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PyTTI Documentation and Tutorials

Home Page: https://pytti-tools.github.io/pytti-book/intro.html

Jupyter Notebook 99.49% Python 0.51%

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x0s aiekick sbaier1 kandy22 esmerome jags111 alexandrubusila pedroguerrero5150 codedcclxxvii simrit1

pytti-book's Issues

Resume after colab crash not working

Hi, I am trying to animate a video using this notebook on google Colab.
After running for a while the run usually stops at some point due to the runtime timing out or other reasons.
When I run the notebook again with the resume checkbox checked a new Video is generated, rather than the notebook continuing from where it left off.

Port content from HeavensLastAngel's "Way of The TTI Artist"

https://docs.google.com/document/d/1EvkiHa12ButetruSBr82MJeomHfVRkvczB9-FgqtJ48/mobilebasic#h.43aw9whbrrag

[FAQ] ConfigAttributeError: Missing key.. input_audio (Issue #

E.g. pytti-core issue #155

input_audio
tensorboard

Additionally, could we detect missing config attrs in warmup or something and add them to defaults?

[TUTORIAL] BLIP image prompt stabilization

this would be an advanced tutorial, and might actually require some feature development to be realizable.

consider some image X we want to use as an image prompt. run automated captioning on it repeatedly and project the sampled text captions into CLIP space. use the resultant vectors as supplemental guiding CLIP prompts (or pooled into a single prompt prompts).

tutorial: video source animation

Add documentation to facilitate estimating run time

For each model:

Size in RAM
some model-standardized measure of inference speed

could make this stuff attributes on objects in https://github.com/dmarx/multi-modal-comparators

Issue on page /CrashCourse.html , stuck at step 300 and not moving anymore

I ran the following instruction ,but the process stuck at step 299.

%%writefile config/conf/my_first_pytti_art.yaml
# @package _global_
scenes: The swirling cloud of the wormhole is a metaphor for the inner workings of the mind.

steps_per_scene: 500
save_every: 50
display_every: 50

file_namespace: my_first_pytti_art
seed: 123

And it just stuck at step 300 and not moving anymore.

60%|████████████████████████▌ | 300/500 [01:27<00:54, 3.65it/s]2022-03-11 07:19:14.431 | DEBUG | main:update:438 - Step 300 losses:
2022-03-11 07:19:14.431 | DEBUG | main:update:441 - The swirling cloud o..mind. 0.77344
Name: 299, dtype: float64
<PIL.Image.Image image mode=RGB size=720x448 at 0x7F6D63FD1EE0>

get 'hide-output' metadata tag working

probably just need to edit this outside

study: cutouts vs cutpow

[resource] quaternion calculator and euler angle translator

https://quaternions.online/

Add acknowledgements and citations

try to include acknowledgements for "indirect" contributors as well, i.e. people whose names don't appear in commits because their code was incorporated from a shared notebook or something like that.

Issue on page /Setup.html Step 10

In step 10 of the setup it says to clone the dev branch of the pytti-core module, but there seems to be no dev branch.

$ git clone --recurse-submodules -j8 --branch dev https://github.com/pytti-tools/pytti-core
Cloning into 'pytti-core'...
fatal: Remote branch dev not found in upstream origin

If I clone without specifying the branch I'm missing the config, images_out and pretrained folder in comparison to the folder structure given under Step 10.

perlin noise

https://observablehq.com/@mbostock/perlin-noise/2

NameError: name 'Image' is not defined when prompting with a direct video mask

Hi Pytti team,

when I tired out "scenes:sunlight:3_[production ID_4508066.mp4]|midnight:3_[-production ID_4508066.mp4]" on Google Colab, I encountered the erroe "NameError: name 'Image' is not defined". I tried to add hot fix code like "from PIL import Image" in rotoscoper.py but still not working.

