Instructions to use fassabilf/sd15-ift-us-even with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fassabilf/sd15-ift-us-even with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fassabilf/sd15-ift-us-even", 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 analysis/bootstrap_test.csv from fassabilf/sd15-ift-us-even: direct link, hf CLI and curl.
- Browser
- Download file 978 Bytes
-
https://huggingface.co/fassabilf/sd15-ift-us-even/resolve/main/analysis/bootstrap_test.csv
- Command line
-
hf download hf://fassabilf/sd15-ift-us-even/analysis/bootstrap_test.csv
-
curl -L -o bootstrap_test.csv https://huggingface.co/fassabilf/sd15-ift-us-even/resolve/main/analysis/bootstrap_test.csv
978 Bytes
| checkpoint,epoch,n_slug,mae_real,mae_even,signed_err_real,unclear_rate,n_images,mae_real_cluster_lo,mae_real_cluster_hi,mae_real_param_lo,mae_real_param_hi,mae_even_cluster_lo,mae_even_cluster_hi,mae_even_param_lo,mae_even_param_hi | |
| ep5,5,14,0.12929607385614222,0.2925490924829478,-0.05742732089416397,0.055,1400,0.09387571470741456,0.16605989072225413,0.11207441149893574,0.15062592280832987,0.2087296919454505,0.37250427626243415,0.2763508778746762,0.3137352211674586 | |
| ep10,10,14,0.13453478864269863,0.26123274100089944,-0.00736410696333864,0.047857142857142855,1400,0.08756865507761258,0.19234664657852676,0.1160544985463366,0.15637734414011825,0.17604624438460933,0.3453260375124529,0.24763923710331667,0.28607455479233623 | |
| ep15,15,14,0.12448779846113665,0.27172350804657214,0.07213432162967462,0.04285714285714286,1400,0.05798778577759458,0.22537946845638035,0.1117912934338202,0.1487820421058882,0.20145064982640845,0.3416761721674133,0.25150616308249985,0.29279166835008796 | |