Visual Personalization Turing Test
Paper
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2601.22680
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Published
•
2
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akhaliq
submitted
2
papers
to Daily Papers
6 days ago
akhaliq
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a
paper
to Daily Papers
17 days ago
akhaliq
submitted
a
paper
to Daily Papers
23 days ago
akhaliq
submitted
a
paper
to Daily Papers
25 days ago
akhaliq
submitted
3
papers
to Daily Papers
about 1 month ago
ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation
Paper
•
2601.03955
•
Published
•
3
FlowBlending: Stage-Aware Multi-Model Sampling for Fast and High-Fidelity Video Generation
Paper
•
2512.24724
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Published
•
7
Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
Paper
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2512.24766
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Published
•
9
akhaliq
submitted
2
papers
to Daily Papers
about 2 months ago
akhaliq
submitted
a
paper
to Daily Papers
2 months ago
multimodalart
posted
an
update
4 months ago
Post
16877
Want to iterate on a Hugging Face Space with an LLM?
Now you can easily convert any HF entire repo (Model, Dataset or Space) to a text file and feed it to a language model!
multimodalart/repo2txt
Now you can easily convert any HF entire repo (Model, Dataset or Space) to a text file and feed it to a language model!
multimodalart/repo2txt
akhaliq
authored
a
paper
4 months ago
multimodalart
posted
an
update
8 months ago
Post
18135
Self-Forcing - a real-time video distilled model from Wan 2.1 by
@adobe
is out, and they open sourced it 🐐
I've built a live real time demo on Spaces 📹💨
multimodalart/self-forcing
I've built a live real time demo on Spaces 📹💨
multimodalart/self-forcing
-
- 6 replies
Post
50843
Google drops Gemini 2.0 Flash Thinking
a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts. The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more
now available in anychat, try it out: https://huggingface.co/spaces/akhaliq/anychat
a new experimental model that unlocks stronger reasoning capabilities and shows its thoughts. The model plans (with thoughts visible), can solve complex problems with Flash speeds, and more
now available in anychat, try it out: https://huggingface.co/spaces/akhaliq/anychat
- 5 replies
Post
49881
QwQ-32B-Preview is now available in anychat
A reasoning model that is competitive with OpenAI o1-mini and o1-preview
try it out: https://huggingface.co/spaces/akhaliq/anychat
A reasoning model that is competitive with OpenAI o1-mini and o1-preview
try it out: https://huggingface.co/spaces/akhaliq/anychat
- 2 replies
Post
5087
New model drop in anychat
allenai/Llama-3.1-Tulu-3-8B is now available
try it here: https://huggingface.co/spaces/akhaliq/anychat
allenai/Llama-3.1-Tulu-3-8B is now available
try it here: https://huggingface.co/spaces/akhaliq/anychat
Post
3841
anychat
supports chatgpt, gemini, perplexity, claude, meta llama, grok all in one app
try it out there: https://huggingface.co/spaces/akhaliq/anychat
supports chatgpt, gemini, perplexity, claude, meta llama, grok all in one app
try it out there: https://huggingface.co/spaces/akhaliq/anychat
multimodalart
posted
an
update
over 1 year ago
Post
35588
New feature 🔥
Image models and LoRAs now have little previews 🤏
If you don't know where to start to find them, I invite you to browse cool LoRAs in the profile of some amazing fine-tuners: @artificialguybr , @alvdansen , @DoctorDiffusion , @e-n-v-y , @KappaNeuro @ostris
Image models and LoRAs now have little previews 🤏
If you don't know where to start to find them, I invite you to browse cool LoRAs in the profile of some amazing fine-tuners: @artificialguybr , @alvdansen , @DoctorDiffusion , @e-n-v-y , @KappaNeuro @ostris
- 3 replies
Post
21214
Phased Consistency Model
Phased Consistency Model (2405.18407)
The consistency model (CM) has recently made significant progress in accelerating the generation of diffusion models. However, its application to high-resolution, text-conditioned image generation in the latent space (a.k.a., LCM) remains unsatisfactory. In this paper, we identify three key flaws in the current design of LCM. We investigate the reasons behind these limitations and propose the Phased Consistency Model (PCM), which generalizes the design space and addresses all identified limitations. Our evaluations demonstrate that PCM significantly outperforms LCM across 1--16 step generation settings. While PCM is specifically designed for multi-step refinement, it achieves even superior or comparable 1-step generation results to previously state-of-the-art specifically designed 1-step methods. Furthermore, we show that PCM's methodology is versatile and applicable to video generation, enabling us to train the state-of-the-art few-step text-to-video generator.
Phased Consistency Model (2405.18407)
The consistency model (CM) has recently made significant progress in accelerating the generation of diffusion models. However, its application to high-resolution, text-conditioned image generation in the latent space (a.k.a., LCM) remains unsatisfactory. In this paper, we identify three key flaws in the current design of LCM. We investigate the reasons behind these limitations and propose the Phased Consistency Model (PCM), which generalizes the design space and addresses all identified limitations. Our evaluations demonstrate that PCM significantly outperforms LCM across 1--16 step generation settings. While PCM is specifically designed for multi-step refinement, it achieves even superior or comparable 1-step generation results to previously state-of-the-art specifically designed 1-step methods. Furthermore, we show that PCM's methodology is versatile and applicable to video generation, enabling us to train the state-of-the-art few-step text-to-video generator.