This is the Windows app named Stable Diffusion in Docker whose latest release can be downloaded as v1.41.0.zip. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Stable Diffusion in Docker
DESCRIPTION:
Run the Stable Diffusion releases in a Docker container with txt2img, img2img, depth2img, pix2pix, upscale4x, and inpaint. Run the Stable Diffusion releases on Huggingface in a GPU-accelerated Docker container. By default, the pipeline uses the full model and weights which requires a CUDA capable GPU with 8GB+ of VRAM. It should take a few seconds to create one image. On less powerful GPUs you may need to modify some of the options; see the Examples section for more details. If you lack a suitable GPU you can set the options --device cpu and --onnx instead. Since it uses the model, you will need to create a user access token in your Huggingface account. Save the user access token in a file called token.txt and make sure it is available when building the container. Create an image from an existing image and a text prompt. Modify an existing image with its depth map and a text prompt.
Features
- Text-to-Image (txt2img)
- Depth-Guided Diffusion (depth2img)
- Image-to-Image (img2img)
- Instruct Pix2Pix (pix2pix)
- Image Upscaling (upscale4x)
- Diffusion Inpainting (inpaint)
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/stable-diffusion-docker.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.