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prithivMLmodsย 
posted an update about 9 hours ago
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Multimodal-Edge Demo, a node-based inference canvas demo, is now live on Spaces. It features node-based Transformers for fast inference across 10+ edge-device multimodal models on the Hub, all within a single space. The series includes models from Qwen3.5, Qwen3-VL, Gemma 4, and the LFM 2.5 VL model series, with support for reasoning and grounding tasks.

๐Ÿค— Demo: prithivMLmods/Multimodal-Edge-Node
๐Ÿ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Multimodal-Edge-Node
โœ… Multimodal Apps Collections: https://huggingface.co/collections/prithivMLmods/hall-of-multimodal-apps

๐Ÿค— > To learn more, visit the app page or the respective model pages.
Tonicย 
posted an update 3 days ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks,

since everyone liked my previous announcement post ( https://huggingface.co/posts/Tonic/338509028435394 ) so much , i'm back with more high quality proceedural datasets in the Geospacial domain for SFT training !

Check this one out :
NuTonic/sat-bbox-metadata-sft-v1

the goal is to be able to train vision models on multiple images for remote sensing analysis with one shot .

hope you like it ! ๐Ÿš€
  • 2 replies
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Tonicย 
posted an update 8 days ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

I'm sharing huggingface's largest dataset of annotated statelite images today.

check it out here : NuTonic/sat-image-boundingbox-sft-full

I hope you like it , the idea is to be able to use this with small vision models ๐Ÿš€
prithivMLmodsย 
posted an update 9 days ago
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Now, a collection of various compression schemes for Qwen3.6 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. ๐Ÿ‘‡

๐Ÿ”— Qwen3.6-MoE: https://huggingface.co/collections/prithivMLmods/qwen36-35b-a3b-compressions
๐Ÿ”— Qwen3.6-27B Compressions: https://huggingface.co/collections/prithivMLmods/qwen36-27b-compressions

๐Ÿค— > To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 14 days ago
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HY-World-2.0 โ€” A Multi-Modal World Model for Reconstructing, Generating, and Simulating 3D Worlds is now available on Spaces, and it works both as native Gradio components and in Gradio server mode.

> HY-World-2.0-Demo: prithivMLmods/HY-World-2.0-Demo
> HY-World-2.0 [Server Mode]: prithivMLmods/HY-World-2.0-Demo
> Featuring 3D reconstruction and Gaussian splats with the Rerun viewer, along with camera poses, depth maps, and surface normals.
> In Server Mode, Gradio is served via FastAPI, with FastAPI remaining the top-level server.
> Model: tencent/HY-World-2.0
> GitHub: https://github.com/PRITHIVSAKTHIUR/HY-World-2.0-Demo

๐Ÿค—To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 19 days ago
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A new comparator on Spaces showcases Standard FLUX.2 Decoder vs. FLUX.2 Small Decoder. The Small Decoder is ~1.4ร— faster, uses ~1.4ร— less VRAM, and maintains near-identical image quality. It has ~28M parameters with narrower channels [96, 192, 384, 384] vs. [128, 256, 512, 512], and the demo supports sequence generation by running both decoders simultaneously and comparing the results side by side.

๐Ÿค— Comparator: prithivMLmods/Flux.2-4B-Decoder-Comparator
๐Ÿ”— FLUX.2-small-decoder: black-forest-labs/FLUX.2-small-decoder
๐Ÿ”— GitHub: https://github.com/PRITHIVSAKTHIUR/Flux.2-4B-Encoder-Comparator
๐Ÿš Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

๐Ÿค— > App built on the Gradio SDK. To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 20 days ago
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Now, a collection of various compression schemes for Gemma 4 and the abliterated version 1 of dense models is available on the Hub. Check it out via the links below. ๐Ÿ‘‡

