Inference for PROs
โข
50
Victor Mustar PRO
victor
AI & ML interests
Building the UX of this website
Recent Activity
Reacted to
prithivMLmods's
post
with ๐ฅ
about 7 hours ago
Weekend Dribble ๐ฆ๐บ
Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!
๐คDemo on: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
Stranger Zones :
๐๐ผ{ Super Blend } : https://huggingface.co/strangerzonehf/Flux-Super-Blend-LoRA
๐๐ผ{ Product Concept Ad } : https://huggingface.co/prithivMLmods/Flux-Product-Ad-Backdrop
๐๐ผ{ Frosted Mock-ups } : https://huggingface.co/prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
๐๐ผ{ Polaroid Plus } : https://huggingface.co/prithivMLmods/Flux-Polaroid-Plus
๐๐ผ{Sketch Cards} : https://huggingface.co/prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA
๐Stranger Zone: https://huggingface.co/strangerzonehf
๐Flux LoRA Collections: https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
Reacted to
prithivMLmods's
post
with ๐ค
about 7 hours ago
Weekend Dribble ๐ฆ๐บ
Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!
๐คDemo on: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
Stranger Zones :
๐๐ผ{ Super Blend } : https://huggingface.co/strangerzonehf/Flux-Super-Blend-LoRA
๐๐ผ{ Product Concept Ad } : https://huggingface.co/prithivMLmods/Flux-Product-Ad-Backdrop
๐๐ผ{ Frosted Mock-ups } : https://huggingface.co/prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
๐๐ผ{ Polaroid Plus } : https://huggingface.co/prithivMLmods/Flux-Polaroid-Plus
๐๐ผ{Sketch Cards} : https://huggingface.co/prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA
๐Stranger Zone: https://huggingface.co/strangerzonehf
๐Flux LoRA Collections: https://huggingface.co/collections/prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
liked
a model
about 7 hours ago
Shakker-Labs/FLUX.1-dev-LoRA-collections
Articles
Organizations
victor's activity
Reacted to
prithivMLmods's
post with ๐ฅ๐ค
about 7 hours ago
Post
773
Weekend Dribble ๐ฆ๐บ
Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!
๐คDemo on: prithivMLmods/FLUX-LoRA-DLC
Stranger Zones :
๐๐ผ{ Super Blend } : strangerzonehf/Flux-Super-Blend-LoRA
๐๐ผ{ Product Concept Ad } : prithivMLmods/Flux-Product-Ad-Backdrop
๐๐ผ{ Frosted Mock-ups } : prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
๐๐ผ{ Polaroid Plus } : prithivMLmods/Flux-Polaroid-Plus
๐๐ผ{Sketch Cards} : prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA
๐Stranger Zone: https://huggingface.co/strangerzonehf
๐Flux LoRA Collections: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
Adapters for Product Ad Backdrops, Smooth Polaroids, Minimalist Sketch cards, Super Blends!!
๐คDemo on: prithivMLmods/FLUX-LoRA-DLC
Stranger Zones :
๐๐ผ{ Super Blend } : strangerzonehf/Flux-Super-Blend-LoRA
๐๐ผ{ Product Concept Ad } : prithivMLmods/Flux-Product-Ad-Backdrop
๐๐ผ{ Frosted Mock-ups } : prithivMLmods/Flux.1-Dev-Frosted-Container-LoRA
๐๐ผ{ Polaroid Plus } : prithivMLmods/Flux-Polaroid-Plus
๐๐ผ{Sketch Cards} : prithivMLmods/Flux.1-Dev-Sketch-Card-LoRA
๐Stranger Zone: https://huggingface.co/strangerzonehf
๐Flux LoRA Collections: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
Reacted to
hexgrad's
post with ๐
about 14 hours ago
Post
774
hexgrad/Kokoro-TTS just got an upgrade that substantially improves TTS naturalness for short bursts while maintaining parity for longer utterances! ๐ฅ
Read more and listen to before/after audio samples at https://hf.co/blog/hexgrad/kokoro-short-burst-upgrade
(Probably would have made that Article a Post instead, if audio could be embedded into Posts.)
Read more and listen to before/after audio samples at https://hf.co/blog/hexgrad/kokoro-short-burst-upgrade
(Probably would have made that Article a Post instead, if audio could be embedded into Posts.)
