51 lines
2.0 KiB
Python
51 lines
2.0 KiB
Python
import urllib.parse
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import requests
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import torch
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import numpy as np
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from PIL import Image
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import io
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class PollinationsImageGen:
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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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"prompt": ("STRING", {"multiline": True, "default": "A cinematic product shot..."}),
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"model": (["flux", "klein-large", "gptimage"], {"default": "flux"}),
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"width": ("INT", {"default": 1024, "min": 256, "max": 4096}),
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"height": ("INT", {"default": 1024, "min": 256, "max": 4096}),
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"seed": ("INT", {"default": 42, "min": 0, "max": 0xffffffffffffffff}),
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},
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"optional": {
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"api_key": ("STRING", {"default": "", "multiline": False}), # BYOP integration
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}
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}
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RETURN_TYPES = ("IMAGE",)
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RETURN_NAMES = ("image",)
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FUNCTION = "generate"
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CATEGORY = "Pollinations"
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def generate(self, prompt, model, width, height, seed, api_key):
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encoded_prompt = urllib.parse.quote(prompt)
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url = f"https://image.pollinations.ai/prompt/{encoded_prompt}?model={model}&width={width}&height={height}&seed={seed}&nologo=true"
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headers = {}
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# BYOP Logic: If the user provides a key, we use their Pollen!
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if api_key and api_key.strip() != "":
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headers["Authorization"] = f"Bearer {api_key.strip()}"
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print(f"🌸 [Pollinations] Generating with {model}...")
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response = requests.get(url, headers=headers)
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if response.status_code == 200:
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image = Image.open(io.BytesIO(response.content)).convert("RGB")
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# Convert PIL image to ComfyUI Tensor format
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image_np = np.array(image).astype(np.float32) / 255.0
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image_tensor = torch.from_numpy(image_np)[None,]
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return (image_tensor,)
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else:
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raise Exception(f"Pollinations API Error: {response.status_code} - {response.text}") |