quatre-gigaoctets's Introduction
#local installation of stable diffusion echo please do not run this script again sleep 10000 # download the source code #git clone https://github.com/CompVis/stable-diffusion git clone https://github.com/anttad/stable-diffusion # download the weights wget [email protected] --password=****** https://huggingface.co/CompVis/stable-diffusion-v-1-1-original/resolve/main/sd-v1-1.ckpt # link the weights to the source code mkdir stable-diffusion/models/ldm/stable-diffusion-v1 ln -sr ./sd-v1-1.ckpt stable-diffusion/models/ldm/stable-diffusion-v1/model.c kpt # download the taming transformers part of the code git clone https://github.com/CompVis/taming-transformers.git # different execution options cd stable-diffusion CUDA_VISIBLE_DEVICES="" python scripts/txt2img.py --prompt "A fantasy landscape, trending on artstation" --outdir ./results --ckpt ./weights/sd-v1-1.ckpt --plms --skip_grid --n_samples 1 PYTHONPATH=.:../taming-transformers/ python scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
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