allow api requests to specify do not send images in response (f8e219ba) · Commits · github_fork / Stable Diffusion Webui

modules/api/api.py

+8 −2

Original line number	Diff line number	Diff line
		@@ -190,6 +190,9 @@ class Api:
		args = vars(populate)
		args.pop('script_name', None)

		send_images = True if not 'do_not_send_images' in args else not args['do_not_send_images']
		args.pop('do_not_send_images', None)

		with self.queue_lock:
		p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)

		@@ -203,7 +206,7 @@ class Api:
		processed = process_images(p)
		shared.state.end()

		b64images = list(map(encode_pil_to_base64, processed.images))
		b64images = list(map(encode_pil_to_base64, processed.images)) if send_images else []

		return TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.js())

		@@ -232,6 +235,9 @@ class Api:
		args.pop('include_init_images', None) # this is meant to be done by "exclude": True in model, but it's for a reason that I cannot determine.
		args.pop('script_name', None)

		send_images = True if not 'do_not_send_images' in args else not args['do_not_send_images']
		args.pop('do_not_send_images', None)

		with self.queue_lock:
		p = StableDiffusionProcessingImg2Img(sd_model=shared.sd_model, **args)
		p.init_images = [decode_base64_to_image(x) for x in init_images]
		@@ -246,7 +252,7 @@ class Api:
		processed = process_images(p)
		shared.state.end()

		b64images = list(map(encode_pil_to_base64, processed.images))
		b64images = list(map(encode_pil_to_base64, processed.images)) if send_images else []

		if not img2imgreq.include_init_images:
		img2imgreq.init_images = None

modules/api/models.py

+16 −2

Original line number	Diff line number	Diff line
		@@ -100,13 +100,27 @@ class PydanticModelGenerator:
		StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
		"StableDiffusionProcessingTxt2Img",
		StableDiffusionProcessingTxt2Img,
		[{"key": "sampler_index", "type": str, "default": "Euler"}, {"key": "script_name", "type": str, "default": None}, {"key": "script_args", "type": list, "default": []}]
		[
		{"key": "sampler_index", "type": str, "default": "Euler"},
		{"key": "script_name", "type": str, "default": None},
		{"key": "script_args", "type": list, "default": []},
		{"key": "do_not_send_images", "type": bool, "default": False}
		]
		).generate_model()

		StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
		"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": "mask", "type": str, "default": None}, {"key": "include_init_images", "type": bool, "default": False, "exclude" : True}, {"key": "script_name", "type": str, "default": None}, {"key": "script_args", "type": list, "default": []}]
		[
		{"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},
		{"key": "include_init_images", "type": bool, "default": False, "exclude" : True},
		{"key": "script_name", "type": str, "default": None},
		{"key": "script_args", "type": list, "default": []},
		{"key": "do_not_send_images", "type": bool, "default": False}
		]
		).generate_model()

		class TextToImageResponse(BaseModel):

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