATIC1111-AMD
-    image: sd-auto:47
-    environment:
-      - CLI_ARGS=--allow-code --medvram --enable-insecure-extension-access --api --no-half --precision full --opt-sub-quad-attention
-
-  auto-cpu:
-    <<: *automatic
-    profiles: [ "auto-cpu" ]
-    deploy: {}
-    environment:
-      - CLI_ARGS=--no-half --precision full --allow-code --enable-insecure-extension-access --api
-
-  invoke:
-    <<: *base_service
-    profiles: [ "invoke" ]
-    build: ./services/invoke/
-    image: sd-invoke:26
-    environment:
-      - PRELOAD=true
-      - CLI_ARGS=
-
-  sygil:
-    &sygil
-    <<: *base_service
-    profiles: [ "sygil" ]
-    build: ./services/sygil/
-    image: sd-sygil:16
-    environment:
-      - CLI_ARGS=--optimized-turbo
-      - USE_STREAMLIT=0
-
-  sygil-sl:
-    <<: *sygil
-    profiles: [ "sygil-sl" ]
-    environment:
-      - USE_STREAMLIT=1

docker-compose.yml

@@ -1,6 +1,23 @@
 version: '3.9'
 
-x-base_service: &base_service
+x-base_service:
+  &base_service
+  ports:
+    - "7860:7860"
+  volumes:
+    - &v1 ./data:/data
+    - &v2 ./output:/output
+  stop_signal: SIGINT
+  deploy:
+    resources:
+      reservations:
+        devices:
+          - driver: nvidia
+            device_ids: [ '0' ]
+            capabilities: [ gpu ]
+
+x-base_service_amd:
+  &base_service_amd
   ports:
     - "7860:7860"
   volumes:
@@ -22,7 +39,8 @@ services:
     volumes:
       - *v1
 
-  auto: &automatic
+  auto:
+    &automatic
     <<: *base_service
     profiles: [ "auto" ]
     build: ./services/AUTOMATIC1111
@@ -30,6 +48,15 @@ services:
     environment:
       - CLI_ARGS=--allow-code --medvram --enable-insecure-extension-access --api
 
+  auto-amd:
+    &automatic
+    <<: *base_service_amd
+    profiles: [ "auto-amd" ]
+    build: ./services/AUTOMATIC1111-AMD
+    image: sd-auto:48
+    environment:
+      - CLI_ARGS=--allow-code --medvram --no-half --precision full --enable-insecure-extension-access --api
+
   auto-cpu:
     <<: *automatic
     profiles: [ "auto-cpu" ]
@@ -46,8 +73,17 @@ services:
       - PRELOAD=true
       - CLI_ARGS=
 
+  invoke-amd:
+    <<: *base_service_amd
+    profiles: [ "invoke-amd" ]
+    build: ./services/invoke-AMD/
+    image: sd-invoke:26
+    environment:
+      - PRELOAD=true
+      - CLI_ARGS=
 
-  sygil: &sygil
+  sygil:
+    &sygil
     <<: *base_service
     profiles: [ "sygil" ]
     build: ./services/sygil/
@@ -56,6 +92,16 @@ services:
       - CLI_ARGS=--optimized-turbo
       - USE_STREAMLIT=0
 
+  sygil-amd:
+    &sygil
+    <<: *base_service_amd
+    profiles: [ "sygil-amd" ]
+    build: ./services/sygil-AMD/
+    image: sd-sygil:16
+    environment:
+      - CLI_ARGS=--optimized-turbo
+      - USE_STREAMLIT=0
+
   sygil-sl:
     <<: *sygil
     profiles: [ "sygil-sl" ]

services/AUTOMATIC1111-AMD/Dockerfile

@@ -86,5 +86,8 @@ WORKDIR ${ROOT}
 ENV CLI_ARGS=""
 EXPOSE 7860
 ENTRYPOINT ["/docker/entrypoint.sh"]
+
+# Depending on your actual GPU you may want to comment this out.
+# Without this you may get the error "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"
 ENV HSA_OVERRIDE_GFX_VERSION=10.3.0
 CMD python -u webui.py --listen --port 7860 ${CLI_ARGS}