๐Ÿ”—Gemma 4 Compression(s)- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions
๐Ÿ”—Gemma 4 Uncensored [MAX] + Compression(s) - [`ฮฒ ]- https://huggingface.co/collections/prithivMLmods/gemma-4-uncensored-max-compressions
๐Ÿ”—Gemma 4 Compression(s) - MoE- https://huggingface.co/collections/prithivMLmods/gemma-4-compressions-moe
๐Ÿ”—Gemma-4 F32 GGUF- https://huggingface.co/collections/prithivMLmods/gemma-4-f32-gguf

๐Ÿค— > To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 23 days ago
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Now the demo for image detection based on SAM3 and Gemma-4 (*Filter) is available on Spaces, using full-fledged Transformers inference with multimodal reasoning for processed images. It also supports video segmentation (mask), video segmentation (annotation), and image click segmentation.

๐Ÿค— Demo Space: prithivMLmods/SAM3-Gemma4-CUDA
๐Ÿฅฝ SAM3: facebook/sam3
๐Ÿ”— gemma-4-E2B-it: google/gemma-4-E2B-it

To learn more, visit the app page or the respective model pages.
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prithivMLmodsย 
posted an update 26 days ago
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The demo for Image Detection (*Filter) based on SAM3 and Qwen-3.5 is now available on Hugging Face Spaces using Transformers inference, with multimodal reasoning for processed images, and it also supports video segmentation (mask), video segmentation (annotation), and image click segmentation.

๐Ÿค— Demo Space: prithivMLmods/SAM3-Plus-Qwen3.5
๐Ÿฅฝ SAM3: facebook/sam3
๐Ÿ”— Qwen-3.5: Qwen/Qwen3.5-2B

To learn more, visit the app page or the respective model pages.
  • 5 replies
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prithivMLmodsย 
posted an update about 1 month ago
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Flux-Klein-KV-Edit-Consistency demo is now available on Spaces. It preserves character identity and delivers high-quality, realistic results after edits. No need for any special prompts, just upload the image, type your prompt, and get the resulting image blazing fast.

๐Ÿ”ฅ Demo Space: prithivMLmods/flux-klein-kv-edit-consistency
๐Ÿค— Model: black-forest-labs/FLUX.2-klein-9b-kv
๐Ÿค— Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
๐Ÿ”— Gradio Server Mode: https://www.gradio.app/main/guides/server-mode

โž” Built with Headless Gradio, an alternative to using gr.Blocks for creating the frontend and triggering events, powered by FastAPI + Gradio. You can now design the frontend however you want, with continued support for APIs, MCP, and ZeroGPU.

โž” Gradio Server Mode is now available from gradio@v6.10.0.

To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update about 1 month ago
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Map-Anything v1 (Universal Feed-Forward Metric 3D Reconstruction) demo is now available on Hugging Face Spaces. Built with Gradio and integrated with Rerun, it performs multi-image and video-based 3D reconstruction, depth, normal map, and interactive measurements.

๐Ÿค— Demo: prithivMLmods/Map-Anything-v1
๐Ÿค— Model: facebook/map-anything-v1
๐Ÿค— Hf-Papers: MapAnything: Universal Feed-Forward Metric 3D Reconstruction (2509.13414)
prithivMLmodsย 
posted an update about 2 months ago
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Introducing QIE-Bbox-Studio! ๐Ÿ”ฅ๐Ÿค—

The QIE-Bbox-Studio demo is now live โ€” more precise and packed with more options. Users can manipulate images with object removal, design addition, and even move objects from one place to another, all in just 4-step fast inference.

