Instructions to use Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Sana
How to use Efficient-Large-Model/SANA1.5_1.6B_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/SANA1.5_1.6B_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, ) - Diffusers
How to use Efficient-Large-Model/SANA1.5_1.6B_1024px_diffusers 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/SANA1.5_1.6B_1024px_diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
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| { | |
| "_class_name": "DPMSolverMultistepScheduler", | |
| "_diffusers_version": "0.33.0.dev0", | |
| "algorithm_type": "dpmsolver++", | |
| "beta_end": 0.02, | |
| "beta_schedule": "linear", | |
| "beta_start": 0.0001, | |
| "dynamic_thresholding_ratio": 0.995, | |
| "euler_at_final": false, | |
| "final_sigmas_type": "zero", | |
| "flow_shift": 3.0, | |
| "lambda_min_clipped": -Infinity, | |
| "lower_order_final": true, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "flow_prediction", | |
| "rescale_betas_zero_snr": false, | |
| "sample_max_value": 1.0, | |
| "solver_order": 2, | |
| "solver_type": "midpoint", | |
| "steps_offset": 0, | |
| "thresholding": false, | |
| "timestep_spacing": "linspace", | |
| "trained_betas": null, | |
| "use_beta_sigmas": false, | |
| "use_exponential_sigmas": false, | |
| "use_flow_sigmas": true, | |
| "use_karras_sigmas": false, | |
| "use_lu_lambdas": false, | |
| "variance_type": null | |
| } | |