RelightVid / configs /instruct_v2v_ic_inference.yaml
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diffusion:
target: pl_trainer.instruct_p2p_video.InstructP2PVideoTrainerTemporal
params:
beta_schedule_args:
beta_schedule: scaled_linear
num_train_timesteps: 1000
beta_start: 0.00085
beta_end: 0.012
clip_sample: false
thresholding: false
prediction_type: epsilon
loss_fn: l2
optim_args:
lr: 1e-5
unet_init_weights: #! 注意一下, 完全可以从iv2v的ckpt开始train
- unet/diffusion_pytorch_model.safetensors # iclight, unet, sf tensor
- pretrained_models/Motion_Module/mm_sd_v15.ckpt # motion module, 推测加载的是animatediff的
- pretrained_models/iclight/iclight_sd15_fbc.safetensors # iclight lora weights
base_path: /mnt/petrelfs/fangye/.cache/huggingface/hub/models--stablediffusionapi--realistic-vision-v51/snapshots/19e3643d7d963c156d01537188ec08f0b79a514a
# vae_init_weights: pretrained_models/instruct_pix2pix/vqvae.ckpt
# text_model_init_weights: pretrained_models/instruct_pix2pix/text.ckpt #! 这两个可以直接设为None, 从from_pretrained中加载
scale_factor: 0.18215
guidance_scale: 5 # not used
ddim_sampling_steps: 20
text_cfg: 7.5
img_cfg: 1.2
cond_image_dropout: 0.1
prompt_type: edit_prompt
unet:
target: modules.video_unet_temporal.unet.UNet3DConditionModel
params:
in_channels: 4 #! change:8->12 iclight 改为12 注意一下...
out_channels: 4
act_fn: silu
attention_head_dim: 8
block_out_channels:
- 320
- 640
- 1280
- 1280
cross_attention_dim: 768
down_block_types:
- CrossAttnDownBlock3D
- CrossAttnDownBlock3D
- CrossAttnDownBlock3D
- DownBlock3D
up_block_types:
- UpBlock3D
- CrossAttnUpBlock3D
- CrossAttnUpBlock3D
- CrossAttnUpBlock3D
downsample_padding: 1
layers_per_block: 2
mid_block_scale_factor: 1
norm_eps: 1e-05
norm_num_groups: 32
sample_size: 64
use_motion_module: true #!!! 这边test iclight的时候可以不用motion module 即False
motion_module_resolutions:
- 1
- 2
- 4
- 8
motion_module_mid_block: false
motion_module_decoder_only: false
motion_module_type: Vanilla
motion_module_kwargs:
num_attention_heads: 8
num_transformer_block: 1
attention_block_types:
- Temporal_Self
- Temporal_Self
temporal_position_encoding: true
temporal_position_encoding_max_len: 32
temporal_attention_dim_div: 1
text_model:
target: modules.openclip.modules.FrozenCLIPEmbedder
params:
freeze: true