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pipeline_cls
stringlengths
23
35
ckpt_id
stringlengths
14
43
batch_size
int64
1
1
num_inference_steps
int64
1
50
model_cpu_offload
bool
1 class
run_compile
bool
2 classes
time (secs)
stringlengths
12
15
memory (gbs)
stringlengths
13
15
actual_gpu_memory (gbs)
float64
22
22
github_sha
stringclasses
1 value
StableDiffusionImg2ImgPipeline
Lykon/DreamShaper
1
50
false
false
2.636 (-1.13%)
3.192 (+0.25%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionImg2ImgPipeline
Lykon/DreamShaper
1
50
false
true
1.986 (-1.10%)
3.194 (0.00%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionInpaintPipeline
Lykon/DreamShaper
1
50
false
false
3.302 (-0.93%)
3.193 (0.00%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionInpaintPipeline
Lykon/DreamShaper
1
50
false
true
2.49 (-1.15%)
3.194 (+0.31%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionPipeline
Lykon/DreamShaper
1
50
false
false
3.212 (-1.02%)
3.188 (+0.25%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionPipeline
Lykon/DreamShaper
1
50
false
true
2.377 (-0.96%)
3.184 (+0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLAdapterPipeline
TencentARC/t2i-adapter-canny-sdxl-1.0
1
50
false
false
18.619 (+0.58%)
10.651 (+0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLAdapterPipeline
TencentARC/t2i-adapter-canny-sdxl-1.0
1
50
false
true
17.05 (-1.27%)
10.647 (-0.06%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionAdapterPipeline
TencentARC/t2iadapter_canny_sd14v1
1
50
false
false
3.209 (-0.77%)
3.342 (-0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionAdapterPipeline
TencentARC/t2iadapter_canny_sd14v1
1
50
false
true
3.004 (-0.79%)
3.349 (+0.27%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLControlNetPipeline
diffusers/controlnet-canny-sdxl-1.0
1
50
false
false
27.111 (+0.58%)
12.957 (-0.04%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLControlNetPipeline
diffusers/controlnet-canny-sdxl-1.0
1
50
false
true
23.136 (-0.84%)
12.859 (0.00%)
21.951
5c94937dc7561767892d711e199f874dc35df041
KandinskyV22CombinedPipeline
kandinsky-community/kandinsky-2-2-decoder
1
50
false
false
4.008 (-1.13%)
9.761 (-0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
KandinskyV22CombinedPipeline
kandinsky-community/kandinsky-2-2-decoder
1
50
false
true
3.403 (-1.68%)
9.766 (-0.38%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
latent-consistency/lcm-lora-sdxl
1
4
false
false
1.631 (-0.49%)
10.467 (0.00%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
latent-consistency/lcm-lora-sdxl
1
4
false
true
1.717 (-1.09%)
10.837 (-0.07%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionControlNetPipeline
lllyasviel/sd-controlnet-canny
1
50
false
false
4.42 (-1.01%)
3.903 (-0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionControlNetPipeline
lllyasviel/sd-controlnet-canny
1
50
false
true
3.268 (-1.27%)
3.862 (-0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
segmind/SSD-1B
1
50
false
false
12.015 (-0.11%)
8.115 (+0.06%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
segmind/SSD-1B
1
50
false
true
10.386 (-0.82%)
8.11 (-0.02%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLImg2ImgPipeline
stabilityai/sdxl-turbo
1
2
false
false
0.417 (-1.65%)
7.652 (-0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLImg2ImgPipeline
stabilityai/sdxl-turbo
1
2
false
true
1.656 (-2.87%)
7.651 (-0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
stabilityai/sdxl-turbo
1
1
false
false
0.319 (+0.95%)
7.652 (-0.08%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
stabilityai/sdxl-turbo
1
1
false
true
1.508 (+0.07%)
7.652 (0.00%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLInpaintPipeline
stabilityai/stable-diffusion-xl-base-1.0
1
50
false
false
19.365 (+0.35%)
10.468 (-0.02%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLInpaintPipeline
stabilityai/stable-diffusion-xl-base-1.0
1
50
false
true
16.968 (-0.49%)
10.468 (0.00%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
stabilityai/stable-diffusion-xl-base-1.0
1
50
false
false
18.772 (+0.94%)
10.473 (+0.03%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLPipeline
stabilityai/stable-diffusion-xl-base-1.0
1
50
false
true
16.093 (-0.75%)
10.466 (+0.01%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLImg2ImgPipeline
stabilityai/stable-diffusion-xl-refiner-1.0
1
50
false
false
7.223 (+0.12%)
9.623 (+0.10%)
21.951
5c94937dc7561767892d711e199f874dc35df041
StableDiffusionXLImg2ImgPipeline
stabilityai/stable-diffusion-xl-refiner-1.0
1
50
false
true
6.4 (-0.56%)
9.623 (+0.09%)
21.951
5c94937dc7561767892d711e199f874dc35df041
WuerstchenCombinedPipeline
warp-ai/wuerstchen
1
50
false
false
4.588 (+1.66%)
6.077 (+0.07%)
21.951
5c94937dc7561767892d711e199f874dc35df041
WuerstchenCombinedPipeline
warp-ai/wuerstchen
1
50
false
true
4.502 (-1.34%)
6.07 (-0.08%)
21.951
5c94937dc7561767892d711e199f874dc35df041

Welcome to 🤗 Diffusers Benchmarks!

This is dataset where we keep track of the inference latency and memory information of the core pipelines in the diffusers library.

Currently, the core pipelines are the following:

  • Stable Diffusion and its derivatives such as ControlNet, T2I Adapter, Image-to-Image, Inpainting
  • Stable Diffusion XL and its derivatives
  • SSD-1B
  • Kandinsky
  • Würstchen
  • LCM

Note that we will continue to extend the list of core pipelines based on their API usage.

We use this GitHub Actions workflow to report the above numbers automatically. This workflow runs on a biweekly cadence.

The benchmarks are run on an A10G GPU.

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