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muneebable
updated
a
model
2 months ago
kobiso
authored
a
paper
2 months ago
Post
1132
Hey everyone 🤗!
We (finegrain) have created some custom ComfyUI nodes to use our refiners micro-framework inside comfy! 🎉
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! 🙏
We (finegrain) have created some custom ComfyUI nodes to use our refiners micro-framework inside comfy! 🎉
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! 🙏
Post
4411
Hey everyone 🤗!
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 🚀.
It’s 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 🚀.
It’s 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!
Post
2567
Hey everyone 🤗!
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
Post
2674
Hey everyone 🤗!
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
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- 3 replies
Post
2005
Hi everyone 🤗
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
kobiso
authored
a
paper
6 months ago
Post
1546
Is finding cool models/datasets and uploading them to the hub considered data hoarding ? I can't stop, send help.
1aurent/dinobloom-models-664ba2ab533c5d0c9c4b07e9
1aurent/tia-toolbox-models-654a3c7994d809b4e740105b
1aurent/kaikoai-models-66636c99d8e1e34bc6dcf795
1aurent/medmae-models-6565b4b766a4bce451a32ba7
1aurent/transpath-models-65639c6730a88a2f1d04321d
1aurent/lunit-models-65639b4149f816b7989185b4
1aurent/tcga-brca-ssl-models-65639d42f725fc09726909f1
1aurent/deblurringmim-models-6567446811b2bbd6c2a23071
1aurent/dinobloom-models-664ba2ab533c5d0c9c4b07e9
1aurent/tia-toolbox-models-654a3c7994d809b4e740105b
1aurent/kaikoai-models-66636c99d8e1e34bc6dcf795
1aurent/medmae-models-6565b4b766a4bce451a32ba7
1aurent/transpath-models-65639c6730a88a2f1d04321d
1aurent/lunit-models-65639b4149f816b7989185b4
1aurent/tcga-brca-ssl-models-65639d42f725fc09726909f1
1aurent/deblurringmim-models-6567446811b2bbd6c2a23071
Post
1809
A new paper, "Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning," was just published. The approach improves VLMs' decision-making abilities in goal-directed tasks.
This is accomplished with Chain-of-thought (COT) reasoning, which seriously enhances performance. Removing COT reasoning, however, drops effectiveness, highlighting its crucial role.
Check out the paper here: https://arxiv.org/abs/2405.10292
This is accomplished with Chain-of-thought (COT) reasoning, which seriously enhances performance. Removing COT reasoning, however, drops effectiveness, highlighting its crucial role.
Check out the paper here: https://arxiv.org/abs/2405.10292
ehristoforu
posted
an
update
7 months ago
Post
2872
🤗 SDXL Flash
✨️ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.
🚀 Features of mini model:
It weighs less, consumes less video memory and other resources, and the quality has not dropped much.
👑 Our faster than regular model is better in quality than the coolest modern models such as JuggernautXL X, FluentlyXL v4 and others.
SDXL Flash: sd-community/sdxl-flash
SDXL Flash Mini: sd-community/sdxl-flash-mini
✨️ Introducing the new fast model SDXL Flash (Mini), we learned that all fast XL models work fast, but the quality decreases, and we also made a fast model, but it is not as fast as LCM, Turbo, Lightning and Hyper, but the quality is higher. Below you will see the study with steps and cfg.
🚀 Features of mini model:
It weighs less, consumes less video memory and other resources, and the quality has not dropped much.
👑 Our faster than regular model is better in quality than the coolest modern models such as JuggernautXL X, FluentlyXL v4 and others.
