diffusers

128 posts

diffusers

diffusers

@diffuserslib

Yes you're speaking with the 🤗 @huggingface 🧨 diffusers library personally

Katılım Kasım 2022
22 Takip Edilen2.9K Takipçiler
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diffusers
diffusers@diffuserslib·
Me, the🧨diffusers library, am now on Twitter  This is an informal place for us to chat about the latest diffusion models advancements, news regarding the library, give support and celebrate our amazing community 🤩 github.com/huggingface/di…
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apolinario 🌐
apolinario 🌐@multimodalart·
The Logo in Context Spaces demo + 🧨 diffusers implementation is here! 🖼️🏷️ In-Context LoRA + Image-to-Image + Inpainting → allow you to apply your logos to anything huggingface.co/spaces/multimo…
apolinario 🌐 tweet mediaapolinario 🌐 tweet media
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Igor Filippov
Igor Filippov@igorfeelippov·
I landed my first ever open-source PR right into the core of the @huggingface 🤗 @diffuserslib 🧨! I made a new Video2Video Pipeline with ControlNet support. github.com/huggingface/di… Docs: #diffusers.AnimateDiffVideoToVideoControlNetPipeline" target="_blank" rel="nofollow noopener">huggingface.co/docs/diffusers… A big shout-out to @aryanvs_ for his support and guidance.
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DataVoid
DataVoid@DataPlusEngine·
Finetuning scripts for CogVideoX-5B when?
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apolinario 🌐
apolinario 🌐@multimodalart·
CogVideoX just released the weights for its 5B model! 🎥 ✨ It's the best open weights text-to-video model - competitive with Runway / Luma / Pika. With 🧨@diffuserslib, it fits on < 10GB VRAM 🤏 (ah, and they changed the smaller 2B model license to Apache 2.0 🔥)
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Donghoon Ahn @ ICLR
Donghoon Ahn @ ICLR@donghoon_ahn·
Now, PAG is officially supported by Diffusers in the stable version! Try it out🥰 Use cases: huggingface.co/docs/diffusers… Supported pipelines: huggingface.co/docs/diffusers… We would like to extend our gratitude to the amazing team at @huggingface for their incredible work. Special thanks to @RisingSayak for taking charge of PixArt-Sigma, @aryanvs_ for taking HunyuanDiT and refactoring the code brilliantly, @OzzyGT for handling Kolors and conducting numerous experiments, @multimodalart for being an early adopter and advocate, and @YiYiMarz for designing the overall framework for PAG pipelines.
diffusers@diffuserslib

we just dropped an insane new release 🐣 - support to new pipelines: audio 🔊, video 🎬 and image 🖼️ models (FLUX, Stable Audio, CogVideoX, Kolors, AuraFlow and moar!) - native PAG support for image quality boost 💨 - AnimatedDiff 🤝 SparseCtrl github.com/huggingface/di…

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apolinario 🌐
apolinario 🌐@multimodalart·
IPAdapter-Instruct, a new release led by @CiaraRowles1 @unitygames Feed the IPAdapter image and instruct the model what to use from it: style, color, composition, pose, face! SD1.5, XL and 3 support 🔥 ✴️ Weights: huggingface.co/CiaraRowles/IP… ▶️ Demo: huggingface.co/spaces/unity/I… 👩‍💻 Code: github.com/unity-research…
apolinario 🌐 tweet media
AK@_akhaliq

Unity presents IPAdapter-Instruct Resolving Ambiguity in Image-based Conditioning using Instruct Prompts discuss: huggingface.co/papers/2408.03… Diffusion models continuously push the boundary of state-of-the-art image generation, but the process is hard to control with any nuance: practice proves that textual prompts are inadequate for accurately describing image style or fine structural details (such as faces). ControlNet and IPAdapter address this shortcoming by conditioning the generative process on imagery instead, but each individual instance is limited to modeling a single conditional posterior: for practical use-cases, where multiple different posteriors are desired within the same workflow, training and using multiple adapters is cumbersome. We propose IPAdapter-Instruct, which combines natural-image conditioning with ``Instruct'' prompts to swap between interpretations for the same conditioning image: style transfer, object extraction, both, or something else still? IPAdapterInstruct efficiently learns multiple tasks with minimal loss in quality compared to dedicated per-task models.

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diffusers
diffusers@diffuserslib·
we just dropped an insane new release 🐣 - support to new pipelines: audio 🔊, video 🎬 and image 🖼️ models (FLUX, Stable Audio, CogVideoX, Kolors, AuraFlow and moar!) - native PAG support for image quality boost 💨 - AnimatedDiff 🤝 SparseCtrl github.com/huggingface/di…
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diffusers
diffusers@diffuserslib·
Also check our own @risingsayak guide on how to run it on low VRAM! x.com/RisingSayak/st…
Sayak Paul@RisingSayak

You should have already gone bonkers by now with @bfl_ml's FLUX release. What a model, eh! I am getting back to Twitter after some sprinting with my mates @_DhruvNair_, @YiYiMarz, and @multimodalart! Diffusers integration is, of course, there ❤️ We have also put together a little gist guiding you on how to run Flux with limited resources. gist.github.com/sayakpaul/b664…

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apolinario 🌐
apolinario 🌐@multimodalart·
The first open Stable Diffusion 3-like architecture model is JUST out 💣 - but it is not SD3! 🤔 It is HunyuanDiT by Tencent, a 1.5B parameter DiT (diffusion transformer) text-to-image model 🖼️✨ In the paper they claim to be SOTA open source! I'm working on a @huggingface demo as you read this so we can all vibe check Model: huggingface.co/Tencent-Hunyua… GitHub: github.com/Tencent/Hunyua… Paper: tencent.github.io/HunyuanDiT/ass…
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apolinario 🌐
apolinario 🌐@multimodalart·
Demo for the first open SD3-like architecture model, HunyuanDiT @huggingface Spaces demo is out! 🎨 First impressions: - Image quality seems very good! - Chunky and the research code isn't super optimized for inference speed (👋 @diffuserslib 👀) ▶️ huggingface.co/spaces/multimo…
apolinario 🌐@multimodalart

The first open Stable Diffusion 3-like architecture model is JUST out 💣 - but it is not SD3! 🤔 It is HunyuanDiT by Tencent, a 1.5B parameter DiT (diffusion transformer) text-to-image model 🖼️✨ In the paper they claim to be SOTA open source! I'm working on a @huggingface demo as you read this so we can all vibe check Model: huggingface.co/Tencent-Hunyua… GitHub: github.com/Tencent/Hunyua… Paper: tencent.github.io/HunyuanDiT/ass…

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