Instructions to use ntc-ai/model-glue-sd15-sana-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use ntc-ai/model-glue-sd15-sana-text with Sana:
# Load the model and infer image from text import torch from app.sana_pipeline import SanaPipeline from torchvision.utils import save_image sana = SanaPipeline("configs/sana_config/1024ms/Sana_1600M_img1024.yaml") sana.from_pretrained("hf://ntc-ai/model-glue-sd15-sana-text") image = sana( prompt='a cyberpunk cat with a neon sign that says "Sana"', height=1024, width=1024, guidance_scale=5.0, pag_guidance_scale=2.0, num_inference_steps=18, ) - Notebooks
- Google Colab
- Kaggle
File size: 371 Bytes
b2d2fae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"source_dim": 768,
"target_dim": 2304,
"tokens": 77,
"width": 384,
"blocks": 4,
"particle_dim": 4,
"num_particles": 256,
"learnable_particles": false,
"source_residual": true,
"native_unconditional": true,
"output_head": "linear",
"head_width": 0,
"use_particles": true,
"output_source_residual": false,
"output_source_init_scale": 0.01
}
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