- 1 reply
Reacted to
merve's
post with ๐ฅ
1 day ago
Post
1280
What a week! A recap for everything you missed โ๏ธ
merve/nov-22-releases-673fbbcfc1c97c4f411def07
Multimodal โจ
> Mistral AI
released Pixtral 124B, a gigantic open vision language model
> Llava-CoT (formerly known as Llava-o1) was released, a multimodal reproduction of o1 model by PKU
> OpenGVLab released MMPR: a new multimodal reasoning dataset
> Jina has released Jina-CLIP-v2 0.98B multilingual multimodal embeddings
> Apple released new SotA vision encoders AIMv2
LLMs ๐ฆ
> AllenAI dropped a huge release of models, datasets and scripts for Tรผlu, a family of models based on Llama 3.1 aligned with SFT, DPO and a new technique they have developed called RLVR
> Jina has released embeddings-v3: new multilingual embeddings with longer context
> Hugging Face released SmolTalk: synthetic dataset used to align SmolLM2 using supervised fine-tuning
> Microsoft released orca-agentinstruct-1M-v1: a gigantic instruction dataset of 1M synthetic instruction pairs
Image Generation ๐ผ๏ธ
> Black Forest Labs released Flux 1. tools: four new models for different image modifications and two LoRAs to do image conditioning and better steer generations
Lastly Hugging Face released a new library Observers: a lightweight SDK for monitoring interactions with AI APIs and easily store and browse them ๐
$ pip install observers
merve/nov-22-releases-673fbbcfc1c97c4f411def07
Multimodal โจ
> Mistral AI
released Pixtral 124B, a gigantic open vision language model
> Llava-CoT (formerly known as Llava-o1) was released, a multimodal reproduction of o1 model by PKU
> OpenGVLab released MMPR: a new multimodal reasoning dataset
> Jina has released Jina-CLIP-v2 0.98B multilingual multimodal embeddings
> Apple released new SotA vision encoders AIMv2
LLMs ๐ฆ
> AllenAI dropped a huge release of models, datasets and scripts for Tรผlu, a family of models based on Llama 3.1 aligned with SFT, DPO and a new technique they have developed called RLVR
> Jina has released embeddings-v3: new multilingual embeddings with longer context
> Hugging Face released SmolTalk: synthetic dataset used to align SmolLM2 using supervised fine-tuning
> Microsoft released orca-agentinstruct-1M-v1: a gigantic instruction dataset of 1M synthetic instruction pairs
Image Generation ๐ผ๏ธ
> Black Forest Labs released Flux 1. tools: four new models for different image modifications and two LoRAs to do image conditioning and better steer generations
Lastly Hugging Face released a new library Observers: a lightweight SDK for monitoring interactions with AI APIs and easily store and browse them ๐
$ pip install observers
Reacted to
prithivMLmods's
post with ๐ค
2 days ago
Post
1899
๐
Glif App's Remixes feature allows you to slap a logo onto anything, seamlessly integrating the input image (logo) into various contexts. The result is stunning remixes that blend the input logo with generated images (img2img logo mapping) for incredible outcomes.
Check out Any Logo Anywhere remixes on Glif: [Glif Remixes](https://glif.app/glifs/cm3o7dfsd002610z48sz89yih/remixes)
๐The browser extension enables thousands of Glif-based img2img workflows on any image you find online. Experience Glif Remix with WebAI: [Chrome Extension](https://chromewebstore.google.com/detail/glif-remix-the-web-with-a/abfbooehhdjcgmbmcpkcebcmpfnlingo)
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๐คHave fun with the cool stuff !!
@prithivMLmods
Check out Any Logo Anywhere remixes on Glif: [Glif Remixes](https://glif.app/glifs/cm3o7dfsd002610z48sz89yih/remixes)
๐The browser extension enables thousands of Glif-based img2img workflows on any image you find online. Experience Glif Remix with WebAI: [Chrome Extension](https://chromewebstore.google.com/detail/glif-remix-the-web-with-a/abfbooehhdjcgmbmcpkcebcmpfnlingo)
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๐คHave fun with the cool stuff !!
@prithivMLmods
Reacted to
prithivMLmods's
post with ๐ฅ
2 days ago
Post
3178
The (768 x 1024) mix of MidJourney and Flux's LoRA is nearly identical to the actual visual design. It hasnโt undergone much concept art development for now. In the meantime, try out the impressive visual designs on:
๐ฅMidjourney Flux Mix : prithivMLmods/Midjourney-Flux
๐ฅAdapter for FluxMix : strangerzonehf/Flux-Midjourney-Mix-LoRA
๐ฅFlux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
๐ฅMidjourney Flux Mix : prithivMLmods/Midjourney-Flux
๐ฅAdapter for FluxMix : strangerzonehf/Flux-Midjourney-Mix-LoRA
๐ฅFlux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
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- 3 replies
replied to
prithivMLmods's
post
2 days ago
Indeed, super impressive!
