prithivMLmods (Prithiv Sakthi)

reacted to BlinkDL's post with 🔥 about 4 hours ago

Post

349

RWKV-6-world-v3 (+3.1T tokens) is our best multilingual 7B model as of now: BlinkDL/rwkv-6-world

It's 100% RNN and attention-free. MMLU 54.2% (previous world-v2.1 = 47.9%. note: without eval-boosting tricks such as annealing).

RWKV-7-world-v4 soon :)

posted an update about 10 hours ago

Post

860

Funding realism back into the world. 🍺

🔥Stranger Zone's : Super Realism [ strangerzonehf/Flux-Super-Realism-LoRA ]

Demo1 : prithivMLmods/FLUX-LoRA-DLC
Demo2 : prithivMLmods/FLUX-REALISM

Other New adapt.s for dev 🍔 [ updated patch 2 ]

Hosted -> prithivMLmods/FLUX-LoRA-DLC

🍟Digital Chaos: prithivMLmods/Digital-Chaos-Flux-LoRA
🍟Threaded Knitted: prithivMLmods/Knitted-Character-Flux-LoRA
🍟Fashion Hut: prithivMLmods/Fashion-Hut-Modeling-LoRA
🍟Aura 9999: prithivMLmods/Aura-9999
🍟Green Cartoon: prithivMLmods/Green-Cartoon-Flux-LoRA
🍟Pastels: prithivMLmods/Pastel-BG-Flux-LoRA
🍟Retro Pixel: prithivMLmods/Retro-Pixel-Flux-LoRA
🍟CAnime: prithivMLmods/CAnime-LoRA
🍟Pastels: prithivMLmods/Pastel-BG-Flux-LoRA

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🎉LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

🎉LoRA Spaces: prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32

🎉Collection Zero:
prithivMLmods/collection-zero-and-demo-recently-updated-65e48a7dd8212873836ceca2
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@prithivMLmods 🤗

reacted to their post with 🔥 about 12 hours ago

Post

2423

New adapt.s for dev 🍔

Hosted -> prithivMLmods/FLUX-LoRA-DLC

✨Teen Outfit: prithivMLmods/Teen-Outfit
✨Dark Pink: prithivMLmods/Dark-Thing-Flux-LoRA
✨Shadow Projection: prithivMLmods/Shadow-Projection-Flux-LoRA
✨Abstract Cartoon: prithivMLmods/Abstract-Cartoon-Flux-LoRA
✨Street Bokeh: prithivMLmods/Street-Bokeh-Flux-LoRA
✨Fine Detailed: prithivMLmods/Flux-Realism-FineDetailed
✨Bold Shadows: prithivMLmods/Bold-Shadows-Flux-LoRA
✨Yellow Laser: prithivMLmods/Yellow-Laser-Flux-LoRA

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🎉LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

🎉LoRA Spaces: prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32

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.@prithivMLmods 🤗

reacted to ariG23498's post with 🚀 1 day ago

Post

1753

Qwen/qwen25-66e81a666513e518adb90d9e

Qwen/Qwen2.5-Coder-Artifacts

Qwen/Qwen2.5-Coder-demo

posted an update 1 day ago

Post

2423

New adapt.s for dev 🍔

Hosted -> prithivMLmods/FLUX-LoRA-DLC

✨Teen Outfit: prithivMLmods/Teen-Outfit
✨Dark Pink: prithivMLmods/Dark-Thing-Flux-LoRA
✨Shadow Projection: prithivMLmods/Shadow-Projection-Flux-LoRA
✨Abstract Cartoon: prithivMLmods/Abstract-Cartoon-Flux-LoRA
✨Street Bokeh: prithivMLmods/Street-Bokeh-Flux-LoRA
✨Fine Detailed: prithivMLmods/Flux-Realism-FineDetailed
✨Bold Shadows: prithivMLmods/Bold-Shadows-Flux-LoRA
✨Yellow Laser: prithivMLmods/Yellow-Laser-Flux-LoRA

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🎉LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

🎉LoRA Spaces: prithivMLmods/lora-space-collections-6714b72e0d49e1c97fbd6a32

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.@prithivMLmods 🤗

reacted to Dref360's post with 🤝 1 day ago

Post

2000

Sharing a new space to test out ViTPose, a pose estimation model using Visual Transformers.

