Medium length layered bobedium length layered bob
Short haircuts for women
2020.10.10 16:34 1aleynatilki Short haircuts for women
short haircuts for women (pictures and videos). Must-Try Short Hairstyles and Haircuts in 2023. Medium Bob With Wispy Bangs. Apple Cut. Chin-Length Bob. Pixie Cut With Side Bangs. C-Curl Bob With Curtain Bangs. Curly Bob. Curly Pixie Cut. Wolf Cut. Asymmetrical Bob. Choppy Bob With See-Through Bangs. Pixie Cut With Undercut. Bob With Side Part. Bob With Layered Bangs. Medium Bob With Side-Swept Bangs. Short Blunt Bob With Blunt Bangs. A-Line Bob. Blunt Wavy Bob With Bangs. Scrunched Bob.
2023.04.05 05:57 ttaywgnik Girlswithbobcuts
A SFW media subreddit of women with Bob Cuts.
2017.06.02 05:22 thatmethguy A movie in your mind
GraphicAudio®…A Movie in Your Mind® is an award-winning audiobook entertainment company based out of Rockville, Maryland. Since 2004, we have published over 1,600 titles and more than 160 different series in a wide variety of popular genres. All titles feature book-length full cast dramatizations richly scored with cinematic music and layered with immersive sound effects and design!
2024.05.14 06:43 HungryBar3834 Hey guys if im taking large amount data from a server and it makes the app so slow so what is the best way to take that data
import 'dart:convert'; import 'package:fluttematerial.dart'; import 'package:flutter_map/flutter_map.dart'; import 'package:flutter_map_marker_clusteflutter_map_marker_cluster.dart'; import 'package:latlong2/latlong.dart'; import 'dart:ui' as ui; import 'dart:typed_data'; import 'package:http/http.dart' as http;
submitted by HungryBar3834 to flutterhelp [link] [comments]
void main() { runApp(const MyApp()); } class MyApp extends StatelessWidget { const MyApp({super.key}); @override Widget build(BuildContext context) { return const MaterialApp( home: MapScreen(), ); } } class MapScreen extends StatefulWidget { const MapScreen({super.key}); @override _MapScreenState createState() => _MapScreenState(); } class _MapScreenState extends State { List shops = []; late Map markerIcons; bool isLoading = false; String error = ''; @override void initState() { super.initState(); markerIcons = {}; fetchShops(); } Future fetchShops() async { setState(() { isLoading = true; error = ''; }); const token = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6NTQsImlhdCI6MTcxMzIzMjQwOCwiZXhwIjoxNzI2MTkyNDA4fQ.hdJsGEMYRAAEs5y6RERuT2TNJTBUITkWy-7FarMc_C4"; // Replace with your actual token try { final response = await http.get( Uri.parse('https://api.carcare.mn/v1/shop'), headers: {'Authorization': 'Bearer $token'}, ); if (response.statusCode == 200) { final jsonData = json.decode(response.body)['data']; if (jsonData != null) { setState(() { shops = jsonData.map((data) => Shop.fromJson(data)).toList(); }); await loadMarkerIcons(); } else { setState(() { shops = []; }); } } else { setState(() { error = 'Failed to load shops (${response.statusCode})'; }); } } catch (e) { setState(() { error = 'Error fetching data: $e'; }); } finally { setState(() { isLoading = false; }); } } Future getMarkerIcon(String imageUrl) async { try { final response = await http.get(Uri.parse(imageUrl)); if (response.statusCode == 200) { return response.bodyBytes; } else { print('Failed to load image: ${response.statusCode}'); return null; } } catch (e) { print('Error loading image: $e'); return null; } } Future loadMarkerIcons() async { for (var shop in shops) { Uint8List? markerIcon = await getMarkerIcon(shop.thumbnail); if (markerIcon != null) { markerIcons[shop.id] = markerIcon; } else { markerIcons[shop.id] = await MarkerGenerator.defaultMarkerBytes(); } } setState(() {}); } @override Widget build(BuildContext context) { List markers = shops.map((shop) { return Marker( width: 80, height: 80, point: LatLng(shop.location.latitude, shop.location.longitude), child: Container( child: markerIcons[shop.id] != null && markerIcons[shop.id]!.isNotEmpty ? Image.memory(markerIcons[shop.id]!) : Icon(Icons.location_on, color: Colors.red), ), ); }).toList(); return Scaffold( appBar: AppBar( title: const Text('Map with Markers'), ), body: isLoading ? Center(child: CircularProgressIndicator()) : FlutterMap( options: MapOptions( initialCenter: LatLng(47.9187, 106.917), initialZoom: 10, ), children: [ TileLayer( urlTemplate: 'https://tile.openstreetmap.org/{z}/{x}/{y}.png', userAgentPackageName: 'com.example.app', ), MarkerClusterLayerWidget(options: MarkerClusterLayerOptions( markers: markers, builder: (context, markers) { return Container( width: 80, height: 80, decoration: BoxDecoration( shape: BoxShape.circle, color: Colors.blue, ), child: Center( child: Text( markers.length.toString(), style: TextStyle(color: Colors.white), ), ), ); }, ), ) ], ), ); } } class Shop { final int id; final String name; final String description; final String phone; final String type; final List additional; final String thumbnail; final List bannerImages; final List branches; final List schedules; final Location location; final List services; Shop({ required this.id, required this.name, required this.description, required this.phone, required this.type, required this.additional, required this.thumbnail, required this.bannerImages, required this.branches, required this.schedules, required this.location, required this.services, }); factory Shop.fromJson(Map? json) { return Shop( id: json?['id'] ?? 0, name: json?['name'] ?? '', description: json?['description'] ?? '', phone: json?['phone'] ?? '', type: json?['type'] ?? '', additional: List.from(json?['additional'] ?? []), thumbnail: json?['thumbnail'] ?? '', bannerImages: (json?['bannerImages'] as List?) ?.map((bannerImage) => BannerImage.fromJson(bannerImage)) .toList() ?? [], branches: List.from(json?['branches'] ?? []), schedules: List.from(json?['schedules'] ?? []), location: Location.fromJson(json?['location'] ?? {}), services: List.from(json?['services'] ?? []), ); } } class BannerImage { final int id; final String name; final String path; final String fileMimeType; final int fileSize; final int fileWidth; final int fileHeight; BannerImage({ required this.id, required this.name, required this.path, required this.fileMimeType, required this.fileSize, required this.fileWidth, required this.fileHeight, }); factory BannerImage.fromJson(Map json) { return BannerImage( id: json['id'] ?? 0, name: json['name'] ?? '', path: json['path'] ?? '', fileMimeType: json['fileMimeType'] ?? '', fileSize: json['fileSize'] ?? 0, fileWidth: json['fileWidth'] ?? 0, fileHeight: json['fileHeight'] ?? 0, ); } } class Location { final int id; final double longitude; final double latitude; final String address; final dynamic city; final dynamic country; final dynamic province; final dynamic subProvince; final dynamic street; Location({ required this.id, required this.longitude, required this.latitude, required this.address, this.city, this.country, this.province, this.subProvince, this.street, }); factory Location.fromJson(Map json) { return Location( id: json['id'] ?? 0, longitude: json['longitude'] ?? 0.0, latitude: json['latitude'] ?? 0.0, address: json['address'] ?? '', city: json['city'], country: json['country'], province: json['province'], subProvince: json['subProvince'], street: json['street'], ); } } class MarkerGenerator { static Future defaultMarkerBytes() async { final recorder = ui.PictureRecorder(); final canvas = Canvas(recorder, Rect.fromPoints(Offset(0, 0), Offset(100, 100))); final paint = Paint()..color = Colors.red; canvas.drawCircle(Offset(50, 50), 50, paint); final picture = recorder.endRecording(); final img = await picture.toImage(100, 100); final byteData = await img.toByteData(format: ui.ImageByteFormat.png); return byteData!.buffer.asUint8List(); } } 2024.05.14 06:23 aleeksrosecheeks thought my new pointe shoes fit perfectly, teacher disagrees.
