## Download weights - download original weights(.ckpt or .safetensors). For example - Stable Diffusion v1.4 from https://huggingface.co/CompVis/stable-diffusion-v-1-4-original - Stable Diffusion v1.5 from https://huggingface.co/runwayml/stable-diffusion-v1-5 - Stable Diffuison v2.1 from https://huggingface.co/stabilityai/stable-diffusion-2-1 - Stable Diffusion 3 2B from https://huggingface.co/stabilityai/stable-diffusion-3-medium ### txt2img example ```sh ./bin/sd -m ../models/sd-v1-4.ckpt -p "a lovely cat" # ./bin/sd -m ../models/v1-5-pruned-emaonly.safetensors -p "a lovely cat" # ./bin/sd -m ../models/sd_xl_base_1.0.safetensors --vae ../models/sdxl_vae-fp16-fix.safetensors -H 1024 -W 1024 -p "a lovely cat" -v # ./bin/sd -m ../models/sd3_medium_incl_clips_t5xxlfp16.safetensors -H 1024 -W 1024 -p 'a lovely cat holding a sign says \"Stable Diffusion CPP\"' --cfg-scale 4.5 --sampling-method euler -v --clip-on-cpu # ./bin/sd --diffusion-model ../models/flux1-dev-q3_k.gguf --vae ../models/ae.sft --clip_l ../models/clip_l.safetensors --t5xxl ../models/t5xxl_fp16.safetensors -p "a lovely cat holding a sign says 'flux.cpp'" --cfg-scale 1.0 --sampling-method euler -v --clip-on-cpu # ./bin/sd -m ..\models\sd3.5_large.safetensors --clip_l ..\models\clip_l.safetensors --clip_g ..\models\clip_g.safetensors --t5xxl ..\models\t5xxl_fp16.safetensors -H 1024 -W 1024 -p 'a lovely cat holding a sign says \"Stable diffusion 3.5 Large\"' --cfg-scale 4.5 --sampling-method euler -v --clip-on-cpu ``` Using formats of different precisions will yield results of varying quality. | f32 | f16 |q8_0 |q5_0 |q5_1 |q4_0 |q4_1 | | ---- |---- |---- |---- |---- |---- |---- | | ![](../assets/f32.png) |![](../assets/f16.png) |![](../assets/q8_0.png) |![](../assets/q5_0.png) |![](../assets/q5_1.png) |![](../assets/q4_0.png) |![](../assets/q4_1.png) | ### img2img example - `./output.png` is the image generated from the above txt2img pipeline ``` ./bin/sd -m ../models/sd-v1-4.ckpt -p "cat with blue eyes" -i ./output.png -o ./img2img_output.png --strength 0.4 ```