Best,

2022-03-14 16:05:09.307 | DEBUG    | pytti.workhorse:_main:187 - {'scenes': 'sunlight:3_[production ID_4508066.mp4]|midnight:3_[-production ID_4508066.mp4]', 'scene_prefix': '', 'scene_suffix': '', 'interpolation_steps': 0, 'steps_per_scene': 500, 'direct_image_prompts': '', 'init_image': '', 'direct_init_weight': '', 'semantic_init_weight': '', 'image_model': 'Limited Palette', 'width': 720, 'height': 448, 'pixel_size': 1, 'smoothing_weight': 0.02, 'vqgan_model': 'sflckr', 'random_initial_palette': False, 'palette_size': 6, 'palettes': 9, 'gamma': 1, 'hdr_weight': 0.01, 'palette_normalization_weight': 0.2, 'show_palette': False, 'target_palette': '', 'lock_palette': False, 'animation_mode': '3D', 'sampling_mode': 'bicubic', 'infill_mode': 'wrap', 'pre_animation_steps': 100, 'steps_per_frame': 50, 'frames_per_second': 12, 'direct_stabilization_weight': '', 'semantic_stabilization_weight': '', 'depth_stabilization_weight': '', 'edge_stabilization_weight': '', 'flow_stabilization_weight': '', 'video_path': '', 'frame_stride': 1, 'reencode_each_frame': True, 'flow_long_term_samples': 1, 'translate_x': '-1700*sin(radians(1.5))', 'translate_y': '0', 'translate_z_3d': '(50+10*t)*sin(t/10*pi)**2', 'rotate_3d': '[cos(radians(1.5)), 0, -sin(radians(1.5))/sqrt(2), sin(radians(1.5))/sqrt(2)]', 'rotate_2d': '5', 'zoom_x_2d': '0', 'zoom_y_2d': '0', 'lock_camera': True, 'field_of_view': 60, 'near_plane': 1, 'far_plane': 10000, 'file_namespace': 'default', 'allow_overwrite': False, 'display_every': 50, 'clear_every': 0, 'display_scale': 1, 'save_every': 50, 'backups': 5, 'show_graphs': False, 'approximate_vram_usage': False, 'ViTB32': True, 'ViTB16': False, 'RN50': False, 'RN50x4': False, 'ViTL14': False, 'RN101': False, 'RN50x16': False, 'RN50x64': False, 'learning_rate': None, 'reset_lr_each_frame': True, 'seed': -19922333275351923, 'cutouts': 40, 'cut_pow': 2, 'cutout_border': 0.25, 'gradient_accumulation_steps': 1, 'border_mode': 'clamp', 'models_parent_dir': '.'}
2022-03-14 16:05:09.311 | DEBUG    | pytti.workhorse:_main:188 - {'scenes': 'sunlight:3_[production ID_4508066.mp4]|midnight:3_[-production ID_4508066.mp4]', 'scene_prefix': '', 'scene_suffix': '', 'interpolation_steps': 0, 'steps_per_scene': 500, 'direct_image_prompts': '', 'init_image': '', 'direct_init_weight': '', 'semantic_init_weight': '', 'image_model': 'Limited Palette', 'width': 720, 'height': 448, 'pixel_size': 1, 'smoothing_weight': 0.02, 'vqgan_model': 'sflckr', 'random_initial_palette': False, 'palette_size': 6, 'palettes': 9, 'gamma': 1, 'hdr_weight': 0.01, 'palette_normalization_weight': 0.2, 'show_palette': False, 'target_palette': '', 'lock_palette': False, 'animation_mode': '3D', 'sampling_mode': 'bicubic', 'infill_mode': 'wrap', 'pre_animation_steps': 100, 'steps_per_frame': 50, 'frames_per_second': 12, 'direct_stabilization_weight': '', 'semantic_stabilization_weight': '', 'depth_stabilization_weight': '', 'edge_stabilization_weight': '', 'flow_stabilization_weight': '', 'video_path': '', 'frame_stride': 1, 'reencode_each_frame': True, 'flow_long_term_samples': 1, 'translate_x': '-1700*sin(radians(1.5))', 'translate_y': '0', 'translate_z_3d': '(50+10*t)*sin(t/10*pi)**2', 'rotate_3d': '[cos(radians(1.5)), 0, -sin(radians(1.5))/sqrt(2), sin(radians(1.5))/sqrt(2)]', 'rotate_2d': '5', 'zoom_x_2d': '0', 'zoom_y_2d': '0', 'lock_camera': True, 'field_of_view': 60, 'near_plane': 1, 'far_plane': 10000, 'file_namespace': 'default', 'allow_overwrite': False, 'display_every': 50, 'clear_every': 0, 'display_scale': 1, 'save_every': 50, 'backups': 5, 'show_graphs': False, 'approximate_vram_usage': False, 'ViTB32': True, 'ViTB16': False, 'RN50': False, 'RN50x4': False, 'ViTL14': False, 'RN101': False, 'RN50x16': False, 'RN50x64': False, 'learning_rate': None, 'reset_lr_each_frame': True, 'seed': -19922333275351923, 'cutouts': 40, 'cut_pow': 2, 'cutout_border': 0.25, 'gradient_accumulation_steps': 1, 'border_mode': 'clamp', 'models_parent_dir': '.'}
2022-03-14 16:05:09.521 | DEBUG    | pytti.workhorse:do_run:242 - 40
2022-03-14 16:05:09.532 | INFO     | pytti.workhorse:parse_scenes:110 - Loading prompts...
2022-03-14 16:05:09.846 | INFO     | pytti.rotoscoper:get_frames:41 - loaded 751 frames. for production ID_4508066.mp4
---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
[<ipython-input-19-3894f198f437>](https://localhost:8080/#) in <module>()
      6 
      7 # function wraps step 2.3 of the original p5 notebook
----> 8 render_frames(cfg)

