From 1d566eadde1a64fa0ac4ba90d621f89c4ad1748b Mon Sep 17 00:00:00 2001 From: esparig <5576714+esparig@users.noreply.github.com> Date: Tue, 26 Nov 2024 18:10:32 +0100 Subject: [PATCH] Uploaded example for stable diffusion --- examples/stable-diffusion/Dockerfile | 21 ++++++++++++++ examples/stable-diffusion/README.md | 31 +++++++++++++++++++++ examples/stable-diffusion/prompt.txt | 1 + examples/stable-diffusion/prompt.txt.png | Bin 0 -> 391565 bytes examples/stable-diffusion/script.sh | 9 ++++++ examples/stable-diffusion/stable-diff.yaml | 17 +++++++++++ 6 files changed, 79 insertions(+) create mode 100644 examples/stable-diffusion/Dockerfile create mode 100644 examples/stable-diffusion/README.md create mode 100644 examples/stable-diffusion/prompt.txt create mode 100644 examples/stable-diffusion/prompt.txt.png create mode 100644 examples/stable-diffusion/script.sh create mode 100644 examples/stable-diffusion/stable-diff.yaml diff --git a/examples/stable-diffusion/Dockerfile b/examples/stable-diffusion/Dockerfile new file mode 100644 index 00000000..65bdbd95 --- /dev/null +++ b/examples/stable-diffusion/Dockerfile @@ -0,0 +1,21 @@ +FROM nvidia/cuda:11.8.0-cudnn8-runtime-ubuntu22.04 + +RUN apt update && \ + apt install -y --no-install-recommends git wget python3-pip && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +RUN git clone https://github.com/srisco/stable-diffusion-tensorflow.git + +WORKDIR stable-diffusion-tensorflow + +RUN pip install -r requirements.txt && \ + rm -rf /root/.cache/pip/* && \ + rm -rf /tmp/* + +# DOWNLOAD WEIGHTS +RUN mkdir -p /root/.keras/datasets && \ + wget https://huggingface.co/fchollet/stable-diffusion/resolve/main/text_encoder.h5 -O /root/.keras/datasets/text_encoder.h5 && \ + wget https://huggingface.co/fchollet/stable-diffusion/resolve/main/diffusion_model.h5 -O /root/.keras/datasets/diffusion_model.h5 && \ + wget https://huggingface.co/fchollet/stable-diffusion/resolve/main/decoder.h5 -O /root/.keras/datasets/decoder.h5 && \ + wget https://huggingface.co/divamgupta/stable-diffusion-tensorflow/resolve/main/encoder_newW.h5 -O /root/.keras/datasets/encoder_newW.h5 diff --git a/examples/stable-diffusion/README.md b/examples/stable-diffusion/README.md new file mode 100644 index 00000000..3f8b7512 --- /dev/null +++ b/examples/stable-diffusion/README.md @@ -0,0 +1,31 @@ +# Stable Diffusion + +This example is based on a Keras / Tensorflow implementation of Stable Diffusion. The following repositories were used for the creation of the image: + +* [srisco/stable-diffusion-tensorflow](https://github.com/srisco/stable-diffusion-tensorflow) +* [huggingface.co/fchollet/stable-diffusion](https://huggingface.co/fchollet/stable-diffusion) +* [huggingface.co/divamgupta/stable-diffusion-tensorflow](https://huggingface.co/divamgupta/stable-diffusion-tensorflow/) + +The image if pushed to a public github registry [here](ghcr.io/grycap/stable-diffusion-tf:latest) but you can see the Dockerfile that generates it [here](Dockerfile). + +## Deploy an OSCAR cluster +Follow the instructions in the documentation for your desired IaaS cloud provider. +[See Deployment](https://docs.oscar.grycap.net/) + +## Create the OSCAR Service + +The Service can be created using the OSCAR GUI by providing the [FDL](stable-diff.yaml) and the [script.sh](script.sh) file. + +![OSCAR GUI Creation of a service](https://oscar.grycap.net/images/blog/post-20210803-1/create_service_gui.png) + +## Upload the input file to the MinIO bucket + +Once the service is created, you can upload the input file to the bucket. 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