Merge pull request #14314 from gayshub/master

Add allow specify the task id and get the location of task in the queue of pending task

Author: AUTOMATIC1111

modules/api/api.py

@@ -31,7 +31,7 @@
 import piexif
 import piexif.helper
 from contextlib import closing
-
+from modules.progress import create_task_id, add_task_to_queue, start_task, finish_task, current_task
 
 def script_name_to_index(name, scripts):
     try:
@@ -336,6 +336,9 @@ def init_script_args(self, request, default_script_args, selectable_scripts, sel
         return script_args
 
     def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
+        task_id = create_task_id("text2img")
+        if txt2imgreq.force_task_id is None:
+            task_id = txt2imgreq.force_task_id
         script_runner = scripts.scripts_txt2img
         if not script_runner.scripts:
             script_runner.initialize_scripts(False)
@@ -362,6 +365,8 @@ def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
         send_images = args.pop('send_images', True)
         args.pop('save_images', None)
 
+        add_task_to_queue(task_id)
+
         with self.queue_lock:
             with closing(StableDiffusionProcessingTxt2Img(sd_model=shared.sd_model, **args)) as p:
                 p.is_api = True
@@ -371,12 +376,14 @@ def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
 
                 try:
                     shared.state.begin(job="scripts_txt2img")
+                    start_task(task_id)
                     if selectable_scripts is not 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)
+                    finish_task(task_id)
                 finally:
                     shared.state.end()
                     shared.total_tqdm.clear()
@@ -386,6 +393,10 @@ def text2imgapi(self, txt2imgreq: models.StableDiffusionTxt2ImgProcessingAPI):
         return models.TextToImageResponse(images=b64images, parameters=vars(txt2imgreq), info=processed.js())
 
     def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
+        task_id = create_task_id("img2img")
+        if img2imgreq.force_task_id is None:
+            task_id = img2imgreq.force_task_id
+
         init_images = img2imgreq.init_images
         if init_images is None:
             raise HTTPException(status_code=404, detail="Init image not found")
@@ -422,6 +433,8 @@ def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
         send_images = args.pop('send_images', True)
         args.pop('save_images', None)
 
+        add_task_to_queue(task_id)
+
         with self.queue_lock:
             with closing(StableDiffusionProcessingImg2Img(sd_model=shared.sd_model, **args)) as p:
                 p.init_images = [decode_base64_to_image(x) for x in init_images]
@@ -432,12 +445,14 @@ def img2imgapi(self, img2imgreq: models.StableDiffusionImg2ImgProcessingAPI):
 
                 try:
                     shared.state.begin(job="scripts_img2img")
+                    start_task(task_id)
                     if selectable_scripts is not 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)
+                    finish_task(task_id)
                 finally:
                     shared.state.end()
                     shared.total_tqdm.clear()
@@ -511,7 +526,7 @@ def progressapi(self, req: models.ProgressRequest = Depends()):
         if shared.state.current_image and not req.skip_current_image:
             current_image = encode_pil_to_base64(shared.state.current_image)
 
-        return models.ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict(), current_image=current_image, textinfo=shared.state.textinfo)
+        return models.ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict(), current_image=current_image, textinfo=shared.state.textinfo, current_task=current_task)
 
     def interrogateapi(self, interrogatereq: models.InterrogateRequest):
         image_b64 = interrogatereq.image

modules/api/models.py

@@ -107,6 +107,7 @@ def generate_model(self):
         {"key": "send_images", "type": bool, "default": True},
         {"key": "save_images", "type": bool, "default": False},
         {"key": "alwayson_scripts", "type": dict, "default": {}},
+        {"key": "force_task_id", "type": str, "default": None},
     ]
 ).generate_model()
 
@@ -124,6 +125,7 @@ def generate_model(self):
         {"key": "send_images", "type": bool, "default": True},
         {"key": "save_images", "type": bool, "default": False},
         {"key": "alwayson_scripts", "type": dict, "default": {}},
+        {"key": "force_task_id", "type": str, "default": None},
     ]
 ).generate_model()
 

modules/processing.py

@@ -1060,6 +1060,7 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
     hr_sampler_name: str = None
     hr_prompt: str = ''
     hr_negative_prompt: str = ''
+    force_task_id: str = None
 
     cached_hr_uc = [None, None]
     cached_hr_c = [None, None]
@@ -1393,6 +1394,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
     inpainting_mask_invert: int = 0
     initial_noise_multiplier: float = None
     latent_mask: Image = None
+    force_task_id: str = None
 
     image_mask: Any = field(default=None, init=False)
 

modules/progress.py

@@ -8,10 +8,13 @@
 from modules.shared import opts
 
 import modules.shared as shared
-
+from collections import OrderedDict
+import string
+import random
+from typing import List
 
 current_task = None
-pending_tasks = {}
+pending_tasks = OrderedDict()
 finished_tasks = []
 recorded_results = []
 recorded_results_limit = 2
@@ -34,6 +37,11 @@ def finish_task(id_task):
     if len(finished_tasks) > 16:
         finished_tasks.pop(0)
 
+def create_task_id(task_type):
+    N = 7
+    res = ''.join(random.choices(string.ascii_uppercase +
+    string.digits, k=N))
+    return f"task({task_type}-{res})"
 
 def record_results(id_task, res):
     recorded_results.append((id_task, res))
@@ -44,6 +52,9 @@ def record_results(id_task, res):
 def add_task_to_queue(id_job):
     pending_tasks[id_job] = time.time()
 
+class PendingTasksResponse(BaseModel):
+    size: int = Field(title="Pending task size")
+    tasks: List[str] = Field(title="Pending task ids")
 
 class ProgressRequest(BaseModel):
     id_task: str = Field(default=None, title="Task ID", description="id of the task to get progress for")
@@ -63,8 +74,14 @@ class ProgressResponse(BaseModel):
 
 
 def setup_progress_api(app):
+    app.add_api_route("/internal/pendingTasks", get_pending_tasks, methods=["GET"])
     return app.add_api_route("/internal/progress", progressapi, methods=["POST"], response_model=ProgressResponse)
 
+def get_pending_tasks():
+    pending_tasks_ids = list(pending_tasks)
+    pending_len = len(pending_tasks_ids)
+    return PendingTasksResponse(size=pending_len, tasks=pending_tasks_ids)
+
 
 def progressapi(req: ProgressRequest):
     active = req.id_task == current_task