Update app.py

app.py

@@ -141,7 +141,8 @@ def load_and_prepare_model():
       #  scheduler = EulerAncestralDiscreteScheduler.from_config(pipeX.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
         #scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset =1)
     )
-    sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16',token=HF_TOKEN, subfolder='scheduler',beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1) #,use_karras_sigmas=True)
+    sched = EulerAncestralDiscreteScheduler.from_pretrained('SG161222/RealVisXL_V5.0',token=HF_TOKEN, subfolder='scheduler',beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1) #,use_karras_sigmas=True)
+    #sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16',token=HF_TOKEN, subfolder='scheduler',beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1) #,use_karras_sigmas=True)
     #pipe.vae = AsymmetricAutoencoderKL.from_pretrained('cross-attention/asymmetric-autoencoder-kl-x-2').to(torch.bfloat16)   #  ,use_safetensors=True  FAILS
             
     #pipe.vae = AutoencoderKL.from_pretrained('ford442/Juggernaut-XI-v11-fp32',subfolder='vae')   #  ,use_safetensors=True  FAILS
@@ -189,8 +190,8 @@ def load_and_prepare_model():
     pipe.vae.set_default_attn_processor()  # Set attention processor first
 
     #pipe.load_lora_weights("Keltezaa/flux_pussy_NSFW", weight_name="flux-pussy.safetensors", adapter_name="vagina", low_cpu_mem_usage=False,token=HF_TOKEN)
-    pipe.load_lora_weights("xey/sldr_flux_nsfw_v2-studio", weight_name="sldr_flux_nsfw_v2-studio.safetensors", adapter_name="nsfw", low_cpu_mem_usage=False,token=HF_TOKEN)
-    pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin", low_cpu_mem_usage=False,token=HF_TOKEN)
+    #pipe.load_lora_weights("xey/sldr_flux_nsfw_v2-studio", weight_name="sldr_flux_nsfw_v2-studio.safetensors", adapter_name="nsfw", low_cpu_mem_usage=False,token=HF_TOKEN)
+    #pipe.load_lora_weights("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", adapter_name="skin", low_cpu_mem_usage=False,token=HF_TOKEN)
     #pipe.unet.load_lora_adapter("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", prefix="unet")
     #pipe.text_encoder.load_lora_adapter("ford442/sdxl-vae-bf16", weight_name="LoRA/skin_texture_style_v4.safetensors", prefix="text_encoder")