---
license: mit
language:
- en
---
![](./grid.png)

[[Open Grid]](https://files.catbox.moe/otgslr.png) | [[Open CivitAI](https://civitai.com/models/272058)] | [[Show models on HuggingFace](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/tree/main/ds6)]

Here I publish some results of my experiments and my subjective opinion about hyperparams for PonyXL while I tried to make Senko-lora for that.

Batch Size == 1  
TE LR == UNet LR  
I didn't use gradient checkpointing.  

[`<lora:senko_ds6_ponyxl_lr1_linear_prodigy_dim16_alpha8:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr1_linear_prodigy_dim16_alpha8.safetensors) overfit  
[`<lora:senko_ds6_ponyxl_lr1_linear_prodigy_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr1_linear_prodigy_dim32_alpha16.safetensors) overfit  

[`<lora:senko_ds6_ponyxl_lr1e-4_constant_adamw8_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr1e-4_constant_adamw8_dim32_alpha16.safetensors) overfit  
[`<lora:senko_ds6_ponyxl_lr1e-5_constant_adamw8_dim16_alpha1:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr1e-5_constant_adamw8_dim16_alpha1.safetensors) doesn't work  
[`<lora:senko_ds6_ponyxl_lr1e-5_constant_adamw8_dim16_alpha8:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr1e-5_constant_adamw8_dim16_alpha8.safetensors) ✅ OK  
[`<lora:senko_ds6_ponyxl_lr1e-5_constant_adamw8_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr1e-5_constant_adamw8_dim32_alpha16.safetensors) ✅ OK (published as senko-ponyxl-v2)  

[`<lora:senko_ds6_ponyxl_lr3e-4_constant_adafactor_dim16_alpha1:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr3e-4_constant_adafactor_dim16_alpha1.safetensors) ✅ OK  
[`<lora:senko_ds6_ponyxl_lr3e-4_constant_adafactor_dim16_alpha8:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr3e-4_constant_adafactor_dim16_alpha8.safetensors) ✅ OK  
[`<lora:senko_ds6_ponyxl_lr3e-4_constant_adafactor_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_lr3e-4_constant_adafactor_dim32_alpha16.safetensors) ✅ OK (published as senko-ponyxl-v1)  

[`<lora:senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim16_alpha8_conv16_convalpha_8:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim16_alpha8_conv16_convalpha_8.safetensors) breaks anatomy on complex contepts  
[`<lora:senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim16_alpha8_conv32_convalpha_16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim16_alpha8_conv32_convalpha_16.safetensors) TE overfit  
[`<lora:senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim32_alpha16_conv16_convalpha_8:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim32_alpha16_conv16_convalpha_8.safetensors) TE overfit  
[`<lora:senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim32_alpha16_conv32_convalpha_16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_ponyxl_locon_lr1_linear_prodigy_dim32_alpha16_conv32_convalpha_16.safetensors) TE overfit  

[`<lora:senko_ds6_sdxl_lr1e-5_constant_adamw8_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_sdxl_lr1e-5_constant_adamw8_dim32_alpha16.safetensors) doesn't work  
[`<lora:senko_ds6_sdxl_lr3e-4_constant_adafactor_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_sdxl_lr3e-4_constant_adafactor_dim32_alpha16.safetensors) doesn't work  
[`<lora:senko_ds6_counterfeitxl_lr1e-5_constant_adamw8_dim32_alpha16:1>`](https://huggingface.co/NeuroSenko/senko-lora-ponyxl/blob/main/ds6/senko_ds6_counterfeitxl_lr1e-5_constant_adamw8_dim32_alpha16.safetensors) doesn't work