Reacted to
prithivMLmods's
post with ๐ค
2 days ago
Post
3178
The (768 x 1024) mix of MidJourney and Flux's LoRA is nearly identical to the actual visual design. It hasnโt undergone much concept art development for now. In the meantime, try out the impressive visual designs on:
๐ฅMidjourney Flux Mix : prithivMLmods/Midjourney-Flux
๐ฅAdapter for FluxMix : strangerzonehf/Flux-Midjourney-Mix-LoRA
๐ฅFlux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
๐ฅMidjourney Flux Mix : prithivMLmods/Midjourney-Flux
๐ฅAdapter for FluxMix : strangerzonehf/Flux-Midjourney-Mix-LoRA
๐ฅFlux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
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@prithivMLmods ๐ค
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- 3 replies
Reacted to
takarajordan's
post with ๐ฅ๐
2 days ago
Post
792
First post here goes!
takarajordan/CineDiffusion
Super excited to announce CineDiffusion๐ฅ, it creates images up to 4.2 Megapixels in Cinematic ultrawide formats like:
- 2.39:1 (Modern Widescreen)
- 2.76:1 (Ultra Panavision 70)
- 3.00:1 (Experimental Ultra-wide)
- 4.00:1 (Polyvision)
- 2.55:1 (CinemaScope)
- 2.20:1 (Todd-AO)
More to come soon!!
Thanks to @John6666 and @Resoldjew for your early support <3
And thanks to the team at ShuttleAI for their brand new Shuttle-3 model, what an amazing job.
shuttleai/shuttle-3-diffusion
takarajordan/CineDiffusion
Super excited to announce CineDiffusion๐ฅ, it creates images up to 4.2 Megapixels in Cinematic ultrawide formats like:
- 2.39:1 (Modern Widescreen)
- 2.76:1 (Ultra Panavision 70)
- 3.00:1 (Experimental Ultra-wide)
- 4.00:1 (Polyvision)
- 2.55:1 (CinemaScope)
- 2.20:1 (Todd-AO)
More to come soon!!
Thanks to @John6666 and @Resoldjew for your early support <3
And thanks to the team at ShuttleAI for their brand new Shuttle-3 model, what an amazing job.
shuttleai/shuttle-3-diffusion
posted
an
update
2 days ago
Post
1546
Qwen2.5-72B is now the default HuggingChat model.
This model is so good that you must try it! I often get better results on rephrasing with it than Sonnet or GPT-4!!
This model is so good that you must try it! I often get better results on rephrasing with it than Sonnet or GPT-4!!
Reacted to
davidberenstein1957's
post with ๐ฅ
3 days ago
Post
903
๐ค๐ญ Introducing Observers: A Lightweight SDK for AI Observability ๐ญ๐ค
Observers is an open-source Python SDK that provides comprehensive observability for AI applications. Our library makes it easy to:
- Track and record interactions with AI models
- Store observations in multiple backends
- Query and analyse your AI interactions with ease
https://huggingface.co/blog/davidberenstein1957/observers-a-lightweight-sdk-for-ai-observability
Observers is an open-source Python SDK that provides comprehensive observability for AI applications. Our library makes it easy to:
- Track and record interactions with AI models
- Store observations in multiple backends
- Query and analyse your AI interactions with ease
https://huggingface.co/blog/davidberenstein1957/observers-a-lightweight-sdk-for-ai-observability
replied to
elliesleightholm's
post
3 days ago
Great content! Marqo looks great ๐ค
Reacted to
elliesleightholm's
post with ๐ค
3 days ago
Post
2547
I made a beginners guide to Hugging Face Spaces ๐ค I hope it's useful to some of you :)
YouTube video: https://www.youtube.com/watch?v=xqdTFyRdtjQ
Blog: https://www.marqo.ai/blog/how-to-create-a-hugging-face-space
YouTube video: https://www.youtube.com/watch?v=xqdTFyRdtjQ
Blog: https://www.marqo.ai/blog/how-to-create-a-hugging-face-space
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- 8 replies
Reacted to
cfahlgren1's
post with โค๏ธ
3 days ago
Post
2836
You can clean and format datasets entirely in the browser with a few lines of SQL.
In this post, I replicate the process @mlabonne used to clean the new microsoft/orca-agentinstruct-1M-v1 dataset.
