use WeReCooking encoder, remove HF_TOKEN

app.py

@@ -54,10 +54,10 @@ vae_path = find_model(VAE_FILE)
 try:
     llm_path = find_model(LLM_FILE)
 except FileNotFoundError:
-    print("[init] Downloading gated uncensored text encoder...")
+    print("[init] Downloading uncensored text encoder...")
     llm_path = hf_hub_download(
-        repo_id="Cordux/flux2-klein-4B-uncensored-text-encoder",
-        filename=LLM_FILE, token=os.environ.get("HF_TOKEN"),
+        repo_id="WeReCooking/flux2-klein-4B-uncensored-text-encoder",
+        filename=LLM_FILE,
     )
 
 print(f"[init] Diffusion: {diffusion_path}")
@@ -96,8 +96,7 @@ def download_lora(repo_id: str) -> tuple[str, str]:
     if not repo_id or repo_id.startswith("("):
         return "", "Select a LoRA first"
     try:
-        token = os.environ.get("HF_TOKEN")
-        files = list_repo_files(repo_id, token=token)
+        files = list_repo_files(repo_id)
         sf_files = [f for f in files if f.endswith(".safetensors")]
         if not sf_files:
             return "", f"No .safetensors found in {repo_id}"
@@ -114,7 +113,7 @@ def download_lora(repo_id: str) -> tuple[str, str]:
             size_mb = os.path.getsize(lora_dst) / 1024**2
             return label, f"Already cached ({size_mb:.0f} MB)"
         print(f"[lora] Downloading {repo_id}/{target}...")
-        src = hf_hub_download(repo_id=repo_id, filename=target, token=token)
+        src = hf_hub_download(repo_id=repo_id, filename=target)
         shutil.copy2(src, lora_dst)
         size_mb = os.path.getsize(lora_dst) / 1024**2
         DOWNLOADED_LORAS[label] = lora_name
@@ -257,7 +256,7 @@ with gr.Blocks(theme="NoCrypt/miku", title="FLUX.2 Klein 4B CPU") as demo:
     lora_search.select(fn=on_lora_select, inputs=[lora_search, active_loras], outputs=[active_loras, lora_status, lora_search])
     gen_btn.click(fn=generate, inputs=[prompt, ref_image, resolution, steps, seed, lora_strength, active_loras], outputs=[output_image, status_text])
 
-    gr.Markdown("---\nsd.cpp Q4_K_M | Cordux uncensored encoder | "
+    gr.Markdown("---\nsd.cpp Q4_K_M | Uncensored encoder | "
                 "[BFL](https://bfl.ai/models/flux-2-klein) | [sd.cpp](https://github.com/leejet/stable-diffusion.cpp) | "
                 "[Browse LoRAs](https://huggingface.co/models?search=klein+4b&filter=lora)")