Deprecate init image correctly (huggingface#1649)

Deprecate init image correctl

Author: patrickvonplaten

src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py

@@ -420,7 +420,7 @@ def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dt
     def __call__(
         self,
         prompt: Union[str, List[str]],
-        image: Union[torch.FloatTensor, PIL.Image.Image],
+        image: Union[torch.FloatTensor, PIL.Image.Image] = None,
         strength: float = 0.8,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,

src/diffusers/pipelines/latent_diffusion/pipeline_latent_diffusion_superresolution.py

@@ -66,7 +66,7 @@ def __init__(
     @torch.no_grad()
     def __call__(
         self,
-        image: Union[torch.Tensor, PIL.Image.Image],
+        image: Union[torch.Tensor, PIL.Image.Image] = None,
         batch_size: Optional[int] = 1,
         num_inference_steps: Optional[int] = 100,
         eta: Optional[float] = 0.0,

src/diffusers/pipelines/stable_diffusion/pipeline_cycle_diffusion.py

@@ -460,7 +460,7 @@ def __call__(
         self,
         prompt: Union[str, List[str]],
         source_prompt: Union[str, List[str]],
-        image: Union[torch.FloatTensor, PIL.Image.Image],
+        image: Union[torch.FloatTensor, PIL.Image.Image] = None,
         strength: float = 0.8,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_img2img.py

@@ -229,7 +229,7 @@ def _encode_prompt(self, prompt, num_images_per_prompt, do_classifier_free_guida
     def __call__(
         self,
         prompt: Union[str, List[str]],
-        image: Union[np.ndarray, PIL.Image.Image],
+        image: Union[np.ndarray, PIL.Image.Image] = None,
         strength: float = 0.8,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,

src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion_inpaint_legacy.py

@@ -228,8 +228,8 @@ def _encode_prompt(self, prompt, num_images_per_prompt, do_classifier_free_guida
     def __call__(
         self,
         prompt: Union[str, List[str]],
-        image: Union[np.ndarray, PIL.Image.Image],
-        mask_image: Union[np.ndarray, PIL.Image.Image],
+        image: Union[np.ndarray, PIL.Image.Image] = None,
+        mask_image: Union[np.ndarray, PIL.Image.Image] = None,
         strength: float = 0.8,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py

@@ -425,7 +425,7 @@ def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dt
     def __call__(
         self,
         prompt: Union[str, List[str]],
-        image: Union[torch.FloatTensor, PIL.Image.Image],
+        image: Union[torch.FloatTensor, PIL.Image.Image] = None,
         strength: float = 0.8,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py

@@ -423,8 +423,8 @@ def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dt
     def __call__(
         self,
         prompt: Union[str, List[str]],
-        image: Union[torch.FloatTensor, PIL.Image.Image],
-        mask_image: Union[torch.FloatTensor, PIL.Image.Image],
+        image: Union[torch.FloatTensor, PIL.Image.Image] = None,
+        mask_image: Union[torch.FloatTensor, PIL.Image.Image] = None,
         strength: float = 0.8,
         num_inference_steps: Optional[int] = 50,
         guidance_scale: Optional[float] = 7.5,