GaussianAnything-AIGC3D / sgm /configs /img23d-clipl-compat-fm-lognorm-480-uniform-clay.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: 0.463
# ucg_rate: 0.562 # 0.316 ** 0.5
# # 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
# # inp_size: 448
# inp_size: 224
- is_trainable: False
input_key: 'img'
# ucg_rate: 0.463
# ucg_rate: 0.316 #
ucg_rate: 0.15 #
# legacy_ucg_value: None
target: sgm.modules.encoders.modules.FrozenDinov2ImageEmbedder
params:
freeze: True
arch: vitl
inp_size: 518
output_cls: True
- is_trainable: False
input_key: caption
# ucg_rate: 0.316
ucg_rate: 0.15
target: sgm.modules.encoders.modules.FrozenOpenCLIPEmbedder2
params:
always_return_pooled: True
legacy: False
arch: 'ViT-L-14'
version: 'openai'
loss_fn_config:
target: sgm.modules.diffusionmodules.loss.FMLoss
params:
transport_config:
target: transport.create_transport
params: # all follow default
# snr_type: lognorm # too noisy?
snr_type: uniform
# path_type: Linear
path_type: GVP
guider_config:
target: sgm.modules.diffusionmodules.guiders.VanillaCFG
params:
# scale: 1.0
scale: 5.0