mirror of
https://github.com/open-webui/open-webui
synced 2024-11-16 21:42:58 +00:00
feat: comfyui integration
This commit is contained in:
Timothy J. Baek
parent
862c96fcef
commit
98624a406f
@ -18,6 +18,8 @@ from utils.utils import (
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get_current_user,
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get_admin_user,
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)
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from apps.images.utils.comfyui import ImageGenerationPayload, comfyui_generate_image
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from utils.misc import calculate_sha256
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from typing import Optional
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from pydantic import BaseModel
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@ -105,7 +107,12 @@ async def update_engine_url(
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app.state.COMFYUI_BASE_URL = COMFYUI_BASE_URL
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else:
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url = form_data.COMFYUI_BASE_URL.strip("/")
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app.state.COMFYUI_BASE_URL = url
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try:
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r = requests.head(url)
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app.state.COMFYUI_BASE_URL = url
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except Exception as e:
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raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
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return {
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"AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL,
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@ -232,6 +239,8 @@ async def get_default_model(user=Depends(get_admin_user)):
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try:
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if app.state.ENGINE == "openai":
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return {"model": app.state.MODEL if app.state.MODEL else "dall-e-2"}
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elif app.state.ENGINE == "comfyui":
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return {"model": app.state.MODEL if app.state.MODEL else ""}
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else:
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r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
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options = r.json()
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@ -246,10 +255,12 @@ class UpdateModelForm(BaseModel):
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def set_model_handler(model: str):
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if app.state.ENGINE == "openai":
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app.state.MODEL = model
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return app.state.MODEL
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if app.state.ENGINE == "comfyui":
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app.state.MODEL = model
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return app.state.MODEL
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else:
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r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
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options = r.json()
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@ -297,12 +308,31 @@ def save_b64_image(b64_str):
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return None
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def save_url_image(url):
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image_id = str(uuid.uuid4())
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file_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.png")
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try:
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r = requests.get(url)
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r.raise_for_status()
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with open(file_path, "wb") as image_file:
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image_file.write(r.content)
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return image_id
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except Exception as e:
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print(f"Error saving image: {e}")
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return None
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@app.post("/generations")
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def generate_image(
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form_data: GenerateImageForm,
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user=Depends(get_current_user),
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):
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width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
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r = None
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try:
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if app.state.ENGINE == "openai":
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@ -340,12 +370,47 @@ def generate_image(
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return images
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elif app.state.ENGINE == "comfyui":
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data = {
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"prompt": form_data.prompt,
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"width": width,
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"height": height,
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"n": form_data.n,
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}
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if app.state.IMAGE_STEPS != None:
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data["steps"] = app.state.IMAGE_STEPS
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if form_data.negative_prompt != None:
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data["negative_prompt"] = form_data.negative_prompt
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data = ImageGenerationPayload(**data)
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res = comfyui_generate_image(
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app.state.MODEL,
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data,
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user.id,
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app.state.COMFYUI_BASE_URL,
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)
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print(res)
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images = []
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for image in res["data"]:
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image_id = save_url_image(image["url"])
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images.append({"url": f"/cache/image/generations/{image_id}.png"})
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file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
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with open(file_body_path, "w") as f:
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json.dump(data.model_dump(exclude_none=True), f)
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print(images)
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return images
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else:
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if form_data.model:
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set_model_handler(form_data.model)
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width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
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data = {
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"prompt": form_data.prompt,
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"batch_size": form_data.n,
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228
backend/apps/images/utils/comfyui.py
Normal file
228
backend/apps/images/utils/comfyui.py
Normal file
@ -0,0 +1,228 @@
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import websocket # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
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import uuid
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import json
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import urllib.request
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import urllib.parse
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import random
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from pydantic import BaseModel
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from typing import Optional
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COMFYUI_DEFAULT_PROMPT = """
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{
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"3": {
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"inputs": {
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"seed": 0,
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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": "model.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": "Prompt",
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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": "Negative Prompt",
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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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"""
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def queue_prompt(prompt, client_id, base_url):
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print("queue_prompt")
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p = {"prompt": prompt, "client_id": client_id}
