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AFOliveira
updated a
Space 11 days ago
burtenshaw
updated a
Space about 1 month ago
burtenshaw
published a
Space about 1 month ago
elismasilva
posted an update about 1 month ago
Post
162
I built DOD - Deploy or Draw for the Gradio Build Small Hackathon.
It is a multiplayer UNO-style game where software incidents become card-table chaos.
Demo: build-small-hackathon/dod-uno
Repo: https://github.com/DEVAIEXP/doduno
Field Notes: https://huggingface.co/blog/elismasilva/dod-uno-en
It is a multiplayer UNO-style game where software incidents become card-table chaos.
Demo: build-small-hackathon/dod-uno
Repo: https://github.com/DEVAIEXP/doduno
Field Notes: https://huggingface.co/blog/elismasilva/dod-uno-en
Post
176
One prompt, three answers - which model is from where?
johko/llm-blind-date
I built a little demo where you give three models (Apertus, Llama, Qwen3) the same prompt and in the end you have to guess which is which just based on their answers.
GIve it a try! ;)
johko/llm-blind-date
I built a little demo where you give three models (Apertus, Llama, Qwen3) the same prompt and in the end you have to guess which is which just based on their answers.
GIve it a try! ;)
adirik
authored 2
papers 4 months ago
davidquicast
posted an update 7 months ago
Post
4312
- 3 replies
elismasilva
posted an update 8 months ago
Post
551
Hey everyone,
I've built and deployed Panorama FLUX, a Gradio app for creating ultra-wide panoramic images from three different text prompts using the FLUX.1-schnell model.
It uses a custom "Mixture of Diffusers" pipeline to generate and seamlessly blend each section of the image.
Key Features:
- Multi-Prompt Input: Control the left, center, and right of the scene with unique prompts.
- Seamless Blending: Choose between Cosine and Gaussian blending methods to eliminate seams between tiles.
- Optimized for FLUX.1-schnell: Designed for fast, 4-step generation with embedded guidance.
- Multi-Language Support: On-the-fly translation for prompts written in Korean and Chinese.
- Memory Efficient: Supports both custom (mmgp) and standard diffusers offloading for use on consumer GPUs or in Spaces.
This was a fun project that involved deep-diving into the FLUX architecture to get the tiling, guidance, and positional embeddings right.
Try it out!
🚀 Live Demo on Hugging Face Spaces:
elismasilva/flux-1-panorama
I've built and deployed Panorama FLUX, a Gradio app for creating ultra-wide panoramic images from three different text prompts using the FLUX.1-schnell model.
It uses a custom "Mixture of Diffusers" pipeline to generate and seamlessly blend each section of the image.
Key Features:
- Multi-Prompt Input: Control the left, center, and right of the scene with unique prompts.
- Seamless Blending: Choose between Cosine and Gaussian blending methods to eliminate seams between tiles.
- Optimized for FLUX.1-schnell: Designed for fast, 4-step generation with embedded guidance.
- Multi-Language Support: On-the-fly translation for prompts written in Korean and Chinese.
- Memory Efficient: Supports both custom (mmgp) and standard diffusers offloading for use on consumer GPUs or in Spaces.
This was a fun project that involved deep-diving into the FLUX architecture to get the tiling, guidance, and positional embeddings right.
Try it out!
🚀 Live Demo on Hugging Face Spaces:
elismasilva/flux-1-panorama
elismasilva
posted an update 8 months ago
Post
2609
I'm thrilled to launch SUP Toolbox! An AI tool for image restoration & upscaling using SUPIR, FaithDiff & ControlUnion. Built with Diffusers and Gradio UI featuring 14 custom components I developed.
Space Demo: elismasilva/sup-toolbox-app
App repository: https://github.com/DEVAIEXP/sup-toolbox-app
CLI repository: https://github.com/DEVAIEXP/sup-toolbox
Feedback is welcome!
Space Demo: elismasilva/sup-toolbox-app
App repository: https://github.com/DEVAIEXP/sup-toolbox-app
CLI repository: https://github.com/DEVAIEXP/sup-toolbox
Feedback is welcome!
- 2 replies
ariG23498
authored a
paper 9 months ago
Post
2634
New post is live!
This time we cover some major updates to
🤗
This time we cover some major updates to
transformers.🤗
- 2 replies
davidquicast
posted an update 11 months ago
Post
2901
Just applied for HF Community Grant for “Hugging Research” — a lightweight CodeAgent‑based research assistant built on Hugging Face’s Open Deep Research project for the Hugging Face Hub (models, datasets, Spaces, users, collections, papers). It gathers links via dedicated tools and organizes them for easy review.
As this is for the community, comments and suggestions are appreciated: https://huggingface.co/spaces/daqc/hugging-research/discussions/1#68a94d9bcb035c54bc671119
As this is for the community, comments and suggestions are appreciated: https://huggingface.co/spaces/daqc/hugging-research/discussions/1#68a94d9bcb035c54bc671119
Post
974
I have always advocated for writing techinical stories without using LLMs.