8 frames
[/usr/local/lib/python3.7/dist-packages/hydra/main.py](https://localhost:8080/#) in decorated_main(cfg_passthrough)
     41         def decorated_main(cfg_passthrough: Optional[DictConfig] = None) -> Any:
     42             if cfg_passthrough is not None:
---> 43                 return task_function(cfg_passthrough)
     44             else:
     45                 args = get_args_parser()

[/usr/local/lib/python3.7/dist-packages/pytti/workhorse.py](https://localhost:8080/#) in _main(cfg)
    586                 torch.cuda.empty_cache()
    587         else:
--> 588             do_run()
    589             logger.info("Complete.")
    590             gc.collect()

[/usr/local/lib/python3.7/dist-packages/pytti/workhorse.py](https://localhost:8080/#) in do_run()
    257                 scenes=params.scenes,
    258                 scene_prefix=params.scene_prefix,
--> 259                 scene_suffix=params.scene_suffix,
    260             )
    261 

[/usr/local/lib/python3.7/dist-packages/pytti/workhorse.py](https://localhost:8080/#) in parse_scenes(embedder, scenes, scene_prefix, scene_suffix)
    115             if p.strip()
    116         ]
--> 117         for stage in scenes.split("||")
    118         if stage
    119     ]

[/usr/local/lib/python3.7/dist-packages/pytti/workhorse.py](https://localhost:8080/#) in <listcomp>(.0)
    116         ]
    117         for stage in scenes.split("||")
--> 118         if stage
    119     ]
    120     logger.info("Prompts loaded.")