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data = json.dumps(p).encode("utf-8")
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req = urllib.request.Request(f"{base_url}/prompt", data=data)
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return json.loads(urllib.request.urlopen(req).read())
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def get_image(filename, subfolder, folder_type, base_url):
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print("get_image")
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data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
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url_values = urllib.parse.urlencode(data)
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with urllib.request.urlopen(f"{base_url}/view?{url_values}") as response:
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return response.read()
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def get_image_url(filename, subfolder, folder_type, base_url):
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print("get_image")
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data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
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url_values = urllib.parse.urlencode(data)
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return f"{base_url}/view?{url_values}"
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def get_history(prompt_id, base_url):
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print("get_history")
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with urllib.request.urlopen(f"{base_url}/history/{prompt_id}") as response:
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return json.loads(response.read())
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def get_images(ws, prompt, client_id, base_url):
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prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
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output_images = []
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while True:
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out = ws.recv()
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if isinstance(out, str):
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message = json.loads(out)
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if message["type"] == "executing":
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data = message["data"]
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if data["node"] is None and data["prompt_id"] == prompt_id:
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break # Execution is done
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else:
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continue # previews are binary data
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history = get_history(prompt_id, base_url)[prompt_id]
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for o in history["outputs"]:
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for node_id in history["outputs"]:
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node_output = history["outputs"][node_id]
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if "images" in node_output:
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for image in node_output["images"]:
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url = get_image_url(
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image["filename"], image["subfolder"], image["type"], base_url
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)
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output_images.append({"url": url})
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return {"data": output_images}
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class ImageGenerationPayload(BaseModel):
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prompt: str
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negative_prompt: Optional[str] = ""
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steps: Optional[int] = None
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seed: Optional[int] = None
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width: int
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height: int
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n: int = 1
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def comfyui_generate_image(
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model: str, payload: ImageGenerationPayload, client_id, base_url
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):
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host = base_url.replace("http://", "").replace("https://", "")
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comfyui_prompt = json.loads(COMFYUI_DEFAULT_PROMPT)
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comfyui_prompt["4"]["inputs"]["ckpt_name"] = model
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comfyui_prompt["5"]["inputs"]["batch_size"] = payload.n
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comfyui_prompt["5"]["inputs"]["width"] = payload.width
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comfyui_prompt["5"]["inputs"]["height"] = payload.height
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# set the text prompt for our positive CLIPTextEncode
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comfyui_prompt["6"]["inputs"]["text"] = payload.prompt
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comfyui_prompt["7"]["inputs"]["text"] = payload.negative_prompt
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if payload.steps:
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comfyui_prompt["3"]["inputs"]["steps"] = payload.steps
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comfyui_prompt["3"]["inputs"]["seed"] = (
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payload.seed if payload.seed else random.randint(0, 18446744073709551614)
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)
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try:
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ws = websocket.WebSocket()
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ws.connect(f"ws://{host}/ws?clientId={client_id}")
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print("WebSocket connection established.")
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except Exception as e:
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print(f"Failed to connect to WebSocket server: {e}")
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return None
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try:
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images = get_images(ws, comfyui_prompt, client_id, base_url)
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except Exception as e:
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print(f"Error while receiving images: {e}")
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images = None
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ws.close()
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return images
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@ -323,6 +323,7 @@
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class="w-full rounded-lg py-2 px-4 text-sm dark:text-gray-300 dark:bg-gray-850 outline-none"
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bind:value={selectedModel}
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placeholder={$i18n.t('Select a model')}
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required
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>
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{#if !selectedModel}
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<option value="" disabled selected>{$i18n.t('Select a model')}</option>
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@ -2,6 +2,22 @@
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export let show = false;
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export let src = '';
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export let alt = '';
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const downloadImage = (url, filename) => {
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fetch(url)
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.then((response) => response.blob())
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.then((blob) => {
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const objectUrl = window.URL.createObjectURL(blob);
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const link = document.createElement('a');
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link.href = objectUrl;
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link.download = filename;
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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window.URL.revokeObjectURL(objectUrl);
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})
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.catch((error) => console.error('Error downloading image:', error));
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};
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</script>
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{#if show}
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@ -35,10 +51,7 @@
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<button
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class=" p-5"
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on:click={() => {
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const a = document.createElement('a');
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a.href = src;
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a.download = 'Image.png';
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a.click();
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downloadImage(src, 'Image.png');
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}}
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>
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<svg
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