Update app.py

app.py

@@ -5,7 +5,7 @@ import random
 import spaces #[uncomment to use ZeroGPU]
 #from diffusers import DiffusionPipeline ,AutoencoderTiny
 import torch
-
+from diffusers import AutoencoderTiny, StableDiffusionPipeline
 from huggingface_hub import login
 import os 
 a=os.getenv('hf_key')
@@ -31,7 +31,33 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024
 
 
-from diffusers import AutoencoderTiny, StableDiffusionPipeline
+
+
+negative_prompt1= """score_9, score_8, aidxlv05_neg, bad-artist, FastNegative,
+worst quality, normal quality, low quality, low res, blurry, distortion, text, watermark,
+logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch, duplicate, ugly,
+monochrome, horror, geometry, mutation, disgusting, bad anatomy, bad proportions, bad quality, deformed,
+disconnected limbs, out of frame, out of focus, dehydrated, disfigured, extra arms, extra limbs, extra hands,
+fused fingers, gross proportions, long neck, jpeg, malformed limbs, mutated, mutated hands, mutated limbs, 
+missing arms, missing fingers, picture frame, poorly drawn hands, poorly drawn face, collage, pixel, pixelated,
+grainy, color aberration, amputee, autograph, bad illustration, beyond the borders, blank background,
+body out of frame, boring background, branding, cut off, dismembered, disproportioned, distorted, draft,
+duplicated features, extra fingers, extra legs, fault, flaw, grains, hazy, identifying mark,
+improper scale, incorrect physiology, incorrect ratio, indistinct, kitsch, low resolution, macabre,
+malformed, mark, misshapen, missing hands, missing legs, mistake, morbid, mutilated, off-screen,
+outside the picture, poorly drawn feet, printed words, render, repellent, replicate, reproduce,
+revolting dimensions, script, shortened, sign, split image, squint, storyboard,
+tiling, trimmed, unfocused, unattractive, unnatural pose, unreal engine, unsightly, written language"""
+
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+
 
 pipe = StableDiffusionPipeline.from_pretrained(
     "nota-ai/bk-sdm-small", torch_dtype=torch_dtype, use_safetensors=True)
@@ -58,7 +84,7 @@ def infer(
 
     image = pipe(
         prompt=prompt,
-        negative_prompt=negative_prompt,
+        negative_prompt=negative_prompt1,
         guidance_scale=guidance_scale,
         num_inference_steps=num_inference_steps,
         width=width,