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Literally Me FRFR Research Society
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Being Ryan Gosling, being Patrick Bateman, watching Blade Runner 2049 (2017) on repeat, rewatching American Psycho (2000), watching Barbie (2023). Get Kenergetic!
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Jemniteย
updated
3
models
3 days ago
prithivMLmodsย
posted
an
update
8 days ago
Post
2112
Got access to Google's all-new Gemini Diffusion a state-of-the-art text diffusion model. It delivers the performance of Gemini 2.0 Flash-Lite at 5x the speed, generating over 1000 tokens in a fraction of a second and producing impressive results. Below are some initial outputs generated using the model. โ๐ฅ
Gemini Diffusion Playground โฆ : https://deepmind.google.com/frontiers/gemini-diffusion
Get Access Here : https://docs.google.com/forms/d/1aLm6J13tAkq4v4qwGR3z35W2qWy7mHiiA0wGEpecooo/viewform?edit_requested=true
๐ To know more, visit: https://deepmind.google/models/gemini-diffusion/
Gemini Diffusion Playground โฆ : https://deepmind.google.com/frontiers/gemini-diffusion
Get Access Here : https://docs.google.com/forms/d/1aLm6J13tAkq4v4qwGR3z35W2qWy7mHiiA0wGEpecooo/viewform?edit_requested=true
๐ To know more, visit: https://deepmind.google/models/gemini-diffusion/
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- 1 reply
prithivMLmodsย
posted
an
update
9 days ago
Post
2195
The more optimized explicit content filters with lightweight ๐๐ช๐๐ง๐ models trained based on siglip2 patch16 512 and vit patch16 224 for illustration and explicit content classification for content moderation in social media, forums, and parental controls for safer browsing environments. this version fixes the issues in the previous release, which lacked sufficient resources. ๐
โคท Models :
โ siglip2 mini explicit content : prithivMLmods/siglip2-mini-explicit-content [recommended]
โ vit mini explicit content : prithivMLmods/vit-mini-explicit-content
โคท Building image safety-guard models :
strangerguardhf
โคท Datasets :
โ nsfw multidomain classification : strangerguardhf/NSFW-MultiDomain-Classification
โ nsfw multidomain classification v2.0 : strangerguardhf/NSFW-MultiDomain-Classification-v2.0
โคท Collection :
โ Updated Versions [05192025] : prithivMLmods/explicit-content-filters-682aaa4733e378561925ca2b
โ Previous Versions : prithivMLmods/siglip2-content-filters-042025-final-680fe4aa1a9d589bf2c915ff
Find a collections inside the collection.๐
To know more about it, visit the model card of the respective model.
โคท Models :
โ siglip2 mini explicit content : prithivMLmods/siglip2-mini-explicit-content [recommended]
โ vit mini explicit content : prithivMLmods/vit-mini-explicit-content
โคท Building image safety-guard models :
strangerguardhf
โคท Datasets :
โ nsfw multidomain classification : strangerguardhf/NSFW-MultiDomain-Classification
โ nsfw multidomain classification v2.0 : strangerguardhf/NSFW-MultiDomain-Classification-v2.0
โคท Collection :
โ Updated Versions [05192025] : prithivMLmods/explicit-content-filters-682aaa4733e378561925ca2b
โ Previous Versions : prithivMLmods/siglip2-content-filters-042025-final-680fe4aa1a9d589bf2c915ff
Find a collections inside the collection.๐
To know more about it, visit the model card of the respective model.
- 1 reply
prithivMLmodsย
posted
an
update
13 days ago
Post
2650
Models for detecting images generated by diffusion models (Flux.1, SDXL, ..) are trained or fine-tuned using image classification models for content moderation. These models use datasets available on the Hub. For identifying AI-generated images or moderating visual content, the recommended model is OpenSDI-Flux.1-SigLIP2.๐บ๐งจ
Models : prithivMLmods/OpenSDI-Flux.1-SigLIP2 [Best approach for AI [Diffusion Generated] vs. real image classification] prithivMLmods/OpenSDI-SD2.1-SigLIP2 prithivMLmods/OpenSDI-SD3-SigLIP2 prithivMLmods/OpenSDI-SD1.5-SigLIP2 prithivMLmods/OpenSDI-SDXL-SigLIP2
Datasets : nebula/OpenSDI_test madebyollin/megalith-10m
Collection : prithivMLmods/opensdi-diffusion-generated-image-classification-682488a3a3e5be7083db3383
Find a collections inside the collection.๐
To know more about it, visit the model card of the respective model.
