Stable-Diffusion-Docker

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stable-diffusion-docker is an Open Source Content & Design tool that runs official Stable Diffusion releases in a Docker container. It supports various image generation tasks including text-to-image, image-to-image, and inpainting.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is stable-diffusion-docker?

stable-diffusion-docker allows users to run official Stable Diffusion releases within a Docker container, providing a versatile platform for AI-powered image generation. It supports a wide range of functionalities such as text-to-image (txt2img), image-to-image (img2img), depth-guided diffusion (depth2img), Instruct Pix2Pix (pix2pix), Stable UnCLIP Variations (unclip), image upscaling (upscale4x), and diffusion inpainting. The tool is designed for technical users who are comfortable with Docker and command-line operations, offering extensive customization options for models, image dimensions, sampling steps, and more. It requires a Huggingface token for accessing the official models and can be optimized for systems with limited GPU VRAM.

Best used for

Ideal for developers and researchers who need to experiment with and deploy Stable Diffusion models in a controlled environment. Especially valuable for those requiring advanced image manipulation capabilities like inpainting, upscaling, and various image-to-image transformations, all managed via Docker.

Common actions

generate images

modify images

upscale images

run AI models

automate image tasks

collaborationautomated workflowdeepfakelow-code/no-codeopen-sourceface swappingworkflows"AI Agents"github copilot

Capabilities

Key features

text-to-image generation
image-to-image modification
depth-guided diffusion
image upscaling
diffusion inpainting
Docker container deployment
Huggingface model support

Target Audience

developersai researchers3d artistsgraphic designers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the minimum system requirements to run stable-diffusion-docker?

By default, the tool requires a CUDA-capable GPU with 8GB+ of VRAM. For less powerful GPUs or systems without a suitable GPU, options like `--device cpu` and `--onnx` can be used, or image parameters can be adjusted to reduce memory usage.

Do I need a Huggingface token to use this tool?

Yes, since stable-diffusion-docker uses official Stable Diffusion models from Huggingface, you will need to create a user access token in your Huggingface account. This token must be provided during the build or run process.

Can I use different Stable Diffusion models with this Docker container?

Yes, the tool supports various popular models such as Stable Diffusion 1.4, 1.5, 2.0, 2.1, Stable Diffusion XL, OpenJourney, and Dreamlike Diffusion. You can specify the desired model using the `--model` option when running the script.

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