The cleaning process consists of:
- Joining the separate splits together / add split column
- Converting string messages into list of structs
- Removing empty system prompts
https://huggingface.co/blog/cfahlgren1/the-beginners-guide-to-cleaning-a-dataset
Here's his new cleaned dataset: mlabonne/orca-agentinstruct-1M-v1-cleaned
In this post, I replicate the process @mlabonne used to clean the new microsoft/orca-agentinstruct-1M-v1 dataset.
The cleaning process consists of:
- Joining the separate splits together / add split column
- Converting string messages into list of structs
- Removing empty system prompts
https://huggingface.co/blog/cfahlgren1/the-beginners-guide-to-cleaning-a-dataset
Here's his new cleaned dataset: mlabonne/orca-agentinstruct-1M-v1-cleaned
- 1 reply
Reacted to
jsulz's
post with ๐ฅ
3 days ago
Post
2782
When the XetHub crew joined Hugging Face this fall,
@erinys
and I started brainstorming how to share our work to replace Git LFS on the Hub. Uploading and downloading large models and datasets takes precious time. Thatโs where our chunk-based approach comes in.
Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means:
โฉ Only upload the chunks that changed.
๐ Download just the updates, not the whole file.
๐ง We store your file as deduplicated chunks
In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isnโt just a performance boost. Itโs a rethinking of how we manage models and datasets on the Hub.
We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows?
https://huggingface.co/blog/from-files-to-chunks
Instead of versioning files (like Git and Git LFS), we version variable-sized chunks of data. For the Hugging Face community, this means:
โฉ Only upload the chunks that changed.
๐ Download just the updates, not the whole file.
๐ง We store your file as deduplicated chunks
In our benchmarks, we found that using CDC to store iterative model and dataset version led to transfer speedups of ~2x, but this isnโt just a performance boost. Itโs a rethinking of how we manage models and datasets on the Hub.
We're planning on our new storage backend to the Hub in early 2025 - check out our blog to dive deeper, and let us know: how could this improve your workflows?
https://huggingface.co/blog/from-files-to-chunks
replied to
LukeNeumann's
post
3 days ago
Not me but yes I think the community would do something with it.
Reacted to
monsoon-nlp's
post with โค๏ธ
3 days ago
Post
1336
Great to see Tatta Bio release an embeddings version of their DNA/protein language model ๐งฌ:
tattabio/gLM2_650M_embed
Reacted to
AkimfromParis's
post with ๐
3 days ago
Post
1349
๐ฏ๐ต The Open Japanese LLM Leaderboard created by LLM-jp ๐ธ in partnership with HuggingFace ๐ค was released today!
Blog: https://huggingface.co/blog/leaderboard-japanese
Space: llm-jp/open-japanese-llm-leaderboard
๐ The leaderboard is available in both Japanese and English
๐ Based on the evaluation tool, llm-jp-eval with more than 20 datasets for Japanese LLMs
๐ The leaderboard showcases all the metrics for NLP experts, plus averages for NLP beginners
๐ป For the comfort of users, we chose a horizontal UI, and implemented it in a light and dark theme on Gradio
๐ฌ The radar chart provides a very interesting visualization of metrics!
๐ฑ We are using the Japanese research platform, MDX, so please be patient!
โก LLMs bigger than +70B will be evaluated soonโฆ
How do you say โGPUs Go Brrrโ in Japanese - > GPUใใใณใใณ๏ฝ! (To pronounce "GPU ga bunbun!") ๐ฅ
Blog: https://huggingface.co/blog/leaderboard-japanese
Space: llm-jp/open-japanese-llm-leaderboard
๐ The leaderboard is available in both Japanese and English
๐ Based on the evaluation tool, llm-jp-eval with more than 20 datasets for Japanese LLMs
๐ The leaderboard showcases all the metrics for NLP experts, plus averages for NLP beginners
๐ป For the comfort of users, we chose a horizontal UI, and implemented it in a light and dark theme on Gradio
๐ฌ The radar chart provides a very interesting visualization of metrics!
๐ฑ We are using the Japanese research platform, MDX, so please be patient!
โก LLMs bigger than +70B will be evaluated soonโฆ
How do you say โGPUs Go Brrrโ in Japanese - > GPUใใใณใใณ๏ฝ! (To pronounce "GPU ga bunbun!") ๐ฅ
- 4 replies
replied to
LukeNeumann's
post
4 days ago
You're a legend! and yes the dataset would be ๐ฅ