SDXL Flash: sd-community/sdxl-flash
SDXL Flash Mini: sd-community/sdxl-flash-mini
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- 3 replies
Post
1705
Another excellent course has launched on Hugging Face Learn https://huggingface.co/learn
HF Developer Advocate Dylan Ebert has officially launched the ML for 3D Course! 🤗
Check it out @ https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
YT Channel: https://www.youtube.com/@IndividualKex
GitHub: https://github.com/huggingface/ml-for-3d-course
HF Developer Advocate Dylan Ebert has officially launched the ML for 3D Course! 🤗
Check it out @ https://huggingface.co/learn/ml-for-3d-course/unit0/introduction
YT Channel: https://www.youtube.com/@IndividualKex
GitHub: https://github.com/huggingface/ml-for-3d-course
Post
1139
Red Hat and IBM have announced InstructLab, an open-source project for LLM contributions. InstructLab offers a model-agnostic approach for the community to contribute "skills" and or "knowledge" to LLMs via a CLI and tuning backend.
This community-driven approach to GenAI model development is novel to say the least. It will be interesting to see how effective it is in the long run, especially on models beyond the initial Granite and Merlinite familes.
Can check out Git Hub here: https://github.com/instructlab
Read the LAB Paper: https://arxiv.org/abs/2403.01081
View Model Builds: https://huggingface.co/instructlab
This community-driven approach to GenAI model development is novel to say the least. It will be interesting to see how effective it is in the long run, especially on models beyond the initial Granite and Merlinite familes.
Can check out Git Hub here: https://github.com/instructlab
Read the LAB Paper: https://arxiv.org/abs/2403.01081
View Model Builds: https://huggingface.co/instructlab
Post
1167
🤗The first submissions from the Community Hugging Face Computer Vision Course (https://huggingface.co/learn/computer-vision-course/unit0/welcome/welcome) are being posted up on HF Spaces!🤗
OmAlve/Swin-Transformer-Foods101
Rageshhf/medi-classifier
It is amazing that the first group of students has completed the course and in record time!
Will look forward to seeing more submissions from the course soon.
A nice swag item that students get when they complete the course and make their submission is this cool Hugging Face Certificate of Completion. (Its suitable for framing) 🤗
👇
OmAlve/Swin-Transformer-Foods101
Rageshhf/medi-classifier
It is amazing that the first group of students has completed the course and in record time!
Will look forward to seeing more submissions from the course soon.
A nice swag item that students get when they complete the course and make their submission is this cool Hugging Face Certificate of Completion. (Its suitable for framing) 🤗
👇
- 1 reply
Post
2281
The Open Medical-LLM Leaderboard is now up on HF Spaces. 🤗
openlifescienceai/open_medical_llm_leaderboard
It will be interesting to add the results of the just announced Med-Gemini model to the Leaderboard to see how it compares and if its stated 91.1% MedQA benchmark is accurate.
Capabilities of Gemini Models in Medicine (2404.18416)
openlifescienceai/open_medical_llm_leaderboard
It will be interesting to add the results of the just announced Med-Gemini model to the Leaderboard to see how it compares and if its stated 91.1% MedQA benchmark is accurate.
Capabilities of Gemini Models in Medicine (2404.18416)
ehristoforu
posted
an
update
8 months ago
Post
4175
🪽 New FluentlyXL V4!
🤗 Finally the model came out, it turned out great, we worked on contrast, realism and anatomy.
👨💻 Model page: fluently/Fluently-XL-v4
🦾 You can try it here: fluently/Fluently-Playground
🤗 Finally the model came out, it turned out great, we worked on contrast, realism and anatomy.
👨💻 Model page: fluently/Fluently-XL-v4
🦾 You can try it here: fluently/Fluently-Playground
- 2 replies
ShruzData
updated
a
model
8 months ago
wanghaofan
authored
2
papers
8 months ago
wanghaofan
posted
an
update
9 months ago
Post
3381
Greeting!
We are happy to introduce our InstantStyle, which is a framework that employs straightforward yet potent techniques for achieving effective disentanglement of style and content from reference images.
Code: https://github.com/InstantStyle/InstantStyle
Paper: InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation (2404.02733)
Project Page: https://instantstyle.github.io/
We are happy to introduce our InstantStyle, which is a framework that employs straightforward yet potent techniques for achieving effective disentanglement of style and content from reference images.
Code: https://github.com/InstantStyle/InstantStyle
Paper: InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation (2404.02733)
Project Page: https://instantstyle.github.io/