Fix

app.py

@@ -1,13 +1,11 @@
-import os, gc, random
+import gc, random
 import gradio as gr
 import torch, spaces
 from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
 
 # ---- config ----
 MODEL_ID = "runwayml/stable-diffusion-v1-5"
-DTYPE = torch.float16  # ZeroGPU slice supports fp16
-HF_TOKEN = os.getenv("HF_TOKEN")  # optional (only for private models)
-AUTH = {"token": HF_TOKEN} if HF_TOKEN else {}
+DTYPE = torch.float16  # ZeroGPU slice runs fp16 nicely
 
 # lazy cache
 _PIPE = None
@@ -21,13 +19,12 @@ def get_pipe():
             safety_checker=None,
             use_safetensors=True,
             low_cpu_mem_usage=True,
-            **AUTH
         )
         # fast, stable scheduler
         pipe.scheduler = DPMSolverMultistepScheduler.from_config(
             pipe.scheduler.config, use_karras_sigmas=True, algorithm_type="dpmsolver++"
         )
-        # memory savers (good for Spaces/ZeroGPU)
+        # memory savers (great for Spaces/ZeroGPU)
         pipe.enable_attention_slicing()
         pipe.enable_vae_slicing()
         pipe.enable_model_cpu_offload()
@@ -63,9 +60,9 @@ def generate(prompt: str, negative: str, steps: int, cfg: float, width: int, hei
         )
     return out.images[0]
 
-# -------- UI (one output, zero fancy) --------
+# -------- UI --------
 with gr.Blocks() as demo:
-    gr.Markdown("# 🎨 Stable Diffusion 1.5 — ZeroGPU (minimal)")
+    gr.Markdown("# 🎨 Stable Diffusion 1.5 — ZeroGPU (public, minimal)")
 
     with gr.Row():
         with gr.Column():
@@ -83,5 +80,5 @@ with gr.Blocks() as demo:
     btn.click(generate, [prompt, negative, steps, cfg, width, height, seed], out)
 
 if __name__ == "__main__":
-    # keep it plain so the Space "just builds"
+    # Keep it plain so the Space builds cleanly
     demo.launch()