Models : prithivMLmods/OpenSDI-Flux.1-SigLIP2 [Best approach for AI [Diffusion Generated] vs. real image classification] prithivMLmods/OpenSDI-SD2.1-SigLIP2 prithivMLmods/OpenSDI-SD3-SigLIP2 prithivMLmods/OpenSDI-SD1.5-SigLIP2 prithivMLmods/OpenSDI-SDXL-SigLIP2
Datasets : nebula/OpenSDI_test madebyollin/megalith-10m
Collection : prithivMLmods/opensdi-diffusion-generated-image-classification-682488a3a3e5be7083db3383
Find a collections inside the collection.๐
To know more about it, visit the model card of the respective model.
prithivMLmodsย
posted
an
update
14 days ago
Post
1994
Dropping some image classification models for content moderation and classifiers trained with datasets available on the Hub. All are fine-tuned on the
๐คModels :
AI or Not : prithivMLmods/AIorNot-SigLIP2
Driver Drowsiness Detection : prithivMLmods/DOZE-GUARD-RLDD
Subset 10 ImageNet : prithivMLmods/IMAGENETTE
๐ฅDatasets :
+ competitions/aiornot
+ akahana/Driver-Drowsiness-Dataset
+ frgfm/imagenette
๐Collection :
[The previous collection of models is also listed in the same collection, so you can find more models focused on image classification tasks.]
- prithivMLmods/multiclass-image-classification-05142025-68234c8010a9350a4d6739b5
Find a collections inside the collection.๐คช๐
To know more about it, visit the model card of the respective model.
siglip2 backbone, (competitions AIOrNot, Imagenette, and Driver-Drowsiness). Models and datasets are listed below:๐คModels :
AI or Not : prithivMLmods/AIorNot-SigLIP2
Driver Drowsiness Detection : prithivMLmods/DOZE-GUARD-RLDD
Subset 10 ImageNet : prithivMLmods/IMAGENETTE
๐ฅDatasets :
+ competitions/aiornot
+ akahana/Driver-Drowsiness-Dataset
+ frgfm/imagenette
๐Collection :
[The previous collection of models is also listed in the same collection, so you can find more models focused on image classification tasks.]
- prithivMLmods/multiclass-image-classification-05142025-68234c8010a9350a4d6739b5
Find a collections inside the collection.๐คช๐
To know more about it, visit the model card of the respective model.
prithivMLmodsย
posted
an
update
18 days ago
Post
3504
Dropping some image classification models for content moderation, balancers, and classifiers trained on synthetic datasetsโalong with others based on datasets available on the Hub. Also loaded a few low-rank datasets for realistic gender portrait classification and document-type classifiers, all fine-tuned on the SigLIP-2 Patch-16 224 backbone. Models and datasets are listed below:
๐คModels & Datasets :
Realistic Gender Classification : prithivMLmods/Realistic-Gender-Classification
โ prithivMLmods/Realistic-Portrait-Gender-1024px
Document Type Detection : prithivMLmods/Document-Type-Detection
โ prithivMLmods/Document-Type-Detection
Face Mask Detection : prithivMLmods/Face-Mask-Detection
โ DamarJati/Face-Mask-Detection
Alzheimer Stage Classifier : prithivMLmods/Alzheimer-Stage-Classifier
โ SilpaCS/Augmented_alzheimer
Bone Fracture Detection : prithivMLmods/Bone-Fracture-Detection
โ Hemg/bone-fracture-detection
GiD Land Cover Classification : prithivMLmods/GiD-Land-Cover-Classification
โ jonathan-roberts1/GID
๐คCollection : prithivMLmods/siglip2-05102025-681c2b0e406f0740a993fc1c
To know more about it, visit the model card of the respective model.
๐คModels & Datasets :
Realistic Gender Classification : prithivMLmods/Realistic-Gender-Classification
โ prithivMLmods/Realistic-Portrait-Gender-1024px
Document Type Detection : prithivMLmods/Document-Type-Detection
โ prithivMLmods/Document-Type-Detection
Face Mask Detection : prithivMLmods/Face-Mask-Detection
โ DamarJati/Face-Mask-Detection
Alzheimer Stage Classifier : prithivMLmods/Alzheimer-Stage-Classifier
โ SilpaCS/Augmented_alzheimer
Bone Fracture Detection : prithivMLmods/Bone-Fracture-Detection
โ Hemg/bone-fracture-detection
GiD Land Cover Classification : prithivMLmods/GiD-Land-Cover-Classification
โ jonathan-roberts1/GID
๐คCollection : prithivMLmods/siglip2-05102025-681c2b0e406f0740a993fc1c
To know more about it, visit the model card of the respective model.
prithivMLmodsย
posted
an
update
22 days ago
Post
3248
Well, hereโs the updated version with the 20,000+ entry sampled dataset for Watermark Filter Content Moderation models incl. [Food25, Weather, Watermark, Marathi/Hindi Sign Language Detection], post-trained from the base models: sigLip2 patch16 224 โ now with mixed aspect ratios for better performance and reduced misclassification. ๐ฅ
Models :
โฎ Watermark-Detection : prithivMLmods/Watermark-Detection-SigLIP2
โจ๏ธ Watermark Detection & Batch Image Processing Experimentals, Colab Notebook : https://colab.research.google.com/drive/1mlQrSsSjkGimUt0VyRi3SoWMv8OMyvw3?usp=drive_link
โฎ Weather-Image-Classification : prithivMLmods/Weather-Image-Classification
โฎ TurkishFoods-25 : prithivMLmods/TurkishFoods-25
โฎ Marathi-Sign-Language-Detection : prithivMLmods/Marathi-Sign-Language-Detection
โฎ Hindi-Sign-Language-Detection : prithivMLmods/Hindi-Sign-Language-Detection
Datasets :
Watermark : qwertyforce/scenery_watermarks
Weather : prithivMLmods/WeatherNet-05-18039
Turkish Foods 25 : yunusserhat/TurkishFoods-25
Marathi Sign Language : VinayHajare/Marathi-Sign-Language
Hindi Sign Language : Vedant3907/Hindi-Sign-Language-Dataset
Collection : prithivMLmods/content-filters-siglip2-vit-68197e3357d4de18fb3b4d2b
Models :
โฎ Watermark-Detection : prithivMLmods/Watermark-Detection-SigLIP2
โจ๏ธ Watermark Detection & Batch Image Processing Experimentals, Colab Notebook : https://colab.research.google.com/drive/1mlQrSsSjkGimUt0VyRi3SoWMv8OMyvw3?usp=drive_link
โฎ Weather-Image-Classification : prithivMLmods/Weather-Image-Classification
โฎ TurkishFoods-25 : prithivMLmods/TurkishFoods-25
โฎ Marathi-Sign-Language-Detection : prithivMLmods/Marathi-Sign-Language-Detection
โฎ Hindi-Sign-Language-Detection : prithivMLmods/Hindi-Sign-Language-Detection
Datasets :
Watermark : qwertyforce/scenery_watermarks
Weather : prithivMLmods/WeatherNet-05-18039
Turkish Foods 25 : yunusserhat/TurkishFoods-25
Marathi Sign Language : VinayHajare/Marathi-Sign-Language
Hindi Sign Language : Vedant3907/Hindi-Sign-Language-Dataset
Collection : prithivMLmods/content-filters-siglip2-vit-68197e3357d4de18fb3b4d2b
prithivMLmodsย
posted
an
update
25 days ago
Post
1161
The new versions of Midjourney Mix adapters have been dropped in stranger zone hf. These adapters excel in studio lighting portraits and painterly styles, trained using the style of
