Text-to-Image
Diffusers
Safetensors
English
Russian
LensPipeline
LensPipeline
sdnq
quantized
uint4
static-quantization
ablation
Instructions to use WaveCut/Lens-Turbo-SDNQ-uint4-static with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WaveCut/Lens-Turbo-SDNQ-uint4-static with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WaveCut/Lens-Turbo-SDNQ-uint4-static", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| { | |
| "benchmark": "model_cpu_offload_cold_warm", | |
| "hardware": "RunPod NVIDIA H100 80GB HBM3 (H100 SXM)", | |
| "mode": "Diffusers enable_model_cpu_offload()", | |
| "cache_state": "warm local HF cache; no download time included", | |
| "process_isolation": "single model per fresh Python process", | |
| "base_resolution": 1024, | |
| "aspect_ratio": "1:1", | |
| "num_inference_steps": 4, | |
| "guidance_scale": 1.0, | |
| "dtype": "torch.bfloat16", | |
| "definitions": { | |
| "load_time_s": "Pipeline load plus enable_model_cpu_offload setup from warm local HF cache; download time excluded.", | |
| "cold_generation": "P01, first generation immediately after fresh process load/offload setup.", | |
| "warm_generation": "P02-P10 after the cold P01 generation." | |
| }, | |
| "models": { | |
| "base": { | |
| "hardware": "RunPod NVIDIA H100 80GB HBM3 (H100 SXM)", | |
| "mode": "Diffusers enable_model_cpu_offload()", | |
| "cache_state": "warm local HF cache; no download time included", | |
| "process_isolation": "single model per fresh Python process", | |
| "base_resolution": 1024, | |
| "aspect_ratio": "1:1", | |
| "num_inference_steps": 4, | |
| "guidance_scale": 1.0, | |
| "dtype": "torch.bfloat16", | |
| "kind": "base", | |
| "load": { | |
| "load_time_s": 15.411, | |
| "peak_allocated_gb": 12.582, | |
| "peak_reserved_gb": 13.881, | |
| "end_allocated_gb": 10.185, | |
| "end_reserved_gb": 10.679 | |
| }, | |
| "summary": { | |
| "cold_time_s": 8.434, | |
| "cold_peak_allocated_gb": 18.945, | |
| "cold_peak_reserved_gb": 19.262, | |
| "warm_avg_time_s": 5.731, | |
| "warm_median_time_s": 5.141, | |
| "warm_avg_peak_allocated_gb": 18.945, | |
| "warm_avg_peak_reserved_gb": 19.267, | |
| "warm_max_peak_allocated_gb": 18.968, | |
| "warm_max_peak_reserved_gb": 19.29 | |
| }, | |
| "prompts": [ | |
| { | |
| "id": "P01", | |
| "title": "Orbital Night Market", | |
| "seed": 101, | |
| "time_s": 8.434, | |
| "peak_allocated_gb": 18.945, | |
| "peak_reserved_gb": 19.262, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.895 | |
| }, | |
| { | |
| "id": "P02", | |
| "title": "Arctic Research Desk", | |
| "seed": 102, | |
| "time_s": 5.613, | |
| "peak_allocated_gb": 18.949, | |
| "peak_reserved_gb": 19.258, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.893 | |
| }, | |
| { | |
| "id": "P03", | |
| "title": "Victorian Automaton Repair", | |
| "seed": 103, | |
| "time_s": 4.006, | |
| "peak_allocated_gb": 18.944, | |
| "peak_reserved_gb": 19.271, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.792 | |
| }, | |
| { | |
| "id": "P04", | |
| "title": "Mars Greenhouse Control Room", | |
| "seed": 104, | |
| "time_s": 7.509, | |
| "peak_allocated_gb": 18.938, | |
| "peak_reserved_gb": 19.258, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.872 | |
| }, | |
| { | |
| "id": "P05", | |
| "title": "Lost Railway Poster Wall", | |
| "seed": 105, | |
| "time_s": 4.658, | |
| "peak_allocated_gb": 18.939, | |
| "peak_reserved_gb": 19.258, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.872 | |
| }, | |
| { | |
| "id": "P06", | |
| "title": "Miniature Courtroom Diorama", | |
| "seed": 106, | |
| "time_s": 5.141, | |
| "peak_allocated_gb": 18.942, | |
| "peak_reserved_gb": 19.271, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.792 | |
| }, | |
| { | |
| "id": "P07", | |
| "title": "Rainy Seoul Book Cafe", | |
| "seed": 107, | |
| "time_s": 5.134, | |
| "peak_allocated_gb": 18.942, | |
| "peak_reserved_gb": 19.271, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.792 | |
| }, | |
| { | |
| "id": "P08", | |
| "title": "Oceanographic Expedition Map", | |
| "seed": 108, | |
| "time_s": 4.657, | |
| "peak_allocated_gb": 18.942, | |
| "peak_reserved_gb": 19.271, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.792 | |
| }, | |
| { | |
| "id": "P09", | |
| "title": "Renaissance Lab Notebook", | |
| "seed": 109, | |
| "time_s": 5.944, | |
| "peak_allocated_gb": 18.939, | |
| "peak_reserved_gb": 19.258, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.872 | |
| }, | |
| { | |
| "id": "P10", | |
| "title": "Russian Provincial Print Shop", | |
| "seed": 110, | |
| "time_s": 8.916, | |
| "peak_allocated_gb": 18.968, | |
| "peak_reserved_gb": 19.29, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.798 | |
| } | |
| ] | |
| }, | |
| "quant": { | |
| "hardware": "RunPod NVIDIA H100 80GB HBM3 (H100 SXM)", | |
| "mode": "Diffusers enable_model_cpu_offload()", | |
| "cache_state": "warm local HF cache; no download time included", | |
| "process_isolation": "single model per fresh Python process", | |
| "base_resolution": 1024, | |
| "aspect_ratio": "1:1", | |
| "num_inference_steps": 4, | |
| "guidance_scale": 1.0, | |
| "dtype": "torch.bfloat16", | |
| "kind": "quant", | |
| "load": { | |
| "load_time_s": 12.371, | |
| "peak_allocated_gb": 12.582, | |
| "peak_reserved_gb": 13.881, | |
| "end_allocated_gb": 10.185, | |
| "end_reserved_gb": 10.679 | |
| }, | |
| "summary": { | |
| "cold_time_s": 8.44, | |
| "cold_peak_allocated_gb": 15.085, | |
| "cold_peak_reserved_gb": 15.238, | |
| "warm_avg_time_s": 4.976, | |
| "warm_median_time_s": 3.855, | |
| "warm_avg_peak_allocated_gb": 15.084, | |
| "warm_avg_peak_reserved_gb": 15.249, | |
| "warm_max_peak_allocated_gb": 15.104, | |
| "warm_max_peak_reserved_gb": 15.28 | |
| }, | |
| "prompts": [ | |
| { | |
| "id": "P01", | |
| "title": "Orbital Night Market", | |
| "seed": 101, | |
| "time_s": 8.44, | |
| "peak_allocated_gb": 15.085, | |
| "peak_reserved_gb": 15.238, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.872 | |
| }, | |
| { | |
| "id": "P02", | |
| "title": "Arctic Research Desk", | |
| "seed": 102, | |
| "time_s": 6.726, | |
| "peak_allocated_gb": 15.089, | |
| "peak_reserved_gb": 15.261, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.878 | |
| }, | |
| { | |
| "id": "P03", | |
| "title": "Victorian Automaton Repair", | |
| "seed": 103, | |
| "time_s": 8.244, | |
| "peak_allocated_gb": 15.081, | |
| "peak_reserved_gb": 15.246, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.775 | |
| }, | |
| { | |
| "id": "P04", | |
| "title": "Mars Greenhouse Control Room", | |
| "seed": 104, | |
| "time_s": 4.033, | |
| "peak_allocated_gb": 15.079, | |
| "peak_reserved_gb": 15.238, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.874 | |
| }, | |
| { | |
| "id": "P05", | |
| "title": "Lost Railway Poster Wall", | |
| "seed": 105, | |
| "time_s": 3.836, | |
| "peak_allocated_gb": 15.08, | |
| "peak_reserved_gb": 15.238, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.876 | |
| }, | |
| { | |
| "id": "P06", | |
| "title": "Miniature Courtroom Diorama", | |
| "seed": 106, | |
| "time_s": 3.845, | |
| "peak_allocated_gb": 15.08, | |
| "peak_reserved_gb": 15.246, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.775 | |
| }, | |
| { | |
| "id": "P07", | |
| "title": "Rainy Seoul Book Cafe", | |
| "seed": 107, | |
| "time_s": 3.855, | |
| "peak_allocated_gb": 15.08, | |
| "peak_reserved_gb": 15.246, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.773 | |
| }, | |
| { | |
| "id": "P08", | |
| "title": "Oceanographic Expedition Map", | |
| "seed": 108, | |
| "time_s": 3.841, | |
| "peak_allocated_gb": 15.08, | |
| "peak_reserved_gb": 15.246, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.773 | |
| }, | |
| { | |
| "id": "P09", | |
| "title": "Renaissance Lab Notebook", | |
| "seed": 109, | |
| "time_s": 3.852, | |
| "peak_allocated_gb": 15.08, | |
| "peak_reserved_gb": 15.238, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.876 | |
| }, | |
| { | |
| "id": "P10", | |
| "title": "Russian Provincial Print Shop", | |
| "seed": 110, | |
| "time_s": 6.556, | |
| "peak_allocated_gb": 15.104, | |
| "peak_reserved_gb": 15.28, | |
| "end_allocated_gb": 10.221, | |
| "end_reserved_gb": 10.781 | |
| } | |
| ] | |
| } | |
| } | |
| } |