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[StableDiffusionimg2img] validating input type #1913

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Merged
merged 6 commits into from
Jan 5, 2023
Merged

[StableDiffusionimg2img] validating input type #1913

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a0532d2
[StableDiffusionimg2img] validating input type
Shubhamai Jan 4, 2023
fb68791
fixing tests
Shubhamai Jan 4, 2023
43cea9b
running make style
Shubhamai Jan 4, 2023
1977af7
Merge branch 'main' into input-type-validation
Shubhamai Jan 4, 2023
585c107
make fix-copies
Shubhamai Jan 5, 2023
803d707
Merge branch 'main' into input-type-validation
Shubhamai Jan 5, 2023
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5 changes: 5 additions & 0 deletions src/diffusers/pipelines/alt_diffusion/pipeline_alt_diffusion_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -424,6 +424,11 @@ def get_timesteps(self, num_inference_steps, strength, device):
return timesteps, num_inference_steps - t_start

def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dtype, device, generator=None):
if not isinstance(image, (torch.Tensor, PIL.Image.Image, list)):
raise ValueError(
f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
)

image = image.to(device=device, dtype=dtype)

batch_size = batch_size * num_images_per_prompt
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5 changes: 5 additions & 0 deletions src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_depth2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -343,6 +343,11 @@ def get_timesteps(self, num_inference_steps, strength, device):

# Copied from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_img2img.StableDiffusionImg2ImgPipeline.prepare_latents
def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dtype, device, generator=None):
if not isinstance(image, (torch.Tensor, PIL.Image.Image, list)):
raise ValueError(
f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
)

image = image.to(device=device, dtype=dtype)

batch_size = batch_size * num_images_per_prompt
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5 changes: 5 additions & 0 deletions src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_img2img.py
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Original file line number Diff line number Diff line change
Expand Up @@ -434,6 +434,11 @@ def get_timesteps(self, num_inference_steps, strength, device):
return timesteps, num_inference_steps - t_start

def prepare_latents(self, image, timestep, batch_size, num_images_per_prompt, dtype, device, generator=None):
if not isinstance(image, (torch.Tensor, PIL.Image.Image, list)):
raise ValueError(
f"`image` has to be of type `torch.Tensor`, `PIL.Image.Image` or list but is {type(image)}"
)

image = image.to(device=device, dtype=dtype)

batch_size = batch_size * num_images_per_prompt
Expand Down