diff options
| -rw-r--r-- | modules/api/api.py | 10 | ||||
| -rw-r--r-- | modules/api/models.py | 18 |
2 files changed, 24 insertions, 4 deletions
diff --git a/modules/api/api.py b/modules/api/api.py index 6b939daa..7da9081b 100644 --- a/modules/api/api.py +++ b/modules/api/api.py @@ -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 diff --git a/modules/api/models.py b/modules/api/models.py index a947e6ac..aa4ea5d5 100644 --- a/modules/api/models.py +++ b/modules/api/models.py @@ -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): |