Use PyWorker SDK (#67)
* Change PyWorker to Worker SDK * Moved /lib to vast-sdk (https://github.com/vast-ai/vast-sdk)
This commit is contained in:
LucasArmandVast
@@ -2,7 +2,7 @@
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This is the base PyWorker for ComfyUI. It provides a unified interface for running any ComfyUI workflow through a proxy-based architecture. See the [Serverless documentation](https://docs.vast.ai/serverless) for guides and how-to's.
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The cost for each request has a static value of `1`. ComfyUI does not handle concurrent workloads and there is no current provision to load multiple instances of ComfyUI per worker node.
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The cost for each request has a static value of `100`. ComfyUI does not handle concurrent workloads and there is no current provision to load multiple instances of ComfyUI per worker node.
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## Instance Setup
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@@ -302,3 +302,11 @@ WEBHOOK_TIMEOUT=30 # Webhook timeout in seconds
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}
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}
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```
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## Client Libraries
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See the client example for implementation details on how to integrate with the ComfyUI worker.
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---
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See Vast's serverless documentation for more details on how to use ComfyUI with autoscaler.
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@@ -1,84 +0,0 @@
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import os
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import sys
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import random
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import dataclasses
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from typing import Dict, Any
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from functools import cache
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from math import ceil
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from pathlib import Path
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import json
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import logging
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from lib.data_types import ApiPayload, JsonDataException
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log = logging.getLogger(__file__)
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def count_workload() -> float:
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# Always 100.0 where there is a single instance of ComfyUI handling requests
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# Results will indicate % or a job completed per second. Avoids sub 0.1 sec performance indication
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return 100.0
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@dataclasses.dataclass
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class ComfyWorkflowData(ApiPayload):
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input: dict
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@classmethod
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def for_test(cls):
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"""
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If the user has provided a benchmark workflow we can use it here to properly gauge performance.
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Otherwise, use the variables available to simulate workflows of the required running time
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Example: SD1.5, simple image gen 10000 steps, 512px x 512px will run for approximately 9 minutes @ ~18 it/s (RTX 4090)
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"""
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# Try to load benchmark.json
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benchmark_file = Path("workers/comfyui-json/misc/benchmark.json")
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if benchmark_file.exists():
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try:
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with open(benchmark_file, "r") as f:
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benchmark_workflow = json.load(f)
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return cls(
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input={
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"request_id": f"test-{random.randint(1000, 99999)}",
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"workflow_json": benchmark_workflow
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}
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)
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except (json.JSONDecodeError, IOError):
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# JSON is malformed or file can't be read, fall through to default
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log.error(f"Failed to benchmark using {benchmark_file}")
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# Fallback: read prompts and construct payload
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log.info("Using fallback method for benchmarking")
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with open("workers/comfyui-json/misc/test_prompts.txt", "r") as f:
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test_prompts = f.readlines()
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test_prompt = random.choice(test_prompts).rstrip()
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return cls(
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input={
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"request_id": f"test-{random.randint(1000, 99999)}",
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"modifier": "Text2Image",
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"modifications": {
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"prompt": test_prompt,
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"width": os.getenv('BENCHMARK_TEST_WIDTH', 512),
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"height": os.getenv('BENCHMARK_TEST_HEIGHT', 512),
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"steps": os.getenv('BENCHMARK_TEST_STEPS', 20),
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"seed": random.randint(0, sys.maxsize),
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}
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}
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)
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def generate_payload_json(self) -> Dict[str, Any]:
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# input is already a dict, just return it wrapped in the expected structure
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return {"input": self.input}
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def count_workload(self) -> float:
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return count_workload()
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@classmethod
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def from_json_msg(cls, json_msg: Dict[str, Any]) -> "ComfyWorkflowData":
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# Extract required fields
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if "input" not in json_msg:
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raise JsonDataException({"input": "missing parameter"})
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return cls(
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input=json_msg["input"]
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)
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@@ -1,107 +0,0 @@
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{
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"3": {
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"inputs": {
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"seed": "__RANDOM_INT__",
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"steps": 20,
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"cfg": 8,
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"sampler_name": "euler",
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"scheduler": "normal",
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"denoise": 1,
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"model": [
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"4",
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0
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],