I recently got fitted in Nikolay 3007s, 4 xxx with a medium shank. I went to a fitter I trust (Victoria is her name I think, at The Leotard in Portland) who has a lot of experience doing fittings. She agreed that these shoes supported me well. My other shoes, Bloch Axiom 4.5 xx, caused me to metatarsal a lot. I showed my Nikolays to my ballet teacher today and she thinks they’re way too small and “will give me bunions”. She’s been teaching for over 50 years and usually has a lot of solid advice, so I want to trust what she says.
When I first got my Blochs, she “tested” them by sticking her index and middle finger under the vamp (kind of aggressively if I do say so myself). She tried this again with the Nikolays, and she concurred that they’re too small because she couldn’t fit her fingers in. I agree that they feel smaller than my other shoes… but with the other shoes, I have to add layers of lambs wool and paper towels for my feet to properly fit because they compress a lot.
Should I try to size up or get refitted for my Nikolay shoes? I got them off of ebay in the same size I was fitted in because I couldn’t afford the full price.. I’m not sure if I could return or resell them, but I don’t want to dance in a way that damages my feet. What should I do?
submitted by aleeksrosecheeks to BALLET [link] [comments]
When I first got my Blochs, she “tested” them by sticking her index and middle finger under the vamp (kind of aggressively if I do say so myself). She tried this again with the Nikolays, and she concurred that they’re too small because she couldn’t fit her fingers in. I agree that they feel smaller than my other shoes… but with the other shoes, I have to add layers of lambs wool and paper towels for my feet to properly fit because they compress a lot.
Should I try to size up or get refitted for my Nikolay shoes? I got them off of ebay in the same size I was fitted in because I couldn’t afford the full price.. I’m not sure if I could return or resell them, but I don’t want to dance in a way that damages my feet. What should I do?
2024.05.14 06:05 kimple_john WTS/WTT: S Layers 28/XS Bottoms WTB: XS/S/M Shirts/Layers, S/M (bottoms) shorts, 28/29 bottoms
WTS/WTT (CONUS PayPal F&F or PayPal G&S + 4% fee)
(Bottoms)
submitted by kimple_john to OutlierMarket [link] [comments]
- Small WTF Futurecore Track Jacket Sage - $235 shipped
- 28 Injex Ones Black - $130 shipped
- 28 New Way Longs Flat Black (full powermesh pockets) - $75 shipped
- 28 New Way Longs Blue AF (full powermesh pockets) -$75 shipped or buy both for $140 shipped
(Bottoms)
- Small/Medium (bottoms) Ultra Ultra Easy Shorts in Black
- Small/Medium (bottoms) F.Cloth Bigs/Futurebigs
- 28 FutureHighdarts Dry Tan or Sagebrush
- 29/30 320 Cargo Pants
- Extra Small / Small Ramienorth Short Sleeve Black or any neutral color
- Small/Medium Daybreak Cut Two
- Small/Medium Lilac Haze Tops (UFT, Cottonweight, Injex Oversize, etc. )
- Extra Small/Small AMB Short Sleeve or Long Sleeve
- Small/Extra Small Warmform Merino Ski Grayzoneblack or Blacktannic
- Small/Extra Small Futurecore Warmshirt in Black
- Extra Small/Small Acottontwill Bomber-Up
- Extra Small Ultra Ultra Nice Jacket
- Extra Small - Medium Exp.205 Workcloth 320 shank
2024.05.14 05:44 courtingdisaster Presenting the evidence: 17 May 2024
 | Come one, come all, we're clooowning again! 🤡 submitted by courtingdisaster to GaylorSwift [link] [comments] Thanks to u/1DMod for posting the Jimmy Fallon video that led to me to start to connect the dots that other creators have noticed. Long story short, we're clowning for Stockholm N1 (maybe even night ✌️ as well), buckle up clowns! ✌️First things first, May 17 is ✌️ fortnights after the release of TTPD on April 19. We know that Taylor is still throwing up peace signs which seems unnecessary if it only ever meant that there was a second part of TTPD. I think it's an indication that we haven't completely cracked that egg yet.This photo was necessary for the post, ok National/International Day OfWhile these days aren't necessarily solid proof of anything, Taylor did release TTPD on Poetry & The Creative Mind Day and also released the ME! music video (ME! Out now!) on Lesbian Visibility Day so I think it's definitely worth investigating.Let's have a look at the holidays for May 17 that could be relevant:
Direct 17/5 easter eggs
Important days in historyThese could be nothing, could be something, still worth noting.
Important events in Taylor's history on this day
Stockholm
Is Karma boutta pop-up unannounced...?
New RomanticsKristen, who I have referenced in nearly every part in this post (again, she's amazing, go follow her), has a mass coming-out theory that she has dubbed the New Romantics. I highly recommend checking out her content on Twitter and TikTok and she's also recently launched a podcast that you can read more about here for a lottttttt more information on this theory. Essentially the theory is that a large number of artists in the entertainment industry are queer and are working together as a "safety in numbers" type approach to coming out of the closet and potentially changing the industry in a monumental way.Let's have a look at some players that are relevant to either 17 May or Stockholm (or both in one person's case!):
Theories as to what exactly is coming
In SummationSomething is happening in Stockholm.I don't know what exactly but it is THE ONE to watch. I'll be there talking smack in the megathread and keeping an eye out for any new Chiefs colours. See you there, clowns! Who's clowning with me?! 🤡🤡🤡 |
2024.05.14 05:08 lildaemon [D] Full causal self-attention layer in O(NlogN) computation steps and O(logN) time rather than O(N^2) computation steps and O(1) time, with a big caveat, but hope for the future.
