Skip to content

Latest commit

 

History

History
77 lines (51 loc) · 3.43 KB

README.md

File metadata and controls

77 lines (51 loc) · 3.43 KB

Stable Diffusion 3.5 Large

📖 Introduction

Stable Diffusion 3.5 Large is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.

Task Type Description
Text to Image A task to generate images from text inputs. Generally, the task takes descriptive text prompts as the input, and outputs generated images in Base64 format based on the text prompts.

🔄 Compatibility Matrix

To ensure smooth integration, please refer to the compatibility matrix below. It outlines the compatible versions of the model, instill-core, and the python-sdk.

Model Version Instill-Core Version Python-SDK Version
v0.1.0 >v0.46.0-beta >0.16.0

Note: Always ensure that you are using compatible versions to avoid unexpected issues.

🚀 Preparation

Follow this guide to get your custom model up and running! But before you do that, please read through the following sections to have all the necessary files ready.

Install Python SDK

Install the compatible python-sdk version according to the compatibility matrix:

pip install instill-sdk=={version}

Get model weights

To download the fine-tuned model weights, please execute the following command:

git clone https://huggingface.co/stabilityai/stable-diffusion-3.5-large

Test model image

After you've built the model image, and before pushing the model onto any Instill Core instance, you can test if the model can be successfully run locally first, by running the following command:

instill run instill-ai/sd35large -g -i '{"prompt": "cat napping"}'

The input payload should strictly follow the the below format

{
  "prompt": "..."
}

A successful response will return a similar output to that shown below.

2024-09-11 02:23:19,079.079 INFO     [Instill] Starting model image...
2024-09-11 02:23:29,503.503 INFO     [Instill] Deploying model...
2024-09-11 02:25:28,298.298 INFO     [Instill] Running inference...
2024-09-11 02:25:45,534.534 INFO     [Instill] Outputs:
[{'data': {'choices': [{'finish-reason': 'success',
                        'image': 'data:image/jpeg;base64,/9j/7gAOQWRvY...'}]}}]
2024-09-11 02:25:46,962.962 INFO     [Instill] Done

Here is the list of flags supported by instill run command

  • -t, --tag: tag for the model image, default to latest
  • -g, --gpu: to pass through GPU from host into container or not, depends on if gpu is enabled in the config.
  • -i, --input: input in json format

Happy Modeling! 💡