AmericanPresidentJimmyCarter

import inspect
from typing import Any, Callable, Dict, List, Optional, Union

import numpy as np
import torch
from transformers import CLIPTextModel, CLIPTokenizer, T5EncoderModel, T5TokenizerFast

from diffusers.image_processor import VaeImageProcessor
from diffusers.loaders import FluxLoraLoaderMixin
from diffusers.models.autoencoders import AutoencoderKL

jedda

<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>PayloadContent</key>
	<array>
		<dict>
			<key>Attest</key>
			<true/>
			<!--

padeoe

🤗Huggingface Model Downloader

Update(2024-12-17): 🎉 This version supports quick startup and fast recovery, automatically skipping downloaded files for efficient handling of large repos. The removal of git clone dependency further accelerates file list retrieval.

Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, This command-line tool leverages curl and aria2c for fast and robust downloading of models and datasets.

Features

• ⏯️ Resume from breakpoint: You can re-run it or Ctrl+C anytime.
• 🚀 Multi-threaded Download: Utilize multiple threads to speed up the download process.
• 🚫 File Exclusion: Use --exclude or --include to skip or specify files, save time for models with duplicate formats (e.g., *.bin or *.safetensors).
• 🔐 **Auth Supp

danielcshn

📜 Info:

• Android Studio Flamingo | 2022.2.1
• Build #AI-222.4459.24.2221.9862592, built on March 31, 2023
• Gradle JDK: jbr-17 (JetBrains Runtime version 17.0.6)
• Windows 11 (version 10.0.22000.1817)

🐛 Bug/Error log:

AmericanPresidentJimmyCarter

from PIL import Image
import stable_inference
import numpy as np
from einops import repeat

# Interpolate video between two conditionings
FOLDER = 'test/painting'
MAX_STRENGTH = 0.5 # Strength at maximum in the middle of the interpolation
SEED = 9001
SECONDS = 10

AmericanPresidentJimmyCarter

from PIL import Image
import stable_inference
import torch
from einops import repeat

def image_grid(imgs, rows, cols):
    assert len(imgs) == rows*cols

    w, h = imgs[0].size
    grid = Image.new('RGB', size=(cols*w, rows*h))

Tmn07

虽然距离第一次总结ffmpeg指令与剪辑视频相关的姿势 (github.com)已经过去了三年，但是依旧是非常业余的水平。仅作个人记录，谨慎参考，表述有问题的地方欢迎讨论指正。

视频剪切

需求是尽可能无损剪切，精确时间。

根据视频关键帧的情况，分两种方案

1. 极速方案，无损截取出视频两个关键帧之间的片段。

hihanley

import java.io.IOException;
import java.net.InetSocketAddress;
import java.net.Proxy;

import lombok.Data;
import okhttp3.OkHttpClient;
import retrofit2.Call;
import retrofit2.Retrofit;
import retrofit2.converter.jackson.JacksonConverterFactory;
import retrofit2.http.GET;

JamesHopbourn

玩法文章

• Hum 151010 URL Schemes 使用详解
• Hum 160427 OmniFocus 的 URL Schemes 用法
• Hum 171115 通过 Bear 来认识 Launch Center Pro 的进阶用法
• Hum 171122 通过 Bear 来认识 Drafts 的 [[line]] 用法
• Hum 180518 入门 iOS 自动化：读懂 URL Schemes
• Hum 180823 Universal Link 使用详解
• Hum 181229 x-callback-URL 的使用方法
• JamesHopbourn 210204 Drafts + vim = URL Scheme 复用
• JamesHopbourn 210405 Drafts 5 与 Bear 联手，让我可以快速追加笔记

thomaspoignant

GOCMD=go
GOTEST=$(GOCMD) test
GOVET=$(GOCMD) vet
BINARY_NAME=example
VERSION?=0.0.0
SERVICE_PORT?=3000
DOCKER_REGISTRY?= #if set it should finished by /
EXPORT_RESULT?=false # for CI please set EXPORT_RESULT to true

GREEN  := $(shell tput -Txterm setaf 2)