Initial refractor
This commit is contained in:
+5
-1
@@ -4,12 +4,16 @@ NODE_DISPLAY_NAME_MAPPINGS = {}
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def remote_control():
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global NODE_CLASS_MAPPINGS
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global NODE_DISPLAY_NAME_MAPPINGS
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from .nodes.remote_control import QueueRemote, FetchRemote
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from .nodes.remote_control import QueueRemoteChainStart, QueueRemoteChainEnd, QueueRemote, FetchRemote
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NODE_CLASS_MAPPINGS.update({
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"QueueRemoteChainStart": QueueRemoteChainStart,
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"QueueRemoteChainEnd": QueueRemoteChainEnd,
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"QueueRemote": QueueRemote,
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"FetchRemote": FetchRemote,
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})
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NODE_DISPLAY_NAME_MAPPINGS.update({
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"QueueRemoteChainStart": "Queue on remote (start of chain)",
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"QueueRemoteChainEnd": "Queue on remote (end of chain)",
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"QueueRemote": "Queue on remote",
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"FetchRemote": "Fetch from remote",
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})
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+132
-63
@@ -7,22 +7,17 @@ import numpy as np
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from PIL import Image
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from copy import deepcopy
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def img_to_torch(img):
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image = img.convert("RGB")
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image = np.array(image).astype(np.float32) / 255.0
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image = torch.from_numpy(image)[None,]
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return image
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class FetchRemote():
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"final_image": ("IMAGE",),
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"remote_info": ("REMOTE",),
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"remote_info": ("REMINFO",),
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},
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}
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@@ -32,7 +27,7 @@ class FetchRemote():
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def wait_for_job(self,remote_url,job_id):
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url = remote_url + "history"
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image_data = None
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while not image_data:
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r = requests.get(url)
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@@ -49,6 +44,15 @@ class FetchRemote():
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# remote_info can be none, but the node shouldn't exist at that point
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def get_remote_job(self, final_image, remote_info):
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def img_to_torch(img):
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image = img.convert("RGB")
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image = np.array(image).astype(np.float32) / 255.0
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image = torch.from_numpy(image)[None,]
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return image
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if not remote_info["remote_url"] or not remote_info["job_id"]:
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return (torch.empty(0,0,0,0),)
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images = []
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for i in self.wait_for_job(remote_info["remote_url"],remote_info["job_id"]):
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img_url = f"{remote_info['remote_url']}view?filename={i['filename']}&subfolder={i['subfolder']}&type={i['type']}"
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@@ -68,6 +72,75 @@ class FetchRemote():
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return (out,)
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class QueueRemoteChainStart:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"workflow": (["current"],),
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"trigger": (["on_change", "always"],),
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"batch": ("INT", {"default": 1, "min": 1, "max": 8}),
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"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
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},
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"hidden": {
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"prompt": "PROMPT",
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},
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}
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RETURN_TYPES = ("REMCHAIN",)
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RETURN_NAMES = ("remote_chain_start",)
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FUNCTION = "chain_start"
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CATEGORY = "remote"
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def chain_start(self, workflow, trigger, batch, seed, prompt):
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remote_chain = {
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"seed": seed+batch,
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"batch": batch,
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"prompt": prompt,
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"current_seed": seed+batch,
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"current_batch": batch,
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"job_id": f"netdist-{time.time()}"
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}
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return(remote_chain,)
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@classmethod
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def IS_CHANGED(self, workflow, trigger, batch, seed, prompt):
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# don't trigger on workflow change, only input change
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uuid = f"W:{workflow},B:{batch},S:{seed}"
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return uuid if trigger == "on_change" else str(time.time())
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class QueueRemoteChainEnd:
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def __init__(self):
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pass
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"remote_chain_end": ("REMCHAIN",)
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}
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}
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RETURN_TYPES = ("INT", "INT")
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RETURN_NAMES = ("seed", "batch")
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FUNCTION = "chain_end"
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CATEGORY = "remote"
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def chain_end(self, remote_chain_end):
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seed = remote_chain_end["current_seed"]
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batch = remote_chain_end["current_batch"]
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print("###########REMQ",seed,batch)
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return(seed,batch)
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# @classmethod
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# def IS_CHANGED(self, remote_chain_end):
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# uid = f"S:{remote_chain_end['seed']}-B:{remote_chain_end['batch']}"
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# return uid
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class QueueRemote:
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def __init__(self):
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pass
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@@ -75,46 +148,42 @@ class QueueRemote:
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def INPUT_TYPES(s):
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return {
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"required": {
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"remote_chain": ("REMCHAIN",),
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"remote_url": ("STRING", {
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"multiline": False,
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"default": "http://127.0.0.1:8188/",
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"default": "http://127.0.0.1:8288/",
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}),
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"seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
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"batch_override": ("INT", {"default": 0, "min": 0, "max": 8}),
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"system": (["windows", "posix"],),
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"batch_override": ("INT", {"default": 0, "min": 0, "max": 8}),
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"enabled": (["true", "false", "remote"],{"default": "true"}),
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"node_id": ("INT", {"default": 1, "min": 1, "max": 64}),
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},
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"hidden": {
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"prompt": "PROMPT",
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},
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}
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}
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RETURN_TYPES = ("INT","REMOTE")
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RETURN_NAMES = ("seed+batch","remote_info")
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RETURN_TYPES = ("REMCHAIN", "REMINFO")
