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import gradio as gr
import requests
import json
url = "https://api.prodia.com/v1/job"
payload = { "model": "timeless-1.0.ckpt [7c4971d4]" }
headers = {
"accept": "application/json",
"content-type": "application/json",
"X-Prodia-Key": "69e66898-010d-4cd1-9e22-090f73ad007b"
}
model = "timeless-1.0.ckpt 1.0.ckpt [7c4971d4]"
response = requests.post(url, json=payload, headers=headers)
print(response.text)
response = requests.post(url, headers=headers)
#generator = DiffusionPipeline.from_pretrained("CompVis/ldm-text2im-large-256")
generator = "timeless-1.0.ckpt [7c4971d4]"
def generate(prompts):
images = generator(list(prompts)).images
return [images]
demo = gr.Interface(generate,
"textbox",
"image",
batch=True,
max_batch_size=4 # Set the batch size based on your CPU/GPU memory
).queue()
if __name__ == "__main__":
demo.launch()
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