Gradio SDK + n-Arno V1 Turbo AIO + CFG 1 + pre-built binary

Dockerfile

@@ -1,22 +0,0 @@
-FROM python:3.11-slim
-
-RUN apt-get update && apt-get install -y --no-install-recommends \
-    git cmake build-essential && \
-    rm -rf /var/lib/apt/lists/*
-
-RUN git clone --depth 1 --recurse-submodules https://github.com/leejet/stable-diffusion.cpp /tmp/sdcpp && \
-    cd /tmp/sdcpp && mkdir build && cd build && \
-    cmake .. -DCMAKE_BUILD_TYPE=Release \
-             -DSD_BUILD_SHARED_LIBS=OFF && \
-    cmake --build . --config Release -j1 && \
-    cp bin/sd-cli /usr/local/bin/sd-cli && \
-    rm -rf /tmp/sdcpp
-
-RUN pip install --no-cache-dir "gradio[mcp]" Pillow huggingface-hub
-
-WORKDIR /app
-COPY app.py .
-COPY README.md .
-
-EXPOSE 7860
-CMD ["python", "app.py"]

README.md

@@ -3,7 +3,9 @@ title: Anima Base v1.0 CPU
 emoji: 🎨
 colorFrom: indigo
 colorTo: red
-sdk: docker
+sdk: gradio
+sdk_version: 6.14.0
+app_file: app.py
 pinned: false
 license: other
 short_description: Anime image generation with Anima Base v1.0 on CPU

app.py

@@ -31,13 +31,47 @@ def _ensure_file(repo_id, filename, dest_dir):
     return hf_hub_download(repo_id=repo_id, filename=filename, local_dir=dest_dir)
 
 
+BIN_DIR = os.environ.get("ANIMA_BIN_DIR", "/tmp/anima_bin")
+os.makedirs(BIN_DIR, exist_ok=True)
+
+SDCLI_RELEASE_URL = (
+    "https://github.com/leejet/stable-diffusion.cpp/releases/download/"
+    "master-615-67dda3f/sd-master-67dda3f-bin-Linux-Ubuntu-24.04-x86_64.zip"
+)
+
+
 def _ensure_sdcli():
-    """Find sd-cli in PATH (Docker provides it) or local build."""
-    for candidate in [shutil.which("sd-cli"), shutil.which("sd-cli.exe")]:
+    """Find sd-cli in PATH or download pre-built binary."""
+    import zipfile, stat
+    for candidate in [
+        os.path.join(BIN_DIR, "sd-cli"),
+        shutil.which("sd-cli"),
+        shutil.which("sd-cli.exe"),
+    ]:
         if candidate and os.path.isfile(candidate):
             return candidate
-    print("[init] sd-cli not found. In Docker it's pre-installed. Locally, build stable-diffusion.cpp.")
-    sys.exit(1)
+
+    if sys.platform == "win32":
+        print("[init] sd-cli not in PATH. Build stable-diffusion.cpp from source.")
+        sys.exit(1)
+
+    print("[init] Downloading pre-built sd-cli...")
+    zip_path = os.path.join(BIN_DIR, "sdcli.zip")
+    subprocess.run(["curl", "-sL", "-o", zip_path, SDCLI_RELEASE_URL], check=True)
+    with zipfile.ZipFile(zip_path) as zf:
+        for name in zf.namelist():
+            basename = os.path.basename(name)
+            if basename in ("sd-cli", "libstable-diffusion.so"):
+                dest = os.path.join(BIN_DIR, basename)
+                with zf.open(name) as src, open(dest, "wb") as dst:
+                    shutil.copyfileobj(src, dst)
+                os.chmod(dest, os.stat(dest).st_mode | stat.S_IEXEC)
+    os.remove(zip_path)
+    cli_path = os.path.join(BIN_DIR, "sd-cli")
+    if not os.path.isfile(cli_path):
+        raise RuntimeError("sd-cli not found in release zip")
+    print(f"[init] sd-cli ready at {cli_path}")
+    return cli_path
 
 
 SDCLI_PATH = None
@@ -50,7 +84,7 @@ _proc_lock = threading.Lock()
 DEFAULT_NEGATIVE = "worst quality, low quality, score_1, score_2, score_3, artist name"
 DEFAULT_RESOLUTION = "512x512"
 RESOLUTIONS = ["512x512", "768x512", "512x768"]
-CFG = 2.0
+CFG = 1.0
 SAMPLER = "er_sde"
 SCHEDULER = "smoothstep"
 DEFAULT_STEPS = 8
@@ -112,6 +146,7 @@ def _run_sdcli(cmd, timeout=TIMEOUT):
     global _active_t0, _user_killed
     env = os.environ.copy()
     env.update(_CHILD_ENV_OVERRIDES)
+    env["LD_LIBRARY_PATH"] = BIN_DIR + ":" + env.get("LD_LIBRARY_PATH", "")
     _trim_process_memory()
 
     # Disk-backed logs avoid growing the Gradio host RSS throughout a long verbose run.
@@ -266,7 +301,7 @@ def _init_models():
     print("[init] Ensuring AIO GGUF model file...")
     t0 = time.time()
     aio_path = _ensure_file(
-        "WeReCooking/Anima-v1.0-Turbo-AIO-Q4_K", "Anima-base-v1.0-Turbo-AIO-Q4_K.gguf",
+        "n-Arno/Anima-P3-Turbo-AIO-Q4_K", "Anima-V1-Turbo-AIO-Q4_K.gguf",
         MODELS_DIR,
     )
     print(f"[init] Model ready in {time.time()-t0:.1f}s")
@@ -303,9 +338,9 @@ def main():
         analytics_enabled=False,
     ) as demo:
         gr.Markdown(
-            "**[Anima Base v1.0 + Turbo AIO Q4_K](https://huggingface.co/WeReCooking/Anima-v1.0-Turbo-AIO-Q4_K)** GGUF "
-            "(VAE + LLM + [DiT anima-base-v1.0](https://huggingface.co/circlestone-labs/Anima) "
-            "+ [Turbo LoRA](https://civitai.com/models/2560840/anima-turbo-lora) merged) "
+            "**[Anima V1 Turbo AIO Q4_K](https://huggingface.co/n-Arno/Anima-P3-Turbo-AIO-Q4_K)** GGUF "
+            "([DiT anima-base-v1.0](https://huggingface.co/circlestone-labs/Anima) "
+            "+ [DMD2 Turbo](https://civitai.red/models/2619830) + abliterated TE) "
             "via [sd.cpp](https://github.com/leejet/stable-diffusion.cpp) | "
             f"CFG {CFG}, {SAMPLER} | CPU ~15m @512x512"
         )

requirements.txt

@@ -0,0 +1,3 @@
+gradio[mcp]
+Pillow
+huggingface-hub