[ViTPose Playground]( Dref360/vit_pose_playground)

This model will be available in transformers once [#30530](https://github.com/huggingface/transformers/pull/30530) is merged. Huge shoutout to @nielsr and @danelcsb for bringing this to HF!

Here's the result on my Ken Halloween costume.

1 reply

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reacted to their post with 🔥 2 days ago

Post

3901

GRID-6X : Layout for Seamless Image Assembly 🔥

🪨Demo: prithivMLmods/GRID-6X
🪨Doc / Blog: https://huggingface.co/blog/prithivMLmods/grid-6x

In the infer function:

grid_img = Image.new('RGB', (width * grid_size_x, height * grid_size_y))
for i, img in enumerate(result.images[:num_images]):
    grid_img.paste(img, (i % grid_size_x * width, i // grid_size_x * height))

1. **Image Initialization**: grid_img is a blank canvas that will hold the images in a grid format.
2. **Image Placement**: Images are pasted onto the canvas using a loop:
- **Horizontal Position**: (i % grid_size_x) * width calculates the x-coordinate.
- **Vertical Position**: (i // grid_size_x) * height calculates the y-coordinate.

1. **Grid Size Selection**: The user selects the grid size from options like "2x1", "1x2", "2x2", "2x3", "3x2", and "1x1". Each option corresponds to the arrangement of images:
- **2x1**: 2 images in a single row
- **1x2**: 1 image in two rows (column layout)
- **2x2**: 2 rows with 2 images each
- **2x3**: 2 rows with 3 images each
- **3x2**: 3 rows with 2 images each
- **1x1**: A single image (default)

2. **Image Generation**: Based on the grid size selection, the app calculates the number of images to generate. For example:
- If the grid size is "2x2", the app generates 4 images.
- For "3x2", it generates 6 images.

-> Each option arranges images accordingly, providing flexibility in viewing multiple images in one output.

-> Added both of these spaces that support the GRID functionality Layout for Seamless Image Assembly :

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🔥IMAGINEO-4K: prithivMLmods/IMAGINEO-4K

🔥GRID-6X: prithivMLmods/GRID-6X
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.@prithivMLmods 🤗

reacted to their post with ❤️ 2 days ago

Post

4785

Style flo : : 🎉🤗

{ Try Now on Flux LoRA DLC ⛵ } : prithivMLmods/FLUX-LoRA-DLC

-- Undersea
{ Red Fluid } : prithivMLmods/Red-Undersea-Flux-LoRA

-- 3D Realmix
{ 3D Portrait Render } : prithivMLmods/3D-Render-Flux-LoRA

-- Pop
{ Yellow Pop } : prithivMLmods/Yellow-Pop-Flux-Dev-LoRA

-- Grid
{ Purple Grid } : prithivMLmods/Purple-Grid-Flux-LoRA

{ collections : : }

🚀 Flux LoRA :
prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

🚀Collection zero: prithivMLmods/collection-zero-and-demo-recently-updated-65e48a7dd8212873836ceca2

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@prithivMLmods 🧨

posted an update 2 days ago

Post

3901

GRID-6X : Layout for Seamless Image Assembly 🔥

🪨Demo: prithivMLmods/GRID-6X
🪨Doc / Blog: https://huggingface.co/blog/prithivMLmods/grid-6x

In the infer function:

grid_img = Image.new('RGB', (width * grid_size_x, height * grid_size_y))
for i, img in enumerate(result.images[:num_images]):
    grid_img.paste(img, (i % grid_size_x * width, i // grid_size_x * height))

1. **Image Initialization**: grid_img is a blank canvas that will hold the images in a grid format.
2. **Image Placement**: Images are pasted onto the canvas using a loop:
- **Horizontal Position**: (i % grid_size_x) * width calculates the x-coordinate.
- **Vertical Position**: (i // grid_size_x) * height calculates the y-coordinate.