strangerzonehf/Flux-Midjourney-Mix2-LoRA. They leverage 24-bit colored synthetic images generated form midjourney v6 to achieve high-quality image reproducibility and support adaptable aspect ratios, using Flux.1 as the base model. ๐ฅณ
Models [ โ ]
> Flux-Midjourney-Painterly-LoRA : strangerzonehf/Flux-Midjourney-Painterly-LoRA
> Flux-Midjourney-Studio-LoRA : strangerzonehf/Flux-Midjourney-Studio-LoRA
> Collection : strangerzonehf/midjourney-mix-3-ft-flux1-dev-68165d58a2a08025852d63f3
> Space : prithivMLmods/FLUX-LoRA-DLC2
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
Models [ โ ]
> Flux-Midjourney-Painterly-LoRA : strangerzonehf/Flux-Midjourney-Painterly-LoRA
> Flux-Midjourney-Studio-LoRA : strangerzonehf/Flux-Midjourney-Studio-LoRA
> Collection : strangerzonehf/midjourney-mix-3-ft-flux1-dev-68165d58a2a08025852d63f3
> Space : prithivMLmods/FLUX-LoRA-DLC2
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
prithivMLmodsย
posted
an
update
29 days ago
Post
1931
Dropping downstream tasks using newly initialized parameters and weights supports domain-specific image classification post-training, based on the SigLIP-2 models: Patch-16/224, Patch-16/256, and Patch-32/256. For more details, please refer to the respective model cards : ๐ค
+ watermark detection : prithivMLmods/Watermark-Detection-SigLIP2
+ resisc45 : prithivMLmods/RESISC45-SigLIP2
+ pacs dg : prithivMLmods/PACS-DG-SigLIP2
+ 3d printed or not : prithivMLmods/3D-Printed-Or-Not-SigLIP2
+ formula or text : prithivMLmods/Formula-Text-Detection
- explicit content patch16 256 : prithivMLmods/siglip2-x256-explicit-content
- explicit content patch32 256 : prithivMLmods/siglip2-x256p32-explicit-content
> SigLIP2 Content Filters 042025 Final : https://huggingface.co/collections/prithivMLmods/siglip2-content-filters-04202-final-680fe4aa1a9d589bf2c915ff
> SigLIP2 : google/siglip2-67b5dcef38c175486e240107
> SigLIP2 Multilingual Vision-Language Encoders : https://arxiv.org/pdf/2502.14786
+ watermark detection : prithivMLmods/Watermark-Detection-SigLIP2
+ resisc45 : prithivMLmods/RESISC45-SigLIP2
+ pacs dg : prithivMLmods/PACS-DG-SigLIP2
+ 3d printed or not : prithivMLmods/3D-Printed-Or-Not-SigLIP2
+ formula or text : prithivMLmods/Formula-Text-Detection
Categorizing Un-Safe Content :- explicit content patch16 256 : prithivMLmods/siglip2-x256-explicit-content
- explicit content patch32 256 : prithivMLmods/siglip2-x256p32-explicit-content
Collection :> SigLIP2 Content Filters 042025 Final : https://huggingface.co/collections/prithivMLmods/siglip2-content-filters-04202-final-680fe4aa1a9d589bf2c915ff
> SigLIP2 : google/siglip2-67b5dcef38c175486e240107
> SigLIP2 Multilingual Vision-Language Encoders : https://arxiv.org/pdf/2502.14786
prithivMLmodsย
posted
an
update
about 1 month ago
Post
2298
Bringing out style-intermixing adapters for Flux.Dev, including Aura Glow, Fallen Ink Art, Cardboard Paper Arts, Black & White Expressions, and Glitter Gem Touch. For more details, visit the model card of the LoRA. ๐ฅณ
โฐโโคDemo : prithivMLmods/FLUX-LoRA-DLC2 & prithivMLmods/FLUX-LoRA-DLC
โฐโโค Adapters :
+ Aura Glow : strangerzonehf/2DAura-Flux
+ Fallen Ink Art : strangerzonehf/FallenArt-Flux
+ Black & White Expressions : strangerzonehf/BnW-Expressions-Flux
+ Glitter Gem Touch : strangerzonehf/Gem-Touch-LoRA-Flux
+ Cardboard Paper Arts v1 : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Cardboard Paper Arts v2 : strangerzonehf/Cardboard-v2-Flux
โฐโโค Pages :
- Repository Page :
strangerzonehf
- Collection : strangerzonehf/mixer-adp-042025-68095c365d9d1072c8d860be
- Flux Ultimate LoRA Collection : strangerzonehf/Flux-Ultimate-LoRA-Collection
- By prithivMLmods : @prithivMLmods
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
โฐโโคDemo : prithivMLmods/FLUX-LoRA-DLC2 & prithivMLmods/FLUX-LoRA-DLC
โฐโโค Adapters :
+ Aura Glow : strangerzonehf/2DAura-Flux
+ Fallen Ink Art : strangerzonehf/FallenArt-Flux
+ Black & White Expressions : strangerzonehf/BnW-Expressions-Flux
+ Glitter Gem Touch : strangerzonehf/Gem-Touch-LoRA-Flux
+ Cardboard Paper Arts v1 : strangerzonehf/Flux-Cardboard-Art-LoRA
+ Cardboard Paper Arts v2 : strangerzonehf/Cardboard-v2-Flux
โฐโโค Pages :
- Repository Page :
strangerzonehf
- Collection : strangerzonehf/mixer-adp-042025-68095c365d9d1072c8d860be
- Flux Ultimate LoRA Collection : strangerzonehf/Flux-Ultimate-LoRA-Collection
- By prithivMLmods : @prithivMLmods
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
prithivMLmodsย
posted
an
update
about 1 month ago
Post
1283
Dropping the domain-specific downstream image classification content moderation models, including the anime image type classification, GeoSceneNet, indoor-outdoor scene classification, and black-and-white vs. colored image classification models, along with the datasets. ๐ฅ
โฐโโคModels :
+ GeoSceneNet : prithivMLmods/Multilabel-GeoSceneNet
+ IndoorOutdoorNet : prithivMLmods/IndoorOutdoorNet
+ B&W vs Colored : prithivMLmods/BnW-vs-Colored-Detection
+ Anime Image Type : prithivMLmods/Anime-Classification-v1.0
+ Multilabel Portrait : prithivMLmods/Multilabel-Portrait-SigLIP2
โฐโโคDatasets :
- GeoSceneNet : prithivMLmods/Multilabel-GeoSceneNet-16K
- IndoorOutdoorNet : prithivMLmods/IndoorOutdoorNet-20K
- BnW vs Colored : prithivMLmods/BnW-vs-Colored-10K
- Multilabel Portrait : prithivMLmods/Multilabel-Portrait-18K
โฐโโคCollections :
> Multilabel Image Classification Datasets : prithivMLmods/multilabel-image-classification-datasets-6809aa64637f45d4c47fa6ca
> Model Collection : prithivMLmods/siglip2-content-filters-models-v2-68053a958c42ef17a3a3f4d1
For raw ZIP files or more information about the datasets, visit: https://www.kaggle.com/prithivsakthiur/datasets
โฐโโคModels :
+ GeoSceneNet : prithivMLmods/Multilabel-GeoSceneNet
+ IndoorOutdoorNet : prithivMLmods/IndoorOutdoorNet
+ B&W vs Colored : prithivMLmods/BnW-vs-Colored-Detection
+ Anime Image Type : prithivMLmods/Anime-Classification-v1.0
+ Multilabel Portrait : prithivMLmods/Multilabel-Portrait-SigLIP2
โฐโโคDatasets :
- GeoSceneNet : prithivMLmods/Multilabel-GeoSceneNet-16K
- IndoorOutdoorNet : prithivMLmods/IndoorOutdoorNet-20K
- BnW vs Colored : prithivMLmods/BnW-vs-Colored-10K
- Multilabel Portrait : prithivMLmods/Multilabel-Portrait-18K
โฐโโคCollections :
> Multilabel Image Classification Datasets : prithivMLmods/multilabel-image-classification-datasets-6809aa64637f45d4c47fa6ca
> Model Collection : prithivMLmods/siglip2-content-filters-models-v2-68053a958c42ef17a3a3f4d1
