Upload genimage.py

genimage.py

@@ -6,7 +6,7 @@ def load_pipeline():
     import torch
     device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
     pipe = StableDiffusionXLPipeline.from_pretrained(
-        "John6666/comradeship-xl-v9se2-sdxl",
+        "John6666/t-ponynai3-v6-sdxl-spo-hyper",
         torch_dtype=torch.float16,
     )
     pipe.to(device)
@@ -43,8 +43,8 @@ def generate_image(prompt, neg_prompt):
     }
     try: 
         images = pipe(
-            prompt=prompt + ", score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, masterpiece, best quality, very aesthetic, absurdres",
-            negative_prompt=neg_prompt + ", score_4, score_3, score_2, score_1, bad hands, bad feet, lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract], photo, deformed, disfigured, low contrast, photo, deformed, disfigured, low contrast",
+            prompt=prompt + ", masterpiece, best quality, very aesthetic, absurdres",
+            negative_prompt=neg_prompt + ", lowres, (bad), text, error, fewer, extra, missing, worst quality, jpeg artifacts, low quality, watermark, unfinished, displeasing, oldest, early, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract], photo, deformed, disfigured, low contrast, photo, deformed, disfigured, low contrast",
             width=1024,
             height=1024,
             guidance_scale=7.5,