stable diffusion in docker

We have hosted the application stable diffusion in docker in order to run this application in our online workstations with Wine or directly.

Quick description about stable diffusion in docker:

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: