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CVPR Demo Track @ CVPR 2022
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hystsΒ
updated
a
Space
8 days ago
Post
717
Hey everyone π€!
Check out this new Virtual Try Off model (based on SD1.5): 1aurent/TryOffAnyone
This model isn't as accurate as others (e.g. xiaozaa/cat-try-off-flux based on FLUX.1) but it sure is fast!
Check out this new Virtual Try Off model (based on SD1.5): 1aurent/TryOffAnyone
This model isn't as accurate as others (e.g. xiaozaa/cat-try-off-flux based on FLUX.1) but it sure is fast!
Post
5521
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: 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: akhaliq/anychat
- 1 reply
lkeabΒ
authored
a
paper
about 2 months ago
PKUWilliamYangΒ
authored
a
paper
about 2 months ago
Post
6631
QwQ-32B-Preview is now available in anychat
A reasoning model that is competitive with OpenAI o1-mini and o1-preview
try it out: akhaliq/anychat
A reasoning model that is competitive with OpenAI o1-mini and o1-preview
try it out: akhaliq/anychat
- 1 reply
Post
3827
Post
2796
anychat
supports chatgpt, gemini, perplexity, claude, meta llama, grok all in one app
try it out there: akhaliq/anychat
supports chatgpt, gemini, perplexity, claude, meta llama, grok all in one app
try it out there: akhaliq/anychat
IAMJBΒ
updated
2
datasets
3 months ago
Post
1310
Hey everyone π€!
We (finegrain) have created some custom ComfyUI nodes to use our refiners micro-framework inside comfy! π
We only support our new Box Segmenter at the moment, but we're thinking of adding more nodes since there seems to be a demand for it. We leverage the new (beta) Comfy Registry to host our nodes. They are available at: https://registry.comfy.org/publishers/finegrain/nodes/comfyui-refiners. You can install them by running:
Or by unzipping the archive you can download by clicking "Download Latest" into your
We are eager to hear your feedbacks and suggestions for new nodes and how you'll use them! π
We (finegrain) have created some custom ComfyUI nodes to use our refiners micro-framework inside comfy! π
We only support our new Box Segmenter at the moment, but we're thinking of adding more nodes since there seems to be a demand for it. We leverage the new (beta) Comfy Registry to host our nodes. They are available at: https://registry.comfy.org/publishers/finegrain/nodes/comfyui-refiners. You can install them by running:
comfy node registry-install comfyui-refinersOr by unzipping the archive you can download by clicking "Download Latest" into your
custom_nodes comfy folder.We are eager to hear your feedbacks and suggestions for new nodes and how you'll use them! π
Post
4423
Hey everyone π€!
Check out this awesome new model for object segmentation!
finegrain/finegrain-object-cutter.
We (finegrain) have trained this new model in partnership with Nfinite and some of their synthetic data, the resulting model is incredibly accurate π.
Itβs all open source under the MIT license ( finegrain/finegrain-box-segmenter), complete with a test set tailored for e-commerce ( finegrain/finegrain-product-masks-lite). Have fun experimenting with it!
Check out this awesome new model for object segmentation!
finegrain/finegrain-object-cutter.
We (finegrain) have trained this new model in partnership with Nfinite and some of their synthetic data, the resulting model is incredibly accurate π.
Itβs all open source under the MIT license ( finegrain/finegrain-box-segmenter), complete with a test set tailored for e-commerce ( finegrain/finegrain-product-masks-lite). Have fun experimenting with it!
hushellΒ
authored
a
paper
5 months ago
thuanz123Β
authored
a
paper
5 months ago
Post
2574
Hey everyone π€!
Check out this cool new space from Finegrain: finegrain/finegrain-object-eraser
Under the hoods, it's a pipeline of models (currently exposed via an API) that allows you to easily erase any object from your image just by naming it or selecting it! Not only will the object disappear, but so will its effects on the scene, like shadows and reflections. Built on top of Refiners, our micro-framework for simple foundation model adaptation (feel free to star it on GitHub if you like it: https://github.com/finegrain-ai/refiners)
Check out this cool new space from Finegrain: finegrain/finegrain-object-eraser
Under the hoods, it's a pipeline of models (currently exposed via an API) that allows you to easily erase any object from your image just by naming it or selecting it! Not only will the object disappear, but so will its effects on the scene, like shadows and reflections. Built on top of Refiners, our micro-framework for simple foundation model adaptation (feel free to star it on GitHub if you like it: https://github.com/finegrain-ai/refiners)
- 2 replies
YuliangΒ
authored
2
papers
6 months ago
Post
2682
Hey everyone π€!