[/usr/local/lib/python3.7/dist-packages/pytti/workhorse.py](https://localhost:8080/#) in <listcomp>(.0)
    113             parse_prompt(embedder, p.strip())
    114             for p in (scene_prefix + stage + scene_suffix).strip().split("|")
--> 115             if p.strip()
    116         ]
    117         for stage in scenes.split("||")

[/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py](https://localhost:8080/#) in decorate_context(*args, **kwargs)
     26         def decorate_context(*args, **kwargs):
     27             with self.__class__():
---> 28                 return func(*args, **kwargs)
     29         return cast(F, decorate_context)
     30 

[/usr/local/lib/python3.7/dist-packages/pytti/Perceptor/Prompt.py](https://localhost:8080/#) in parse_prompt(embedder, prompt_string, pil_image, device)
    223     if roto is not None:
    224         roto.target = out
--> 225         roto.update(0)
    226     return out
    227 

[/usr/local/lib/python3.7/dist-packages/pytti/rotoscoper.py](https://localhost:8080/#) in update(self, frame_n)
     66         """
     67         if self.target is None:
---> 68             return
     69         mask_pil = Image.fromarray(self.frames.get_data(frame_n)).convert("L")
     70         self.target.set_mask(mask_pil, self.inverted)

NameError: name 'Image' is not defined

tutorial: generate a single image and render a video of the generation process

add axis/rotation oreintation visualization to settings (or... somewhere?)

http://blog.dsky.co/wp-content/uploads/2015/05/dSky-Oculus-XYZ-YPR.jpg

via: http://dsky9.com/rift/vr-tech-6dof/

tutorial/resource: rclip semantic algebra prototyping

e.g. KING - MAN + WOMAN

study: compare VQGAN models

Tutorial: target final image / techniques for looping animation

So I was thinking today about creating an "end objective" direct image prompt, like an init but in reverse. It would trigger steps_from_end_of_scene before completion, and steer the image towards a final product. I can see a whole bunch of applications for it, such as for loops or targeting a specific image instead of building out from one

fix launch-in-colab link

lol...

https://colab.research.google.com/github/pytti-tools/pytti-notebook/blob/main/pyttitools-PYTTI.ipynb/github/pytti-tools/pytti-book/blob/master/docs/CrashCourse.ipynb

"Ongoing Research" section for miscellaneous content

Even if it doesn't necessarily go in a tutorial section or something like that. Use it as an excuse to show off some random experiments or things I didn't feel like writing up but have demonstrations for. Draft posts.

Hell, "half baked docs" could even be a pattern to encourage external contribution.

break up the crash course from a single notebook into multiple separate files for improved caching behavior

https://jupyterbook.org/structure/sections-headers.html#toc-structure

Add TLDR setup

add a TLDR setup for colab, paperspace, etc:

!git clone https://github.com/pytti-tools/pytti-notebook
%cd pytti-notebook

!pip install jupyter gdown loguru einops seaborn PyGLM ftfy regex tqdm hydra-core adjustText exrex matplotlib-label-lines
!git clone --recurse-submodules -j8 https://github.com/pytti-tools/pytti-core

!pip install ./pytti-core/vendor/AdaBins
!pip install ./pytti-core/vendor/CLIP
!pip install ./pytti-core/vendor/GMA
!pip install ./pytti-core/vendor/taming-transformers
!pip install ./pytti-core

!python -m pytti.warmup

I guess this is already available in the notebook essentially... better to just make it nice and obvious for people.

Add suggested values and ranges for settings

Add a high level explanation of what all this is

add init_image dissolve to grimoire

https://discord.com/channels/869630568818696202/869675528494391307/947668038470217769

direct_init_weight:W*max(k-t,0)

Add demonstrations of how options differ

[TUTORIAL] Pixel art

Move grimoire to separate article

might also be a good idea to separate sections into respective text files to facilitate people consuming the lists programmatically

reorganize pages to be friendlier to people who don't already know what this is

add ebsynth plug-in to misc resources

https://github.com/sliterok/pytti-ebsynth

https://discord.com/channels/869630568818696202/899135695677968474/978401718733770762

re-organize the settings explanation page

widget build process presumes book is being built on my local system

widget uses Path.glob() to find image folders and files. This is fine for prototyping, but now that this set of files is fixed, let's dump the filenames/URLs/whatever we need into a text file or something like that and modify the build sequence to look there instead of globbing for local image files.