Support for CosXL models.

This commit is contained in:
comfyanonymous
2024-04-05 10:40:27 -04:00
parent 41ed7e85ea
commit 1088d1850f
2 changed files with 10 additions and 3 deletions

View File

@@ -174,6 +174,11 @@ class SDXL(supported_models_base.BASE):
self.sampling_settings["sigma_max"] = 80.0
self.sampling_settings["sigma_min"] = 0.002
return model_base.ModelType.EDM
elif "edm_vpred.sigma_max" in state_dict:
self.sampling_settings["sigma_max"] = float(state_dict["edm_vpred.sigma_max"].item())
if "edm_vpred.sigma_min" in state_dict:
self.sampling_settings["sigma_min"] = float(state_dict["edm_vpred.sigma_min"].item())
return model_base.ModelType.V_PREDICTION_EDM
elif "v_pred" in state_dict:
return model_base.ModelType.V_PREDICTION
else:
@@ -469,7 +474,7 @@ class SDXL_instructpix2pix(SDXL):
}
def get_model(self, state_dict, prefix="", device=None):
return model_base.SDXL_instructpix2pix(self, device=device)
return model_base.SDXL_instructpix2pix(self, model_type=self.model_type(state_dict, prefix), device=device)
models = [Stable_Zero123, SD15_instructpix2pix, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXL_instructpix2pix, SDXLRefiner, SDXL, SSD1B, KOALA_700M, KOALA_1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B, SV3D_u, SV3D_p]