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"positive": [
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"6",
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0
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],
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"negative": [
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"7",
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0
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],
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"latent_image": [
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"5",
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0
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]
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},
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"class_type": "KSampler",
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"_meta": {
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"title": "KSampler"
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}
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},
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"4": {
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"inputs": {
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"ckpt_name": "v1-5-pruned-emaonly-fp16.safetensors"
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},
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"class_type": "CheckpointLoaderSimple",
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"_meta": {
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"title": "Load Checkpoint"
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}
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},
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"5": {
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"inputs": {
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"width": 512,
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"height": 512,
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"batch_size": 1
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},
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"class_type": "EmptyLatentImage",
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"_meta": {
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"title": "Empty Latent Image"
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}
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},
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"6": {
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"inputs": {
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"text": "beautiful scenery nature glass bottle landscape, , purple galaxy bottle,",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Prompt)"
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}
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},
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"7": {
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"inputs": {
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"text": "text, watermark",
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"clip": [
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"4",
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1
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]
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},
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"class_type": "CLIPTextEncode",
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"_meta": {
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"title": "CLIP Text Encode (Prompt)"
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}
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},
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"8": {
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"inputs": {
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"samples": [
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"3",
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0
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],
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"vae": [
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"4",
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2
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]
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},
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"class_type": "VAEDecode",
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"_meta": {
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"title": "VAE Decode"
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}
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},
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"9": {
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"inputs": {
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"filename_prefix": "ComfyUI",
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"images": [
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"8",
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0
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]
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},
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"class_type": "SaveImage",
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"_meta": {
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"title": "Save Image"
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}
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}
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}
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@@ -0,0 +1 @@
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# This folder is required for the provisioning scripts of ace and wan to complete.
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@@ -1,34 +0,0 @@
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cartoon character of a person with a hoodie , in style of cytus and deemo, ork, gold chains, realistic anime cat, dripping black goo, lineage revolution style, thug life, cute anthropomorphic bunny, balrog, arknights, aliased, very buff, black and red and yellow paint, painting illustration collage style, character composition in vector with white background
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stardew valley, fine details
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2D Vector Illustration of a child with soccer ball Art for Sublimation, Design Art, Chrome Art, Painting and Stunning Artwork, Highly Detailed Digital Painting, Airbrush Art, Highly Detailed Digital Artwork, Dramatic Artwork, stained antique yellow copper paint, digital airbrush art, detailed by Mark Brooks, Chicano airbrush art, Swagger! snake Culture
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realistic futuristic city-downtown with short buildings, sunset
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seascape by Ray Collins and artgerm, front view of a perfect wave, sunny background, ultra detailed water
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inspired by realflow-cinema4d editor features, create image of a transparent luxury cup with ice fruits and mint, connected with white, yellow and pink cream, Slow - High Speed MO Photography, YouTube Video Screenshot, Abstract Clay, Transparent Cup , molecular gastronomy, wheel, 3D fluid,Simulation rendering, still video, 4k polymer clay futras photography, very surreal, Houdini Fluid Simulation, hyperrealistic CGI and FLUIDS & MULTIPHYSICS SIMULATION effect, with Somali Stain Lurex, Metallic Jacquard, Gold Thread, Mulberry Silk, Toub Saree, Warm background, a fantastic image worthy of an award.
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biker with backpack on his back riding a motorcycle, Style by Ade Santora, Oilpunk, Cover photo, craig mullins style, on the cover of a magazine, Outdoor Magazine, inspired by Alex Petruk APe, image of a male biker, Cover of an award-winning magazine, the man has a backpack, photo for magazine, with a backpack, magazine cover
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generate a collage-style illustration inspired by the Procreate raster graphic editor, photographic illustration with the theme, 2D vector, art for textile sublimation, containing surrealistic cartoon cat wearing a baseball cap and jeans standing in front of a poster, inspired by Sadao Watanabe, Doraemon, Japanese cartoon style, Eichiro Oda, Iconic high detail character, Director: Nakahara Nantenbō, Kastuhiro Otomo, image detailed, by Miyamoto, Hidetaka Miyazaki, Katsuhiro illustration, 8k, masterpiece, Minimize noise and grain in photo quality without lose quality and increase brightness and lighting,Symmetry and Alignment, Avoid asymmetrical shapes and out-of-focus points. Focus and Sharpness: Make sure the image is focused and sharp and encourages the viewer to see it as a work of art printed on fabric.