services/invoke-AMD/Dockerfile

@@ -0,0 +1,71 @@
+# syntax=docker/dockerfile:1
+
+FROM alpine:3.17 as xformers
+RUN apk add --no-cache aria2
+RUN aria2c -x 5 --dir / --out wheel.whl 'https://github.com/AbdBarho/stable-diffusion-webui-docker/releases/download/5.0.0/xformers-0.0.17.dev449-cp310-cp310-manylinux2014_x86_64.whl'
+
+
+
+FROM python:3.10-slim
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
+ENV DEBIAN_FRONTEND=noninteractive PIP_EXISTS_ACTION=w  PIP_PREFER_BINARY=1
+
+
+RUN --mount=type=cache,target=/root/.cache/pip pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/rocm5.2
+
+RUN apt-get update && apt-get install git -y && apt-get clean
+
+RUN git clone https://github.com/invoke-ai/InvokeAI.git /stable-diffusion
+
+WORKDIR /stable-diffusion
+
+RUN --mount=type=cache,target=/root/.cache/pip <<EOF
+git reset --hard f232068ab89bd80e4f5f3133dcdb62ea78f1d0f7
+git config --global http.postBuffer 1048576000
+egrep -v '^-e .' environments-and-requirements/requirements-lin-cuda.txt > req.txt
+pip install -r req.txt
+rm req.txt
+EOF
+
+
+# patch match:
+# https://github.com/invoke-ai/InvokeAI/blob/main/docs/installation/INSTALL_PATCHMATCH.md
+RUN <<EOF
+apt-get update
+# apt-get install build-essential python3-opencv libopencv-dev -y
+apt-get install make g++ libopencv-dev -y
+apt-get clean
+cd /usr/lib/x86_64-linux-gnu/pkgconfig/
+ln -sf opencv4.pc opencv.pc
+EOF
+
+
+ARG BRANCH=main SHA=6e0c6d9cc9f6bdbdefc4b9e94bc1ccde1b04aa42
+RUN --mount=type=cache,target=/root/.cache/pip <<EOF
+git fetch
+git reset --hard
+git checkout ${BRANCH}
+git reset --hard ${SHA}
+pip install .
+EOF
+
+
+RUN --mount=type=cache,target=/root/.cache/pip \
+  --mount=type=bind,from=xformers,source=/wheel.whl,target=/xformers-0.0.15-cp310-cp310-linux_x86_64.whl \
+  pip install -U opencv-python-headless huggingface_hub triton /xformers-0.0.15-cp310-cp310-linux_x86_64.whl && \
+  python3 -c "from patchmatch import patch_match"
+
+
+RUN touch invokeai.init
+COPY . /docker/
+
+
+ENV PYTHONUNBUFFERED=1 ROOT=/stable-diffusion PYTHONPATH="${PYTHONPATH}:${ROOT}" PRELOAD=false CLI_ARGS="" HF_HOME=/root/.cache/huggingface
+EXPOSE 7860
+ENTRYPOINT ["/docker/entrypoint.sh"]
+
+# Depending on your actual GPU you may want to comment this out.
+# Without this you may get the error "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"
+ENV HSA_OVERRIDE_GFX_VERSION=10.3.0
+CMD invokeai --web --host 0.0.0.0 --port 7860 --config /docker/models.yaml --root_dir ${ROOT} --outdir /output/invoke ${CLI_ARGS}

