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Support segmind vega model.

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comfyanonymous 2023-12-12 19:09:53 -05:00
parent 824e4935f5
commit b454a67bb9
2 changed files with 18 additions and 2 deletions
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8
comfy/model_detection.py
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@ -289,7 +289,13 @@ def unet_config_from_diffusers_unet(state_dict, dtype):
'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64, 'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64,
'use_temporal_attention': False, 'use_temporal_resblock': False} 'use_temporal_attention': False, 'use_temporal_resblock': False}
supported_models = [SDXL, SDXL_refiner, SD21, SD15, SD21_uncliph, SD21_unclipl, SDXL_mid_cnet, SDXL_small_cnet, SDXL_diffusers_inpaint, SSD_1B] Segmind_Vega = {'use_checkpoint': False, 'image_size': 32, 'out_channels': 4, 'use_spatial_transformer': True, 'legacy': False,
'num_classes': 'sequential', 'adm_in_channels': 2816, 'dtype': dtype, 'in_channels': 4, 'model_channels': 320,
'num_res_blocks': [2, 2, 2], 'transformer_depth': [0, 0, 1, 1, 2, 2], 'transformer_depth_output': [0, 0, 0, 1, 1, 1, 2, 2, 2],
'channel_mult': [1, 2, 4], 'transformer_depth_middle': -1, 'use_linear_in_transformer': True, 'context_dim': 2048, 'num_head_channels': 64,
'use_temporal_attention': False, 'use_temporal_resblock': False}
supported_models = [SDXL, SDXL_refiner, SD21, SD15, SD21_uncliph, SD21_unclipl, SDXL_mid_cnet, SDXL_small_cnet, SDXL_diffusers_inpaint, SSD_1B, Segmind_Vega]
for unet_config in supported_models: for unet_config in supported_models:
matches = True matches = True

12
comfy/supported_models.py
View File

@ -217,6 +217,16 @@ class SSD1B(SDXL):
"use_temporal_attention": False, "use_temporal_attention": False,
} }
class Segmind_Vega(SDXL):
unet_config = {
"model_channels": 320,
"use_linear_in_transformer": True,
"transformer_depth": [0, 0, 1, 1, 2, 2],
"context_dim": 2048,
"adm_in_channels": 2816,
"use_temporal_attention": False,
}
class SVD_img2vid(supported_models_base.BASE): class SVD_img2vid(supported_models_base.BASE):
unet_config = { unet_config = {
"model_channels": 320, "model_channels": 320,
@ -242,5 +252,5 @@ class SVD_img2vid(supported_models_base.BASE):
def clip_target(self): def clip_target(self):
return None return None
models = [SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B] models = [SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega]
models += [SVD_img2vid] models += [SVD_img2vid]