pollinations/tune-a-video 🔢🖼️📝 → 🖼️

▶️ 2.9K runs 📅 Jan 2023 ⚙️ Cog 0.6.1 🔗 GitHub
creative-reinterpretation image-diffusion text-to-video video-generation video-transformation

About

About Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

Example Output

Output

Example output

Performance Metrics

276.10s Prediction Time
473.24s Total Time
All Input Parameters 
{
  "steps": 300,
  "video": "https://replicate.delivery/pbxt/IDiFVPWBr2LV9rZs1RP0GZGSz0SKSRidowzRZSSc8il25wmE/man%20surfing.mp4",
  "width": 512,
  "height": 512,
  "length": 5,
  "source_prompt": "a man surfing",
  "target_prompts": "a panda surfing\na cartoon sloth surfing"
}
Input Parameters
steps Type: integerDefault: 300
number of steps to train for
video Type: string
input video
width Type: integerDefault: 512
width of the output video (multiples of 32)
height Type: integerDefault: 512
height of the output video (multiples of 32)
length Type: integerDefault: 5
length of the output video (in seconds)
source_prompt Type: stringDefault: a man surfing
prompts describing the original video
target_prompts Type: stringDefault: a panda surfing a cartoon sloth surfing
prompts to change the video to
sample_frame_rate Type: integerDefault: 1
with which rate to sample the input video
Output Schema

Output

Type: string • Format: uri

Example Execution Logs 
predict
The following values were not passed to `accelerate launch` and had defaults used instead:
`--num_processes` was set to a value of `1`
`--num_machines` was set to a value of `1`
`--mixed_precision` was set to a value of `'no'`
`--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
A matching Triton is not available, some optimizations will not be enabled.
Error caught was: No module named 'triton'
running with config:
pretrained_model_path: ./checkpoints/stable-diffusion-v1-4
output_dir: /outputs
train_data:
n_sample_frames: 8
sample_start_idx: 0
prompt: a man surfing
video_path: /tmp/tmpk5ml9tquman%20surfing.mp4
width: 512
height: 512
sample_frame_rate: 1
validation_data:
num_inference_steps: 50
guidance_scale: 7.5
prompts:
- a panda surfing
- a cartoon sloth surfing
video_length: 5
width: 512
height: 512
learning_rate: 3.0e-05
train_batch_size: 1
max_train_steps: 300
checkpointing_steps: 1000
validation_steps: 100
trainable_modules:
- attn1.to_q
- attn2.to_q
- attn_temp
seed: 33
mixed_precision: fp16
use_8bit_adam: false
gradient_checkpointing: true
enable_xformers_memory_efficient_attention: true
01/29/2023 09:21:16 - INFO - __main__ - Distributed environment: NO
Num processes: 1
Process index: 0
Local process index: 0
Device: cuda
Mixed precision type: fp16
{'prediction_type', 'variance_type'} was not found in config. Values will be initialized to default values.
{'norm_num_groups'} was not found in config. Values will be initialized to default values.
{'class_embed_type', 'use_linear_projection', 'upcast_attention', 'only_cross_attention', 'dual_cross_attention', 'mid_block_type', 'num_class_embeds', 'resnet_time_scale_shift'} was not found in config. Values will be initialized to default values.
{'prediction_type'} was not found in config. Values will be initialized to default values.
01/29/2023 09:21:32 - INFO - __main__ - ***** Running training *****
01/29/2023 09:21:32 - INFO - __main__ -   Num examples = 1
01/29/2023 09:21:32 - INFO - __main__ -   Num Epochs = 300
01/29/2023 09:21:32 - INFO - __main__ -   Instantaneous batch size per device = 1
01/29/2023 09:21:32 - INFO - __main__ -   Total train batch size (w. parallel, distributed & accumulation) = 1
01/29/2023 09:21:32 - INFO - __main__ -   Gradient Accumulation steps = 1
01/29/2023 09:21:32 - INFO - __main__ -   Total optimization steps = 300
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warnings.warn("None of the inputs have requires_grad=True. Gradients will be None")
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01/29/2023 09:22:56 - INFO - __main__ - Saved samples to /outputs/samples/sample-100.gif
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01/29/2023 09:24:19 - INFO - __main__ - Saved samples to /outputs/samples/sample-200.gif
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01/29/2023 09:25:39 - INFO - __main__ - Saved samples to /outputs/samples/sample-300.gif
Steps: 100%|██████████| 300/300 [04:07<00:00,  1.69it/s, lr=3e-5, step_loss=0.0493]{'prediction_type'} was not found in config. Values will be initialized to default values.
Configuration saved in /outputs/model_index.json
Configuration saved in /outputs/vae/config.json
Model weights saved in /outputs/vae/diffusion_pytorch_model.bin
Configuration saved in /outputs/unet/config.json
Model weights saved in /outputs/unet/diffusion_pytorch_model.bin
Configuration saved in /outputs/scheduler/scheduler_config.json
Steps: 100%|██████████| 300/300 [04:14<00:00,  1.18it/s, lr=3e-5, step_loss=0.0493]
total 32
-rw-r--r-- 1 root root  942 Jan 29 09:21 config.yaml
-rw-r--r-- 1 root root  373 Jan 29 09:25 model_index.json
drwxr-xr-x 5 root root 4096 Jan 29 09:25 samples
drwxr-xr-x 2 root root 4096 Jan 29 09:25 scheduler
drwxr-xr-x 2 root root 4096 Jan 29 09:25 text_encoder
drwxr-xr-x 2 root root 4096 Jan 29 09:25 tokenizer
drwxr-xr-x 2 root root 4096 Jan 29 09:25 unet
drwxr-xr-x 2 root root 4096 Jan 29 09:25 vae
Version Details
Version ID
558a8a71c36e900af4a9aec372cc77ebd93dc668fa3d3244e689b9a971d158e1
Version Created
January 29, 2023
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