How to use jgilewicz/SANA-LoRA-CIFAR10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Efficient-Large-Model/Sana_1600M_1024px_BF16_diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jgilewicz/SANA-LoRA-CIFAR10") prompt = "a low-resolution photo of an airplane, CIFAR-10 style" image = pipe(prompt).images[0]
How to use jgilewicz/SANA-LoRA-CIFAR10 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://jgilewicz/SANA-LoRA-CIFAR10") 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, )