*Update*: Actually O(N) computation steps(not O(Nlog N)) and O(log N) time.
I think I figured out how to do self-attention in transformer models in O(NlogN) computation steps rather than O(N^2), with a caveat. I'm not trying to be an academic, so I don't care to publish this formally, but I thought that some people might be interested. My construction is not efficient or practical, but the fact that it can be done at all might motivate further work to find efficient alternatives.
tl;dr Use the parallel scan[1] technique to compute taylor series basis functions needed to compute the causal self-attention layer and sum these together weighted by the values vector and 1 to get the numerator and denominator of the softmax activation of the full causal self-attention layer. The basis functions that you have to compute are both the basis functions for the numerator of the self-attention layer, $\sum_{i=0}^{j-1} k(i)_a^n q(j)_b^m v(i)$ and the normalization $\sum_{i=0}^{j-1} k(i)_a^n q(j)_b^m$. k(i)_a^n is component-a of the ith key vector raised to the power of n multiplied by q(j)_b^m which is component-b of the jth query vector raised to the power of m, which is multiplied by the value vector at position i in the first equation and by 1 in the second, and all summed together. Once you can do this, you've computed a basis function for a Taylor series. Multiply each basis function by a coefficient and sum them together to create an arbitrary function of k(i) and q(j). Using this technique, we can compute the Taylor series approximation for the numerator and the denominator of the softmax activation each taking logN * {number of coefficients} parallel steps, or O(N) sequential steps by treating the accumulation as a type of RNN.
Let's assume we have a tensor x of shape (sequence_length, embedding_dim), and we can compute the query, key and value tensors from x using q=Qx, k=Kx and v=Vx, where Q, K and V are matrices. Compute y = (k[:,i]**n)*v. Now use the parallel scan technique to accumulate the partial sums of every vector in y, which will give ParallelPartialSum(y)=[y[0,:], y[0,:]+y[1,:], ...]. Now multiply the result by q[:,j]**m, and now we have a basis function for a Taylor series expansion. The full formula is q[:,j]**m * ParallelPartialSum((k[:,i]**n)*v). Next, we can add up these functions for different powers of n and m using coefficients to approximate any function. The final equation is \sum_{n, m} A_{n, m} q[:,j]**m * ParallelPartialSum((k[:,i]**n)*v).
What is left is to find the Taylor series coefficients A_{n, m} and to calculate the normalization for the softmax. I'm not actually going to give an equation for A_{n, m}, but I will show that it can be done. First, I'm just going to write $q \cdot k$ in place of $q[:,j,:] \cdot k[:,i,:]$ to make it easier to write and read. We want the Taylor series of $exp(q \cdot k) = 1 + (q \cdot k) + (q \cdot k)**2 / 2! + ... + (q \cdot k)**n / n! + ...$. To find the Taylor series coefficient for every component of q and component of k and every power of each, you'd have to expand out (q \cdot k)**n /n! for every n. It can be done but I'm not going to do it. Just assume that A_{n, m} is equal to these coefficients, and voila, we have the numerator of the softmax equation for self-attention. We still need the denominator. To compute the denominator of the softmax over attention scores, you compute the same sum replacing the value tensor with the number 1. $\sum_{n, m} A_{n, m} x[:,j]**m * ParallelPartialSum((x[:,i]**n))$, where again the value vector at the end of the equation is removed. The final equation for the causal self-attention layer is:
$$ (\sum_{n, m} A_{n, m} q[:,j]**m * ParallelPartialSum((k[:,i]**n)*v)) / (\sum_{n, m} A_{n, m} q[:,j]**m * ParallelPartialSum((k[:,i]**n))) $$
Where again, A_{n, m} are the Taylor series coefficients for exp( q \cdot k).
Non-linear activations are necessary for neural networks to work well. Linear RNNs can be parallelized using parallel scans, and since it is a linear function, one might think that this technique is not as powerful as other neural network layers. One shouldn't make the mistake to think that only linear RNN can be parallelized with linear scans. Non-linear RNNs can also be parallelized so long as the recursive update rule is associative. One might think that this restriction somehow makes the model weaker, I did, at first. But if associative recursion formulas are enough to create transformers(albeit inefficiently), then it stands to reason that they can do anything a transformer can, which is a lot. The only question is whether it's possible to come up with an efficient activation. Maybe MAMBA already did, maybe there is something better.
[1] https://en.wikipedia.org/wiki/Prefix_sum
[2] https://arxiv.org/abs/2312.00752
submitted by lildaemon to MachineLearning [link] [comments]
I think I figured out how to do self-attention in transformer models in O(NlogN) computation steps rather than O(N^2), with a caveat. I'm not trying to be an academic, so I don't care to publish this formally, but I thought that some people might be interested. My construction is not efficient or practical, but the fact that it can be done at all might motivate further work to find efficient alternatives.
tl;dr Use the parallel scan[1] technique to compute taylor series basis functions needed to compute the causal self-attention layer and sum these together weighted by the values vector and 1 to get the numerator and denominator of the softmax activation of the full causal self-attention layer. The basis functions that you have to compute are both the basis functions for the numerator of the self-attention layer, $\sum_{i=0}^{j-1} k(i)_a^n q(j)_b^m v(i)$ and the normalization $\sum_{i=0}^{j-1} k(i)_a^n q(j)_b^m$. k(i)_a^n is component-a of the ith key vector raised to the power of n multiplied by q(j)_b^m which is component-b of the jth query vector raised to the power of m, which is multiplied by the value vector at position i in the first equation and by 1 in the second, and all summed together. Once you can do this, you've computed a basis function for a Taylor series. Multiply each basis function by a coefficient and sum them together to create an arbitrary function of k(i) and q(j). Using this technique, we can compute the Taylor series approximation for the numerator and the denominator of the softmax activation each taking logN * {number of coefficients} parallel steps, or O(N) sequential steps by treating the accumulation as a type of RNN.
