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#CMVijay's Sarcastic Reply: Few are creating an image as if I came directly from shooting and became CM.. Adhu verum "Reel" dhan.. Real illa..😃 Edhirthu pesinadhan edhir katchi nu nechutu pesravangaluku vanakam..

137,801 görüntüleme • 2 ay önce •via X (Twitter)

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Idha dhan sir solren Walking and cycling kuda poga mudiyala. Very Google photos app memories la dhan paakuren. How good and long cycle rides I went till 2022 nu. After that gradually it started to decrease Road conditions and air pollution are the prime reason 😔 Mudiyala. It is not the same chennai which I was exploring before. I have that many videos documented through the streets of Chennai. Ippa many places are completely different and conditions are not good too. Waste management 🥲 Plastics everywhere. Recently I visited Karungal. It is a town located in the Kanyakumari district, close to Nagercoil. Super clean ah irukku. Waste management was really good. People did not litter 🚯 waste around. Railway station kuda super clean. 1. While crossing Nagarcoil Town station (Puriyudhu population or the number of people accessing places do matters) but least used stations in chennai la kuda I can find plastic wastes flying here and there 😔 2. Nagarcoil Junction 3. From Karungal to Nagarcoil 4. Chennai la when I was travelling back to home from Tambaram Chennai la no one has emotional attachment with the land. Here people have come to earn. Natives are less and thereby majority are visitors kind. Therefore maximum of this population don't wish to take responsibility on goodness of the city. To keep a city clean. It is collective responsibility of people and also departments which are responsible for the well-being of public and places. kastama dhan irukku to see this city getting covered by plastic and e-waste everywhere 😭 Pallikaranai lam worst state la irukku. I have footage of that area from 2017 to 2025. I used to travel that way to office and also adhu dhan cycling route. Ipa lam andha Pakkam cycling possible illa both the rider and cycle will get permanent damage 😢 Idhu vanman lam illa friends. What I see in real is what I have shared here. Naan mistake pannirundha sorry 😔 Spelling and grammatical mistakes irundha double sorry paa I want the city to earn it glow 🌟 back 🔙

Siva Bharani Udaya Selvan

17,627 görüntüleme • 9 ay önce

#MYMODISTORY PM Narendra Modi ji has always inspired people to look beyond themselves and work for a larger cause. His conversations often plant seeds of ideas that grow into something impactful and lasting. When I won my first Grammy Award in 2015, one year after he became the Prime Minister, I wished to meet him. Soon after, I received a call from his office and my wish came true. I expected the meeting to last only a few minutes with some photographs. To my surprise, it became an hour-long discussion. During our conversation, we discovered our shared passion for protecting the environment and conserving every species. PM Modi ji spoke about his upcoming visit to COP21, the Paris Climate Change Conference. He shared his thoughts about the issues he would raise there, including the International Solar Alliance. As we exchanged ideas, we thought of creating an album that would present India’s perspective on climate change. The vision was to involve musicians from across the world and make it diverse and inclusive. This inspired me to create Shanti Samsara, an album featuring 500 musicians from 40 countries. Narendra Modi ji encouraged the project and gave it a global stage. He launched the album at COP21 in Paris by gifting it to the then President of France François Hollande and the UN Secretary-General Ban Ki-Moon. For me, it was more than music. It was about carrying forward a vision that the Prime Minister had sparked, using art as a voice for the planet. Modi Story

Ricky Kej

13,078 görüntüleme • 11 ay önce

As I promised yesterday, I'll briefly explain LoRA training and share a workflow I made so you can do it quickly. First, let me answer a very common question: 'Why train LoRAs when we have such advanced models?' Even though we have incredibly advanced models now (like NBP), we still can't always get them to do specific things we want. Simplest example: the spritesheet LoRA I made the other day. I generated 1000 images with Nano Banana and only 100 were what I wanted. The LoRA I trained using those 100 images gives me nearly 100% consistent results. Second point is cost and speed. With LoRA, we can cut costs by 4-5x. And while doing that, we're generating 4-5x faster. How many images do you need for a good LoRA? This depends on your LoRA's complexity. For example, when I training the spritesheet LoRA, even though I used 100 images, I didn't include buildings in the training data, so this LoRA doesn't work for buildings. So think about your LoRA's use cases and add examples for as many use cases as possible to improve quality. What are paired images and how to train LoRAs for image-editing? When training LoRAs for image editing on fal, we call each edit example paired images - one with _start suffix, one with _end suffix. For example, if you're training a background remove LoRA, the unedited original photo will be your '_start' image. The image with background removed will be the '_end' image. Simply put: images we want to edit or use as reference get _start, target images we want to achieve get '_end'. Important: save both images with the same name. Like image332_start.jpg and image332_end.jpg. This way the system knows which images pair together. What about training LoRAs for models with multiple image inputs? Same logic. We still use _start and _end suffixes, but with one difference. Since there are multiple input images, we can number them: _start, _start1, _start2. Example: start images, 1st image = Woman portrait (image35_start.jpg) 2nd image = Glasses photo (image35_start1.jpg) 3rd image = Hat photo (image35_start2.jpg) Output image = portrait of woman wearing glasses and hat (image35_end.jpg) Can we do more detailed captioning? Yes. Similarly, you can improve training quality by creating a txt file for each set with the caption inside. Example: create image35.txt and write: 'Recreate the image by putting the glasses from the second image and the hat from the third image on the woman in the first image.' What are Steps? How many should I use? What's Learning Rate? Steps determines how many times the model sees and processes your training data (your images). Each step, the model learns a bit more. But as steps increase, so does the risk of overfitting. So there's no real default. But for a simpler LoRA with 20 paired images, 1000 steps is ideal. Here's a metaphor for the Steps and Learning Rate relationship: Imagine you have a balloon. Our goal is to inflate it to the optimal size. Steps = How many times we blow into the balloon Learning rate = How hard we blow each time If we blow too softly, we need to blow many more times. If we blow too hard, we risk popping it quickly and can't reach optimal size. Of course training won't explode, but it won't work as intended because it wasn't trained optimally. Training's done, now what? Once training's complete, you'll have a safetensors file. Every model you train on fal has a LoRA inference endpoint. In that inference, add your safetensors file link to the LoRA url input, and you can use your LoRA. Thanks for the read! The workflow in the video: If I forgot anything, let me know in the replies.

ilker

15,184 görüntüleme • 7 ay önce