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64 lines
2.3 KiB
64 lines
2.3 KiB
3 weeks ago
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import random
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import requests
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import io
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import base64
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from PIL import Image
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def generate_cat_images(ip, port, model_params, prompt="a cat", num_images=5):
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for i in range(num_images):
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# Generate a random seed for each image
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seed = random.randint(0, 4294967295)
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# Build the payload for the txt2img API endpoint
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payload = {
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"prompt": prompt,
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"negative_prompt": "", # Modify if needed
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"sd_model_checkpoint": model_params["model"],
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"steps": model_params["steps"],
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"cfg_scale": model_params["cfg_scale"],
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"width": model_params["width"],
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"height": model_params["height"],
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"sampler_index": model_params["sampler"],
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"seed": seed
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}
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try:
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# Include the custom port in the URL
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response = requests.post(
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url=f'http://{ip}:{port}/sdapi/v1/txt2img',
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json=payload,
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timeout=30
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)
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response.raise_for_status() # Check for HTTP errors
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r = response.json()
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# Process returned images (the API returns a list in r['images'])
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for img_data in r.get('images', []):
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# Remove any header if present (e.g., "data:image/png;base64,")
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img_base64 = img_data.split(",", 1)[-1]
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image = Image.open(io.BytesIO(base64.b64decode(img_base64)))
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# Save the image with a unique filename
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filename = f"cat_{i}.png"
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image.save(filename)
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print(f"Saved {filename}")
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except requests.exceptions.Timeout:
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print(f"Timeout occurred while generating image {i}")
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except Exception as e:
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print(f"An error occurred on iteration {i}: {e}")
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if __name__ == "__main__":
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ip = "172.30.200.3"
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port = 35000 # Custom port for the API
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# Define your model parameters (update 'model' to your actual checkpoint name)
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model_params = {
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"model": "sd3.5_checkpoint.ckpt", # Replace with your actual model checkpoint file
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"steps": 20,
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"cfg_scale": 7.0,
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"width": 512,
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"height": 512,
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"sampler": "Euler" # Adjust based on your setup
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}
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generate_cat_images(ip, port, model_params, prompt="a cat", num_images=5)
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