Background
I was inspired to think about this because I was implementing MAMBA[2] and trying to understand what kind of non-linearities can be created using the parallel scan technique. The parallel scan technique is a way of parallelizing recursive formulas. If you don't know what parallel scan is, let me demonstrate with an example. The simplest example of the parallel scan technique is computing all partial sums of a sequence of numbers in log(N) time. Imagine you have a sequence [a_1, a_2, a_3, a_4, ...]. You can compute all partial sums by first adding a_i to a_{i -1}, where a_{-1} is zero, and generally a_{-n} is defined to be zero. Then take the result, call it r = [a_1, a_1+a_2, a_2 + a_3, ...], and compute r_i + r_{i-2}, which gives [a_1, a_1+a_2, a_1+a_2+a_3, ...]. The first 4 partial sums are already complete. The next step would be r_i + r_{i-2**2}, and the next step, just increase the power of 2 until i-2**power is negative for every i in the sequence. It basically sums groups, and then sums those groups together, and so on and so forth until the partial sum at each position is calculated. The scan technique is a way to parallelize an RNN. Essentially, you remove some nonlinearities in the RNN so that recurrence equation becomes associative. Once it is associative, you can compute the hidden state at each position of the sequence in log N parallel steps, where each parallel step has O(N) parallel computations.The Meat of It
In the background section, I explained how to compute a partial sum in O(log(N)) time and O(NlogN) computation steps (or O(N) time and O(N) computation steps by using RNNs) using the parallel scan technique. I'll use this now to construct the Taylor series for causal self-attention layer used in transformer models.Let's assume we have a tensor x of shape (sequence_length, embedding_dim), and we can compute the query, key and value tensors from x using q=Qx, k=Kx and v=Vx, where Q, K and V are matrices. Compute y = (k[:,i]**n)*v. Now use the parallel scan technique to accumulate the partial sums of every vector in y, which will give ParallelPartialSum(y)=[y[0,:], y[0,:]+y[1,:], ...]. Now multiply the result by q[:,j]**m, and now we have a basis function for a Taylor series expansion. The full formula is q[:,j]**m * ParallelPartialSum((k[:,i]**n)*v). Next, we can add up these functions for different powers of n and m using coefficients to approximate any function. The final equation is \sum_{n, m} A_{n, m} q[:,j]**m * ParallelPartialSum((k[:,i]**n)*v).
What is left is to find the Taylor series coefficients A_{n, m} and to calculate the normalization for the softmax. I'm not actually going to give an equation for A_{n, m}, but I will show that it can be done. First, I'm just going to write $q \cdot k$ in place of $q[:,j,:] \cdot k[:,i,:]$ to make it easier to write and read. We want the Taylor series of $exp(q \cdot k) = 1 + (q \cdot k) + (q \cdot k)**2 / 2! + ... + (q \cdot k)**n / n! + ...$. To find the Taylor series coefficient for every component of q and component of k and every power of each, you'd have to expand out (q \cdot k)**n /n! for every n. It can be done but I'm not going to do it. Just assume that A_{n, m} is equal to these coefficients, and voila, we have the numerator of the softmax equation for self-attention. We still need the denominator. To compute the denominator of the softmax over attention scores, you compute the same sum replacing the value tensor with the number 1. $\sum_{n, m} A_{n, m} x[:,j]**m * ParallelPartialSum((x[:,i]**n))$, where again the value vector at the end of the equation is removed. The final equation for the causal self-attention layer is:
$$ (\sum_{n, m} A_{n, m} q[:,j]**m * ParallelPartialSum((k[:,i]**n)*v)) / (\sum_{n, m} A_{n, m} q[:,j]**m * ParallelPartialSum((k[:,i]**n))) $$
Where again, A_{n, m} are the Taylor series coefficients for exp( q \cdot k).
Take-Aways
One big take away from this work, is that since causal self-attention can be calculated using the parallel scan technique, and since a parallel scan can be computed with an RNN, it follows that full causal self-attention can be computed with RNNs. The caveat is that you need many RNNs, one for each Taylor series basis function, so to get a good enough approximation of the softmax activation, you'd probably need a lot of coefficients, more than would be practical. On the other hand, what if there is a related activation that does the job of the softmax, but can be constructed with far fewer parallel scans? Then full causal self-attention could be done using only a few RNNs. Also, there are other basis functions that can be computed with one parallel scan, for instance, basis functions for a Fourier series can be computed with one parallel scan.Non-linear activations are necessary for neural networks to work well. Linear RNNs can be parallelized using parallel scans, and since it is a linear function, one might think that this technique is not as powerful as other neural network layers. One shouldn't make the mistake to think that only linear RNN can be parallelized with linear scans. Non-linear RNNs can also be parallelized so long as the recursive update rule is associative. One might think that this restriction somehow makes the model weaker, I did, at first. But if associative recursion formulas are enough to create transformers(albeit inefficiently), then it stands to reason that they can do anything a transformer can, which is a lot. The only question is whether it's possible to come up with an efficient activation. Maybe MAMBA already did, maybe there is something better.
[1] https://en.wikipedia.org/wiki/Prefix_sum
[2] https://arxiv.org/abs/2312.00752
Update
Actually there is a better algorithm for the parallel scan given in the wiki link above[1]. That means that causal self-attention can be calculated with O(log N) time and O(N) steps instead of O(NlogN) steps.2024.05.14 04:33 remidragon Ramielust Tank: A Review
Where I live the heat and humidity can be brutal, and this year spring is already cooking. So how chuffed was I when Outlier sent me a ramielust tank to test. For the last couple of weeks I’ve been wearing it into the ground. I wanted to really test it, so I leaned into it a bit more than I generally would. At this point it’s seen eight full days of wear (and a cpl partial), has been washed five times, slept in, worked out in, dressed up (a bit), tugged on by a small child and a small-legged dog, and is still in one piece. I know this form, in this fabric, has been highly anticipated by many (myself included) - so here’s what I’ve got:
submitted by remidragon to Outlier [link] [comments]
- Quick Stats:
- I’m 5’10” (or so) and I’ve generally considered my “true size” to be L for Outlier, but have been sizing up lately and enjoying it. I took an XL for a loosebreezier fit in Lilac Mist. I likely will stick with XL however I think I could definitely wear L and fit would still be solid.
- Fabric
- Ramie is a natural fiber, it’s old and it’s bast, if you’ve never encountered it before here’s a better description than I’m going to write: https://outlier.nyc/products/ramielustIn-hand
- In-hand, this batch of ramielust is weighty and smooth, with a dull shine that almost makes it look slightly metallic (ramie-lustrous). The feel of it is like cooled silk. It can be counterintuitive to pull on a heavier (200gsm) fabric to head out into the heat, but in practice the fiber is always pulling heat away from you, while the openness of the fabric welcomes any breeze right through. Along with the weight comes drape that isn’t typical of lighter and stiffer summer fabrics – in motion the sway of the fabric is elegant and special, especially with the cut of the garment (more on that later). The shine of the fabric does become milder following the first wash, but I didn’t notice any significant change after the second or third wash, it’s still got a light gleam to it.
- To be honest, I’ve been looking forward to this fabric, but I didn’t expect it to feel this nice having only ever tried the very first run of ramielust some time ago – I didn’t intend to wear it four days in a row. But I kept reaching for it in part just because I wanted to feel the fabric again.
