Commit 3531a500 authored by AUTOMATIC's avatar AUTOMATIC
Browse files

rename fields for API for saving/sending images

save images to correct directories
parent bb3ecc32
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+17 −24
Original line number Diff line number Diff line
@@ -180,27 +180,25 @@ class Api:

        populate = txt2imgreq.copy(update={  # Override __init__ params
            "sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
            "do_not_save_samples": txt2imgreq.do_not_save,
            "do_not_save_grid": txt2imgreq.do_not_save,
            }
        )
            "do_not_save_samples": not txt2imgreq.save_images,
            "do_not_save_grid": not txt2imgreq.save_images,
        })
        if populate.sampler_name:
            populate.sampler_index = None  # prevent a warning later on

        args = vars(populate)
        args.pop('script_name', None)

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

        with self.queue_lock:
            p = StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)
            p.outpath_grids = opts.outdir_txt2img_grids
            p.outpath_samples = opts.outdir_txt2img_samples

            shared.state.begin()
            if script is not None:
                p.outpath_grids = opts.outdir_txt2img_grids
                p.outpath_samples = opts.outdir_txt2img_samples
                p.script_args = [script_idx + 1] + [None] * (script.args_from - 1) + p.script_args
                processed = scripts.scripts_txt2img.run(p, *p.script_args)
            else:
@@ -224,11 +222,10 @@ class Api:

        populate = img2imgreq.copy(update={  # Override __init__ params
            "sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
            "do_not_save_samples": img2imgreq.do_not_save,
            "do_not_save_grid": img2imgreq.do_not_save,
            "mask": mask
            }
        )
            "do_not_save_samples": not img2imgreq.save_images,
            "do_not_save_grid": not img2imgreq.save_images,
            "mask": mask,
        })
        if populate.sampler_name:
            populate.sampler_index = None  # prevent a warning later on

@@ -236,21 +233,17 @@ 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' in args else not args['do_not_send']
        args.pop('do_not_send', None)
        args.pop('do_not_save', 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)
        send_images = args.pop('send_images', True)
        args.pop('save_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]
            p.outpath_grids = opts.outdir_img2img_grids
            p.outpath_samples = opts.outdir_img2img_samples

            shared.state.begin()
            if script is not None:
                p.outpath_grids = opts.outdir_img2img_grids
                p.outpath_samples = opts.outdir_img2img_samples
                p.script_args = [script_idx + 1] + [None] * (script.args_from - 1) + p.script_args
                processed = scripts.scripts_img2img.run(p, *p.script_args)
            else:
+4 −4
Original line number Diff line number Diff line
@@ -104,8 +104,8 @@ StableDiffusionTxt2ImgProcessingAPI = PydanticModelGenerator(
        {"key": "sampler_index", "type": str, "default": "Euler"},
        {"key": "script_name", "type": str, "default": None},
        {"key": "script_args", "type": list, "default": []},
        {"key": "do_not_send", "type": bool, "default": False},
        {"key": "do_not_save", "type": bool, "default": True}
        {"key": "send_images", "type": bool, "default": True},
        {"key": "save_images", "type": bool, "default": False},
    ]
).generate_model()

@@ -120,8 +120,8 @@ StableDiffusionImg2ImgProcessingAPI = PydanticModelGenerator(
        {"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", "type": bool, "default": False},
        {"key": "do_not_save", "type": bool, "default": True}
        {"key": "send_images", "type": bool, "default": True},
        {"key": "save_images", "type": bool, "default": False},
    ]
).generate_model()

+0 −3
Original line number Diff line number Diff line
@@ -489,9 +489,6 @@ def save_image(image, path, basename, seed=None, prompt=None, extension='png', i
    """
    namegen = FilenameGenerator(p, seed, prompt, image)

    if path is None: # set default path to avoid errors when functions are triggered manually or via api and param is not set
        path = opts.outdir_save

    if save_to_dirs is None:
        save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)