PEFT
lora
adapter
Sen-sou's picture
Update README.md
2c552e9 verified
---
license: apache-2.0
base_model:
- circlestone-labs/Anima
tags:
- peft
- lora
- adapter
---
# Experimental Anima LLLite Regional Controlnet
Apply Anima ControlNet-LLLite parameters:
![image](https://cdn-uploads.huggingface.co/production/uploads/68794279700df7682fb2a81f/R8nNSAsGsJoYWhAI8IvjQ.png)
Control image example: (Use basic colors as region)
![rgthree.compare._temp_fobmy_00002_](https://cdn-uploads.huggingface.co/production/uploads/68794279700df7682fb2a81f/ahsOihVAw8QLXDtwCwRzf.png)
Prompt: (kinda works)
base prompt
region color: region prompt
## Training Parameters:
caption_extension: .txt
shuffle_caption: false
resolution: 1024
batch_size: 1
enable_bucket: true
bucket_no_upscale: true
bucket_reso_steps: 16
min_bucket_reso: 64
max_bucket_reso: 1536
num_repeats: 2
580 image/control/caption pairs
580 * 2 repeats = 1160 steps per epoch
8 epochs = 9280 total steps
learning_rate: 3e-4
max_train_epochs: 8
seed: 42
optimizer: AdamW8bit
lr_scheduler: constant
mixed_precision: bf16
save_precision: bf16
save_model_as: safetensors
save_every_n_epochs: 1
gradient_checkpointing: enabled
cache_latents_to_disk: enabled
cache_text_encoder_outputs_to_disk: enabled
vae_chunk_size: 64
vae_disable_cache: enabled
timestep_sampling: shift
discrete_flow_shift: 3.0
attn_mode: torch
cond_emb_dim: 32
lllite_cond_dim: 64
lllite_mlp_dim: 64
lllite_target_layers: self_attn_qkv
lllite_cond_resblocks: 4
lllite_use_aspp: enabled
caption_dropout_rate: 0.15