[LoRA] Support LTX Video

[a-r-r-o-w]

Finetuning script on-the-way soon! WIP

Fine-tuning script: a-r-r-o-w/finetrainers#123

To run training, use:

#!/bin/bash

# export TORCH_LOGS="+dynamo,recompiles,graph_breaks"
# export TORCHDYNAMO_VERBOSE=1
export WANDB_MODE="offline"
export NCCL_P2P_DISABLE=1
export TORCH_NCCL_ENABLE_MONITORING=0

GPU_IDS="2,3"

DATA_ROOT="/raid/aryan/video-dataset-disney"
CAPTION_COLUMN="prompts.txt"
VIDEO_COLUMN="videos.txt"

# Model arguments
model_cmd="--model_name ltx_video \
  --pretrained_model_name_or_path Lightricks/LTX-Video"

# Dataset arguments
dataset_cmd="--data_root $DATA_ROOT \
  --video_column $VIDEO_COLUMN \
  --caption_column $CAPTION_COLUMN \
  --id_token afkx \
  --video_resolution_buckets 49x480x768 \
  --caption_dropout_p 0.05"

# Dataloader arguments
dataloader_cmd="--dataloader_num_workers 0"

# Diffusion arguments
diffusion_cmd="--flow_resolution_shifting"

# Training arguments
training_cmd="--training_type lora \
  --seed 42 \
  --mixed_precision bf16 \
  --batch_size 1 \
  --train_steps 2000 \
  --rank 128 \
  --lora_alpha 64 \
  --target_modules to_q to_k to_v to_out.0 \
  --gradient_accumulation_steps 1 \
  --gradient_checkpointing \
  --checkpointing_steps 500 \
  --checkpointing_limit 2 \
  --enable_slicing \
  --enable_tiling"

# Optimizer arguments
optimizer_cmd="--optimizer adamw \
  --lr 1e-4 \
  --scale_lr \
  --lr_scheduler cosine_with_restarts \
  --lr_warmup_steps 100 \
  --lr_num_cycles 1 \
  --beta1 0.9 \
  --beta2 0.95 \
  --weight_decay 1e-4 \
  --epsilon 1e-8 \
  --max_grad_norm 1.0"

# Validation arguments
validation_cmd="--validation_prompts \"afkx A black and white animated scene unfolds with an anthropomorphic goat surrounded by musical notes and symbols, suggesting a playful environment. Mickey Mouse appears, leaning forward in curiosity as the goat remains still. The goat then engages with Mickey, who bends down to converse or react. The dynamics shift as Mickey grabs the goat, potentially in surprise or playfulness, amidst a minimalistic background. The scene captures the evolving relationship between the two characters in a whimsical, animated setting, emphasizing their interactions and emotions.@@@49x480x768:::A woman with long brown hair and light skin smiles at another woman with long blonde hair. The woman with brown hair wears a black jacket and has a small, barely noticeable mole on her right cheek. The camera angle is a close-up, focused on the woman with brown hair's face. The lighting is warm and natural, likely from the setting sun, casting a soft glow on the scene. The scene appears to be real-life footage@@@49x480x768\" \
  --num_validation_videos 1 \
  --validation_steps 100"

# Miscellaneous arguments
miscellaneous_cmd="--tracker_name finetrainers-ltxv \
  --output_dir /raid/aryan/ltx-video \
  --nccl_timeout 1800 \
  --report_to wandb"

cmd="accelerate launch --config_file accelerate_configs/uncompiled_2.yaml --gpu_ids $GPU_IDS train.py \
  $model_cmd \
  $dataset_cmd \
  $dataloader_cmd \
  $diffusion_cmd \
  $training_cmd \
  $optimizer_cmd \
  $validation_cmd \
  $miscellaneous_cmd"

echo "Running command: $cmd"
eval $cmd
echo -ne "-------------------- Finished executing script --------------------\n\n"

[HuggingFaceDocBuilderDev]

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[sayakpaul]

Okay for me to merge once we have added a test suite test_lora_layers_ltx_video.py.

[a-r-r-o-w]

@sayakpaul So, either CogVideoX or Mochi is okay for copying since they are same. I've added the tests as well. Could you give it a quick look too?

[sayakpaul]

Awesome. LGTM!