gokaygokay (gokay aydogan)

reacted to their post with 🔥 3 months ago

Post

7857

FLUX Prompt Generator Updates

- gokaygokay/FLUX-Prompt-Generator

- There are now hundreds of new selections across diverse categories, each offering a lot of choices:

Architecture, Art, Artist, Brands, Character, Cinematic, Fashion, Feelings, Geography, Human, Interaction, Keywords, Objects, People, Photography, Plots, Poses, Scene, Science, Stuff, Time, Typography, Vehicle, Video Game

- In addition to Hugging Face, I've integrated new LLM providers: Groq, OpenAI, and Claude.

- Upgraded Vision Language Models (VLMs): We now feature Qwen2-VL, JoyCaption and Florence-2-large.

- New specialized system prompts for various styles and themes, including Happy, Simple, Poster, Only Objects, No Figure, Landscape, Fantasy.

2 replies

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posted an update 4 months ago

Post

7857

FLUX Prompt Generator Updates

- gokaygokay/FLUX-Prompt-Generator

- There are now hundreds of new selections across diverse categories, each offering a lot of choices:

Architecture, Art, Artist, Brands, Character, Cinematic, Fashion, Feelings, Geography, Human, Interaction, Keywords, Objects, People, Photography, Plots, Poses, Scene, Science, Stuff, Time, Typography, Vehicle, Video Game

- In addition to Hugging Face, I've integrated new LLM providers: Groq, OpenAI, and Claude.

- Upgraded Vision Language Models (VLMs): We now feature Qwen2-VL, JoyCaption and Florence-2-large.

- New specialized system prompts for various styles and themes, including Happy, Simple, Poster, Only Objects, No Figure, Landscape, Fantasy.

2 replies

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reacted to kadirnar's post with 🔥❤️🚀 4 months ago

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4062

I am training a controlnet model for Flux. And some of my experiences:

Checkpoint-10000:

https://x.com/kadirnar_ai/status/1829831750471606668

Checkpoint-12000:

https://x.com/kadirnar_ai/status/1829889524962640001

Checkpoint-14000:

https://x.com/kadirnar_ai/status/1829989622878744711

Checkpoint (16000-18000):

https://x.com/kadirnar_ai/status/1830179551407665654

Dataset: kadirnar/fluxdev_controlnet_16k
GPU: 1xA100(80GB)
GPU Hours: 65

1 reply

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reacted to vikhyatk's post with 🔥 4 months ago

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5065

Pushed a new update to vikhyatk/moondream2 today. TextVQA up from 60.2 to 65.2, DocVQA up from 61.9 to 70.5.

Space has been updated to the new model if you want to try it out! vikhyatk/moondream2

reacted to isidentical's post with 🚀🔥 4 months ago

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3148

Introducing fal/AuraFace-v1: Commercially available & open source identity encoder model for next generation one shot personalization. Read more about it here: https://huggingface.co/blog/isidentical/auraface

reacted to merve's post with 🚀🔥 4 months ago

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3079

a new shape-optimized SigLIP just dropped 👀 google/siglip-so400m-patch14-224

reacted to isidentical's post with 🔥 4 months ago

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1788

fal/AuraFlow-v0.3 is now here with support for different aspect resolutions (w/h up to 1536px!) and much nicer aesthetics! Make sure to install the latest diffusers to get support for it.

reacted to ucsahin's post with 👍🚀❤️🔥 4 months ago

Post

3728

🚀 Introducing TraVisionLM: Turkish Visual Language Model - The First of Its Kind! 🇹🇷🖼️

I'm thrilled to share TraVisionLM on Hugging Face! With 875M parameters, this lightweight, efficient model handles Turkish instructions for image inputs. Fully compatible with the Transformers library, it’s easy to load, fine-tune, and use—no external libraries needed!

Developed solo, TraVisionLM is a strong foundation for low-resource language research. While still improving, it's a key step for Turkish-language AI. Your feedback is welcome as I refine the model.

🎉 Explore it now:

- Model: ucsahin/TraVisionLM-base
- Demo: https://huggingface.co/spaces/ucsahin/TraVisionLM-Turkish_Visual_Language_Model
- Object Detection Finetune: ucsahin/TraVisionLM-Object-Detection-ft

Let’s push Turkish visual language processing forward!

