Static workflow

core/dispatch.py

@@ -39,12 +39,22 @@ def clear_remote_queue(remote_url):
 
 def get_remote_os(remote_url):
 	url = f"{remote_url}/system_stats"
-	r = requests.get(url)
+	r = requests.get(url, timeout=4)
 	r.raise_for_status()
 	data = r.json()
 	return data["system"]["os"]
 
-def dispatch_to_remote(remote_url, prompt, job_id=f"{get_client_id()}-unknown"):
+def get_output_nodes(remote_url):
+	# I'm 90% sure this could just use the
+	# list from the host but better safe than sorry
+	url = f"{remote_url}/object_info"
+	r = requests.get(url, timeout=4)
+	r.raise_for_status()
+	data = r.json()
+	out = [k for k, v in data.items() if v.get("output_node")]
+	return out
+
+def dispatch_to_remote(remote_url, prompt, job_id=f"{get_client_id()}-unknown", outputs="final_image"):
 	### PROMPT LOGIC ###
 	prompt = deepcopy(prompt)
 	to_del = []
@@ -78,6 +88,7 @@ def dispatch_to_remote(remote_url, prompt, job_id=f"{get_client_id()}-unknown"):
 			else:
 				prompt[i]["inputs"]["enabled"] = "false"
 
+	banned = [] if outputs == "any" else get_output_nodes(remote_url)
 	output = None
 	for i in prompt.keys():
 		# only leave current fetch but replace with PreviewImage
@@ -90,9 +101,10 @@ def dispatch_to_remote(remote_url, prompt, job_id=f"{get_client_id()}-unknown"):
 			recursive_node_deletion(i)
 		# do not save output on remote
 		# todo: other output types
-		if prompt[i]["class_type"] in ["SaveImage", "PreviewImage"]:
+		if prompt[i]["class_type"] in banned:
 			recursive_node_deletion(i)
-	prompt[str(max([int(x) for x in prompt.keys()])+1)] = output
+	if output:
+		prompt[str(max([int(x) for x in prompt.keys()])+1)] = output
 	for i in to_del: del prompt[i]
 
 	### OS LOGIC ###

core/fetch.py

@@ -23,7 +23,11 @@ def wait_for_job(remote_url, job_id):
 			continue
 		for i,d in data.items():
 			if d["prompt"][3].get("job_id") == job_id:
-				return d["outputs"][list(d["outputs"].keys())[-1]].get("images")
+				# this needs to be less jank
+				if len(d["outputs"].keys()) > 0:
+					return d["outputs"][list(d["outputs"].keys())[-1]].get("images")
+				else:
+					return []
 		# todo: check if it's actually in the queue to avoid waiting forever
 		time.sleep(POLLING)
 	raise OSError("Failed to fetch image from remote client!")

nodes/advanced.py

@@ -75,6 +75,7 @@ class RemoteQueueWorker:
 				}),
 				"batch_override": ("INT", {"default": 0, "min": 0, "max": 8}),
 				"enabled": (["true", "false", "remote"],{"default": "true"}),
+				"outputs": (["final_image", "any"],{"default":"final_image"}),
 			}
 		}
 
@@ -84,7 +85,7 @@ class RemoteQueueWorker:
 	CATEGORY = "remote/advanced"
 	TITLE = "Queue on remote (worker)"
 
-	def queue(self, remote_chain, remote_url, batch_override, enabled):
+	def queue(self, remote_chain, remote_url, batch_override, enabled, outputs):
 		current_offset = remote_chain["seed_offset"]
 		remote_chain["seed_offset"] += 1 if batch_override == 0 else batch_override
 		if enabled == "false":
@@ -101,7 +102,8 @@ class RemoteQueueWorker:
 		dispatch_to_remote(
 			remote_url,
 			remote_chain["prompt"],
-			remote_chain["job_id"]
+			remote_chain["job_id"],
+			outputs,
 		)
 		remote_info = {
 			"remote_url" : remote_url,

nodes/workflows.py

@@ -53,7 +53,7 @@ class LoadDiskWorkflowJSON:
 	TITLE = "Load workflow (disk)"
 
 	def load_workflow(self, workflow):
-		json_path = folder_paths.get_annotated_filepath(cond)
+		json_path = folder_paths.get_annotated_filepath(workflow)
 		with open(json_path) as f:
 			data = json.loads(f.read())
 		return (data,)