↓ 9 callersMethod__init__(
self,
dim,
init_dim = None,
out_dim = None,
dim_mults=(1, 2, 4, 8),
src/custom_controlnet_aux/diffusion_edge/denoising_diffusion_pytorch/uncond_unet.py:240
↓ 9 callersMethod__init__(self, *, ch, out_ch, ch_mult=(1,2,4,8), num_res_blocks,
attn_resolutions, dropout=0.0, resam
src/custom_controlnet_aux/diffusion_edge/taming/modules/diffusionmodules/model.py:196
↓ 9 callersFunctionfunc(x, weights, bias=None, stride=1, padding=0, dilation=1, groups=1)
src/custom_controlnet_aux/pidi/model.py:304
↓ 8 callersMethodupsample_flow(self, flow, feature, bilinear=False, upsample_factor=8,
is_depth=False)
src/custom_controlnet_aux/unimatch/unimatch/unimatch.py:81
↓ 7 callersMethod__init__(self, in_features, hidden_features=None, out_features=None, act_layer=nn.GELU, drop=0.)
src/custom_controlnet_aux/uniformer/uniformer.py:24
↓ 6 callersMethod__init__(self, in_c1, in_c2, out_c1, out_c2, upscale = True)
src/custom_controlnet_aux/mlsd/models/mbv2_mlsd_tiny.py:10
↓ 6 callersMethod__init__(self, in_c1, in_c2, out_c1, out_c2, upscale = True)
src/custom_controlnet_aux/mlsd/models/mbv2_mlsd_large.py:10