mirror of
https://github.com/storytold/storyteller-ml.git
synced 2026-10-09 00:09:55 +00:00
36 lines
1.1 KiB
Bash
Executable File
36 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
|
|
|
|
OUTPUT_DIR="inference/output_1/final_output"
|
|
|
|
POSE_FRAME_DIR="inference/output_1/poses"
|
|
STARTING_IMAGE="inference/output_1/frames/frame_0.png"
|
|
|
|
mkdir -p $OUTPUT_DIR
|
|
|
|
#CUDA_VISIBLE_DEVICES=0
|
|
python inference_basic.py \
|
|
--pretrained_model_name_or_path="checkpoints/stable-video-diffusion-img2vid-xt" \
|
|
--output_dir="${OUTPUT_DIR}" \
|
|
--validation_control_folder="${POSE_FRAME_DIR}" \
|
|
--validation_image="${STARTING_IMAGE}" \
|
|
--width=1024 \
|
|
--height=576 \
|
|
--guidance_scale=3.0 \
|
|
--num_inference_steps=25 \
|
|
--posenet_model_name_or_path="checkpoints/Animation/pose_net.pth" \
|
|
--face_encoder_model_name_or_path="checkpoints/Animation/face_encoder.pth" \
|
|
--unet_model_name_or_path="checkpoints/Animation/unet.pth" \
|
|
--tile_size=16 \
|
|
--overlap=4 \
|
|
--noise_aug_strength=0.02 \
|
|
--frames_overlap=4 \
|
|
--decode_chunk_size=4 \
|
|
--gradient_checkpointing
|
|
|
|
|
|
ffmpeg -framerate 30 \
|
|
-start_number 0 \
|
|
-i "${OUTPUT_DIR}/animated_images/frame_%d.png" \
|
|
-c:v libx264 -pix_fmt yuv420p "${OUTPUT_DIR}/out.mp4" -y
|
|
|