- Fit + Form
- The only Outlier tank I’ve tried prior to this was the Push/Pull Tank. Compared to that cut (in the same size), the Ramielust Tank is a much looser format. The neckline falls lower, and the chest/body is cut wider – it’s a much easier, more leisurely feel, and the ramielust weight makes the additional fabric really drip down and around you in the most lovely way.
- The cut is open and refined. As with the push/pull tank, the straps are nice and broad, which matches nicely the width of the ramielust tank in the body; it’s substantial, loose, and breezy. When I first tried the tank on pre-wash I immediately thought it was too long, bunching around my hips, but after the first wash/dry the length felt perfect; not cropped, but flowing freely around my midsection when I moved. The fabric sort of leans against you a bit, instead of giving you a full on hug. Not prone to static, just luxurious wavy folds. I really hope this cut shows up more in the future.
- Items of Interest
- Color + Transparency
- The fabric is a bit transparent, but not too much - I have a lot of contrast between my skintone and tattoos, and I wasn’t able to easily see my tattoos through the fabric unless the light was pretty direct, and then only where the fabric was flat and close to my skin. The color is crazy, similar to the other lilacs Outlier has done, but with the added touch of the slightly metallic shine of the fabric. If you’re at all inclined toward this color (in tank or other format), you should go for it.
- Shrinkage Etc.
- I washed on delicate and dried on medium heat (despite the care instructions pleading to dry on low heat) for all five wash/dry passes. On first wash there was ~2” of shrinkage in length, and probably 0.5”-1” of shrinkage to width. The width, I think, released out a bit with wear but the cut is roomy enough that it wasn’t especially noticeable either way. The length also stretches back out a touch, mb 0.5" or so, I think it was calibrated with shrinkage in mind, as again for me the fit was better after losing length. The fabric always tightens up a touch after dry and then relaxes out quickly with wear, which has been true of prior ramielust runs. In comparison to the push/pull tank: I measured 24” across the ramielust tank after first wash/dry, and measured 20” across the push/pull tank which has taken the same wash/dry treatment. Length is similar btwn the two, with ramielust tank being about 1” shorter after wash.
- Hand Feel vs. Prior Runs
- The only other ramielust I’ve had was from the very first run, and I found it effective at dealing with heat but generally rough and a bit unfortunate in terms of texture. This ramielust is very different. I think it was described as “buttery” on live and that’s apt af. If you tried ramielust before and found it rough, you may be pleasantly surprised by how soft and welcoming this run is.
- Twist
- I mean, it exists. It’s not bad, but if you look for it, yea it’s there. If you’ve had ramielust before, it’s pretty much the same thing, either a dealbreaker for you or not. Twist has bothered me in the past but with the looseness and flow of this cut, you really have to be looking for it to notice it.
- Durability
- Not really a selling point for this fabric, but I was pleasantly surprised by how little battle damage I could find after multiple days of non-delicate wear. I found the fabric stretched out across the day a bit but with a wash/dry snapped back to regular form. I did find one small snag on the fabric, not sure where it came from (dogs).
- Pet Hair
- The secret metric for all Outlier fabrics: To what extent does it hold onto pet hair (or lint or whatever) - pleased to report that pet hair comes off of this fabric with little (relative) effort. Take the shirt off, give it a proper shake and a whip, and most of the fur will fall away.
- Random Thoughts/Scenarios
- Wearing under injex overshirts, I noticed that my skin was cooler where it was touching ramie vs. where it was touching injex
- Wearing directly under a rain shell, same thing, felt much cooler where ramielust was touching me vs. the goretex-ish material (no surprise there)
- Wearing as part of a semi-formal outfit works, I think, because of the very apparent quality of the fabric - both color and luster help give it an “elevated” look that can be pretty well dressed up, and Lilac Mist is nice against black.
- Works pretty well as a workout shirt (especially in a small, hot garage with no airflow), handles sweat great, is still soft against the skin even with moisture in the mix; I did drag it against knurling a few times and didn’t find any abrasion damage. Not a replacement for a dedicated exercise shirt and isn’t meant to be, but in a hot and humid environment it’ll do the trick.
- I did have a tiny hand, at one point, tug abruptly on a handful of the fabric, which caused an area to stretch out and bag slightly; a wash and dry snapped it back to normal
- Color + Transparency
- My Feelings
- In the end, my feelings are that this form is the highest and best use for the ramielust fabric (yet). This tank makes me feel protected and unrestricted out in the heat. It keeps me comfortable, it’s easy. I have to look for reasons not to wear it, and I’m running out of them.
- Pictures
2024.05.14 04:03 Rseattle206 [WTS] *PRICE DROP* BCM 16" MID-LENGTH UPPER W/ BCM BCG & GUNFIGHTER CH ($450), CENTURION 12" C4 QUAD RAIL ($215)
TIMESTAMP - 5/13/24 Price Drop
ITEM 1: BCM 16" Mid-Length Barreled Upper w/ BCM BCG and BCM GUNFIGHTER CH
1. BCM Bolt Carrier Group
2. BCM GUNFIGHTER Mod 4 Charging Handle (VLTOR Medium Latch)
ADDITIONAL BCM MID-LENGTH UPPER PICS
This upper has seen 1500k-1600k rounds. Cleaned after each range session. Some handling marks over the years but continues to shoot reliably.
Selling for $450.00 shipped CONUS. Add $10 if additional insurance is required by buyer. Payment accepted is via PayPal G&S.
ITEM 2: Centurion 12" C4 Quad Rail (2-Piece Free Float)
This Centurion rail utilizes the standard AR-15 barrel nut (not included with rail). Some handling marks over the years. All hex screws included with rail.
Selling for $215.00 shipped CONUS. Add $8 if additional insurance is required by buyer. Payment accepted is via PayPal G&S.
If you are interested in both the barreled upper assembly and C4 rail I will sell for $645.00 shipped CONUS. Add $15 if additional insurance is required by buyer. Payment accepted is via PayPal G&S.
submitted by Rseattle206 to GunAccessoriesForSale [link] [comments]
ITEM 1: BCM 16" Mid-Length Barreled Upper w/ BCM BCG and BCM GUNFIGHTER CH
- Chrome-lined Chamber & Bore
- USGI 1/7 Twist Rate
- Mil-Spec Barrel Steel (Mil-B-11595E)
- Manganese Phosphate Barrel Finish
- Government Profile
- HPT / MP Inspected
- BCM Low Profile Gas Block
- Factory Assembled
1. BCM Bolt Carrier Group
2. BCM GUNFIGHTER Mod 4 Charging Handle (VLTOR Medium Latch)
ADDITIONAL BCM MID-LENGTH UPPER PICS
This upper has seen 1500k-1600k rounds. Cleaned after each range session. Some handling marks over the years but continues to shoot reliably.
Selling for $450.00 shipped CONUS. Add $10 if additional insurance is required by buyer. Payment accepted is via PayPal G&S.
