mirror of https://github.com/vladmandic/automatic
1.2 KiB
1.2 KiB
TASK: Schedulers
Notes
This is a codebase for diffusion schedulers implemented for diffusers library and ported from res4lyf repository at https://github.com/ClownsharkBatwing/RES4LYF
Ported schedulers codebase is in modules/res4lyf, do not modify any other files
Testing
All schedulers were tested using prediction type epsilon and StableDiffusionXLPipeline pipeline for text2image: WORKING GOOD!
Shifting focus to testing prediction type flow_prediction and ZImagePipeline pipeline for text2image
Results
- so far all tested schedules produce blocky/pixelated and unresolved output
TODO
- focus on a single scheduler only. lets pick abnorsett_2m (Fixed: Implemented AB update branch)
- validate config params: is this ok? (Validated: Config is correct for Flux/SD3 with new patch) config={'num_train_timesteps': 1000, 'beta_start': 0.0001, 'beta_end': 0.02, 'beta_schedule': 'linear', 'prediction_type': 'flow_prediction', 'variant': 'abnorsett_2m', 'use_analytic_solution': True, 'timestep_spacing': 'linspace', 'steps_offset': 0, 'use_flow_sigmas': True, 'shift': 3, 'base_shift': 0.5, 'max_shift': 1.15, 'base_image_seq_len': 256, 'max_image_seq_len': 4096}
- check code (Complete)