Update app.py

app.py

@@ -20,7 +20,7 @@ print(f"[SYSTEM] | Using {DEVICE} type compute device.")
 # Variables
 MAX_SEED = 9007199254740991
 DEFAULT_INPUT = ""
-DEFAULT_NEGATIVE_INPUT = "(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (NSFW:1.25)"
+DEFAULT_NEGATIVE_INPUT = "(bad), (abstract), (deformed, distorted, disfigured, disconnected, disgusting, displeasing:1.3), (anatomy, bad anatomy, wrong anatomy), (blur, blurry), (mutation, mutated), missing, unfinished, scribble, lowres, low quality, jpeg artifacts, text, error, username, scan, signature, watermark, (ugly), amputation, (digit, digits, limb, limbs, leg, legs, foot, feet, toe, toes, arm, arms, hand, hands, finger, fingers, head, heads:1.4), (exposed, explicit, porn, nude, nudity, naked, nsfw:1.25)"
 DEFAULT_MODEL = "Default"
 DEFAULT_HEIGHT = 1024
 DEFAULT_WIDTH = 1024
@@ -36,13 +36,12 @@ footer {
 repo_nsfw_classifier = pipeline("image-classification", model="Falconsai/nsfw_image_detection")
 
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
-controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k", torch_dtype=torch.float16)
-# , vae=vae, controlnet=controlnet
-repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
+controlnet = ControlNetModel.from_pretrained("MakiPan/controlnet-encoded-hands-130k", torch_dtype=torch.float16) 
+
+repo_default = StableDiffusionXLPipeline.from_pretrained("fluently/Fluently-XL-Final", vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 
 repo_default.load_lora_weights("ehristoforu/dalle-3-xl-v2", adapter_name="base")
 repo_default.set_adapters("base")
-# repo_default.set_adapters(["base"], adapter_weights=[0.7])
 
 # repo_pixel = StableDiffusionXLPipeline.from_pretrained("sd-community/sdxl-flash", vae=vae, controlnet=controlnet, torch_dtype=torch.float16, use_safetensors=True, add_watermarker=False)
 # repo_pixel.load_lora_weights("artificialguybr/PixelArtRedmond", adapter_name="base")