This is an automated archive made by the Lemmit Bot.
The original was posted on /r/stablediffusion by /u/protector111 on 2024-09-11 16:00:12+00:00.
Tested on Windows 10 Rtx 4090 at 60% power limit (course its hot) with pytorch version: 2.4.1+cu121 xformers version: 0.0.28.dev895 Latest comfyUI
Training Data
Euler + beta 25 steps 1216x832
Now same but with 50 steps and 2x Ultimate Upscaler (with 50 steps)
Default Dtype _ 50 steps 2x (Tiles amount: 4 50/50 [00:52<00:00, 1.05s/it]100%| 50/50 [00:42<00:00, 1.17it/s]100%| 50/50 [00:42<00:00, 1.16it/s]100%| 50/50 [00:43<00:00, 1.16it/s]Prompt executed in 191.73 seconds)
fp8_E4m3fn _ 100 | 50/50 [00:25<00:00, 1.93it/s]100%| 50/50 [00:25<00:00, 1.93it/s]100%| 50/50 [00:26<00:00, 1.92it/s]100%| 50/50 [00:26<00:00, 1.92it/s]Prompt executed in 136.41 seconds
E4m3fn _ unlike standard res - Quality and Likeness Degradation almost non-existent with 2x upsaler but render time is 55 seconds faster.
fp8_e5m2_ 100%| 50/50 [00:36<00:00, 1.36it/s]100%| 50/50 [00:36<00:00, 1.36it/s]100%| 50/50 [00:36<00:00, 1.36it/s]100%|50/50 [00:36<00:00, 1.36it/s]Prompt executed in 187.77 seconds
all Upscales side by side. quality is not that different if upscales used as well as higher steps
Next LoRA
training data
1216x832
2x upscale + crop.
Next LoRA
Training Data
1216x832 50 steps
2x upscaled and croped
training data
1216x832
1216x832
few non-human non-lora renders