Check out this cool little reproduction of the Clarity Upscaler (https://github.com/philz1337x/clarity-upscaler) using refiners (https://github.com/finegrain-ai/refiners): https://huggingface.co/spaces/finegrain/enhancer
Check out this cool little reproduction of the Clarity Upscaler (https://github.com/philz1337x/clarity-upscaler) using refiners (https://github.com/finegrain-ai/refiners): https://huggingface.co/spaces/finegrain/enhancer
-
- 3 replies
DavidVivancosΒ
posted
an
update
6 months ago
Post
1723
#ICLM 2024 is almost there π₯π₯π₯ PM if you will be in Vienna next week, Glad to catchup with the Hugging Face community there!
I would like to contribute π by releasing the sixth Knowledge Vault, with 100 lectures visualized from the last 10 years of ICML from 2014 to 2024, (10 from 2024 will be included after the conference) including knowledge graphs for all the Invited Lectures and some extras, with almost 3000 topics represented using AI.
You can explore it here:
π https://theendofknowledge.com/Vaults/6/ICML-2015-2024.html
And you can learn more about the Vaults here:
πhttps://www.linkedin.com/pulse/knowledge-vaults-david-vivancos-lbjef/
And previous Vaults relevant to the #huggingface community are:
π [ @lexfridman 2018-2024 Interviews] https://theendofknowledge.com/Vaults/1/Lex100-2024.html
π [ICLR 2014-2023] https://theendofknowledge.com/Vaults/2/ICLR2014-2023.html
π [AIForGood 2017-2024] https://theendofknowledge.com/Vaults/4/AIForGood2017-2024.html
π [CVPR 2015-2024] https://theendofknowledge.com/Vaults/5/CVPR-2015-2024.html
Hope you like them!
And great to see you all at #icml2024 @clem @thomwolf @julien-c and team
I would like to contribute π by releasing the sixth Knowledge Vault, with 100 lectures visualized from the last 10 years of ICML from 2014 to 2024, (10 from 2024 will be included after the conference) including knowledge graphs for all the Invited Lectures and some extras, with almost 3000 topics represented using AI.
You can explore it here:
π https://theendofknowledge.com/Vaults/6/ICML-2015-2024.html
And you can learn more about the Vaults here:
πhttps://www.linkedin.com/pulse/knowledge-vaults-david-vivancos-lbjef/
And previous Vaults relevant to the #huggingface community are:
π [ @lexfridman 2018-2024 Interviews] https://theendofknowledge.com/Vaults/1/Lex100-2024.html
π [ICLR 2014-2023] https://theendofknowledge.com/Vaults/2/ICLR2014-2023.html
π [AIForGood 2017-2024] https://theendofknowledge.com/Vaults/4/AIForGood2017-2024.html
π [CVPR 2015-2024] https://theendofknowledge.com/Vaults/5/CVPR-2015-2024.html
Hope you like them!
And great to see you all at #icml2024 @clem @thomwolf @julien-c and team
Post
2010
Hi everyone π€
You can easily use the new Model Explorer from Google (https://github.com/google-ai-edge/model-explorer) here: 1aurent/model-explorer
Unfortunately, it doesn't look like it can easily be preloaded with some models, so you'll have to bring your own. Here is a quick selection of models you can use:
- openai-community/gpt2
- qualcomm/ResNet50
- qualcomm/VIT
You can easily use the new Model Explorer from Google (https://github.com/google-ai-edge/model-explorer) here: 1aurent/model-explorer
Unfortunately, it doesn't look like it can easily be preloaded with some models, so you'll have to bring your own. Here is a quick selection of models you can use:
- openai-community/gpt2
- qualcomm/ResNet50
- qualcomm/VIT