peal.editors.ddpm_inversion.DDPMInversionConfig

class peal.editors.ddpm_inversion.DDPMInversionConfig[source]

Bases: EditorConfig

Settings of the edit-friendly DDPM inversion editor.

Consumed by peal.dependencies.ddpm_inversion.ddpm_inversion.DDPMInversion and by StableDiffusion.initialize in peal.generators.stable_diffusion_generator, which overrides cfg_scale_src and cfg_scale_tar from the explainer config.

Parameters:

  • editor_type (str) – Registry name of the editor, "DDPMInversion".

  • model_id (str) – Hugging Face id of the Stable Diffusion pipeline that is inverted.

  • generator_type (str) – Name under which the editor is registered as a generator.

  • base_path (str) – Directory for the editor’s outputs.

  • num_diffusion_steps (int) – Number of scheduler timesteps used for inversion and re-synthesis.

  • cfg_scale_src (float) – Classifier-free guidance scale during the forward (inversion) pass.

  • cfg_scale_tar (float) – Classifier-free guidance scale during the reverse (editing) pass.

  • eta (float) – DDIM eta; 1.0 gives the fully stochastic DDPM sampler the edit-friendly inversion is built on.

  • mode (str) – Editing mode of the original inversion CLI (our_inv, p2pinv, p2pddim or ddim). The vendored editor does not read it.

  • skip (int) – Number of the noisiest steps that are skipped: the reverse pass starts from wts[num_diffusion_steps - skip] and reuses the first num_diffusion_steps - skip stored noise maps.

  • xa (float) – Cross- and self-attention replacement fractions of the prompt-to-prompt modes. Not read by the vendored editor.

  • sa (float) – Cross- and self-attention replacement fractions of the prompt-to-prompt modes. Not read by the vendored editor.

  • data (DataConfig or None) – Data config whose normalization (mean, std) the editor uses to map predictor-space images to [0, 1] and back.

Methods

Attributes

base_path

cfg_scale_src

cfg_scale_tar

data

editor_type

eta

generator_type

mode

model_id

num_diffusion_steps

sa

skip

xa

editor_type: str = 'DDPMInversion'
model_id: str = 'CompVis/stable-diffusion-v1-4'
generator_type: str = 'DDPMInversionAdaptor'
base_path: str = 'peal_runs/ddpm_inversion'
num_diffusion_steps: int = 100
cfg_scale_src: float = 3.5
cfg_scale_tar: float = 15
eta: float = 1.0
mode: str = 'our_inv'
skip: int = 36
xa: float = 0.6
sa: float = 0.2
data: None | DataConfig = None