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suggestions and fixes from the PR

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AUTOMATIC
2023-05-10 21:21:32 +03:00
parent d25219b7e8
commit 3ec7b705c7
11 changed files with 16 additions and 31 deletions
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2
extensions-builtin/Lora/scripts/lora_script.py
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@@ -53,7 +53,7 @@ script_callbacks.on_infotext_pasted(lora.infotext_pasted)
shared.options_templates.update(shared.options_section(('extra_networks', "Extra Networks"), {
"sd_lora": shared.OptionInfo("None", "Add Lora to prompt", gr.Dropdown, lambda: {"choices": ["None"] + list(lora.available_loras)}, refresh=lora.list_available_loras),
"sd_lora": shared.OptionInfo("None", "Add Lora to prompt", gr.Dropdown, lambda: {"choices": ["None", *lora.available_loras]}, refresh=lora.list_available_loras),
}))

6
extensions-builtin/SwinIR/swinir_model_arch.py
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@@ -644,17 +644,13 @@ class SwinIR(nn.Module):
"""
def __init__(self, img_size=64, patch_size=1, in_chans=3,
embed_dim=96, depths=None, num_heads=None,
embed_dim=96, depths=(6, 6, 6, 6), num_heads=(6, 6, 6, 6),
window_size=7, mlp_ratio=4., qkv_bias=True, qk_scale=None,
drop_rate=0., attn_drop_rate=0., drop_path_rate=0.1,
norm_layer=nn.LayerNorm, ape=False, patch_norm=True,
use_checkpoint=False, upscale=2, img_range=1., upsampler='', resi_connection='1conv',
**kwargs):
super(SwinIR, self).__init__()
depths = depths or [6, 6, 6, 6]
num_heads = num_heads or [6, 6, 6, 6]
num_in_ch = in_chans
num_out_ch = in_chans
num_feat = 64

11
extensions-builtin/SwinIR/swinir_model_arch_v2.py
View File

@@ -74,12 +74,9 @@ class WindowAttention(nn.Module):
"""
def __init__(self, dim, window_size, num_heads, qkv_bias=True, attn_drop=0., proj_drop=0.,
pretrained_window_size=None):
pretrained_window_size=(0, 0)):
super().__init__()
pretrained_window_size = pretrained_window_size or [0, 0]
self.dim = dim
self.window_size = window_size # Wh, Ww
self.pretrained_window_size = pretrained_window_size
@@ -701,17 +698,13 @@ class Swin2SR(nn.Module):
"""
def __init__(self, img_size=64, patch_size=1, in_chans=3,
embed_dim=96, depths=None, num_heads=None,
embed_dim=96, depths=(6, 6, 6, 6), num_heads=(6, 6, 6, 6),
window_size=7, mlp_ratio=4., qkv_bias=True,
drop_rate=0., attn_drop_rate=0., drop_path_rate=0.1,
norm_layer=nn.LayerNorm, ape=False, patch_norm=True,
use_checkpoint=False, upscale=2, img_range=1., upsampler='', resi_connection='1conv',
**kwargs):
super(Swin2SR, self).__init__()
depths = depths or [6, 6, 6, 6]
num_heads = num_heads or [6, 6, 6, 6]
num_in_ch = in_chans
num_out_ch = in_chans
num_feat = 64