Note: The anime scene type dataset is not mentioned in the list because it is private and only accessible to members of the DeepGHS organization.For raw ZIP files or more information about the datasets, visit: https://www.kaggle.com/prithivsakthiur/datasets
- 1 reply
prithivMLmodsย
posted
an
update
about 1 month ago
Post
2901
Dropping an entire collection of Style Intermixing Adapters on StrangerZone HF โ including Realism, Anime, Sketch, Texture-Rich 3D Experimentals, Automotive Concept Images, and LoRA models based on Flux.1, SD 3.5 Turbo/Large, Stable Diffusion XL ๐จ
โฐโโคCollection :
โ sketch : strangerzonehf/sketch-fav-675ba869c7ceaec7e652ee1c
โ sketch2 : strangerzonehf/q-series-sketch-678e3503bf3a661758429717
โ automotive : strangerzonehf/automotive-3d-675bb31a491d8c264d45d843
โ texture 3d : strangerzonehf/flux-3dxl-engine-674833c14a001d5b1fdb5139
โ super 3d : strangerzonehf/super-3d-engine-6743231d69f496df97addd2b
โ style mix : strangerzonehf/mixer-engine-673582c9c5939d8aa5bf9533
โ realism : strangerzonehf/realism-engine-67343495b6daf0fbdb904cc1
โฐโโคThe Entire Collection :
โ flux.1 : prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
โ flux-ultimate-lora-collection : strangerzonehf/Flux-Ultimate-LoRA-Collection
โ sd 3.5 large / turbo : prithivMLmods/sd-35-large-lora-671b39d7bc2e7f71a446b163
โ sdxl : prithivMLmods/sdxl-dev-models-667803a6d5ac75b59110e527
โฐโโคPages :
โ page 1:
strangerzonehf
โ page 2: @prithivMLmods
โ demo : prithivMLmods/FLUX-LoRA-DLC
.๐ค
โฐโโคCollection :
โ sketch : strangerzonehf/sketch-fav-675ba869c7ceaec7e652ee1c
โ sketch2 : strangerzonehf/q-series-sketch-678e3503bf3a661758429717
โ automotive : strangerzonehf/automotive-3d-675bb31a491d8c264d45d843
โ texture 3d : strangerzonehf/flux-3dxl-engine-674833c14a001d5b1fdb5139
โ super 3d : strangerzonehf/super-3d-engine-6743231d69f496df97addd2b
โ style mix : strangerzonehf/mixer-engine-673582c9c5939d8aa5bf9533
โ realism : strangerzonehf/realism-engine-67343495b6daf0fbdb904cc1
โฐโโคThe Entire Collection :
โ flux.1 : prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be
โ flux-ultimate-lora-collection : strangerzonehf/Flux-Ultimate-LoRA-Collection
โ sd 3.5 large / turbo : prithivMLmods/sd-35-large-lora-671b39d7bc2e7f71a446b163
โ sdxl : prithivMLmods/sdxl-dev-models-667803a6d5ac75b59110e527
โฐโโคPages :
โ page 1:
strangerzonehf
โ page 2: @prithivMLmods
โ demo : prithivMLmods/FLUX-LoRA-DLC
.๐ค
prithivMLmodsย
posted
an
update
about 1 month ago
Post
2612
Try out the demo for Multimodal OCR featuring the implementation of models including
๐คMultimodal OCR Space : prithivMLmods/Multimodal-OCR
๐ฆThe models implemented in this Space are:
+ Qwen2VL OCR : prithivMLmods/Qwen2-VL-OCR-2B-Instruct
+ Qwen2VL OCR2 : prithivMLmods/Qwen2-VL-OCR2-2B-Instruct
+ RolmOCR : reducto/RolmOCR
RolmOCR and Qwen2VL OCR. The use case showcases image-text-to-text conversion and video understanding support for the RolmOCR model ! ๐๐คMultimodal OCR Space : prithivMLmods/Multimodal-OCR
๐ฆThe models implemented in this Space are:
+ Qwen2VL OCR : prithivMLmods/Qwen2-VL-OCR-2B-Instruct
[ or ]+ Qwen2VL OCR2 : prithivMLmods/Qwen2-VL-OCR2-2B-Instruct
+ RolmOCR : reducto/RolmOCR
Qwen2VL OCR supports only image-text-to-text in the space.