services/invoke-AMD/entrypoint.sh

@@ -0,0 +1,46 @@
+#!/bin/bash
+
+set -Eeuo pipefail
+
+declare -A MOUNTS
+
+# cache
+MOUNTS["/root/.cache"]=/data/.cache/
+
+# ui specific
+MOUNTS["${ROOT}/models/codeformer"]=/data/Codeformer/
+
+MOUNTS["${ROOT}/models/gfpgan/GFPGANv1.4.pth"]=/data/GFPGAN/GFPGANv1.4.pth
+MOUNTS["${ROOT}/models/gfpgan/weights"]=/data/.cache/
+
+MOUNTS["${ROOT}/models/realesrgan"]=/data/RealESRGAN/
+
+MOUNTS["${ROOT}/models/bert-base-uncased"]=/data/.cache/huggingface/transformers/
+MOUNTS["${ROOT}/models/openai/clip-vit-large-patch14"]=/data/.cache/huggingface/transformers/
+MOUNTS["${ROOT}/models/CompVis/stable-diffusion-safety-checker"]=/data/.cache/huggingface/transformers/
+
+MOUNTS["${ROOT}/embeddings"]=/data/embeddings/
+
+# hacks
+MOUNTS["${ROOT}/models/clipseg"]=/data/.cache/invoke/clipseg/
+
+for to_path in "${!MOUNTS[@]}"; do
+  set -Eeuo pipefail
+  from_path="${MOUNTS[${to_path}]}"
+  rm -rf "${to_path}"
+  mkdir -p "$(dirname "${to_path}")"
+  # ends with slash, make it!
+  if [[ "$from_path" == */ ]]; then
+    mkdir -vp "$from_path"
+  fi
+
+  ln -sT "${from_path}" "${to_path}"
+  echo Mounted $(basename "${from_path}")
+done
+
+if "${PRELOAD}" == "true"; then
+  set -Eeuo pipefail
+  invokeai-configure --skip-sd-weights --root ${ROOT} --yes
+fi
+
+exec "$@"

services/invoke-AMD/models.yaml

@@ -0,0 +1,23 @@
+# This file describes the alternative machine learning models
+# available to InvokeAI script.
+#
+# To add a new model, follow the examples below. Each
+# model requires a model config file, a weights file,
+# and the width and height of the images it
+# was trained on.
+stable-diffusion-1.5:
+  description: Stable Diffusion version 1.5
+  weights: /data/StableDiffusion/v1-5-pruned-emaonly.ckpt
+  vae: /data/VAE/vae-ft-mse-840000-ema-pruned.ckpt
+  config: ./invokeai/configs/stable-diffusion/v1-inference.yaml
+  width: 512
+  height: 512
+  default: true
+inpainting-1.5:
+  description: RunwayML SD 1.5 model optimized for inpainting
+  weights: /data/StableDiffusion/sd-v1-5-inpainting.ckpt
+  vae: /data/VAE/vae-ft-mse-840000-ema-pruned.ckpt
+  config: ./invokeai/configs/stable-diffusion/v1-inpainting-inference.yaml
+  width: 512
+  height: 512
+  default: false

services/sygil-AMD/Dockerfile

@@ -0,0 +1,49 @@
+# syntax=docker/dockerfile:1
+
+FROM python:3.8-slim
+
+SHELL ["/bin/bash", "-ceuxo", "pipefail"]
+
+ENV DEBIAN_FRONTEND=noninteractive PIP_PREFER_BINARY=1
+
+RUN --mount=type=cache,target=/root/.cache/pip pip install torch==1.13.0 torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2
+
+RUN apt-get update && apt install gcc libsndfile1 ffmpeg build-essential zip unzip git -y && apt-get clean
+
+RUN --mount=type=cache,target=/root/.cache/pip <<EOF
+git config --global http.postBuffer 1048576000
+git clone https://github.com/Sygil-Dev/sygil-webui.git stable-diffusion
+cd stable-diffusion
+git reset --hard 5291437085bddd16d752f811b6552419a2044d12
+pip install -r requirements.txt
+EOF
+
+
+ARG BRANCH=master SHA=571fb897edd58b714bb385dfaa1ad59aecef8bc7
+RUN --mount=type=cache,target=/root/.cache/pip <<EOF
+cd stable-diffusion
+git fetch
+git checkout ${BRANCH}
+git reset --hard ${SHA}
+pip install -r requirements.txt
+EOF
+
+RUN --mount=type=cache,target=/root/.cache/pip pip install -U 'transformers>=4.24'
+
+# add info
+COPY . /docker/
+RUN <<EOF
+python /docker/info.py /stable-diffusion/frontend/frontend.py
+chmod +x /docker/mount.sh /docker/run.sh
+# streamlit
+sed -i -- 's/8501/7860/g' /stable-diffusion/.streamlit/config.toml
+EOF
+
+WORKDIR /stable-diffusion
+ENV PYTHONPATH="${PYTHONPATH}:${PWD}" STREAMLIT_SERVER_HEADLESS=true USE_STREAMLIT=0 CLI_ARGS=""
+EXPOSE 7860
+
+# Depending on your actual GPU you may want to comment this out.
+# Without this you may get the error "hipErrorNoBinaryForGpu: Unable to find code object for all current devices!"
+ENV HSA_OVERRIDE_GFX_VERSION=10.3.0
+CMD /docker/mount.sh && /docker/run.sh

