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Stable Cascade Stage B.
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@@ -338,6 +338,20 @@ class Stable_Cascade_C(supported_models_base.BASE):
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def clip_target(self):
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return None
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class Stable_Cascade_B(Stable_Cascade_C):
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unet_config = {
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"stable_cascade_stage": 'b',
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}
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models = [Stable_Zero123, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C]
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unet_extra_config = {}
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latent_format = latent_formats.SC_B
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supported_inference_dtypes = [torch.float16, torch.bfloat16, torch.float32]
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def get_model(self, state_dict, prefix="", device=None):
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out = model_base.StableCascade_B(self, device=device)
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return out
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models = [Stable_Zero123, SD15, SD20, SD21UnclipL, SD21UnclipH, SDXLRefiner, SDXL, SSD1B, Segmind_Vega, SD_X4Upscaler, Stable_Cascade_C, Stable_Cascade_B]
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models += [SVD_img2vid]
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