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Wan2.2 14B Fast

app_lora is base

Echo-TTS Preview

Fast, multi-speaker TTS (44.1kHz) with voice cloning

Gemma 3

Chat with multimodal gemma-3-12b-it or gemma-3-4b-it models

Z Image Turbo

Generate high-quality images from text prompts

TorchAO and AWQ Quant

app is basic torchao quant

Chroma

Wan2.2 14B Fast

app_lora is base

FLUX LoRa the Explorer

Generate images using prompts and LoRA models

InstaVideo-VACE-WAN-AL

wan2_fast.py is wan22, app.py is wan2.1 with light lora

Z Image Lora Trainer

For z image

Image2Video

app_quant_latent.py is now main

Latent Show

Generate images from latent tensors

Qwen3b Chat Finetune

Generate code or answers from text prompts

LLaMA 2 7B Chat (4-bit, ZeroGPU)

Generate text responses based on user prompts

Wan 2.2 14B Fast T2V

generate a video from a text prompt

Wan 2.2 14B Fast T2V

generate a video from a text prompt

Nava VEENInfrence

Generate Hindi speech from text using specific speakers

Qwen-Image-2509-Full Images

use app quick to gene in .1 sec app.py is ,main

Nava VEENInfrence

Generate Hindi speech with emotional tones

Nava MAYA Infrence

app_kv takes .3 GPU sec app_kv_1.py is Fa3 with 8bit

gpt-oss-20b-gradio

GPT OSS docker to Gra

Auot Train Demo

Create powerful AI models without code

Flash Attn Demo

Run attention kernel tests interactively

Train Lora

app.py is normal cpu other is gpu