SqrtRyan

import rp
import numpy as np
import replicate

@rp.globalize_locals
def run_vace_via_replicate(video, mask, prompt="", name=""):
    video = rp.as_byte_images(rp.as_rgb_images(video))
    mask  = rp.as_byte_images(rp.as_rgb_images(mask ))
    assert video.shape == mask.shape, (video.shape, mask.shape)
    

SqrtRyan

import rp
import numpy as np
import replicate

@rp.globalize_locals
def run_vace_via_replicate(video, mask, prompt="", name=""):
    video = rp.as_byte_images(rp.as_rgb_images(video))
    mask  = rp.as_byte_images(rp.as_rgb_images(mask ))
    assert video.shape == mask.shape, (video.shape, mask.shape)
    

SqrtRyan

import numpy as np
import replicate

@globalize_locals
def run_vace_via_replicate(video, mask, prompt="", name=""):
    video = as_byte_images(as_rgb_images(video))
    mask  = as_byte_images(as_rgb_images(mask ))
    assert video.shape == mask.shape, (video.shape, mask.shape)
    
    #mask = invert_images(mask) #They do it the opposite of me, I like white to mean "keep"

SqrtRyan

for _ in range(10):
    import rp
    import torch
    from diffusers import CogVideoXImageToVideoPipeline
    from diffusers.utils import export_to_video, load_image
    from rp.libs.torch_tools import resize_conv2d_channels
    

    device = rp.select_torch_device(prefer_used=True,reserve=True)
    

SqrtRyan

def i2v_to_t2v(transformer):
    import rp
    transformer_root = "/home/jupyter/CleanCode/Checkpoints/Github/DiffusionAsShader/ckpts/your_ckpt_path/CounterChans_RandomSpeed_WithDropout_2500_10000000__optimizer_adamw__lr-schedule_cosine_with_restarts__learning-rate_1e-4/checkpoint-14700/transformer"
    transformer_root = "/home/jupyter/CleanCode/Huggingface/CogVideoX-5b/transformer"
    safetensor_paths = rp.get_all_files(transformer_root, file_extension_filter="safetensors")
    
    # Announce
    rp.fansi_print(
        f"Loading Safetensors from {transformer_root}\n"
        + rp.indentify(

SqrtRyan

from rp import mean
import math
import numpy as np


class Quadrilateral:
    def __init__(self, x0, x1, x2, x3, y0, y1, y2, y3):
        self.x0, self.x1, self.x2, self.x3 = x0, x1, x2, x3
        self.y0, self.y1, self.y2, self.y3 = y0, y1, y2, y3

SqrtRyan

from rp import mean
import math
import numpy as np


class Quadrilateral:
    def __init__(self, x0, x1, x2, x3, y0, y1, y2, y3):
        self.x0, self.x1, self.x2, self.x3 = x0, x1, x2, x3
        self.y0, self.y1, self.y2, self.y3 = y0, y1, y2, y3

SqrtRyan

def temporal_dropout_boolean_list(length, proportion=0.5):
    """
    Creates a boolean list with temporal dropout patterns.

    Generates a list of length 'length' containing boolean values where
    some values are randomly dropped out (set to False) according to the
    specified proportion, tending torwards contiguous chunks.

    Args:
        length (int): The length of the output list.

SqrtRyan

import requests
import os
import PIL

def rebind_globals_to_module(module, *, monkey_patch=False):
    """
    Decorator to change the global environment of functions and classes to another module's namespace.
    If monkey_patch is True, the function or class is also added to the module.

    The result: the decorated function is as good as if it were created in that module's source code,

SqrtRyan

# -*- coding: UTF-8 -*-
from __future__ import unicode_literals
#THINGS TO DO BEFORE OFFICIAL RELEASE:
#   Rename "path" functions to "2d-somethings" idk what, but it conflicts with file-paths...
#   Rename "display" functions to "plot" functions. "display" functions should be very simple and library-agnostic, while plot can be matplotlib-based.
#   Remove useless functions, and categorize them. Probably should split into multiple files; but that's kinda messy...
#       These functions don't have to be removed from r.py, they just have to be deleted from rp.py (after using from r import *, use something like 'del useless_function')

#TODO: Turn the comments at the beginning of each function into docstrings so they can be read by the builtin help function
# python /Users/Ryan/PycharmProjects/Py27RyanStandard2.7/Groupie.py ftF11dwbP61OfPf9QsXBfS5usCdQdBkkMieObdvZ -g 'The Think Tank'