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Tim Dockhorn
362 posts
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Tim Dockhorn
@timudk
Research @bfl_ai
timudk.github.io
Joined October 2018
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  • user avatar
    Tim Dockhorn
    @timudk
    Nov 21, 2023
    Over the last few months I have spent a lot of time sampling from this model. Some tips: 1) You can generate videos even with small GPUs (just decrease number of frames you decode at a time as this eats most VRAM). 14 frames (decoding one at a time) should be less than 20GB VRAM
    user avatar
    AK
    @_akhaliq
    Nov 21, 2023
    Stability releases Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets model: huggingface.co/stabilityai/st… present Stable Video Diffusion — a latent video diffusion model for high-resolution, state-of-the-art text-to-video and image-to-video generation.
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  • user avatar
    Tim Dockhorn
    @timudk
    Nov 21, 2023
    Stable Video Diffusion: code & chekpoints out! On my way to get some vacation now 🌓🌻
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  • user avatar
    Tim Dockhorn
    @timudk
    Sep 23, 2024
    come and build the best models with us
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    Black Forest Labs
    @bfl_ai
    Sep 23, 2024
    We are actively hiring across several roles, check out our website or job board for detailed job descriptions.
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  • user avatar
    Tim Dockhorn
    @timudk
    Aug 14, 2024
    FLUX.1 šŸ¤ Grok-2
    user avatar
    Igor Babuschkin
    River AI
    @ibab
    Aug 14, 2024
    Huge thank you to the @bfl_ml team, who scaled up their FLUX.1 inference API to support the Grok-2 release today!
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  • user avatar
    Tim Dockhorn
    @timudk
    Oct 12, 2022
    šŸ“¢šŸ“¢ Introducing GENIE: Higher-Order Denoising Diffusion Solvers. nv-tlabs.github.io/GENIE/ GENIE distills higher-order score terms into a small neural network and uses them for accelerated diffusion model sampling. šŸ’Ø Fun project with @karsten_kreis & @ArashVahdat! (1/6)
    user avatar
    AK
    @_akhaliq
    Oct 12, 2022
    GENIE: Higher-Order Denoising Diffusion Solvers abs: buff.ly/3yAaZaq project page: buff.ly/3yAb3aa Higher-Order Denoising Diffusion Solvers: Based on truncated Taylor methods, we derive a novel higher-order solver that significantly accelerates synthesis
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  • user avatar
    Tim Dockhorn
    @timudk
    Aug 1, 2024
    so this happened
    user avatar
    Black Forest Labs
    @bfl_ai
    Aug 1, 2024
    We are excited to announce the launch of Black Forest Labs. Our mission is to develop and advance state-of-the-art generative deep learning models for media and to push the boundaries of creativity, efficiency and diversity.
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  • user avatar
    Tim Dockhorn
    @timudk
    Oct 19, 2022
    šŸ“¢ Excited to announce Differentially Private Diffusion Models! šŸ”’ nv-tlabs.github.io/DPDM We train diffusion models with strict differential privacy guarantees and outperform previous methods by large margins. w/ @tianshi_cao, @ArashVahdat, @karsten_kreis (1/n)
    This post is unavailable.
  • user avatar
    Tim Dockhorn
    @timudk
    Nov 24, 2023
    Replying to @timudk
    Two examples of how lower motion score can give you more object motion (left 255, right 31):
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  • user avatar
    Tim Dockhorn
    @timudk
    Apr 19, 2023
    šŸ“¢šŸ“¢ Glad we can finally share our work on (text-to-)video generation. TL;DR: Take Stable Diffusion, insert additional temporal layers and fine-tune them on video data while keeping the spatial layers fixed. w/ @andi_blatt, @robrombach, @HuanLing6, @FidlerSanja, @karsten_kreis
    user avatar
    AK
    @_akhaliq
    Apr 19, 2023
    Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models turn the publicly available, state-of-the-art text-to-image LDM Stable Diffusion into an efficient and expressive text-to-video model with resolution up to 1280 x 2048 abs: arxiv.org/abs/2304.08818
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  • user avatar
    Tim Dockhorn
    @timudk
    Aug 24, 2023
    After two failed conference attempts, DPDM has been accepted at TMLR (openreview.net/forum?id=ZPpQk…). I am super happy about the discussions around DPDMs and follow-up works despite "only being an arxiv paper" for almost a year.
    user avatar
    Tim Dockhorn
    @timudk
    Oct 19, 2022
    šŸ“¢ Excited to announce Differentially Private Diffusion Models! šŸ”’ nv-tlabs.github.io/DPDM We train diffusion models with strict differential privacy guarantees and outperform previous methods by large margins. w/ @tianshi_cao, @ArashVahdat, @karsten_kreis (1/n)
    15K
  • user avatar
    Tim Dockhorn
    @timudk
    Feb 1, 2022
    Bored of overdamped Langevin dynamics in diffusion models? Why not introduce velocity variables and speed-up the diffusion process with a Hamiltonian component. That's exactly what we did in our #iclr2022 (spotlight) paper (w/ @karsten_kreis,@ArashVahdat): nv-tlabs.github.io/CLD-SGM/
  • user avatar
    Tim Dockhorn
    @timudk
    Jul 22, 2023
    Thank you for the kind words @thegautamkamath, and thank you to all the committee members, in particular Yaoliang for all his support during my PhD and for being an amazing supervisor. I am also very grateful to @driainmurray for his consistent guidance from afar.
    user avatar
    Gautam Kamath
    @thegautamkamath
    Jul 22, 2023
    Congrats to Dr. Tim Dockhorn (@timudk) who defended his PhD thesis yesterday! Tim is a world expert in diffusion models (DMs), and is going on to work at @StabilityAI. His work on privatizing DMs is an incredible leap forward (arxiv.org/abs/2210.09929). timudk.github.io
    Dr. Tim Dockhorn and his thesis committee
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  • user avatar
    Tim Dockhorn
    @timudk
    Dec 15, 2021
    Super excited to finally reveal what I have been working on with @karsten_kreis and @ArashVahdat during my internship at nvidia. I am also very happy to announce that I will stay on this amazing team led by @FidlerSanja as an intern, and push score-based models even further.
    user avatar
    Karsten Kreis
    @karsten_kreis
    Dec 15, 2021
    šŸ“¢ Score-based Generative Modeling with Critically-Damped Langevin Diffusion! nv-tlabs.github.io/CLD-SGM/ We propose a novel diffusion using auxiliary velocity variables for more efficient denoising and higher quality generative models. w/ the amazing @timudk & @ArashVahdat! (1/n)
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  • user avatar
    Tim Dockhorn
    @timudk
    Mar 3, 2022
    šŸ“¢ The code and checkpoints for our Critically-Damped Diffusion paper has been released: github.com/nv-tlabs/CLD-S… We also made some colabs so you can play šŸŽ® with sampling and likelihood computation.
    user avatar
    AK
    @_akhaliq
    Mar 3, 2022
    Replying to @_akhaliq
    github: github.com/nv-tlabs/CLD-S…
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