new update fix

README.md

@@ -29,7 +29,7 @@ Minecraftify is a Hugging Face Gradio Space that turns uploaded photos into a fa
 
 * **Space:** Minecraftify
 * **Demo video:** [YouTube walkthrough](#)
-* **Blog post:** [Project blog](#)
+* **Blog post:** [Project blog](https://huggingface.co/blog/build-small-hackathon/minecraftify)
 
 ## Current Status
 
@@ -62,7 +62,7 @@ The model is tuned to:
 
 * **Base model:** `black-forest-labs/FLUX.2-klein-4B`
 * **LoRA adapter:** `AnimeOverlord/flux2-klein-4b-mc-v2`
-* **Dataset:** 400 image pairs created with Qwen-Edit-25-12
+* **Dataset:** 376 image pairs created with Qwen-Edit-25-12
 * **Training script:** `train_dreambooth_lora_flux2_klein_img2img.py`
 
 ## Fine-Tuning Setup
@@ -219,7 +219,7 @@ cd diffusers/examples/dreambooth && accelerate launch train_dreambooth_lora_flux
 
 ### Notes
 
-* The dataset contains **400 images** created with **Qwen-Edit-25-12**.
+* The dataset contains **376 images** created with **Qwen-Edit-25-12**.
 * The training run uses a paired img2img setup with:
 
   * `source_image` as the conditioning image
@@ -238,7 +238,7 @@ YOURACCOUNT/flux2-klein-4b-mc
 
 ## Blog and Video Links
 
-* **Blog:** [Read the build notes](#)
+* **Blog:** [Read the build notes](https://huggingface.co/blog/build-small-hackathon/minecraftify)
 * **YouTube:** [Watch the walkthrough](#)
 
 ## Link to Notebooks Used

app.py

@@ -762,9 +762,6 @@ def _load_pipe():
 
     pipe.set_progress_bar_config(disable=False)
 
-    shutil.rmtree(LORA_DIR, ignore_errors=True)
-    shutil.rmtree(LORA_CACHE_DIR, ignore_errors=True)
-
     _pipe = pipe
     _pipe_ready = True
     log_event("Pipeline ready")
@@ -1007,12 +1004,6 @@ with gr.Blocks(**BLOCKS_KWARGS) as demo:
                 )
 
                 with gr.Accordion("⚙️ Advanced Settings", open=False):
-                    steps = gr.Slider(
-                        minimum=1, maximum=15, value=2, step=1,
-                        label="⚡ Inference Steps",
-                        info="Higher = better quality, slower generation",
-                    )
-
                     guidance_scale = gr.Slider(
                         minimum=1.0, maximum=10.0, value=3.0, step=0.5,
                         label="🧭 Guidance Scale",