Update README.md

README.md

@@ -62,55 +62,30 @@ accelerate launch --num_cpu_threads_per_process 4 flux_train_network.py --networ
 ```
 
 --Continued training from sumeshi flux.1s v002E--
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 1. remove double blocks 18 / single blocks 34,35,36,37 / guidance_in (sumeshi flux.1s has zero tensor)
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 2. 3,893images (res1024 bs2 /res512 bs8 acc2 warmup50 --lr_scheduler="cosine_with_restarts" --lr_scheduler_num_cycles 1 --discrete_flow_shift 1.8) 4epochs
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 3. merged into model
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 4. remove double blocks 16,17 / single blocks 32,33
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 5. 3,893images (res1024 bs2 /res512 bs8 acc1 warmup50 --lr_scheduler="cosine_with_restarts" --lr_scheduler_num_cycles 2 --discrete_flow_shift 1.8) 2epochs
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-6. merged into model
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+6. merged into model  
 7. remove double blocks 14,15 / single blocks 28,29,30,31
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 8. 3,893images (res1024 bs2 /res512 bs8 acc2 warmup50 --lr_scheduler="cosine_with_restarts" --lr_scheduler_num_cycles 2 --discrete_flow_shift 1.8) 2epochs
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 9. merged into model
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 10. remove double blocks 12,13 / single blocks 24,25,26,27
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 11. 3,893images (res1024 bs2 /res512 bs8 acc2 warmup50 --lr_scheduler="cosine_with_restarts" --lr_scheduler_num_cycles 2 --discrete_flow_shift 1.8) 2epochs
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 12. merged into model
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 13. 3,893images (Full-finetuned res1024 bs1 acc1 afafactor --optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" lr5e-6 warmup100 max_grad_norm 0.0 discrete_flow_shift 2) 2epochs
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 14. 12,000images (res1024 bs2 acc5 warmup100 --discrete_flow_shift 2) 1epochs
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 15. 12,000images (res1024 bs2 acc3 warmup100 --discrete_flow_shift 2) 2epochs
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 16. merged into model
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 17. 12,000images (res1024 bs2 acc3 warmup100 --discrete_flow_shift 2.5) 3epochs
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 18. 12,000images (res1024 bs2 acc3 warmup100 --discrete_flow_shift 2.5) 3epochs
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 19. 12,000images (res512 bs8 acc1 warmup100 timestep_sampling flux_shift(fixed ver.) ) 12epochs
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 20. merged into model
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 21. 12,000images (res512 bs4 acc1 warmup100 timesteps_sampling sigmoid sigmoid_scale 0.75) 7epochs
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 22. 3,893images (res512 bs4 acc1 warmup100 timesteps_sampling sigmoid sigmoid_scale 0.6 --caption_dropout_rate 0.1) 16epochs
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 23. merged into model
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 24. 3,893images (res1024 bs2 / res512 bs4 acc2 warmup100 unet_lr1e-4 te_lr5e-5 timesteps_sampling sigmoid sigmoid_scale 0.6 --caption_dropout_rate 0.1) 6epochs
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 25. merged into model and CLIP_L
 
 ## Resources (License)