LN3Diff_I23D / sgm /configs /img23d-clipl-compat.yaml
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ldm_configs:
scheduler_config:
target: sgm.lr_scheduler.LambdaLinearScheduler
params:
warm_up_steps: [10000]
cycle_lengths: [10000000000000]
f_start: [1.e-6]
f_max: [1.]
f_min: [1.]
denoiser_config:
target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser
params:
num_idx: 1000
scaling_config:
target: sgm.modules.diffusionmodules.denoiser_scaling.EpsScaling
discretization_config:
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization
conditioner_config:
target: sgm.modules.GeneralConditioner
params:
emb_models:
- is_trainable: False
input_key: 'img'
ucg_rate: 0.1
# legacy_ucg_value: None
target: sgm.modules.encoders.modules.FrozenOpenCLIPImageEmbedder
params:
arch: 'ViT-L-14'
version: 'openai'
# version: 'laion2b_s32b_b82k'
freeze: True
output_tokens: True
- is_trainable: False
input_key: 'img'
ucg_rate: 0.1
# legacy_ucg_value: None
target: sgm.modules.encoders.modules.FrozenDinov2ImageEmbedder
params:
freeze: True
loss_fn_config:
target: sgm.modules.diffusionmodules.loss.StandardDiffusionLoss
params:
loss_weighting_config:
target: sgm.modules.diffusionmodules.loss_weighting.EpsWeighting
sigma_sampler_config:
target: sgm.modules.diffusionmodules.sigma_sampling.DiscreteSampling
params:
num_idx: 1000
discretization_config:
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization
sampler_config:
target: sgm.modules.diffusionmodules.sampling.EulerEDMSampler
params:
# num_steps: 250
num_steps: 50
discretization_config:
target: sgm.modules.diffusionmodules.discretizer.LegacyDDPMDiscretization
guider_config:
target: sgm.modules.diffusionmodules.guiders.VanillaCFG
params:
# scale: 1.0
scale: 6.5