1. **Grid Size Selection**: The user selects the grid size from options like "2x1", "1x2", "2x2", "2x3", "3x2", and "1x1". Each option corresponds to the arrangement of images:
- **2x1**: 2 images in a single row
- **1x2**: 1 image in two rows (column layout)
- **2x2**: 2 rows with 2 images each
- **2x3**: 2 rows with 3 images each
- **3x2**: 3 rows with 2 images each
- **1x1**: A single image (default)

2. **Image Generation**: Based on the grid size selection, the app calculates the number of images to generate. For example:
- If the grid size is "2x2", the app generates 4 images.
- For "3x2", it generates 6 images.

-> Each option arranges images accordingly, providing flexibility in viewing multiple images in one output.

-> Added both of these spaces that support the GRID functionality Layout for Seamless Image Assembly :

----------
🔥IMAGINEO-4K: prithivMLmods/IMAGINEO-4K

🔥GRID-6X: prithivMLmods/GRID-6X
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.@prithivMLmods 🤗

reacted to their post with 👀👍🔥 3 days ago

Post

5486

New Style, New Mix, New Drop 🧤

🧨Flux LoRA DLC: prithivMLmods/FLUX-LoRA-DLC

🎆Glowing-Body: prithivMLmods/Glowing-Body-Flux-LoRA
🎆Electric-Blue: prithivMLmods/Electric-Blue-Flux-LoRA
🎆Intense-Red: prithivMLmods/Intense-Red-Flux-LoRA
🎆Clouds-Illusion: prithivMLmods/Clouds-Illusion-Flux-LoRA
🎆Digital-Yellow: prithivMLmods/Digital-Yellow-Flux-LoRA

🧨Flux LoRA Collection: prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

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@prithivMLmods

posted an update 3 days ago

Post

4785

Style flo : : 🎉🤗

{ Try Now on Flux LoRA DLC ⛵ } : prithivMLmods/FLUX-LoRA-DLC

-- Undersea
{ Red Fluid } : prithivMLmods/Red-Undersea-Flux-LoRA

-- 3D Realmix
{ 3D Portrait Render } : prithivMLmods/3D-Render-Flux-LoRA

-- Pop
{ Yellow Pop } : prithivMLmods/Yellow-Pop-Flux-Dev-LoRA

-- Grid
{ Purple Grid } : prithivMLmods/Purple-Grid-Flux-LoRA

{ collections : : }

🚀 Flux LoRA :
prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

🚀Collection zero: prithivMLmods/collection-zero-and-demo-recently-updated-65e48a7dd8212873836ceca2

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@prithivMLmods 🧨

reacted to their post with ❤️ 4 days ago

Post

2989

FLUX 1.1 [pro] Ultra : API - { 4x Higher Image Resolutions }
Upto - 4 Megapixels, 10 seconds per sample. { Hi - Res }

{ Blog Post ⛵ } : https://huggingface.co/blog/prithivMLmods/flux-pro-endpoint

Endpoint Creation Step by Step: 🧵
-> Sign up to { api.bfl.ml } & get your api's: https://api.bfl.ml/auth/profile
-> File Structure:
flux_image_generation/
├── .env
├── generate_image.py
└── requirements.txt

-> Step 0: Add Your API Key to an Environment File
{ .env }

BFL_API_KEY=your_actual_api_key_here

-> Step 1: Install Required Libraries
{ requirements.txt }

requests
python-dotenv

-> Step 2: Setup the Python Script
{ generate_image.py} - https://github.com/PRITHIVSAKTHIUR/Flux-API/blob/main/generate_image.py

-> Step3: Install the requirements & Run the Script

pip install -r requirements.txt

python generate_image.py

-> Polling: The script polls the API every 0.5 seconds until the image generation result is ready. That's it the script also checks for a successful response after submitting the request.

