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mahwizzzzย 
posted an update 2 days ago
prithivMLmodsย 
posted an update 16 days ago
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5067
Made a demo for Text/Image-to-3D Video and Image-to-3D Video asset generation using TRELLIS.2. It is paired with Z-Image-Turbo to accelerate the input image preprocessing pipeline, streamlining the Image-to-3D workflow. The generated GLB (GL Transmission Format) files are converted into MP4 (MPEG-4) videos, making them easy to preview and share. Try it now on Hugging Face Spaces.๐Ÿค—

โž  Image-to-3D-Video-Asset-Generator: prithivMLmods/Image-to-3D-Video-Asset-Generator
โž  collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
โž  github: https://github.com/PRITHIVSAKTHIUR/Image-to-3D-Video-Asset-Generator

โคท To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 2 months ago
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7932
Wan2.2-I2V-Fast with highly upscaled sequential frame sampling is now available as a Spaces demo, built using Wan2.2-I2V and FLUX.2-Klein. Try the demo using the links below.๐Ÿ‘‡

โž  wan2.2-i2v-fast : prithivMLmods/Wan2.2-Fast
โž  github: https://github.com/prithivsakthiur/wan2.2-i2v-fast
โž  collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

โคท To learn more, visit the app page or the respective model pages.
mahwizzzzย 
posted an update 3 months ago
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386
Released lafzyn , built over Qwen, an Urdu language model that converts Urdu text into IPA phonetic transcription, with GGUF builds for local inference.

Release contents:
- mahwizzzz/lafzyn: full weights
- mahwizzzz/lafzyn-gguf: quantized builds

Try it out ๐Ÿค—
Demo: https://huggingface.co/spaces/mahwizzzz/Lafzyn
prithivMLmodsย 
posted an update 3 months ago
prithivMLmodsย 
posted an update 3 months ago
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6311
PiD โ€” Pixel Diffusion Decoder Image Edit Upscale and Image Generation Upscale, an all-in-one demo, is now live on Spaces! Great improvements in realism-based image generation and editing are powered by FLUX.2-Klein, while image generation is paired with Z-Image, and upscaling is enabled by default!

๐Ÿค— Space: prithivMLmods/PiD-Image-Upscaler
๐Ÿ”— Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection

๐Ÿค— > To learn more, visit the app page or the respective model pages.
prithivMLmodsย 
posted an update 3 months ago
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5631
I've made 8 Spaces in the Qwen-Image-Edit series, and out of them, 5 Spaces reached โ€œSpace of the Weekโ€! A few Spaces are still topping the list even after many months.

Cumulatively, the series has crossed 8.2 million+ ZeroGPU runs and nearly 4 million visitors overall.

Thanks for all the community support! ๐Ÿค—โค๏ธ

๐Ÿ”— Spaces: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
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Ujjwal-Tyagiย 
posted an update 3 months ago
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6 Open-Source Libraries to FineTune LLMs
1. Unsloth
GitHub: https://github.com/unslothai/unsloth
โ†’ Fastest way to fine-tune LLMs locally
โ†’ Optimized for low VRAM (even laptops)
โ†’ Plug-and-play with Hugging Face models

2. Axolotl
GitHub: https://github.com/OpenAccess-AI-Collective/axolotl
โ†’ Flexible LLM fine-tuning configs
โ†’ Supports LoRA, QLoRA, multi-GPU
โ†’ Great for custom training pipelines

3. TRL (Transformer Reinforcement Learning)
GitHub: https://github.com/huggingface/trl
โ†’ RLHF, DPO, PPO for LLM alignment
โ†’ Built on Hugging Face ecosystem
โ†’ Essential for post-training optimization

4. DeepSpeed
GitHub: https://github.com/microsoft/DeepSpeed
โ†’ Train massive models efficiently
โ†’ Memory + speed optimization
โ†’ Industry standard for scaling

5. LLaMA-Factory
GitHub: https://github.com/hiyouga/LLaMA-Factory
โ†’ All-in-one fine-tuning UI + CLI
โ†’ Supports multiple models (LLaMA, Qwen, etc.)
โ†’ Beginner-friendly + powerful

6. PEFT
GitHub: https://github.com/huggingface/peft
โ†’ Fine-tune with minimal compute
โ†’ LoRA, adapters, prefix tuning
โ†’ Best for cost-efficient training
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prithivMLmodsย 
posted an update 4 months ago
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5969
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.
Ujjwal-Tyagiย 
posted an update 4 months ago
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This is the best set of AI and ML books and a full guide to learning machine learning from the ground up. This is my study material that I used, so I thought it would be helpful to share it with others. Like, share, and add it to your collection at Ujjwal-Tyagi/ai-ml-foundations-book-collection.
prithivMLmodsย 
posted an update 4 months 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.
Ujjwal-Tyagiย 
posted an update 4 months ago
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3977
We are hiring at Shirova AI. We need AI researchers and engineers to work in our research lab. Shirova AI is a research lab in India, so we can help our researchers move to nearby workspaces or let them work from home without ever coming to the lab. We're building our founding team, so the pay will be good. You can learn, so don't hesitate to mail us at: careers@shirova.com
prithivMLmodsย 
posted an update 4 months ago
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4246
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 4 months ago
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6268
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: https://huggingface.co/spaces/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 4 months 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 4 months ago
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2379
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.
  • 1 reply
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prithivMLmodsย 
posted an update 4 months 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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Ujjwal-Tyagiย 
posted an update 5 months ago
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I am sharing my study material for AI & ML, these books are really a "bible" and gives very strong foundation, I also have given guidance, introduction and my master notes in the dataset repo card! I hope you will find them helpful, if you have any queries, just start a discussion and I am always there to help you out!
Ujjwal-Tyagi/ai-ml-foundations-book-collection
  • 4 replies
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prithivMLmodsย 
posted an update 5 months ago
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5358
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: https://huggingface.co/spaces/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 5 months 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)