leaderboard / pegasus /benchmark_diffusion.yaml
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Support for benchmarking of diffusion models (#31)
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# This YAML dictionary will expand into 8 (models) x 6 (batch sizes) = 48 job commands,
# where {{ model }} and {{ batch_size }} are filled in with all possible combinations.
# {{ gpu }} is defined in `hosts.yaml`, and will be filled in when Pegasus
# determines the specific node and gpu the generated job command will run on.
- command:
- docker exec leaderboard{{ gpu }} python scripts/diffusion/benchmark.py --model {{ model }} --batch_size {{ batch_size }} --warmup
model:
- runwayml/stable-diffusion-v1-5
- stabilityai/stable-diffusion-xl-base-1.0
- stabilityai/stable-diffusion-2-1
- prompthero/openjourney
- kakaobrain/karlo-v1-alpha
- kandinsky-community/kandinsky-2-2-decoder
- CompVis/ldm-text2im-large-256
- SimianLuo/LCM_Dreamshaper_v7
batch_size:
- 1
- 2
- 4
- 8
- 16
- 32