๐Ÿค— Demo: prithivMLmods/QIE-Bbox-Studio
๐Ÿ”— GitHub: https://github.com/PRITHIVSAKTHIUR/QIE-Bbox-Studio

๐Ÿš€ Models [LoRA] :

โ— QIE-2511-Object-Mover-Bbox: prithivMLmods/QIE-2511-Object-Mover-Bbox
โ— QIE-2511-Object-Remover-Bbox-v3: prithivMLmods/QIE-2511-Object-Remover-Bbox-v3
โ— QIE-2511-Outfit-Design-Layout: prithivMLmods/QIE-2511-Outfit-Design-Layout
โ— QIE-2509-Object-Remover-Bbox-v3: prithivMLmods/QIE-2509-Object-Remover-Bbox-v3
โ— QIE-2509-Object-Mover-Bbox: prithivMLmods/QIE-2509-Object-Mover-Bbox

๐Ÿš€ Collection:

โ— Qwen Image Edit [Layout Bbox]: https://huggingface.co/collections/prithivMLmods/qwen-image-edit-layout-bbox

To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update about 2 months ago
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QIE-2509-Object-Remover-Bbox-v3 is a more stable version of the Qwen Image Edit visual groundingโ€“based object removal model. The app was previously featured in HF Spaces of the Week and is now updated with the latest Bbox-v3 LoRA adapter.

๐Ÿค— Demo: prithivMLmods/QIE-Object-Remover-Bbox
๐Ÿค— LoRA: prithivMLmods/QIE-2509-Object-Remover-Bbox-v3
๐Ÿค— Collection: https://huggingface.co/collections/prithivMLmods/qwen-image-edit-layout-bbox

To learn more, visit the app page or the respective model pages.
  • 2 replies
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prithivMLmodsย 
posted an update about 2 months ago
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The Qwen3.5 Multimodal Understanding Demo, powered by Qwen3.5-2B, is now available on HF Spaces! It is a lightweight model designed for fast image and video reasoning. Built with Gradio, the demo showcases Image QA, Video QA, object detection, and 2D point tracking, along with real-time token streaming.

๐Ÿค— Demo: prithivMLmods/Qwen-3.5-HF-Demo
โœ… Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
๐Ÿ”— Qwen3.5-2B: Qwen/Qwen3.5-2B

To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update about 2 months ago
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QIE-Object-Remover-Bbox Demo removes objects and artifacts from selected regions using bounding box grounding. Built on Qwen-Image-Edit-2509 with Rapid Diffusers acceleration, it delivers fast 4-step inference via the QIE-2509 adapter. ๐Ÿค—๐Ÿ”ฅ

๐Ÿ”—Demo Space: prithivMLmods/QIE-Object-Remover-Bbox
๐Ÿ”—Qwen-Image-Edit-Rapid-AIO: prithivMLmods/Qwen-Image-Edit-Rapid-AIO-V4
๐Ÿ”—Adapter-(LoRA): prithivMLmods/QIE-2509-Object-Remover-Bbox

๐Ÿ”—Collection: https://huggingface.co/collections/prithivMLmods/qwen-image-edit-layout-bbox

To learn more, visit the app page or the respective model pages.
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prithivMLmodsย 
posted an update 2 months ago
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FireRed-Image-Edit-1.0 (Rapid) Fast Experimental Demo is Out! ๐Ÿš€๐Ÿค—

Demo: prithivMLmods/FireRed-Image-Edit-1.0-Fast

-> Paired the EditPlusPipeline with the Diffusers-compatible transformer weights of Rapid AIO from Qwen-Image-Edit. (experimental)
-> This fusion delivers more accurate instruction following, higher image quality, and consistent visual coherence @ 4-step fast inference.
-> Better maintains text styles with high fidelity, along with high-quality old photo restoration, enhancement, and best-in-class virtual try-on.

Tonicย 
posted an update 2 months ago
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๐Ÿค” Who would win ?

- a fully subsidized ai lab
OR
- 3 random students named
kurakurai
?

demo : Tonic/fr-on-device

if you like it give the demo a little star and send a shoutout to : @MaxLSB @jddqd and @GAD-cell for absolutely obliterating the pareto frontier of the french language understanding .
  • 4 replies
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prithivMLmodsย 
posted an update 2 months ago