API generations with the SDXL example workflow only succeeds on the first generation

Console output:

```
100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:05<00:00, 3.57it/s]
100%|████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:01<00:00, 3.46it/s]
Prompt executed in 14.06 seconds
got prompt
Prompt executed in 0.00 seconds
got prompt
Prompt executed in 0.00 seconds
got prompt
Prompt executed in 0.00 seconds
```

And here's my workflow:

```
{
"4": {
"inputs": {
"ckpt_name": "sd_xl_base_1.0.safetensors"
},
"class_type": "CheckpointLoaderSimple"
},
"5": {
"inputs": {
"width": 1024,
"height": 1024,
"batch_size": 1
},
"class_type": "EmptyLatentImage"
},
"6": {
"inputs": {
"text": "evening sunset scenery blue sky nature, glass bottle with a galaxy in it",
"clip": [
"4",
1
]
},
"class_type": "CLIPTextEncode"
},
"7": {
"inputs": {
"text": "text, watermark",
"clip": [
"4",
1
]
},
"class_type": "CLIPTextEncode"
},
"10": {
"inputs": {
"add_noise": "enable",
"noise_seed": 721897303308196,
"steps": 25,
"cfg": 8,
"sampler_name": "euler",
"scheduler": "normal",
"start_at_step": 0,
"end_at_step": 20,
"return_with_leftover_noise": "enable",
"model": [
"4",
0
],
"positive": [
"6",
0
],
"negative": [
"7",
0
],
"latent_image": [
"5",
0
]
},
"class_type": "KSamplerAdvanced"
},
"11": {
"inputs": {
"add_noise": "disable",
"noise_seed": 0,
"steps": 25,
"cfg": 8,
"sampler_name": "euler",
"scheduler": "normal",
"start_at_step": 20,
"end_at_step": 10000,
"return_with_leftover_noise": "disable",
"model": [
"12",
0
],
"positive": [
"15",
0
],
"negative": [
"16",
0
],
"latent_image": [
"10",
0
]
},
"class_type": "KSamplerAdvanced"
},
"12": {
"inputs": {
"ckpt_name": "sd_xl_refiner_1.0.safetensors"
},
"class_type": "CheckpointLoaderSimple"
},
"15": {
"inputs": {
"text": "evening sunset scenery blue sky nature, glass bottle with a galaxy in it",
"clip": [
"12",
1
]
},
"class_type": "CLIPTextEncode"
},
"16": {
"inputs": {
"text": "text, watermark",
"clip": [
"12",
1
]
},
"class_type": "CLIPTextEncode"
},
"17": {
"inputs": {
"samples": [
"11",
0
],
"vae": [
"12",
2
]
},
"class_type": "VAEDecode"
},
"19": {
"inputs": {
"filename_prefix": "ComfyUI",
"images": [
"17",
0
]
},
"class_type": "SaveImage"
}
}
```

basic_api_example.py and websockets_api_example.py remains unchanged. The issue persists with both scripts

Also, when I tried to change my prompt, restarted Comfy and tried generating, it still generated an image with the old prompt. There was no generations queued (in the GUI) beforehand, so something funky is going on