non-implemented mask with any type

This commit is contained in:
Stephen 2022-10-22 15:42:00 -04:00 committed by AUTOMATIC1111
parent a7c213d0f5
commit 9e1a8b7734
3 changed files with 6 additions and 2 deletions

View File

@ -72,6 +72,10 @@ class Api:
if init_images is None: if init_images is None:
raise HTTPException(status_code=404, detail="Init image not found") raise HTTPException(status_code=404, detail="Init image not found")
mask = img2imgreq.mask
if mask:
raise HTTPException(status_code=400, detail="Mask not supported yet")
populate = img2imgreq.copy(update={ # Override __init__ params populate = img2imgreq.copy(update={ # Override __init__ params
"sd_model": shared.sd_model, "sd_model": shared.sd_model,

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@ -102,5 +102,5 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator( StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
"StableDiffusionProcessingImg2Img", "StableDiffusionProcessingImg2Img",
StableDiffusionProcessingImg2Img, StableDiffusionProcessingImg2Img,
[{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}] [{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "init_images", "type": list, "default": None}, {"key": "denoising_strength", "type": float, "default": 0.75}, {"key": "mask", "type": str, "default": None}]
).generate_model() ).generate_model()

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@ -623,7 +623,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
class StableDiffusionProcessingImg2Img(StableDiffusionProcessing): class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
sampler = None sampler = None
def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: str=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs): def __init__(self, init_images: list=None, resize_mode: int=0, denoising_strength: float=0.75, mask: Any=None, mask_blur: int=4, inpainting_fill: int=0, inpaint_full_res: bool=True, inpaint_full_res_padding: int=0, inpainting_mask_invert: int=0, **kwargs):
super().__init__(**kwargs) super().__init__(**kwargs)
self.init_images = init_images self.init_images = init_images