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RETURN_NAMES = ("remote_chain", "remote_info")
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FUNCTION = "queue_on_remote"
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CATEGORY = "remote"
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def queue_on_remote(self, remote_url, seed, batch_override, system, enabled, node_id, prompt):
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def get_max_batch_size(prompt):
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bs = 1
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for node in prompt.keys():
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if prompt[node]["class_type"] == "EmptyLatentImage":
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for k,v in prompt[node]["inputs"].items():
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if k == "batch_size":
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if batch_override > 0:
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bs = batch_override
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prompt[node]["inputs"]["batch_size"] = batch_override
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else:
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bs = max(bs,int(v))
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return bs
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def queue_on_remote(self, remote_chain, remote_url, system, batch_override, enabled):
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batch = batch_override if batch_override > 0 else remote_chain["batch"]
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remote_chain["seed"] += batch
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remote_info = { # empty
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"remote_url": None,
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"job_id": None,
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}
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if enabled == "false":
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return (seed,{"remote_url":None,"job_id":None,})
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return(remote_chain, remote_info)
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elif enabled == "remote":
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return (seed+node_id*get_max_batch_size(prompt),{"remote_url":None,"job_id":None,})
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remote_chain["current_seed"] = remote_chain["seed"] # hasn't run yet
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remote_chain["current_batch"] = batch
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# print(remote_chain)
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return(remote_chain, remote_info) #
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else:
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remote_info["remote_url"] = remote_url
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remote_info["job_id"] = remote_chain["job_id"]
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new_prompt = deepcopy(prompt)
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prompt = deepcopy(remote_chain["prompt"])
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to_del = []
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def recursive_node_deletion(start_node):
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target_nodes = [start_node]
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@@ -123,8 +192,8 @@ class QueueRemote:
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while len(target_nodes) > 0:
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new_targets = []
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for target in target_nodes:
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for node in new_prompt.keys():
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inputs = new_prompt[node].get("inputs")
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for node in prompt.keys():
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inputs = prompt[node].get("inputs")
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if not inputs:
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continue
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for i in inputs.values():
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@@ -135,50 +204,50 @@ class QueueRemote:
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new_targets.append(node)
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target_nodes += new_targets
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target_nodes.remove(target)
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# find current node and disable all others
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output_src = None
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for i in new_prompt.keys():
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if new_prompt[i]["class_type"] == "QueueRemote":
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if new_prompt[i]["inputs"]["remote_url"] == remote_url:
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new_prompt[i]["inputs"]["enabled"] = "remote"
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for i in prompt.keys():
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if prompt[i]["class_type"] == "QueueRemote":
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if prompt[i]["inputs"]["remote_url"] == remote_url:
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prompt[i]["inputs"]["enabled"] = "remote"
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output_src = i
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else:
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new_prompt[i]["inputs"]["enabled"] = "false"
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prompt[i]["inputs"]["enabled"] = "false"
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output = None
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for i in new_prompt.keys():
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for i in prompt.keys():
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# only leave current fetch but replace with PreviewImage
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if new_prompt[i]["class_type"] == "FetchRemote":
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if new_prompt[i]["inputs"]["remote_info"][0] == output_src:
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if prompt[i]["class_type"] == "FetchRemote":
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if prompt[i]["inputs"]["remote_info"][0] == output_src:
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output = {
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'inputs': {'images': new_prompt[i]["inputs"]["final_image"]},
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'inputs': {'images': prompt[i]["inputs"]["final_image"]},
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'class_type': 'PreviewImage',
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}
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recursive_node_deletion(i)
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# do not save output on remote
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if new_prompt[i]["class_type"] in ["SaveImage","PreviewImage"]:
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if prompt[i]["class_type"] in ["SaveImage","PreviewImage"]:
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recursive_node_deletion(i)
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new_prompt[str(max([int(x) for x in new_prompt.keys()])+1)] = output
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prompt[str(max([int(x) for x in prompt.keys()])+1)] = output
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if system == "posix":
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for i in new_prompt.keys():
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if new_prompt[i]["class_type"] == "LoraLoader":
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new_prompt[i]["inputs"]["lora_name"] = new_prompt[i]["inputs"]["lora_name"].replace("\\","/")
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if new_prompt[i]["class_type"] == "VAELoader":
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new_prompt[i]["inputs"]["vae_name"] = new_prompt[i]["inputs"]["vae_name"].replace("\\","/")
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if new_prompt[i]["class_type"] in ["CheckpointLoader","CheckpointLoaderSimple"]:
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new_prompt[i]["inputs"]["ckpt_name"] = new_prompt[i]["inputs"]["ckpt_name"].replace("\\","/")
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for i in prompt.keys():
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if prompt[i]["class_type"] == "LoraLoader":
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prompt[i]["inputs"]["lora_name"] = prompt[i]["inputs"]["lora_name"].replace("\\","/")
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if prompt[i]["class_type"] == "VAELoader":
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prompt[i]["inputs"]["vae_name"] = prompt[i]["inputs"]["vae_name"].replace("\\","/")
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if prompt[i]["class_type"] in ["CheckpointLoader","CheckpointLoaderSimple"]:
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prompt[i]["inputs"]["ckpt_name"] = prompt[i]["inputs"]["ckpt_name"].replace("\\","/")
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for i in to_del:
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del new_prompt[i]
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del prompt[i]
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job_id = f"netdist-{time.time()}"
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data = {
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"prompt": new_prompt,
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"prompt": prompt,
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"client_id": "netdist",
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"extra_data": {
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"job_id": job_id,
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"job_id": remote_info["job_id"],
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}
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}
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ar = requests.post(remote_url+"prompt", json=data)
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ar.raise_for_status()
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return (seed,{"remote_url":remote_url,"job_id":job_id})
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return(remote_chain, remote_info)
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