Text-to-Image
Sana
Diffusers
Safetensors
English
Chinese
Sana
1024px_based_image_size
Multi-language
Instructions to use Efficient-Large-Model/Sana_600M_1024px_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use Efficient-Large-Model/Sana_600M_1024px_diffusers 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://Efficient-Large-Model/Sana_600M_1024px_diffusers") 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: 401 Bytes
dc0bca3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"_class_name": "SanaPipeline",
"_diffusers_version": "0.32.0.dev0",
"scheduler": [
"diffusers",
"DPMSolverMultistepScheduler"
],
"text_encoder": [
"transformers",
"Gemma2Model"
],
"tokenizer": [
"transformers",
"GemmaTokenizerFast"
],
"transformer": [
"diffusers",
"SanaTransformer2DModel"
],
"vae": [
"diffusers",
"AutoencoderDC"
]
}
|