Update README.md

README.md

@@ -85,16 +85,16 @@ import torch
 from diffusers import DiffusionPipeline
 from optimum.quanto import freeze, quantize, qint8
 
-model_id = "neuralvfx/LibreFlux-ControlNet"  # <-- change if you used a different repo
+model_id = "neuralvfx/LibreFlux-ControlNet" 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype  = torch.bfloat16 if device == "cuda" else torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(
     model_id,
     custom_pipeline=model_id,
-    trust_remote_code=True,       # required for your custom pipeline + modules
+    trust_remote_code=True,    
     torch_dtype=dtype,
-    safety_checker=None           # optional; disable if not using a checker
+    safety_checker=None         
 )
 
 quantize(