From 9adf754a6b3e78e3e1dbae83fa795c691f474e75 Mon Sep 17 00:00:00 2001
From: taabata <57796911+taabata@users.noreply.github.com>
Date: Sat, 28 Dec 2024 04:02:31 +0300
Subject: [PATCH] Delete SANA/getembeds.py

---
 SANA/getembeds.py | 39 ---------------------------------------
 1 file changed, 39 deletions(-)
 delete mode 100644 SANA/getembeds.py

diff --git a/SANA/getembeds.py b/SANA/getembeds.py
deleted file mode 100644
index 9862586..0000000
--- a/SANA/getembeds.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import requests, json, argparse
-import numpy as np
-import torch
-from pipes.sana_img2img import SanaPipelineImg2Img
-
-
-parser = argparse.ArgumentParser()
-
-parser.add_argument("--prompt","-p")
-parser.add_argument("--model","-m")
-
-args = parser.parse_args()
-
-model_name = args.model
-
-pipe = SanaPipelineImg2Img.from_pretrained(
-    model_name,
-    torch_dtype=torch.bfloat16,
-    transformer=None,
-    vae=None
-
-)
-pipe.to('cpu')
-prompt = args.prompt
-embeds = pipe(
-    prompt=prompt,
-    height=512,
-    width=512,
-    guidance_scale=5.0,
-    num_inference_steps=2,
-    textonly=True
-)
-
-
-data = {}
-for i in embeds:
-    embs = json.dumps(embeds[i].type(torch.float32).numpy().astype(np.float32).tolist())
-    data[i] = embs
-req = requests.post("http://127.0.0.1:5000/getEmbeds",json=data,headers={'accept': 'content_type_value'})