elismasilva (Eliseu Silva)

posted an update 11 days ago

Post

119

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

posted an update 7 months ago

Post

547

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

replied to their post 7 months ago

Hello, all we have is what is stated in the original documents:
SUPIR: https://arxiv.org/abs/2401.13627
FaithDiff: https://openaccess.thecvf.com/content/CVPR2025/papers/Chen_FaithDiff_Unleashing_Diffusion_Priors_for_Faithful_Image_Super-resolution_CVPR_2025_paper.pdf

posted an update 7 months ago

Post

2608

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!

2 replies

·

posted an update 11 months ago

Post

397

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

posted an update 12 months ago

Post

328

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

reacted to their post with 🚀 over 1 year ago

Post

3125

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! 🙏

posted an update over 1 year ago

Post

3125

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! 🙏

reacted to AdinaY's post with 🔥 over 1 year ago

Post

4111

Exciting releases from the Chinese community this February🔥
👉 https://huggingface.co/collections/zh-ai-community/2025-february-67a35aaa68e97812def5b6ef

MLLM:
✨ Ovis2 by Alibaba
AIDC-AI/ovis2-67ab36c7e497429034874464
✨ Step Audio Chat by StepFun AI
stepfun-ai/step-audio-67b33accf45735bb21131b0b

Audio:
✨ Step Audio TTS by StepFunAI
stepfun-ai/Step-Audio-TTS-3B
✨ InspireMusic by Alibaba

FunAudioLLM
✨ Baichuan Audio by BaichuanAI
baichuan-inc/Baichuan-Audio-Instruct

Video:
✨ Wan2.1 by Alibaba_Wan
Wan-AI/Wan2.1-T2V-14B
✨ Stepvideo-T2V by StepFun AI
stepfun-ai/stepvideo-t2v
✨ SkyReels-V1 by Skywork
Skywork/skyreels-v1-67b34676ff65b4ec02d16307
✨ LLaDA-8B by RenminUniversity
GSAI-ML/LLaDA-8B-Instruct

MoE:
✨ Moonlight-16B by MoonshotAI (Kimi)
moonshotai/Moonlight-16B-A3B-Instruct

Reasoning:
✨ TinyR1-32B by Qihoo360
qihoo360/TinyR1-32B-Preview

Dataset:
✨ Chinese DeepSeek R1-Distill data -110k
Congliu/Chinese-DeepSeek-R1-Distill-data-110k

reacted to their post with 🔥 over 1 year ago

Post

3738

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

reacted to sayakpaul's post with 🔥🚀 over 1 year ago

Post

2334

In the past seven days, the Diffusers team has shipped:

1. Two new video models
2. One new image model
3. Two new quantization backends
4. Three new fine-tuning scripts
5. Multiple fixes and library QoL improvements

Coffee on me if someone can guess 1 - 4 correctly.

1 reply

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posted an update over 1 year ago

Post

3738

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

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