prithivMLmodsย
posted
an
update
about 2 months ago
Post
3384
Loaded some domain-specific downstream image classification content moderation models, which is essentially the practice of monitoring and filtering user-generated content on platforms, based on SigLIP-2 Base Patch16 with newly initialized trainable parameters. ๐ฅ
+ Age-Classification-SigLIP2 : prithivMLmods/Age-Classification-SigLIP2
[ Age range classification from 0 to 65+ years ]
+ Facial-Emotion-Detection-SigLIP2 : prithivMLmods/Facial-Emotion-Detection-SigLIP2
[ Designed to classify different facial emotions ]
+ Hand-Gesture-2-Robot : prithivMLmods/Hand-Gesture-2-Robot
[ Human Hand Gesture Classification for Robot Control ]
+ Mature-Content-Detection : prithivMLmods/Mature-Content-Detection
[ Mature [adult] or neutral content categories ]
+ Vit-Mature-Content-Detection : prithivMLmods/Vit-Mature-Content-Detection
[ Mature [adult] or neutral content categories ft. ViT]
+ Human-Action-Recognition : prithivMLmods/Human-Action-Recognition
[ Human actions including clapping, sitting, running, and more ]
+ Mirage-Photo-Classifier : prithivMLmods/Mirage-Photo-Classifier
[ Whether an image is real or AI-generated (fake) ]
+ Food-101-93M : prithivMLmods/Food-101-93M
[ Classify food images into one of 101 popular dishes ]
+ Hand-Gesture-19 : prithivMLmods/Hand-Gesture-19
[ Classify hand gesture images into different categories ]
+ Trash-Net : prithivMLmods/Trash-Net
[ Classification of trash into six distinct categories ]
+ Gender-Classifier-Mini : prithivMLmods/Gender-Classifier-Mini
[ Classify images based on gender [Male / Female] ]
๐กCollections :
+ SigLIP2 Content Filters : https://huggingface.co/collections/prithivMLmods/siglip2-content-filters-models-67f001055ec2bed56ca41f6d
+ Age-Classification-SigLIP2 : prithivMLmods/Age-Classification-SigLIP2
[ Age range classification from 0 to 65+ years ]
+ Facial-Emotion-Detection-SigLIP2 : prithivMLmods/Facial-Emotion-Detection-SigLIP2
[ Designed to classify different facial emotions ]
+ Hand-Gesture-2-Robot : prithivMLmods/Hand-Gesture-2-Robot
[ Human Hand Gesture Classification for Robot Control ]
+ Mature-Content-Detection : prithivMLmods/Mature-Content-Detection
[ Mature [adult] or neutral content categories ]
+ Vit-Mature-Content-Detection : prithivMLmods/Vit-Mature-Content-Detection
[ Mature [adult] or neutral content categories ft. ViT]
+ Human-Action-Recognition : prithivMLmods/Human-Action-Recognition
[ Human actions including clapping, sitting, running, and more ]
+ Mirage-Photo-Classifier : prithivMLmods/Mirage-Photo-Classifier
[ Whether an image is real or AI-generated (fake) ]
+ Food-101-93M : prithivMLmods/Food-101-93M
[ Classify food images into one of 101 popular dishes ]
+ Hand-Gesture-19 : prithivMLmods/Hand-Gesture-19
[ Classify hand gesture images into different categories ]
+ Trash-Net : prithivMLmods/Trash-Net
[ Classification of trash into six distinct categories ]
+ Gender-Classifier-Mini : prithivMLmods/Gender-Classifier-Mini
[ Classify images based on gender [Male / Female] ]
๐กCollections :
+ SigLIP2 Content Filters : https://huggingface.co/collections/prithivMLmods/siglip2-content-filters-models-67f001055ec2bed56ca41f6d
prithivMLmodsย
posted
an
update
about 2 months ago
Post
2209
ChatGPT-4oโs image generation goes wild for a weekโfeaturing everything from Studio Ghibli-style art and image colorization to style intermixing. Here are some examples showcasing the generation of highly detailed images from freestyle design templates. Want to know more? Check out the blog ๐
๐Blog : https://huggingface.co/blog/prithivMLmods/chatgpt-4o-image-gen
๐Blog : https://huggingface.co/blog/prithivMLmods/chatgpt-4o-image-gen
prithivMLmodsย
posted
an
update
about 2 months ago
Post
1943
Luna, the single-speaker text-to-speech model, features a Radio & Atcosim-style sound with a female voice. It offers authentic radio podcast noise and empathetic speech generation, fine-tuned based on Orpheus's Llama-based speech generation state-of-the-art model. ๐๏ธ
+ Model : prithivMLmods/Llama-3B-Mono-Luna
+ Collection : prithivMLmods/clean-radio-mono-voice-67e76fe1b3a87cc3bccef803
+ Reference ft : https://github.com/canopyai/Orpheus-TTS
+ Base Model : canopylabs/orpheus-3b-0.1-ft
I also tried some other clean-voice single-speaker models based on Orpheus. If you're interested, check out the collection.
๐Try the Mono Luna demo here: http://colab.research.google.com/drive/1K0AAIOKDE5XE0znxXaiiUJvPSpFveteK
+ Model : prithivMLmods/Llama-3B-Mono-Luna
+ Collection : prithivMLmods/clean-radio-mono-voice-67e76fe1b3a87cc3bccef803
+ Reference ft : https://github.com/canopyai/Orpheus-TTS
+ Base Model : canopylabs/orpheus-3b-0.1-ft
I also tried some other clean-voice single-speaker models based on Orpheus. If you're interested, check out the collection.
