Text-to-Image
Sana
Safetensors
Diffusers
sana-diffusers
simpletuner
Not-For-All-Audiences
lora
template:sd-lora
lycoris
Instructions to use mtreinik/simpletuner-lora-mikrei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use mtreinik/simpletuner-lora-mikrei 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://mtreinik/simpletuner-lora-mikrei") 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, ) - Diffusers
How to use mtreinik/simpletuner-lora-mikrei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("terminusresearch/sana-1.6b-1024px", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mtreinik/simpletuner-lora-mikrei") prompt = "unconditional (blank prompt)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Not-For-All-Audiences
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