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-rw-r--r--modules/api/api.py128
1 files changed, 96 insertions, 32 deletions
diff --git a/modules/api/api.py b/modules/api/api.py
index 5a9ac5f1..35e17afc 100644
--- a/modules/api/api.py
+++ b/modules/api/api.py
@@ -150,6 +150,7 @@ class Api:
self.add_api_route("/sdapi/v1/train/embedding", self.train_embedding, methods=["POST"], response_model=TrainResponse)
self.add_api_route("/sdapi/v1/train/hypernetwork", self.train_hypernetwork, methods=["POST"], response_model=TrainResponse)
self.add_api_route("/sdapi/v1/memory", self.get_memory, methods=["GET"], response_model=MemoryResponse)
+ self.add_api_route("/sdapi/v1/scripts", self.get_scripts_list, methods=["GET"], response_model=ScriptsList)
def add_api_route(self, path: str, endpoint, **kwargs):
if shared.cmd_opts.api_auth:
@@ -163,47 +164,98 @@ class Api:
raise HTTPException(status_code=401, detail="Incorrect username or password", headers={"WWW-Authenticate": "Basic"})
- def get_script(self, script_name, script_runner):
- if script_name is None:
+ def get_selectable_script(self, script_name, script_runner):
+ if script_name is None or script_name == "":
return None, None
- if not script_runner.scripts:
- script_runner.initialize_scripts(False)
- ui.create_ui()
-
script_idx = script_name_to_index(script_name, script_runner.selectable_scripts)
script = script_runner.selectable_scripts[script_idx]
return script, script_idx
+
+ def get_scripts_list(self):
+ t2ilist = [str(title.lower()) for title in scripts.scripts_txt2img.titles]
+ i2ilist = [str(title.lower()) for title in scripts.scripts_img2img.titles]
+
+ return ScriptsList(txt2img = t2ilist, img2img = i2ilist)
+
+ def get_script(self, script_name, script_runner):
+ if script_name is None or script_name == "":
+ return None, None
+
+ script_idx = script_name_to_index(script_name, script_runner.scripts)
+ return script_runner.scripts[script_idx]
+
+ def init_script_args(self, request, selectable_scripts, selectable_idx, script_runner):
+ #find max idx from the scripts in runner and generate a none array to init script_args
+ last_arg_index = 1
+ for script in script_runner.scripts:
+ if last_arg_index < script.args_to:
+ last_arg_index = script.args_to
+ # None everywhere except position 0 to initialize script args
+ script_args = [None]*last_arg_index
+ # position 0 in script_arg is the idx+1 of the selectable script that is going to be run when using scripts.scripts_*2img.run()
+ if selectable_scripts:
+ script_args[selectable_scripts.args_from:selectable_scripts.args_to] = request.script_args
+ script_args[0] = selectable_idx + 1
+ else:
+ # when [0] = 0 no selectable script to run
+ script_args[0] = 0
+
+ # Now check for always on scripts
+ if request.alwayson_scripts and (len(request.alwayson_scripts) > 0):
+ for alwayson_script_name in request.alwayson_scripts.keys():
+ alwayson_script = self.get_script(alwayson_script_name, script_runner)
+ if alwayson_script == None:
+ raise HTTPException(status_code=422, detail=f"always on script {alwayson_script_name} not found")
+ # Selectable script in always on script param check
+ if alwayson_script.alwayson == False:
+ raise HTTPException(status_code=422, detail=f"Cannot have a selectable script in the always on scripts params")
+ # always on script with no arg should always run so you don't really need to add them to the requests
+ if "args" in request.alwayson_scripts[alwayson_script_name]:
+ script_args[alwayson_script.args_from:alwayson_script.args_to] = request.alwayson_scripts[alwayson_script_name]["args"]
+ return script_args
def text2imgapi(self, txt2imgreq: StableDiffusionTxt2ImgProcessingAPI):
- script, script_idx = self.get_script(txt2imgreq.script_name, scripts.scripts_txt2img)
+ script_runner = scripts.scripts_txt2img
+ if not script_runner.scripts:
+ script_runner.initialize_scripts(False)
+ ui.create_ui()
+ selectable_scripts, selectable_script_idx = self.get_selectable_script(txt2imgreq.script_name, script_runner)
- populate = txt2imgreq.copy(update={ # Override __init__ params
+ populate = txt2imgreq.copy(update={ # Override __init__ params
"sampler_name": validate_sampler_name(txt2imgreq.sampler_name or txt2imgreq.sampler_index),
- "do_not_save_samples": True,
- "do_not_save_grid": True
- }
- )
+ "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)
+ args.pop('script_args', None) # will refeed them to the pipeline directly after initializing them
+ args.pop('alwayson_scripts', None)
+
+ script_args = self.init_script_args(txt2imgreq, selectable_scripts, selectable_script_idx, script_runner)
+
+ 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.scripts = script_runner
+ 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)
+ if selectable_scripts != None:
+ p.script_args = script_args
+ processed = scripts.scripts_txt2img.run(p, *p.script_args) # Need to pass args as list here
else:
+ p.script_args = tuple(script_args) # Need to pass args as tuple here
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())
@@ -212,41 +264,53 @@ class Api:
if init_images is None:
raise HTTPException(status_code=404, detail="Init image not found")
- script, script_idx = self.get_script(img2imgreq.script_name, scripts.scripts_img2img)
-
mask = img2imgreq.mask
if mask:
mask = decode_base64_to_image(mask)
- populate = img2imgreq.copy(update={ # Override __init__ params
+ script_runner = scripts.scripts_img2img
+ if not script_runner.scripts:
+ script_runner.initialize_scripts(True)
+ ui.create_ui()
+ selectable_scripts, selectable_script_idx = self.get_selectable_script(img2imgreq.script_name, script_runner)
+
+ populate = img2imgreq.copy(update={ # Override __init__ params
"sampler_name": validate_sampler_name(img2imgreq.sampler_name or img2imgreq.sampler_index),
- "do_not_save_samples": True,
- "do_not_save_grid": True,
- "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
args = vars(populate)
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)
+ args.pop('script_args', None) # will refeed them to the pipeline directly after initializing them
+ args.pop('alwayson_scripts', None)
+
+ script_args = self.init_script_args(img2imgreq, selectable_scripts, selectable_script_idx, script_runner)
+
+ 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.scripts = script_runner
+ 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)
+ if selectable_scripts != None:
+ p.script_args = script_args
+ processed = scripts.scripts_img2img.run(p, *p.script_args) # Need to pass args as list here
else:
+ p.script_args = tuple(script_args) # Need to pass args as tuple here
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