Loading modules/sd_models_xl.py +4 −0 Original line number Diff line number Diff line Loading @@ -32,6 +32,9 @@ def apply_model(self: sgm.models.diffusion.DiffusionEngine, x, t, cond): return self.model(x, t, cond) def get_first_stage_encoding(self, x): # SDXL's encode_first_stage does everything so get_first_stage_encoding is just there for compatibility return x def extend_sdxl(model): dtype = next(model.model.diffusion_model.parameters()).dtype model.model.diffusion_model.dtype = dtype Loading @@ -50,6 +53,7 @@ def extend_sdxl(model): sgm.models.diffusion.DiffusionEngine.get_learned_conditioning = get_learned_conditioning sgm.models.diffusion.DiffusionEngine.apply_model = apply_model sgm.models.diffusion.DiffusionEngine.get_first_stage_encoding = get_first_stage_encoding sgm.modules.attention.print = lambda *args: None sgm.modules.diffusionmodules.model.print = lambda *args: None Loading Loading
modules/sd_models_xl.py +4 −0 Original line number Diff line number Diff line Loading @@ -32,6 +32,9 @@ def apply_model(self: sgm.models.diffusion.DiffusionEngine, x, t, cond): return self.model(x, t, cond) def get_first_stage_encoding(self, x): # SDXL's encode_first_stage does everything so get_first_stage_encoding is just there for compatibility return x def extend_sdxl(model): dtype = next(model.model.diffusion_model.parameters()).dtype model.model.diffusion_model.dtype = dtype Loading @@ -50,6 +53,7 @@ def extend_sdxl(model): sgm.models.diffusion.DiffusionEngine.get_learned_conditioning = get_learned_conditioning sgm.models.diffusion.DiffusionEngine.apply_model = apply_model sgm.models.diffusion.DiffusionEngine.get_first_stage_encoding = get_first_stage_encoding sgm.modules.attention.print = lambda *args: None sgm.modules.diffusionmodules.model.print = lambda *args: None Loading