ITEM 2: Centurion 12" C4 Quad Rail (2-Piece Free Float)
- Weight: 14.2oz with screws---1.1oz with standard barrel nut
- Length: 12.565in
- Width: 2.1in
- Height: 2.38
- Inside diameter: 1.37
This Centurion rail utilizes the standard AR-15 barrel nut (not included with rail). Some handling marks over the years. All hex screws included with rail.
Selling for $215.00 shipped CONUS. Add $8 if additional insurance is required by buyer. Payment accepted is via PayPal G&S.
If you are interested in both the barreled upper assembly and C4 rail I will sell for $645.00 shipped CONUS. Add $15 if additional insurance is required by buyer. Payment accepted is via PayPal G&S.
2024.05.14 03:37 MagnoliaStyle Which blow out brush does the best job?
Context: I have medium long, THICK hair. Lots of long layers.
I have been a ride or die for my revlon brush over the last few years but I don’t know if there’s something better out there.
I tried the shark flex style and it was okay for a while but I went back to revlon.
I tried the Dyson and that’s a BIG no for me. Really damaged my hair.
Is revlon the best one? Or is there something better you’ve tried and fallen in love with?
submitted by MagnoliaStyle to Hair [link] [comments]
I have been a ride or die for my revlon brush over the last few years but I don’t know if there’s something better out there.
I tried the shark flex style and it was okay for a while but I went back to revlon.
I tried the Dyson and that’s a BIG no for me. Really damaged my hair.
Is revlon the best one? Or is there something better you’ve tried and fallen in love with?
2024.05.14 03:32 Smooth_Trouble_3933 [WTS][BC]TM Stanag Mags and Battlebelt
Selling 2X Brand new OEM TM MWS M4 mags , Gen #4 stamp. bought a pack and dont need that much, asking 150$ for both or 80$ Each. Mags
Selling a Medium size IDOGEAR 2 Inch Tactical Belt with 2x Krydex M4 mag pouch on one-velco system. very tight mounting and wont move like a normal molle. Asking 80$ for the Set up. (M Fits waist 86-96cm, whole length 142cm)
Belt
Prefer local sale but can ship on buyers expense.
submitted by Smooth_Trouble_3933 to airsoftmarketcanada [link] [comments]
Selling a Medium size IDOGEAR 2 Inch Tactical Belt with 2x Krydex M4 mag pouch on one-velco system. very tight mounting and wont move like a normal molle. Asking 80$ for the Set up. (M Fits waist 86-96cm, whole length 142cm)
Belt
Prefer local sale but can ship on buyers expense.
2024.05.14 03:28 Lilith_Cain Imallure Cheongsam review
 | Please excuse my potato phone camera submitted by Lilith_Cain to weddingplanning [link] [comments] I'm 5'0" and U.S. street size 12/14. I ordered this dress: https://imallure.com/collections/red-cheongsam/products/wine-red-lace-a-line-qipao-cheongsam-dress . Order was placed April 13 with custom measurements, and I received follow-up emails on April 15 and April 17 for additional measurements. Dress arrived May 11. Requested measurements were: bust, waist, hips, height, weight, dress length, neck, armhole, and shoulder distance. (I'm confident taking my own measurements; my mother used to work in a fabric store; I also submitted my measurements in metric). 4.98/5 would buy again, very satisfied, etc. Fits great! It's super comfortable.Notes: Lace is a different color than the base layer (red-orange instead of red-red like the product photo; it's fine though); plastic snap closure at the neck instead of a metal hook; no tags nor care instructions; no shipping notification, but arrived via domestic USPS (likely drop shipped) |
2024.05.14 03:27 vespaking Entry level cleaver first impressions: Hatsukokoro Chinese Cleaver
I recently sought recommendations for my first Chinese cleaver on this sub and opted for Hatsukokoro over the more often suggested CCK due to similar pricing and a preference for San Mai construction.
I havent spent a ton of time with it but initial impressions are disappointing.
The Kurouchi (forge scale) finish seems more like a post-forging forced oxidation than an actual forge scale finish. Its basically a layer of rust thats not particularly well adhered to the blade and wipes off pretty easily.
Edge retention was another letdown; it's supposedly Shirogami #2 steel with a Rockwell hardness of 61-62, but I wasn't able to get a clean edge at even 20DPS on my guided system. The steel just doesn't seem fine grained or hard enough. Perhaps some more experienced folks here can educate me on this... am I being unreasonable to expect a clean edge on this steel at under 20DPS?
In practice, the knife performs adequately, excelling in slicing vegetables and has a light feel in hand. As an entry to the genre for me, I'm glad I didn't spend more. Since I'm a complete knife snob, I'll be looking to upgrade eventually though.
submitted by vespaking to TrueChefKnives [link] [comments]
I havent spent a ton of time with it but initial impressions are disappointing.
The Kurouchi (forge scale) finish seems more like a post-forging forced oxidation than an actual forge scale finish. Its basically a layer of rust thats not particularly well adhered to the blade and wipes off pretty easily.
Edge retention was another letdown; it's supposedly Shirogami #2 steel with a Rockwell hardness of 61-62, but I wasn't able to get a clean edge at even 20DPS on my guided system. The steel just doesn't seem fine grained or hard enough. Perhaps some more experienced folks here can educate me on this... am I being unreasonable to expect a clean edge on this steel at under 20DPS?
In practice, the knife performs adequately, excelling in slicing vegetables and has a light feel in hand. As an entry to the genre for me, I'm glad I didn't spend more. Since I'm a complete knife snob, I'll be looking to upgrade eventually though.
2024.05.14 03:15 MILFVADER Wide foot friendly alternative to 1460 Pascal Bex? Or wide foot friendly alternative brand to Dr Martens?
I've had enough of my 1460 Pascal Bex boots. They're simply not working with my wider feet. I got my true size (women 11) and they were too long, I got one size down which fits better in length, but absolutely crushes my feet in width.
No amount of breaking the boots in, wearing multiple layers of socks, stretching/waxing etc was helping, and I'm over having to wear a shoe for weeks/months to make it comfortable. I hate sore feet and blisters.
I'm going to be selling my pair AGAIN and am done with Dr Martens for the time being. The Bex is the only look I like.
Does anyone have any recommendations for boots that look like the Bex, but are wide foot friendly? Or even recommendations for a leather boot brand that fit wide feet too?
Thanks!
submitted by MILFVADER to DrMartens [link] [comments]
No amount of breaking the boots in, wearing multiple layers of socks, stretching/waxing etc was helping, and I'm over having to wear a shoe for weeks/months to make it comfortable. I hate sore feet and blisters.
I'm going to be selling my pair AGAIN and am done with Dr Martens for the time being. The Bex is the only look I like.
