How to use from the
Use from the
Diffusers library
# Gated model: Login with a HF token with gated access permission
hf auth login
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Svatai/svatai", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

You need to agree to share your Hugging Face information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

Svat AI, an advanced text-to-image generation model with 16.8 billion parameters, specifically designed to create high-clarity and extremely detailed images from a wide range of text prompts. Whether your input is a single word or a complex sentence, Svat AI excels at producing visually striking results that push the boundaries of what’s possible in AI image generation. Led by a small, dedicated team, Svat AI is shaping the future of AI, striving to make advanced technology more accessible to everyone. With ambitious plans to expand into text-to-video, text-to-movie, text-to-show, and beyond, Svat AI is setting new benchmarks in the AI industry.

Learn more at www.svatai.com or contact us at info@svatai.com if you'd like to join our team or collaborate.

image/png

image/png

image/webp

image/png

image/png

Downloads last month
-
Safetensors
Model size
12B params
Tensor type
F16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including Svatai/svatai