In a Training Loop 🔄

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ChunTe Lee

Chunte

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updated a Space about 4 hours ago

Chunte/huggy-v6-generator

published a Space 3 days ago

Chunte/huggy-v6-generator

published a Space 4 days ago

Chunte/demo_test

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updated a Space about 4 hours ago

Huggy V6 Generator

🤗

Generate custom images from text prompts

published a Space 3 days ago

Huggy V6 Generator

🤗

Generate custom images from text prompts

published a Space 4 days ago

Demo Test

💬

Chat with an AI-powered conversational assistant

updated a model 5 days ago

Chunte/huggy-style-v6-lora

Text-to-Image • Updated 5 days ago • 6 •

published a model 5 days ago

Chunte/huggy-style-v6-lora

Text-to-Image • Updated 5 days ago • 6 •

updated a dataset 5 days ago

Chunte/huggy_for_training

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updated a model 7 days ago

Chunte/huggy-style-v5-lora

Text-to-Image • Updated 7 days ago • 16 •

liked a Space 9 days ago

Huggy

🐶

434

Play with an AI dog that learns to catch thrown sticks

published a model 9 days ago

Chunte/huggy-style-v5-lora

Text-to-Image • Updated 7 days ago • 16 •

liked a Space 13 days ago

OmniAvatar

🐨

283

Generate podcast and tiktok style video avatars

liked 2 Spaces 18 days ago

FLUX.2 [dev]

💻

872

Generate or edit images from text and optional photos

Gemma 4 WebGPU

🚀

201

Run Gemma 4 locally in-browser on WebGPU w/ Transformers.js

reacted to danielhanchen's post with 🚀🔥 24 days ago

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3769

Google releases Gemma 4. ✨
Gemma 4 introduces 4 models: E2B, E4B, 26B-A4B, 31B.
The multimodal reasoning models are under Apache 2.0.

Run E2B and E4B on ~6GB RAM, and on phones. Run 26B-A4B and 31B on ~18GB.

GGUFs: https://huggingface.co/collections/unsloth/gemma-4
Guide: https://unsloth.ai/docs/models/gemma-4