Does anyone have any recommendations for boots that look like the Bex, but are wide foot friendly? Or even recommendations for a leather boot brand that fit wide feet too?
Thanks!
2024.05.14 02:51 No_Series7403 Pistol vs Carbine gas system
Looking to build my GP rifle. I’m sold on 300 blackout. I need the flexibility to hit targets out to 300ish. Everything from varmints to medium game, deer, hogs. I have a quiet device I plan to use from my 308. I reload already so building ammo to shoot super and sub isn’t a big deal. I would like to keep a 16” barrel.
I need some advice on the gas length pros cons.
submitted by No_Series7403 to ar15 [link] [comments]
I need some advice on the gas length pros cons.
2024.05.14 02:19 Budget_Treat_6776 Planet Zelo: Zorvania
 | Supercontinent: Zorvania submitted by Budget_Treat_6776 to worldbuilding [link] [comments] Geography Formation:
-Atmospheric Conditions:-
-Forest Density:-
|
2024.05.14 02:17 TheGrandPoohBear Music/artists like UV Sir J?
He was pretty prolific almost a decade ago then disappeared. His layering and synth use is unlike anyone I've heard before. Anyone know of artists who make music like his? Here's an example: https://soundcloud.com/not-applicable-821752373/uv-sir-j-roundabout-yes?si=a52971e027fd40dd9e1172c63fc7a18f&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing
submitted by TheGrandPoohBear to Music [link] [comments]
2024.05.14 02:13 chrio7 Help
23 M- ’ve been dealing with what i believe is dry scalp for so long now, unable to find a permanent solution. i used to think it was just seasonal in the summer heat, but it’s been constant for so long now.
My main issue is that whenever i engage in any moderate physical exercise, creating any sort of sweat, my scalp becomes unbearably itchy and painful. (currently writing this while hiking in sunny 70° weather because of how bad it is). i try my best not to scratch and irritate it , but it is near impossible to leave alone. i am constantly running my hands through my hair for temporary relief. it makes weight lifting dreadful.
Also at work, when anything stressful happens and i become nervous and warm (slightly sweaty) , the itching comes on.
I have short to medium length curly hair . I have tried Nizoral, plenty dandruff shampoos, oils like Aragon and rosemary directly on my scalp. I also shower in luke warm water instead of hot, i use what i think are good moisturizing shampoos and conditioners, washing every 2-3 days, i also use leave in conditioners to style my hair pretty often, not sure how that impacts it. what has helped in the past , although not consistently, is head and shoulders. i would use it more often but folks say its not good for your hair.
Looking for any advice and help. TIA
Side note, it may be completely unrelated but after every time i shower , no matter where, my body (arms and legs the most) become so so itchy as well. even with oils or lotions, but for like 10-15 minutes and then it’s fine.
submitted by chrio7 to Haircare [link] [comments]
My main issue is that whenever i engage in any moderate physical exercise, creating any sort of sweat, my scalp becomes unbearably itchy and painful. (currently writing this while hiking in sunny 70° weather because of how bad it is). i try my best not to scratch and irritate it , but it is near impossible to leave alone. i am constantly running my hands through my hair for temporary relief. it makes weight lifting dreadful.
Also at work, when anything stressful happens and i become nervous and warm (slightly sweaty) , the itching comes on.
I have short to medium length curly hair . I have tried Nizoral, plenty dandruff shampoos, oils like Aragon and rosemary directly on my scalp. I also shower in luke warm water instead of hot, i use what i think are good moisturizing shampoos and conditioners, washing every 2-3 days, i also use leave in conditioners to style my hair pretty often, not sure how that impacts it. what has helped in the past , although not consistently, is head and shoulders. i would use it more often but folks say its not good for your hair.
Looking for any advice and help. TIA
Side note, it may be completely unrelated but after every time i shower , no matter where, my body (arms and legs the most) become so so itchy as well. even with oils or lotions, but for like 10-15 minutes and then it’s fine.
2024.05.14 02:07 Babababonfire505 Grommets for Ski Bag (Thick Material)
 | My ski bag zipper go mangled beyond repair by TSA. I don’t want to replace it as they are expensive and money doesn’t grow on trees. Plus who doesn’t enjoy being resourceful in our throwaway world? submitted by Babababonfire505 to sewing [link] [comments] I was thinking of forgoing the zipper completely and putting grommets the entire length on each side of the zipper and using a heavy duty shoelace(s) and cinche it up tight for travel. Its thick material, one side is like a synthetic canvas, the other side is tarp material with a layer of insulation between. Uncompressed I’d guess about 3/16” thick, compressed maybe down to an 1/8” or so. My question to the community is, is this a decent plan? And most importantly, what kind of grommets and grommet tool do I need for material like this. Thank you in advance for reading and your responses :) |
2024.05.14 01:37 sikkislitty Looking for AM/PM Grill tutor help.
TL:DR - Looking for a list of steps I can follow to guide me for AM/PM grill. Store has no hours to train me at the moment, but I really want to learn the position
Hello I want to learn grill. Unfortunately with my store’s ADS and labor right now it looks like my training is going to keep getting pushed off.
In the meantime I am trying to pick up more AM chip shifts and PM prep shifts, so that I can squeeze in minutes here and there to shadow the grill person.
Thanks for your help. Here is a cheatsheet I wrote for myself after watching the Spice Hub videos to show you where I am at with what I know:
❗️Barbacoa - put meat in pot - Medium heat until 165 for 15 seconds (stir occasionally)
❗️Carnitas - put meat in pot - Low heat until 165 for 15 seconds (stir occasionally)
❗️Beans - open bag into pot - Pour 1 cup water - Medium heat and stir - Temp to 165 - 1/3 c citrus and 1 tbsp salt and stir
❗️Chicken - 2 squirts of rice bran oil per line - Rows 1 inch apart. Start back to front - Light layer of salt 8 inches above - Cook until dark char plus whitening along sides - Flip - Submerge tong after 1st flip - 165 (temp center and corner chickens) - Cut 3/4inch (put immediately in pan while cutting more)
❗️Fajitas - 4 squirts sunflower oil - Add fajitas then 3.5 minutes - Flip with tongs - 1 minute for caramelize - Then sprinkle with salt light layer and 1 tsp dried oregano
❗️Queso - medium heat water pot 190-200 degrees - Write time on bag - 35-50 mins - Knead bag with towel - Temp to 165
❗️Rice - white: 1/2 citrus 2c cilantro 2tbsp salt - Brown: 1/4 citrus 2c cilantro 1tbsp salt
❗️Sofritas - pour medium heat stir temp to 165
❗️Steak - place 1” apart back to front - Sprinkle with salt light layer - Cook until dark char - Flip steak back to forward - Temp to 140 - Deep and cover - Trim fat - 3 steak cut at a time - Pour juice over it
submitted by sikkislitty to Chipotle [link] [comments]
Hello I want to learn grill. Unfortunately with my store’s ADS and labor right now it looks like my training is going to keep getting pushed off.