๐Try the Mono Luna demo here: http://colab.research.google.com/drive/1K0AAIOKDE5XE0znxXaiiUJvPSpFveteK
-
- 6 replies
prithivMLmodsย
posted
an
update
2 months ago
Post
1774
Dropping some new Journey Art and Realism adapters for Flux.1-Dev, including Thematic Arts, 2021 Memory Adapters, Thread of Art, Black of Art, and more. For more details, visit the model card on Stranger Zone HF ๐ค
+ Black-of-Art-Flux : strangerzonehf/Black-of-Art-Flux
+ Thread-of-Art-Flux : strangerzonehf/Thread-of-Art-Flux
+ 2021-Art-Flux : strangerzonehf/2021-Art-Flux
+ 3d-Station-Toon : strangerzonehf/3d-Station-Toon
+ New-Journey-Art-Flux : strangerzonehf/New-Journey-Art-Flux
+ Casual-Pencil-Pro : strangerzonehf/Casual-Pencil-Pro
+ Realism-H6-Flux : strangerzonehf/Realism-H6-Flux
- Repository Page :
strangerzonehf
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
+ Black-of-Art-Flux : strangerzonehf/Black-of-Art-Flux
+ Thread-of-Art-Flux : strangerzonehf/Thread-of-Art-Flux
+ 2021-Art-Flux : strangerzonehf/2021-Art-Flux
+ 3d-Station-Toon : strangerzonehf/3d-Station-Toon
+ New-Journey-Art-Flux : strangerzonehf/New-Journey-Art-Flux
+ Casual-Pencil-Pro : strangerzonehf/Casual-Pencil-Pro
+ Realism-H6-Flux : strangerzonehf/Realism-H6-Flux
- Repository Page :
strangerzonehf
The best dimensions and inference settings for optimal results are as follows: A resolution of 1280 x 832 with a 3:2 aspect ratio is recommended for the best quality, while 1024 x 1024 with a 1:1 aspect ratio serves as the default option. For inference, the recommended number of steps ranges between 30 and 35 to achieve optimal output.
- 1 reply
prithivMLmodsย
posted
an
update
2 months ago
Post
2677
Dropping Downstream tasks using newly initialized parameters and weights ([classifier.bias & weights]) support domain-specific ๐ถ๐บ๐ฎ๐ด๐ฒ ๐ฐ๐น๐ฎ๐๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป. Based on siglip2-base-patch16-224 and DomainNet (single-domain, multi-source adaptation), with Fashion-MNIST & More for experimental testing. ๐งคโ๏ธ
Fashion-Mnist : prithivMLmods/Fashion-Mnist-SigLIP2
Mnist-Digits : prithivMLmods/Mnist-Digits-SigLIP2
Multisource-121 : prithivMLmods/Multisource-121-DomainNet
Painting-126 : prithivMLmods/Painting-126-DomainNet
Sketch-126 : prithivMLmods/Sketch-126-DomainNet
Clipart-126 : prithivMLmods/Clipart-126-DomainNet
Models are trained with different parameter settings for experimental purposes only, with the intent of further development. Refer to the model page below for instructions on running it with Transformers ๐ค.
Collection : prithivMLmods/domainnet-0324-67e0e3c934c03cc40c6c8782
Citations : SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 & Moment Matching for Multi-Source Domain Adaptation : https://arxiv.org/pdf/1812.01754
Fashion-Mnist : prithivMLmods/Fashion-Mnist-SigLIP2
Mnist-Digits : prithivMLmods/Mnist-Digits-SigLIP2
Multisource-121 : prithivMLmods/Multisource-121-DomainNet
Painting-126 : prithivMLmods/Painting-126-DomainNet
Sketch-126 : prithivMLmods/Sketch-126-DomainNet
Clipart-126 : prithivMLmods/Clipart-126-DomainNet
Models are trained with different parameter settings for experimental purposes only, with the intent of further development. Refer to the model page below for instructions on running it with Transformers ๐ค.
Collection : prithivMLmods/domainnet-0324-67e0e3c934c03cc40c6c8782
Citations : SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features https://arxiv.org/pdf/2502.14786 & Moment Matching for Multi-Source Domain Adaptation : https://arxiv.org/pdf/1812.01754