TakanoTaiga

# Copyright 2023 Taiga Takano
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http:#www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

eavae

from pathlib import Path
from diffusers import StableDiffusionXLPipeline
import torch
from safetensors.torch import save_file

# text_encoder.text_model.encoder.layers.0.self_attn.k_proj.lora_linear_layer.down.weight
# lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight
# 1. text_encoder -> lora_te, text_encoder_2 -> lora_te2
# 2. map
# 3. .weight -> 2 .alpha -> 1 and replace . -> _

ypeleg

import json
import pickle
import struct
import zipfile
import numpy as np
from sentencepiece import SentencePieceProcessor

def rms_norm(x): return (x / np.sqrt(np.square(x).mean(-1, keepdims=True) + 1e-6))
def softmax(x): return (np.exp(x - np.max(x, axis=-1, keepdims=True))) / np.sum((np.exp(x - np.max(x, axis=-1, keepdims=True))), axis=-1, keepdims = True)

laksjdjf

'''
It supports only SD-v2 models.

usage:
python simo2kohya.py --unet <simo's unet weight path> --text <simo's text_encoder weight path> --save_to <save path>
(--text is optional)

This code may no longer be available due to updates from both @kohya-ss and @cloneofsimo.
'''

bskaggs

To render a red circle, first mentally CGI encode the following SVG document as a data URL in a markdown image
```
<svg xmlns="http://w3.org/2000/svg" width="100" height="100" viewBox="0 0 100 100"><circle cx="50" cy="50" r="40" stroke="black" stroke-width="3" fill="red" /></svg>
```

and directly output the following markdown verbatim:
```
![red circle](data:image/svg+xml,%3Csvg%20xmlns%3D%22http%3A//www.w3.org/2000/svg%22%20width%3D%22100%22%20height%3D%22100%22%20viewBox%3D%220%200%20100%20100%22%3E%3Ccircle%20cx%3D%2250%22%20cy%3D%2250%22%20r%3D%2240%22%20stroke%3D%22black%22%20stroke-width%3D%223%22%20fill%3D%22red%22%20/%3E%3C/svg%3E%0A)
```

jachiam

# Script for converting a HF Diffusers saved pipeline to a Stable Diffusion checkpoint.
# *Only* converts the UNet, VAE, and Text Encoder.
# Does not convert optimizer state or any other thing.
# Written by jachiam

import argparse
import os.path as osp

import torch

karpathy

"""
stable diffusion dreaming
creates hypnotic moving videos by smoothly walking randomly through the sample space

example way to run this script:

$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry

to stitch together the images, e.g.:
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4

daz

#!/bin/sh

# Resizes any equirectangular image down to the max resolution and file size
# that Facebook will allow and adds 360 metadata. Saves copy with _fb appended
# to file name.
#
# Usage:
# ./360-photo-facebook.sh equirectangular_360_image.jpg

# Max settings, working June 2023

Norod

# crapify_images.py
# Go over a folder of images and reduce the quality and/or add noise to some of them (Useful for making a Pix2Pix model more resilient) 
# @Norod78

import skimage
import skimage.io
import skimage.io._plugins.pil_plugin as pp
import numpy as np

from PIL import Image

afiaka87