AMD Radeon Stable Diffusion container

Clone a repository including its submodule.

git clone --recursive [email protected]:Gedweb/Stable-diffusion-radeon.git

Download a model and put into model directory with name model.ckpt or you cant define path to file by command option.

Run docker-compose run -it rocm and wait for building done, after try generate image by the prompt

python scripts/txt2img.py --plms --ddim_steps 200 --seed 1 --prompt "a photograph of an astronaut riding a horse" 

The following describes an example where a rough sketch made in Pinta is converted into a detailed artwork.

python scripts/img2img.py --prompt --ddim_steps 200 --seed 1 --prompt "A fantasy landscape, trending on artstation" --init-img inputs/<file-name-img.jpg> --strength 0.8

Here, strength is a value between 0.0 and 1.0, that controls the amount of noise that is added to the input image.

By default, this uses a guidance scale of --scale 7.5, Katherine Crowson's implementation of the PLMS sampler, and renders images of size 512x512 (which it was trained on) in 50 steps. All supported arguments are listed below (type python scripts/txt2img.py --help).

Directory structure

• inputs just segregation for img2img
• model contains diffusion model
• outputs results
• cache mounted to avoid download on next run