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fantasy medieval village world inside a glass sphere , high detail, fantasy, realistic, light effect, hyper detail, volumetric lighting, cinematic, macro, depth of field, blur, red light and clouds from the back, highly detailed epic cinematic concept art cg render made in maya, blender and photoshop, octane render, excellent composition, dynamic dramatic cinematic lighting, aesthetic, very inspirational, world inside a glass sphere by james gurney by artgerm with james jean, joe fenton and tristan eaton by ross tran, fine details
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Iron Man, (Arnold Tsang, Toru Nakayama), Masterpiece, Studio Quality, 6k , toa, toaair, 1boy, glowing, axe, mecha, science_fiction, solo, weapon, jungle , green_background, nature, outdoors, solo, tree, weapon, mask, dynamic lighting, detailed shading, digital texture painting
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(Pope Francis) wearing leather jacket is a DJ in a nightclub, mixing live on stage, giant mixing table, a masterpiece
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Pope Francis wearing biker (leather jacket), a masterpiece
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Luke Skywalker ordering a burger and fries from the Death Star canteen.
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I want to generate a group avatar for a Feishu group chat. The role of this group is daily software technical communication. Now the subject technology stacks that members of this group discuss daily include: algorithms, data structures, optimization, functional programming, and the programming languages often discussed are: TypeScript, Java, python, etc. I hope this avatar has a simple aesthetic, this avatar is a single person avatar
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portrait Anime black girl cute-fine-face, pretty face, realistic shaded Perfect face, fine details. Anime. realistic shaded lighting by Ilya Kuvshinov Giuseppe Dangelico Pino and Michael Garmash and Rob Rey, IAMAG premiere, WLOP matte print, cute freckles, masterpiece
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young Disney socialite wearing a beige miniskirt, dark brown turtleneck sweater, small neckless, cute-fine-face, anime. illustration, realistic shaded perfect face, brown hair, grey eyes, fine details, realistic shaded lighting by ilya kuvshinov giuseppe dangelico pino and michael garmash and rob rey, iamag premiere, wlop matte print, a masterpiece
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Cute small cat sitting in a movie theater eating chicken wiggs watching a movie ,unreal engine, cozy indoor lighting, artstation, detailed, digital painting,cinematic,character design by mark ryden and pixar and hayao miyazaki, unreal 5, daz, hyperrealistic, octane render
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Cute small dog sitting in a movie theater eating popcorn watching a movie ,unreal engine, cozy indoor lighting, artstation, detailed, digital painting,cinematic,character design by mark ryden and pixar and hayao miyazaki, unreal 5, daz, hyperrealistic, octane render
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fox bracelet made of buckskin with fox features, rich details, fine carvings, studio lighting
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crane buckskin bracelet with crane features, rich details, fine carvings, studio lighting
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london luxurious interior living-room, light walls
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Parisian luxurious interior penthouse bedroom, dark walls, wooden panels
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cute girl, crop-top, blond hair, black glasses, stretching, with background by greg rutkowski makoto shinkai kyoto animation key art feminine mid shot
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houses in front, houses background, straight houses, digital art, smooth, sharp focus, gravity falls style, doraemon style, shinchan style, anime style
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Simplified technical drawing, Leonardo da Vinci, Mechanical Dinosaur Skeleton, Minimalistic annotations, Hand-drawn illustrations, Basic design and engineering, Wonder and curiosity
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High quality 8K painting impressionist style of a Japanese modern city street with a girl on the foreground wearing a traditional wedding dress with a fox mask, staring at the sky, daylight
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a landscape from the Moon with the Earth setting on the horizon, realistic, detailed
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Isometric Atlantis city,great architecture with columns, great details, ornaments,seaweed, blue ambiance, 3D cartoon style, soft light, 45° view
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A hyper realistic avatar of a guy riding on a black honda cbr 650r in leather suit,high detail, high quality,8K,photo realism
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the street of amedieval fantasy town, at dawn, dark, highly detailed
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overwhelmingly beautiful eagle framed with vector flowers, long shiny wavy flowing hair, polished, ultra detailed vector floral illustration mixed with hyper realism, muted pastel colors, vector floral details in background, muted colors, hyper detailed ultra intricate overwhelming realism in detailed complex scene with magical fantasy atmosphere, no signature, no watermark
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a highly detailed matte painting of a man on a hill watching a rocket launch in the distance by studio ghibli, makoto shinkai, by artgerm, by wlop, by greg rutkowski, volumetric lighting, octane render, 4 k resolution, trending on artstation, masterpiece | hyperrealism| highly detailed| insanely detailed| intricate| cinematic lighting| depth of field
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electronik robot and ofice ,unreal engine, cozy indoor lighting, artstation, detailed, digital painting,cinematic,character design by mark ryden and pixar and hayao miyazaki, unreal 5, daz, hyperrealistic, octane render
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exquisitely intricately detailed illustration, of a small world with a lake and a rainbow, inside a closed glass jar.