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🚀 TraVisionLM: Türünün İlk Örneği Türkçe Görsel Dil Modelini Sunuyorum! 🇹🇷🖼️

TraVisionLM modelini Hugging Face'te yayınladım! 875M parametre ile bu hafif ve verimli model, görüntüye dayalı Türkçe talimatları işlemek için tasarlandı. Transformers kütüphanesiyle tamamen uyumlu, yüklemesi, eğitmesi ve kullanması çok kolay—dış kütüphane gerekmez!

Tek başıma geliştirdiğim TraVisionLM, düşük kaynaklı dillerde araştırmalar için sağlam bir temel sunuyor. Geliştirmeye devam ederken geri bildirimlerinizi bekliyorum.

🎉 Hemen keşfedin:

- Model: ucsahin/TraVisionLM-base
- Demo: https://huggingface.co/spaces/ucsahin/TraVisionLM-Turkish_Visual_Language_Model
- Obje Tespiti İnce Ayarı: ucsahin/TraVisionLM-Object-Detection-ft

Türkçe görsel dil işleme sınırlarını birlikte zorlayalım!

3 replies

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reacted to their post with 👍🔥 5 months ago

Post

9473

I've built a space for creating prompts for FLUX

gokaygokay/FLUX-Prompt-Generator

You can create long prompts from images or simple words. Enhance your short prompts with prompt enhancer. You can configure various settings such as artform, photo type, character details, scene details, style, and artist to create tailored prompts.

And you can combine all of them with custom prompts using llms (Mixtral, Mistral, Llama 3, and Mistral-Nemo).

The UI is a bit complex, but it includes almost everything you need. Choosing random option is the most fun!

And i've created some other spaces for using FLUX models with captioners and enhancers.

- gokaygokay/FLUX.1-dev-with-Captioner

4 replies

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posted an update 5 months ago

Post

9473

I've built a space for creating prompts for FLUX

gokaygokay/FLUX-Prompt-Generator

You can create long prompts from images or simple words. Enhance your short prompts with prompt enhancer. You can configure various settings such as artform, photo type, character details, scene details, style, and artist to create tailored prompts.

And you can combine all of them with custom prompts using llms (Mixtral, Mistral, Llama 3, and Mistral-Nemo).

The UI is a bit complex, but it includes almost everything you need. Choosing random option is the most fun!

And i've created some other spaces for using FLUX models with captioners and enhancers.

- gokaygokay/FLUX.1-dev-with-Captioner

4 replies

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reacted to severo's post with 🚀 5 months ago

Post

3483

[New tool] Follow interesting ML persons 👩‍🎨 👨‍🎤 👩‍🏫 with Followgraph

severo/followgraph

Please try it and tell me if it helped you discover high-quality content 👍 👎

I repurposed "Followgraph for Mastodon" (https://followgraph.vercel.app/).

My new follows: @TheBloke @mlabonne @teknium @KnutJaegersberg @SkalskiP @AmelieSchreiber @lbourdois @ceyda @andrewyng @Pclanglais @karpathy

And you?

5 replies

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reacted to merve's post with 🔥 5 months ago

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3336

Chameleon 🦎 by Meta is now available in Hugging Face transformers 😍
A vision language model that comes in 7B and 34B sizes 🤩
But what makes this model so special?

Demo: merve/chameleon-7b
Models: facebook/chameleon-668da9663f80d483b4c61f58

keep reading ⥥

Chameleon is a unique model: it attempts to scale early fusion 🤨
But what is early fusion?
Modern vision language models use a vision encoder with a projection layer to project image embeddings so it can be promptable to text decoder (LLM)

Early fusion on the other hand attempts to fuse all features together (image patches and text) by using an image tokenizer and all tokens are projected into a shared space, which enables seamless generation 😏

Authors have also introduced different architectural improvements (QK norm and revise placement of layer norms) for scalable and stable training and they were able to increase the token count (5x tokens compared to Llama 3 which is a must with early-fusion IMO)

This model is an any-to-any model thanks to early fusion: it can take image and text input and output image and text, but image generation are disabled to prevent malicious use.

One can also do text-only prompting, authors noted the model catches up with larger LLMs (like Mixtral 8x7B or larger Llama-2 70B) and also image-pair prompting with larger VLMs like IDEFICS2-80B (see paper for the benchmarks Chameleon: Mixed-Modal Early-Fusion Foundation Models (2405.09818))
Thanks for reading!

8 replies

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