For more visit:
🔺for script: https://github.com/PRITHIVSAKTHIUR/Flux-API/tree/main
🔺bfl doc: https://docs.bfl.ml/quick_start/gen_image/#__tabbed_1_2

Endpoints for image generation: 🧵
-> /flux-pro-1.1-ultra
-> /flux-pro-1.1
-> /flux-pro
-> /flux-dev

Each ID has 50 free credits available for use, based on the cost per image sample generated by the model.

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@prithivMLmods 🤗

reacted to their post with ❤️ 4 days ago

Post

4547

Quintet Drop : : 🤗

{ Flux LoRA DLC ⛵ } : prithivMLmods/FLUX-LoRA-DLC

-- Purple Dreamy
{ pop of color } : prithivMLmods/Purple-Dreamy-Flux-LoRA

-- Golden Dust
{ shimmer contrast } : prithivMLmods/Golden-Dust-Flux-LoRA

-- Lime Green
{ depth to the composition } : prithivMLmods/Lime-Green-Flux-LoRA

-- Flare Strike
{ Fractured Line } : prithivMLmods/Fractured-Line-Flare

-- Orange Chroma
{ studio lighting } : prithivMLmods/Orange-Chroma-Flux-LoRA
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{ collection } : prithivMLmods/flux-lora-collections-66dd5908be2206cfaa8519be

@prithivMLmods

posted an update 5 days ago

Post

2989

FLUX 1.1 [pro] Ultra : API - { 4x Higher Image Resolutions }
Upto - 4 Megapixels, 10 seconds per sample. { Hi - Res }

{ Blog Post ⛵ } : https://huggingface.co/blog/prithivMLmods/flux-pro-endpoint

Endpoint Creation Step by Step: 🧵
-> Sign up to { api.bfl.ml } & get your api's: https://api.bfl.ml/auth/profile
-> File Structure:
flux_image_generation/
├── .env
├── generate_image.py
└── requirements.txt

-> Step 0: Add Your API Key to an Environment File
{ .env }

BFL_API_KEY=your_actual_api_key_here

-> Step 1: Install Required Libraries
{ requirements.txt }

requests
python-dotenv

-> Step 2: Setup the Python Script
{ generate_image.py} - https://github.com/PRITHIVSAKTHIUR/Flux-API/blob/main/generate_image.py

-> Step3: Install the requirements & Run the Script

pip install -r requirements.txt

python generate_image.py

-> Polling: The script polls the API every 0.5 seconds until the image generation result is ready. That's it the script also checks for a successful response after submitting the request.

For more visit:
🔺for script: https://github.com/PRITHIVSAKTHIUR/Flux-API/tree/main
🔺bfl doc: https://docs.bfl.ml/quick_start/gen_image/#__tabbed_1_2

Endpoints for image generation: 🧵
-> /flux-pro-1.1-ultra
-> /flux-pro-1.1
-> /flux-pro
-> /flux-dev

Each ID has 50 free credits available for use, based on the cost per image sample generated by the model.

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@prithivMLmods 🤗

reacted to ezgikorkmaz's post with ❤️ 5 days ago

Post

2428

I will be giving a tutorial at AAAI 2025! Quite excited to share the recent advancements in the field and my contributions to it!

Stay tuned for more updates.
Link: https://x.com/EzgiKorkmazAI/status/1854525141897671111

reacted to abhishek's post with 🔥 5 days ago

Post

4683

INTRODUCING Hugging Face AutoTrain Client 🔥
Fine-tuning models got even easier!!!!
Now you can fine-tune SOTA models on all compatible dataset-model pairs on Hugging Face Hub using Python on Hugging Face Servers. Choose from a number of GPU flavors, millions of models and dataset pairs and 10+ tasks 🤗

To try, install autotrain-advanced using pip. You can ignore dependencies and install without --no-deps and then you'd need to install some dependencies by hand.

"pip install autotrain-advanced"

Github repo: https://github.com/huggingface/autotrain-advanced