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@@ -1,150 +0,0 @@
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import os
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import logging
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import dataclasses
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import base64
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from typing import Optional, Union, Type
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import aiohttp
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from aiohttp import web, ClientResponse
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from lib.backend import Backend, LogAction
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from lib.data_types import EndpointHandler
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from lib.server import start_server
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from .data_types import ComfyWorkflowData
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MODEL_SERVER_URL = os.getenv("MODEL_SERVER_URL", "http://127.0.0.1:18288")
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COMFYUI_URL = os.getenv("COMFYUI_URL", "http://127.0.0.1:18188") # Raw ComfyUI server
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# This is the last log line that gets emitted once comfyui+extensions have been fully loaded
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MODEL_SERVER_START_LOG_MSG = "To see the GUI go to: "
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MODEL_SERVER_ERROR_LOG_MSGS = [
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"MetadataIncompleteBuffer", # This error is emitted when the downloaded model is corrupted
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"Value not in list: ", # This error is emitted when the model file is not there at all
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"[ERROR] Provisioning Script failed", # Error inserted by provisioning script if models/nodes fail to download
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]
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logging.basicConfig(
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level=logging.DEBUG,
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format="%(asctime)s[%(levelname)-5s] %(message)s",
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datefmt="%Y-%m-%d %H:%M:%S",
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)
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log = logging.getLogger(__file__)
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async def generate_client_response(
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client_request: web.Request, model_response: ClientResponse
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) -> Union[web.Response, web.StreamResponse]:
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# Check if the response is actually streaming based on response headers/content-type
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is_streaming_response = (
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model_response.content_type == "text/event-stream"
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or model_response.content_type == "application/x-ndjson"
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or model_response.headers.get("Transfer-Encoding") == "chunked"
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or "stream" in model_response.content_type.lower()
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)
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if is_streaming_response:
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log.debug("Detected streaming response...")
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res = web.StreamResponse()
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res.content_type = model_response.content_type
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await res.prepare(client_request)
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async for chunk in model_response.content:
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await res.write(chunk)
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await res.write_eof()
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log.debug("Done streaming response")
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return res
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else:
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log.debug("Detected non-streaming response...")
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content = await model_response.read()
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return web.Response(
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body=content,
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status=model_response.status,
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content_type=model_response.content_type
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)
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@dataclasses.dataclass
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class ComfyWorkflowHandler(EndpointHandler[ComfyWorkflowData]):
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@property
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def endpoint(self) -> str:
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return "/generate/sync"
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@property
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def healthcheck_endpoint(self) -> Optional[str]:
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return f"{MODEL_SERVER_URL}/health"
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@classmethod
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def payload_cls(cls) -> Type[ComfyWorkflowData]:
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return ComfyWorkflowData
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def make_benchmark_payload(self) -> ComfyWorkflowData:
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return ComfyWorkflowData.for_test()
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async def generate_client_response(
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self, client_request: web.Request, model_response: ClientResponse
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) -> Union[web.Response, web.StreamResponse]:
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return await generate_client_response(client_request, model_response)
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backend = Backend(
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model_server_url=MODEL_SERVER_URL,
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model_log_file=os.environ["MODEL_LOG"],
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allow_parallel_requests=False,
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benchmark_handler=ComfyWorkflowHandler(
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benchmark_runs=3, benchmark_words=100
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),
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log_actions=[
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(LogAction.ModelLoaded, MODEL_SERVER_START_LOG_MSG),
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(LogAction.Info, "Downloading:"),
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*[
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(LogAction.ModelError, error_msg)
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for error_msg in MODEL_SERVER_ERROR_LOG_MSGS
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],
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],
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)
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async def handle_ping(_):
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return web.Response(body="pong")
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async def handle_view(request: web.Request) -> web.Response:
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"""Proxy /view requests to raw ComfyUI server to fetch generated images"""
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# Forward query params to raw ComfyUI (not the API wrapper)
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query_string = request.query_string
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url = f"{COMFYUI_URL}/view?{query_string}"
