125 lines
5.6 KiB
Python
125 lines
5.6 KiB
Python
import io
|
|
import json
|
|
import base64
|
|
import torch
|
|
import numpy as np
|
|
from PIL import Image
|
|
from google import genai
|
|
from google.genai import types
|
|
from google.oauth2 import service_account
|
|
|
|
class GoogleImagenEditVertex:
|
|
|
|
@classmethod
|
|
def INPUT_TYPES(cls):
|
|
return {
|
|
"required": {
|
|
"image": ("IMAGE",),
|
|
"mask": ("MASK",),
|
|
"prompt": ("STRING", {"multiline": True, "default": "Edit this image"}),
|
|
"project_id": ("STRING", {"multiline": False, "default": ""}),
|
|
"location": (["global", "us-central1", "us-east1", "us-east4", "us-east5", "us-south1", "us-west1", "us-west2", "us-west3", "us-west4", "northamerica-northeast1", "northamerica-northeast2", "southamerica-east1", "southamerica-west1", "africa-south1", "europe-west1", "europe-north1", "europe-west2", "europe-west3", "europe-west4", "europe-west6", "europe-west8", "europe-west9", "europe-west12", "europe-southwest1", "europe-central2", "asia-east1", "asia-east2", "asia-northeast1", "asia-northeast2", "asia-northeast3", "asia-south1", "asia-south2", "asia-southeast1", "asia-southeast2", "australia-southeast1", "australia-southeast2", "me-central1", "me-central2", "me-west1"], {"default": "us-central1"}),
|
|
"service_account": ("STRING", {"multiline": True, "default": ""}),
|
|
"edit_mode": (["EDIT_MODE_INPAINT_INSERTION", "EDIT_MODE_INPAINT_REMOVAL", "EDIT_MODE_OUTPAINT", "EDIT_MODE_BGSWAP"], {"default": "EDIT_MODE_INPAINT_INSERTION"}),
|
|
"number_of_images": ("INT", {"default": 1, "min": 1, "max": 4, "step": 1}),
|
|
"seed": ("INT", {"default": 69, "min": 1, "max": 2147483646, "step": 1}),
|
|
"base_steps": ("INT", {"default": 50, "min": 10, "max": 100, "step": 1}),
|
|
"guidance_scale": ("FLOAT", {"default": 7.5, "min": 1.0, "max": 20.0, "step": 0.1}),
|
|
"mask_dilation": ("FLOAT", {"default": 0.03, "min": 0.0, "max": 1.0, "step": 0.01}),
|
|
},
|
|
"optional": {
|
|
"negative_prompt": ("STRING", {"multiline": True, "default": ""}),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("IMAGE",)
|
|
RETURN_NAMES = ("edited_images",)
|
|
FUNCTION = "edit_image"
|
|
CATEGORY = "image/edit"
|
|
|
|
def setup_client(self, service_account_json, project_id, location):
|
|
if not service_account_json.strip():
|
|
raise ValueError("Service account JSON content is required.")
|
|
if not project_id.strip():
|
|
raise ValueError("Project ID is required.")
|
|
|
|
try:
|
|
sa_info = json.loads(service_account_json)
|
|
except json.JSONDecodeError as e:
|
|
raise ValueError(f"Invalid JSON content: {str(e)}")
|
|
|
|
credentials = service_account.Credentials.from_service_account_info(
|
|
sa_info,
|
|
scopes=["https://www.googleapis.com/auth/cloud-platform"]
|
|
)
|
|
|
|
return genai.Client(
|
|
vertexai=True,
|
|
project=project_id.strip(),
|
|
location=location.strip(),
|
|
credentials=credentials,
|
|
http_options=types.HttpOptions(
|
|
retry_options=types.HttpRetryOptions(attempts=10, jitter=10)
|
|
)
|
|
)
|
|
|
|
def edit_image(self, image, mask, prompt, project_id, location, service_account,
|
|
edit_mode, number_of_images, seed, base_steps, guidance_scale, mask_dilation, negative_prompt=""):
|
|
|
|
client = self.setup_client(service_account, project_id, location)
|
|
|
|
def to_b64(img):
|
|
b = io.BytesIO()
|
|
img.save(b, format='PNG')
|
|
return base64.b64encode(b.getvalue()).decode('utf-8')
|
|
|
|
img_pil = Image.fromarray((image[0].cpu().numpy() * 255).astype(np.uint8))
|
|
|
|
mask_np = mask.cpu().numpy()
|
|
if mask_np.ndim == 3: mask_np = mask_np[0]
|
|
mask_pil = Image.fromarray((mask_np * 255).astype(np.uint8), mode='L')
|
|
|
|
config_dict = {
|
|
"edit_mode": edit_mode,
|
|
"number_of_images": number_of_images,
|
|
"base_steps": base_steps,
|
|
"seed": seed,
|
|
"guidance_scale": guidance_scale,
|
|
"output_mime_type": "image/jpeg",
|
|
"include_rai_reason": True,
|
|
}
|
|
|
|
if negative_prompt.strip():
|
|
config_dict["negative_prompt"] = negative_prompt.strip()
|
|
|
|
try:
|
|
response = client.models.edit_image(
|
|
model="imagen-3.0-capability-001",
|
|
prompt=prompt,
|
|
reference_images=[
|
|
types.RawReferenceImage(reference_id=0, reference_image={'image_bytes': to_b64(img_pil)}),
|
|
types.MaskReferenceImage(reference_id=1, reference_image={'image_bytes': to_b64(mask_pil)},
|
|
config=types.MaskReferenceConfig(mask_mode="MASK_MODE_USER_PROVIDED", mask_dilation=mask_dilation))
|
|
],
|
|
config=types.EditImageConfig(**config_dict)
|
|
)
|
|
|
|
if not response.generated_images:
|
|
raise ValueError("No images generated")
|
|
|
|
output_tensors = []
|
|
for item in response.generated_images:
|
|
res_img = Image.open(io.BytesIO(item.image.image_bytes)).convert("RGB")
|
|
output_tensors.append(torch.from_numpy(np.array(res_img).astype(np.float32) / 255.0))
|
|
|
|
return (torch.stack(output_tensors),)
|
|
|
|
except Exception as e:
|
|
raise RuntimeError(f"Google Imagen Edit Error: {e}")
|
|
|
|
@classmethod
|
|
def IS_CHANGED(cls, **kwargs):
|
|
return float("nan")
|
|
|
|
NODE_CLASS_MAPPINGS = {"GoogleImagenEditVertex": GoogleImagenEditVertex}
|
|
NODE_DISPLAY_NAME_MAPPINGS = {"GoogleImagenEditVertex": "Imagen Edit (Vertex AI)"} |