Update readme.md

readme.md

@@ -43,25 +43,8 @@ pipe = DiffusionPipeline.from_pretrained(
     torch_dtype=torch.bfloat16
 ).to("cuda")
 
-pipe.load_lora_weights("thorjank/arthur-insta-lora", weight_name="<YOUR_LORA_FILENAME>.safetensors")
+pipe.load_lora_weights("thorjank/arthur_insta", weight_name="<YOUR_LORA_FILENAME>.safetensors")
 
 prompt = "arthur_insta, portrait photo, natural light, high detail"
 image = pipe(prompt).images[0]
-image.save("out.png")
-
-Training details (summary)
-	•	Steps: 3000
-	•	Batch size: 1
-	•	Learning rate: 1e-4
-	•	Network: LoRA
-	•	linear rank/alpha: 32/32
-	•	conv rank/alpha: 16/16
-	•	Trained modules: U-Net (text encoder not trained)
-	•	Precision: bf16
-	•	Noise scheduler / sampler: flowmatch
-	•	Resolution buckets configured: 512 / 768 / 1024
-
-
-Notes / License:
-
-This repo contains only LoRA weights. Please ensure your use complies with the base model’s license and that you have the necessary rights/permissions for any identity/likeness represented by this LoRA.
+image.save("out.png")