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log.debug(f"Proxying /view request to: {url}")
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|
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try:
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async with aiohttp.ClientSession() as session:
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async with session.get(url) as resp:
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if resp.status == 200:
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content = await resp.read()
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return web.Response(
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body=content,
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status=200,
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content_type=resp.content_type or "image/png"
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)
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else:
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text = await resp.text()
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return web.Response(
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text=text,
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status=resp.status,
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content_type="text/plain"
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)
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except Exception as e:
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log.error(f"Error proxying /view: {e}")
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return web.Response(text=str(e), status=500)
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routes = [
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web.post("/generate/sync", backend.create_handler(ComfyWorkflowHandler())),
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web.get("/view", handle_view),
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web.get("/ping", handle_ping),
|
||||
]
|
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|
||||
if __name__ == "__main__":
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start_server(backend, routes)
|
||||
@@ -1,8 +0,0 @@
|
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from lib.test_utils import test_load_cmd, test_args
|
||||
from .data_types import ComfyWorkflowData
|
||||
|
||||
WORKER_ENDPOINT = "/generate/sync"
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
test_load_cmd(ComfyWorkflowData, WORKER_ENDPOINT, arg_parser=test_args)
|
||||
@@ -0,0 +1,81 @@
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import random
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import sys
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from vastai import Worker, WorkerConfig, HandlerConfig, LogActionConfig, BenchmarkConfig
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# ComyUI model configuration
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MODEL_SERVER_URL = 'http://127.0.0.1'
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MODEL_SERVER_PORT = 18288
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MODEL_LOG_FILE = '/var/log/portal/comfyui.log'
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MODEL_HEALTHCHECK_ENDPOINT = "/health"
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# ComyUI-specific log messages
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MODEL_LOAD_LOG_MSG = [
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"To see the GUI go to: "
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]
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MODEL_ERROR_LOG_MSGS = [
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"MetadataIncompleteBuffer",
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"Value not in list: ",
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"[ERROR] Provisioning Script failed"
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]
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MODEL_INFO_LOG_MSGS = [
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'"message":"Downloading'
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]
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benchmark_prompts = [
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"Cartoon hoodie hero; orc, anime cat, bunny; black goo; buff; vector on white.",
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"Cozy farming-game scene with fine details.",
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"2D vector child with soccer ball; airbrush chrome; swagger; antique copper.",
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"Realistic futuristic downtown of low buildings at sunset.",
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"Perfect wave front view; sunny seascape; ultra-detailed water; artful feel.",
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"Clear cup with ice, fruit, mint; creamy swirls; fluid-sim CGI; warm glow.",
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"Male biker with backpack on motorcycle; oilpunk; award-worthy magazine cover.",
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"Collage for textile; surreal cartoon cat in cap/jeans before poster; crisp.",
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"Medieval village inside glass sphere; volumetric light; macro focus.",
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"Iron Man with glowing axe; mecha sci-fi; jungle scene; dynamic light.",
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"Pope Francis DJ in leather jacket, mixing on giant console; dramatic.",
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]
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benchmark_dataset = [
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{
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"input": {
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"request_id": f"test-{random.randint(1000, 99999)}",
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"modifier": "Text2Image",
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"modifications": {
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"prompt": prompt,
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"width": 512,
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"height": 512,
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"steps": 20,
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"seed": random.randint(0, sys.maxsize)
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}
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}
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} for prompt in benchmark_prompts
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]
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worker_config = WorkerConfig(
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model_server_url=MODEL_SERVER_URL,
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model_server_port=MODEL_SERVER_PORT,
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model_log_file=MODEL_LOG_FILE,
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model_healthcheck_url=MODEL_HEALTHCHECK_ENDPOINT,
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handlers=[
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HandlerConfig(
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route="/generate/sync",
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allow_parallel_requests=False,
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max_queue_time=10.0,
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benchmark_config=BenchmarkConfig(
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dataset=benchmark_dataset,
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)
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)
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],
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log_action_config=LogActionConfig(
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on_load=MODEL_LOAD_LOG_MSG,
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on_error=MODEL_ERROR_LOG_MSGS,
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on_info=MODEL_INFO_LOG_MSGS
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)
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)
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Worker(worker_config).run()
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