upload from sha: 42920043bb184d405fdac04316b5340877083091

collated_results.csv

@@ -0,0 +1,27 @@
+pipeline_cls,ckpt_id,batch_size,num_inference_steps,model_cpu_offload,run_compile,time (secs),memory (gbs),actual_gpu_memory (gbs),github_sha
+StableDiffusionXLAdapterPipeline,TencentARC/t2i-adapter-canny-sdxl-1.0,1,50,False,False,15.293,10.648,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLAdapterPipeline,TencentARC/t2i-adapter-canny-sdxl-1.0,1,50,False,True,14.318,10.650,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionAdapterPipeline,TencentARC/t2iadapter_canny_sd14v1,1,50,False,False,2.949,3.349,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionAdapterPipeline,TencentARC/t2iadapter_canny_sd14v1,1,50,False,True,2.637,3.339,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLControlNetPipeline,diffusers/controlnet-canny-sdxl-1.0,1,50,False,False,22.357,12.960,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLControlNetPipeline,diffusers/controlnet-canny-sdxl-1.0,1,50,False,True,19.546,12.858,21.988,42920043bb184d405fdac04316b5340877083091
+KandinskyV22CombinedPipeline,kandinsky-community/kandinsky-2-2-decoder,1,50,False,False,3.530,9.799,21.988,42920043bb184d405fdac04316b5340877083091
+KandinskyV22CombinedPipeline,kandinsky-community/kandinsky-2-2-decoder,1,50,False,True,3.213,9.765,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionControlNetPipeline,lllyasviel/sd-controlnet-canny,1,50,False,False,4.086,3.903,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionControlNetPipeline,lllyasviel/sd-controlnet-canny,1,50,False,True,2.996,3.876,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionImg2ImgPipeline,runwayml/stable-diffusion-v1-5,1,50,False,False,2.443,3.192,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionImg2ImgPipeline,runwayml/stable-diffusion-v1-5,1,50,False,True,1.863,3.183,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionInpaintPipeline,runwayml/stable-diffusion-v1-5,1,50,False,False,3.061,3.180,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionInpaintPipeline,runwayml/stable-diffusion-v1-5,1,50,False,True,2.328,3.184,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionPipeline,runwayml/stable-diffusion-v1-5,1,50,False,False,2.938,3.184,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionPipeline,runwayml/stable-diffusion-v1-5,1,50,False,True,2.207,3.183,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLPipeline,segmind/SSD-1B,1,50,False,False,10.248,8.115,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLPipeline,segmind/SSD-1B,1,50,False,True,9.042,8.111,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLInpaintPipeline,stabilityai/stable-diffusion-xl-base-1.0,1,50,False,False,16.091,10.467,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLInpaintPipeline,stabilityai/stable-diffusion-xl-base-1.0,1,50,False,True,14.394,10.467,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLPipeline,stabilityai/stable-diffusion-xl-base-1.0,1,50,False,False,15.523,10.465,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLPipeline,stabilityai/stable-diffusion-xl-base-1.0,1,50,False,True,13.766,10.465,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLImg2ImgPipeline,stabilityai/stable-diffusion-xl-refiner-1.0,1,50,False,False,6.113,9.613,21.988,42920043bb184d405fdac04316b5340877083091
+StableDiffusionXLImg2ImgPipeline,stabilityai/stable-diffusion-xl-refiner-1.0,1,50,False,True,5.741,9.615,21.988,42920043bb184d405fdac04316b5340877083091
+WuerstchenCombinedPipeline,warp-ai/wuerstchen,1,50,False,False,4.246,6.073,21.988,42920043bb184d405fdac04316b5340877083091
+WuerstchenCombinedPipeline,warp-ai/wuerstchen,1,50,False,True,4.244,6.072,21.988,42920043bb184d405fdac04316b5340877083091