services/sygil-AMD/info.py

@@ -0,0 +1,13 @@
+import sys
+from pathlib import Path
+
+file = Path(sys.argv[1])
+file.write_text(
+  file.read_text()\
+  .replace('<p>For help and advanced usage guides,', """
+  <p>
+    Created using <a href="https://github.com/AbdBarho/stable-diffusion-webui-docker">stable-diffusion-webui-docker</a>.
+  </p>
+  <p>For help and advanced usage guides,
+""", 1)
+)

services/sygil-AMD/mount.sh

@@ -0,0 +1,32 @@
+#!/bin/bash
+
+set -Eeuo pipefail
+
+declare -A MOUNTS
+
+ROOT=/stable-diffusion/src
+
+# cache
+MOUNTS["/root/.cache"]=/data/.cache
+# ui specific
+MOUNTS["${PWD}/models/realesrgan"]=/data/RealESRGAN
+MOUNTS["${PWD}/models/ldsr"]=/data/LDSR
+MOUNTS["${PWD}/models/custom"]=/data/StableDiffusion
+
+# hack
+MOUNTS["${PWD}/models/gfpgan/GFPGANv1.3.pth"]=/data/GFPGAN/GFPGANv1.4.pth
+MOUNTS["${PWD}/models/gfpgan/GFPGANv1.4.pth"]=/data/GFPGAN/GFPGANv1.4.pth
+MOUNTS["${PWD}/gfpgan/weights"]=/data/.cache
+
+
+for to_path in "${!MOUNTS[@]}"; do
+  set -Eeuo pipefail
+  from_path="${MOUNTS[${to_path}]}"
+  rm -rf "${to_path}"
+  mkdir -p "$(dirname "${to_path}")"
+  ln -sT "${from_path}" "${to_path}"
+  echo Mounted $(basename "${from_path}")
+done
+
+# streamlit config
+ln -sf /docker/userconfig_streamlit.yaml /stable-diffusion/configs/webui/userconfig_streamlit.yaml

services/sygil-AMD/run.sh

@@ -0,0 +1,10 @@
+#!/bin/bash
+
+set -Eeuo pipefail
+
+echo "USE_STREAMLIT = ${USE_STREAMLIT}"
+if [ "${USE_STREAMLIT}" == "1" ]; then
+  python -u -m streamlit run scripts/webui_streamlit.py
+else
+  python3 -u scripts/webui.py --outdir /output --ckpt /data/StableDiffusion/v1-5-pruned-emaonly.ckpt ${CLI_ARGS}
+fi

services/sygil-AMD/userconfig_streamlit.yaml

@@ -0,0 +1,11 @@
+# https://github.com/Sygil-Dev/sygil-webui/blob/master/configs/webui/webui_streamlit.yaml
+general:
+  version: 1.24.6
+  outdir: /output
+  default_model: "Stable Diffusion v1.5"
+  default_model_path: /data/StableDiffusion/v1-5-pruned-emaonly.ckpt
+  outdir_txt2img: /output/txt2img
+  outdir_img2img: /output/img2img
+  outdir_img2txt: /output/img2txt
+  optimized: True
+  optimized_turbo: True