The following one page editorial really drives the point home.
https://www.nature.com/articles/s44222-025-00323-4
The following one page editorial really drives the point home.
https://www.nature.com/articles/s44222-025-00323-4
elismasilva
posted an update about 1 year ago
Post
398
Building settings panels in? I created "PropertySheet", a new gradio component that turns your Python dataclass into a full UI! ⚡️
✅ Sliders, dropdowns, color pickers & more
✅ Collapsible groups
✅ Reset buttons & tooltips
elismasilva/gradio_propertysheet
✅ Sliders, dropdowns, color pickers & more
✅ Collapsible groups
✅ Reset buttons & tooltips
elismasilva/gradio_propertysheet
elismasilva
posted an update about 1 year ago
Post
329
hi guys i created this gradio component based on Xenova's tokenizer playground application. This will help me in an application I'm building, I hope it will be useful for you too.
elismasilva/gradio_tokenizertextbox
gradio_tokenizertextbox - a Hugging Face Space by elismasilva
elismasilva/gradio_tokenizertextbox
gradio_tokenizertextbox - a Hugging Face Space by elismasilva
avaliev
authored a
paper over 1 year ago
elismasilva
posted an update over 1 year ago
Post
3126
MoD ControlNet Tile Upscaler for SDXL: Upscale Your Images with Ease! 🚀
Meet the MoD ControlNet Tile Upscaler for SDXL, a powerful tool that uses advanced technology to upscale your images without losing quality! Our app is designed to process images in tiles without leaving them blurry or with visible lines between the tiles. The result? Upscaled images with preserved details and smooth, natural transitions—all through a user-friendly interface. ✨
What MoD Upscaler Offers:
🔍 Preserved Details: Unlike traditional upscalers, the MoD ControlNet Tile Upscaler enlarges your images while maintaining clarity and adding details that might otherwise be lost. Your photos gain more definition without sacrificing original quality.
🧩 Advanced Tiling Technology: We use a smart combination of techniques to ensure natural and smooth transitions between tiles. This means your upscaled images remain consistent and high-quality, even at higher resolutions. No more visible lines or imperfections!
⚡ Fast and Efficient: You don’t need a super-powered computer! Our app is optimized to run quickly and smoothly, even on simpler machines.
🎨 Easy-to-Use Interface: You don’t have to be an expert to use the MoD ControlNet Tile Upscaler. The interface is simple, intuitive, and designed so anyone can achieve professional-quality results without hassle.
Upscale your images without losing quality and with details preserved. Try the MoD ControlNet Tile Upscaler today! 👍
Demo App: elismasilva/mod-control-tile-upscaler-sdxl
Github Code: https://github.com/DEVAIEXP/mod-control-tile-upscaler-sdxl
We use Gradio amazing interfaces.
We use Hugging Face Diffusers to build this tool and Hugging Face Spaces to run this demo.
Thank you all! 🙏
Meet the MoD ControlNet Tile Upscaler for SDXL, a powerful tool that uses advanced technology to upscale your images without losing quality! Our app is designed to process images in tiles without leaving them blurry or with visible lines between the tiles. The result? Upscaled images with preserved details and smooth, natural transitions—all through a user-friendly interface. ✨
What MoD Upscaler Offers:
🔍 Preserved Details: Unlike traditional upscalers, the MoD ControlNet Tile Upscaler enlarges your images while maintaining clarity and adding details that might otherwise be lost. Your photos gain more definition without sacrificing original quality.
🧩 Advanced Tiling Technology: We use a smart combination of techniques to ensure natural and smooth transitions between tiles. This means your upscaled images remain consistent and high-quality, even at higher resolutions. No more visible lines or imperfections!
⚡ Fast and Efficient: You don’t need a super-powered computer! Our app is optimized to run quickly and smoothly, even on simpler machines.
🎨 Easy-to-Use Interface: You don’t have to be an expert to use the MoD ControlNet Tile Upscaler. The interface is simple, intuitive, and designed so anyone can achieve professional-quality results without hassle.
Upscale your images without losing quality and with details preserved. Try the MoD ControlNet Tile Upscaler today! 👍
Demo App: elismasilva/mod-control-tile-upscaler-sdxl
Github Code: https://github.com/DEVAIEXP/mod-control-tile-upscaler-sdxl
We use Gradio amazing interfaces.
We use Hugging Face Diffusers to build this tool and Hugging Face Spaces to run this demo.
Thank you all! 🙏
elismasilva
posted an update over 1 year ago
Post
3739
Mixture-of-Diffusers pipeline tiling for SDXL
This strives to provide a better tool for image composition by using several diffusion processes in parallel, each configured with a specific prompt and settings, and focused on a particular region of the image. The mixture of diffusion processes is done in a way that harmonizes the generation process, preventing "seam" effects in the generated image. Using several diffusion processes in parallel has also practical advantages when generating very large images, as the GPU memory requirements are similar to that of generating an image of the size of a single tile.
elismasilva/mixture-of-diffusers-sdxl-tiling
This strives to provide a better tool for image composition by using several diffusion processes in parallel, each configured with a specific prompt and settings, and focused on a particular region of the image. The mixture of diffusion processes is done in a way that harmonizes the generation process, preventing "seam" effects in the generated image. Using several diffusion processes in parallel has also practical advantages when generating very large images, as the GPU memory requirements are similar to that of generating an image of the size of a single tile.
elismasilva/mixture-of-diffusers-sdxl-tiling