update readme

Dockerfile.a100

@@ -1,5 +1,5 @@
-FROM harbor-contest.4pd.io/zhangyiqun/public/pytorch:2.6.0-cuda12.4-cudnn9-devel
+FROM pytorch/pytorch:2.6.0-cuda12.4-cudnn9-devel
 WORKDIR /workspace
 # ENV PT_SDPA_ENABLE_HEAD_DIM_PADDING=1
-RUN pip install diffusers transformers sentencepiece -i https://nexus.4pd.io/repository/pypi-all/simple
+RUN pip install diffusers transformers sentencepiece
 COPY main.py test.sh dataset.json /workspace/

Dockerfile.mlu370

@@ -0,0 +1,8 @@
+FROM git.modelhub.org.cn:9443/enginex-cambricon/mlu370-pytorch:v25.01-torch2.5.0-torchmlu1.24.1-ubuntu22.04-py310
+
+WORKDIR /workspace
+ENV PATH=/torch/venv3/pytorch_infer/bin:/workspace/ffmpeg-mlu-v4.2.0/install/bin:/usr/local/neuware/bin:/usr/local/openmpi/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
+
+RUN pip install diffusers==0.34.0
+RUN sed -i 's|source /torch/venv3/pytorch/bin/activate|source /torch/venv3/pytorch_infer/bin/activate|' /root/.bashrc
+COPY main.py test.sh dataset.json /workspace/

Dockerfile.mrv100

@@ -1,7 +1,5 @@
 FROM git.modelhub.org.cn:980/enginex-iluvatar/mr100_corex:4.3.0
 
 WORKDIR /workspace
-COPY whls-mrv100 /packages
 RUN pip install diffusers==0.34.0 sentencepiece transformers==4.55.2
-# RUN pip install /packages/*.whl
 COPY main.py test.sh dataset.json /workspace/

README.md

@@ -1,24 +1,19 @@
-## Installation
-参考Dockerfile，构建运行镜像
-
 ## Quickstart
 
-### 测试程序
-1. 下载模型：https://modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5
-
-2. 运行测试程序
-
-修改测试程序`test.py`里面的模型路径，直接执行即可
-
+### 构建镜像
 ```bash
-python3 test.py
+docker build -t diffusers:v0.1 .
 ```
 
-### 批量测试程序
-1. 准备输入数据集`dataset.json`，可以参考示例`dataset.json`
-2. 运行测试程序
+### 模型下载
+模型地址：https://modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5
+并放到目录：`/mnt/contest_ceph/zhanghao/models/stable-diffusion-v1-5`（如更改目录，请修改后面的执行脚本中的模型路径）
+
+### 测试程序
+1. 准备输入数据集，可以参考示例`dataset.json`
+2. 在docker镜像里运行测试程序，会根据`dataset.json`内容，在`output`目录下生成图片文件。
 ```bash
-python3 main.py --model "/mnt/contest_ceph/zhanghao/models/stable-diffusion-v1-5" --json  "dataset.json" --results "results.json" --outdir "output" --device cuda --dtype fp16
+./run_in_docker.sh
 ```
 
 ## 测试结果

run_in_docker.sh

@@ -1,3 +1,3 @@
 #! /usr/bin/env bash
-image=harbor-contest.4pd.io/zhanghao/diffusers:bi100-0.2
-docker run -it -v /root/zhanghao:/workspace -v /mnt:/mnt --device=dev/iluvatar1:/dev/iluvatar0 $image bash
+image=diffusers:v0.1
+docker run -v /mnt/contest_ceph/zhanghao/models/stable-diffusion-v1-5:/workspace/stable-diffusion-v1-5 --device=dev/iluvatar1:/dev/iluvatar0 $image python3 main.py --model "./stable-diffusion-v1-5" --json  "dataset.json" --results "results.json" --outdir "output" --device cuda --dtype fp16

run_in_docker_bi100.sh

@@ -0,0 +1,3 @@
+#! /usr/bin/env bash
+image=harbor-contest.4pd.io/zhanghao/diffusers:bi100-0.2
+docker run -it -v /root/zhanghao:/workspace -v /mnt:/mnt --device=dev/iluvatar1:/dev/iluvatar0 $image bash

run_in_docker_mlu370.sh

@@ -0,0 +1,5 @@
+#! /usr/bin/env bash
+# cnmon
+image=harbor-contest.4pd.io/zhanghao/diffusers:mlu370-0.2
+device_id=2
+docker run -it -v /root/zhanghao:/workspace -v /mnt:/mnt --device=/dev/cambricon_dev$device_id:/dev/cambricon_dev0 --device=/dev/cambricon_ctl:/dev/cambricon_ctl $image bash