Instructions to use Cccccz/HY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cccccz/HY with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cccccz/HY", 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
Download confidence_validation/c1_threshold_validation25/summary.csv from Cccccz/HY: direct link, hf CLI and curl.
- Browser
- Download file 2.94 kB
-
https://huggingface.co/Cccccz/HY/resolve/main/confidence_validation/c1_threshold_validation25/summary.csv
- Command line
-
hf download hf://Cccccz/HY/confidence_validation/c1_threshold_validation25/summary.csv
-
curl -L -o summary.csv https://huggingface.co/Cccccz/HY/resolve/main/confidence_validation/c1_threshold_validation25/summary.csv
2.94 kB
| method,threshold_log_c1,fallback_rate,p1_fallback_rate,p2_fallback_rate,p3_fallback_rate,mean_end_to_end_s,psnr_db,frame_psnr_mean_db,ssim,lpips_alex,pixel_mae,pixel_mse,pixel_rmse,temporal_delta_mse,vbench_subject_consistency,vbench_background_consistency,vbench_temporal_flickering,vbench_motion_smoothness,vbench_dynamic_degree,vbench_aesthetic_quality,vbench_imaging_quality,vbench_overall_consistency,vbench_core5_mean | |
| FFFF,None,1.0,,,,,inf,inf,1.0,0.0,0.0,0.0,0.0,0.0,0.9480749635855037,0.9430755910565776,0.9584489341647017,0.9893996710686921,0.82,0.5984862497448922,0.7340275594329835,0.24809463396668435,0.8426128069777297 | |
| FPPF,None,0.3333333333333333,,,,,21.593346196430627,23.97453586290849,0.746684046046734,0.12099588543950114,0.04511181315502153,0.009691555944529896,0.09161645448522822,0.008823608518287073,0.9474605375095722,0.9438224349483367,0.9604507553109936,0.989682650584811,0.8,0.5982152584195137,0.730930085635376,0.24917750611901282,0.8420221934195219 | |
| FPPP,None,0.0,,,,,20.308533622256405,22.446092516703374,0.6914340979039671,0.23528402410950516,0.054245410915873954,0.011888072101751463,0.10328612366794497,0.008930881888954901,0.9255741960555315,0.9308735509072581,0.9654783755155171,0.9870247469802622,0.82,0.5638106274604797,0.6888101954261779,0.24728918850421905,0.819218663365942 | |
| C1-r10,-3.523588657,0.1438095238095238,0.0,0.0,0.43142857142857144,84.42822845273069,20.673972463574263,22.60256892630426,0.7189267579293257,0.16236638777270912,0.05034142703045158,0.010999858650310487,0.09900532903010674,0.008911931206093869,0.9403002772648489,0.9388887466922883,0.9618239460903055,0.9887010740619526,0.82,0.5869080236554146,0.7173659597297669,0.2491347920894623,0.8344328162808543 | |
| C1-r25,-3.915276289,0.2861904761904762,0.0,0.0,0.8585714285714285,83.51112565651128,21.025889159217662,23.00035589281393,0.7327034662091734,0.13290133690908554,0.04774270830776542,0.010374391180268139,0.095749054033939,0.009165997090021846,0.9460808533273878,0.9421683231476814,0.9604834818723156,0.9894952394128942,0.8,0.5959329095482826,0.7276483651573181,0.2491569009423256,0.8402651381187128 | |
| C1-r33,-4.329442501,0.3380952380952381,0.014285714285714285,0.05285714285714286,0.9471428571428572,84.58286115615047,21.183387303768146,23.192352492844282,0.7375190385472777,0.12620077199377122,0.046917045371290295,0.010171981018946102,0.09456364497563306,0.009169250550476135,0.9475698670841033,0.9426687129851311,0.9599090755009183,0.9895824586437182,0.8,0.5974819004535675,0.729475989491272,0.2490800651907921,0.8413557857315584 | |
| C1-r50,-4.79892683,0.5171428571428571,0.13142857142857142,0.42,1.0,99.25920022401726,22.11610699774378,24.12363936617357,0.7683776850652694,0.1050749322929606,0.040959788803271946,0.008328448020131038,0.08546495607525889,0.008148231709055835,0.9477616070198916,0.9430070643271169,0.9589383629805901,0.9895042519327572,0.8,0.5991387969255447,0.7326260545639037,0.24868253156542777,0.8424075549538428 | |