| { |
| "flip_commit": "b3a42840ab5a2d73e45b6d596bdea25f1b383502", |
| "install": "pip install \"flip-utils @ git+https://github.com/londonaicentre/FLIP@b3a42840ab5a2d73e45b6d596bdea25f1b383502#subdirectory=flip-utils\"", |
| "launch": "cd fl-tutorials/nvflare/image_synthesis/latent_diffusion_model && python job.py --n_clients 2 --num_rounds 5", |
| "note": "Runs predate the tutorials' move to fl-tutorials/nvflare/image_generation/ (a2c053ec4).", |
| "sites": 2, |
| "hardware": "1 x NVIDIA GeForce RTX 5090 (both simulated sites)", |
| "versions": { |
| "torch": "2.13.0+cu130", |
| "monai": "1.6.0", |
| "nvflare": "2.9.0" |
| }, |
| "wall_time": { |
| "start": "2026-10-23 05:29:19", |
| "end": "2026-10-23 10:44:31", |
| "hours_minutes": "5 h 15 min" |
| }, |
| "model": "E7", |
| "local_epochs": 60, |
| "code_files": [ |
| "autoencoder_config.yaml", |
| "config.json", |
| "latent_utils.py", |
| "modality.py", |
| "models.py", |
| "plot_utils.py", |
| "trainer.py", |
| "transforms.py" |
| ], |
| "weights": { |
| "file": "diffusion_model.safetensors", |
| "sha256": "64d4092d917ac0c5083432ca96dd7426e410f4bc055a6a8d8148006f2e1b8175", |
| "dtype": "float32" |
| }, |
| "autoencoder": { |
| "folder": "autoencoder/v2", |
| "autoencoder_sha256": "8576bf403e1ca857d4c2fc125ff89d5a1a42a99a77627a3fa33c3369c839b6d9" |
| }, |
| "latent_scale_factor": 0.8319 |
| } |