In the meantime I am trying to pick up more AM chip shifts and PM prep shifts, so that I can squeeze in minutes here and there to shadow the grill person.
Thanks for your help. Here is a cheatsheet I wrote for myself after watching the Spice Hub videos to show you where I am at with what I know:
❗️Barbacoa - put meat in pot - Medium heat until 165 for 15 seconds (stir occasionally)
❗️Carnitas - put meat in pot - Low heat until 165 for 15 seconds (stir occasionally)
❗️Beans - open bag into pot - Pour 1 cup water - Medium heat and stir - Temp to 165 - 1/3 c citrus and 1 tbsp salt and stir
❗️Chicken - 2 squirts of rice bran oil per line - Rows 1 inch apart. Start back to front - Light layer of salt 8 inches above - Cook until dark char plus whitening along sides - Flip - Submerge tong after 1st flip - 165 (temp center and corner chickens) - Cut 3/4inch (put immediately in pan while cutting more)
❗️Fajitas - 4 squirts sunflower oil - Add fajitas then 3.5 minutes - Flip with tongs - 1 minute for caramelize - Then sprinkle with salt light layer and 1 tsp dried oregano
❗️Queso - medium heat water pot 190-200 degrees - Write time on bag - 35-50 mins - Knead bag with towel - Temp to 165
❗️Rice - white: 1/2 citrus 2c cilantro 2tbsp salt - Brown: 1/4 citrus 2c cilantro 1tbsp salt
❗️Sofritas - pour medium heat stir temp to 165
❗️Steak - place 1” apart back to front - Sprinkle with salt light layer - Cook until dark char - Flip steak back to forward - Temp to 140 - Deep and cover - Trim fat - 3 steak cut at a time - Pour juice over it
2024.05.14 01:17 BlendinMediaCorp My first mousse cake and my first time using ganache!
 | For his birthday, my husband requested a cake that was “chocolate, with… like chocolate creamy stuff”. So I decided on a triple chocolate mousse cake. I wanted it to be as airy as possible, so decided to go classic with the mousse, using a meringue in it and all. The layers: submitted by BlendinMediaCorp to Baking [link] [comments]
It was also my first time using a cake collar and acetate liner … I somehow got the liner stuck on one of the cake collar hooks but managed to get it off without mangling the cake too much. Not to pat myself on the back but it really tasted incredible. Like an ice cream cloud in cake form — super decadent and pillowy without being overly sweet. Can’t wait to do this again someday, hopefully without screwing up the chocolate mousse twice and having to start over! (I have soooooo many leftover egg white because of this 😂) |
2024.05.14 01:14 Spellscribe Fine and thin style cut tips?
My hair is fine and thin - not falling out, just skinny strands that I've always had, and fewers hairs to fill the gaps. I'm generally pretty gentle and low maintenance with it - I rarely use heat, barely use styling products, just wash/condition/add a leave in conditioner or serum. I trend towards dry hair, that's a bit frizzy, with curls ranginging from a few corkscrews to that one la my but at the front that is barely a wave.
I'm way overdue for a haircut (like... A year 🙈) and have a solid inch or two of heavy grey. I'm considering lopping it all off for a short, bouncy cut - longer than a pixie but only by enough to let it curl. I'm just worried it's no longer thick enough to pull off, or that I'll end up looking like Betty White before my time 😅
I've tried online but I can't find images of hairstyles for genuinely thin hair. All the models look like they have 10x the density I do. Or it's just style tips to fluff it up, rather than advice on length and layers.
Any advice?
submitted by Spellscribe to curlyhair [link] [comments]
I'm way overdue for a haircut (like... A year 🙈) and have a solid inch or two of heavy grey. I'm considering lopping it all off for a short, bouncy cut - longer than a pixie but only by enough to let it curl. I'm just worried it's no longer thick enough to pull off, or that I'll end up looking like Betty White before my time 😅
I've tried online but I can't find images of hairstyles for genuinely thin hair. All the models look like they have 10x the density I do. Or it's just style tips to fluff it up, rather than advice on length and layers.
Any advice?
2024.05.14 01:05 sunflowerorbital Why do my waves disappear when my hairs longer?
So like 3 years ago I shaved all my hair off and it was very wavy while it was growing back. Once it reached a certain length it looses it’s definition and becomes more frizzy than wavy. I do have like really thick hair but even after getting thinning layers my waves still aren’t as defined as when my hair is short. What can I do to change this? I currently use leave in conditioner for wavy hair and wear a satin bonnet while sleeping, that has helped a bit but not as much as I’d like.
submitted by sunflowerorbital to Wavyhair [link] [comments]
2024.05.14 00:30 Banono-boat Hair products to beat insane summer humidity and keep your blowout fresh?
I’m moving to Japan in July and am super excited. I am also into putting effort into my appearance no matter the season lol. I’ve been giving myself at-home blowouts for most of my adult life, but where I live currently is not quite as humid (nor humid for as long of a time) as Japan - so I’m wondering if anyone has recommendations for products that work well for preserving a blow dry during extremely humid summers - sprays, creams, whatever. Bonus points if it’s something I might be able to get my hands on now to test out! I have tried Color Wow, and wasn’t impressed. It made my hair feel straw like after two uses despite following the instructions to a T. I’m a little worried some of the Asian beauty products will be too heavy for my hair.
I am white, and have somewhat wavy hair that will start to make really nice waves at home but become super prone to frizz if I breathe on it wrong. My hair is very fine but of medium thickness, long, with long layers. I prefer an old school-type blowout with just a regular dryer with a nozzle and a round brush. Depending on the look and how much time I have, I’ll either quickly go over everything with a flat iron, set it, or curl it. I prefer a sleek/straight look with some volume for everyday. I shower at night so unless it’s for an event, I typically blow dry at night and then touch up in the morning. I thought about just getting a straightening treatment in Japan once I get there, but I get highlights, so I’m definitely not a good candidate for that.
submitted by Banono-boat to beauty [link] [comments]
I am white, and have somewhat wavy hair that will start to make really nice waves at home but become super prone to frizz if I breathe on it wrong. My hair is very fine but of medium thickness, long, with long layers. I prefer an old school-type blowout with just a regular dryer with a nozzle and a round brush. Depending on the look and how much time I have, I’ll either quickly go over everything with a flat iron, set it, or curl it. I prefer a sleek/straight look with some volume for everyday. I shower at night so unless it’s for an event, I typically blow dry at night and then touch up in the morning. I thought about just getting a straightening treatment in Japan once I get there, but I get highlights, so I’m definitely not a good candidate for that.