Spaces:
Running
Running
exact copy of working private Space: Docker + n-Arno V1 Turbo + CFG 1 (899s proven)
Browse files- Dockerfile +22 -0
- README.md +1 -3
- app.py +8 -43
- requirements.txt +0 -3
Dockerfile
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FROM python:3.11-slim
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git cmake build-essential && \
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rm -rf /var/lib/apt/lists/*
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RUN git clone --depth 1 --recurse-submodules https://github.com/leejet/stable-diffusion.cpp /tmp/sdcpp && \
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cd /tmp/sdcpp && mkdir build && cd build && \
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cmake .. -DCMAKE_BUILD_TYPE=Release \
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-DSD_BUILD_SHARED_LIBS=OFF && \
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cmake --build . --config Release -j1 && \
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cp bin/sd-cli /usr/local/bin/sd-cli && \
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rm -rf /tmp/sdcpp
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RUN pip install --no-cache-dir "gradio[mcp]" Pillow huggingface-hub
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WORKDIR /app
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COPY app.py .
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COPY README.md .
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EXPOSE 7860
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CMD ["python", "app.py"]
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README.md
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@@ -3,9 +3,7 @@ title: Anima Base v1.0 CPU
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emoji: 🎨
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colorFrom: indigo
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colorTo: red
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sdk:
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sdk_version: 6.14.0
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app_file: app.py
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pinned: false
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license: other
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short_description: Anime image generation with Anima Base v1.0 on CPU
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emoji: 🎨
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colorFrom: indigo
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colorTo: red
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sdk: docker
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pinned: false
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license: other
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short_description: Anime image generation with Anima Base v1.0 on CPU
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app.py
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@@ -31,47 +31,13 @@ def _ensure_file(repo_id, filename, dest_dir):
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return hf_hub_download(repo_id=repo_id, filename=filename, local_dir=dest_dir)
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BIN_DIR = os.environ.get("ANIMA_BIN_DIR", "/tmp/anima_bin")
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os.makedirs(BIN_DIR, exist_ok=True)
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SDCLI_RELEASE_URL = (
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"https://github.com/leejet/stable-diffusion.cpp/releases/download/"
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"master-615-67dda3f/sd-master-67dda3f-bin-Linux-Ubuntu-24.04-x86_64.zip"
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)
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def _ensure_sdcli():
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"""Find sd-cli in PATH
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for candidate in [
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os.path.join(BIN_DIR, "sd-cli"),
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shutil.which("sd-cli"),
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shutil.which("sd-cli.exe"),
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]:
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if candidate and os.path.isfile(candidate):
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return candidate
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print("[init] sd-cli not in PATH. Build stable-diffusion.cpp from source.")
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sys.exit(1)
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print("[init] Downloading pre-built sd-cli...")
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zip_path = os.path.join(BIN_DIR, "sdcli.zip")
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subprocess.run(["curl", "-sL", "-o", zip_path, SDCLI_RELEASE_URL], check=True)
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with zipfile.ZipFile(zip_path) as zf:
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for name in zf.namelist():
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basename = os.path.basename(name)
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if basename in ("sd-cli", "libstable-diffusion.so"):
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dest = os.path.join(BIN_DIR, basename)
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with zf.open(name) as src, open(dest, "wb") as dst:
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shutil.copyfileobj(src, dst)
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os.chmod(dest, os.stat(dest).st_mode | stat.S_IEXEC)
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os.remove(zip_path)
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cli_path = os.path.join(BIN_DIR, "sd-cli")
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if not os.path.isfile(cli_path):
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raise RuntimeError("sd-cli not found in release zip")
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print(f"[init] sd-cli ready at {cli_path}")
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return cli_path
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SDCLI_PATH = None
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global _active_t0, _user_killed
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env = os.environ.copy()
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env.update(_CHILD_ENV_OVERRIDES)
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env["LD_LIBRARY_PATH"] = BIN_DIR + ":" + env.get("LD_LIBRARY_PATH", "")
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_trim_process_memory()
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# Disk-backed logs avoid growing the Gradio host RSS throughout a long verbose run.
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print("[init] Ensuring AIO GGUF model file...")
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t0 = time.time()
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aio_path = _ensure_file(
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"n-Arno/Anima-P3-Turbo-AIO-Q4_K", "
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MODELS_DIR,
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)
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print(f"[init] Model ready in {time.time()-t0:.1f}s")
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analytics_enabled=False,
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) as demo:
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gr.Markdown(
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"**[
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"([DiT anima-base-v1.0](https://huggingface.co/circlestone-labs/Anima) "
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"+ [
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"via [sd.cpp](https://github.com/leejet/stable-diffusion.cpp) | "
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f"CFG {CFG}, {SAMPLER} | CPU ~15m @512x512"
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)
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return hf_hub_download(repo_id=repo_id, filename=filename, local_dir=dest_dir)
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def _ensure_sdcli():
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"""Find sd-cli in PATH (Docker provides it) or local build."""
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for candidate in [shutil.which("sd-cli"), shutil.which("sd-cli.exe")]:
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if candidate and os.path.isfile(candidate):
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return candidate
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print("[init] sd-cli not found. In Docker it's pre-installed. Locally, build stable-diffusion.cpp.")
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sys.exit(1)
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SDCLI_PATH = None
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global _active_t0, _user_killed
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env = os.environ.copy()
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env.update(_CHILD_ENV_OVERRIDES)
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_trim_process_memory()
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# Disk-backed logs avoid growing the Gradio host RSS throughout a long verbose run.
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print("[init] Ensuring AIO GGUF model file...")
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t0 = time.time()
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aio_path = _ensure_file(
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"n-Arno/Anima-P3-Turbo-AIO-Q4_K", "nArnima-Turbo-SdCpp_Q4_K.gguf",
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MODELS_DIR,
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)
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print(f"[init] Model ready in {time.time()-t0:.1f}s")
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analytics_enabled=False,
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) as demo:
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gr.Markdown(
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"**[n-Arno Anima-V1-Turbo AIO Q4_K](https://huggingface.co/n-Arno/Anima-P3-Turbo-AIO-Q4_K)** GGUF "
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"(VAE + LLM + [DiT anima-base-v1.0](https://huggingface.co/circlestone-labs/Anima) "
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"+ [Turbo LoRA](https://civitai.com/models/2560840/anima-turbo-lora) merged) "
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"via [sd.cpp](https://github.com/leejet/stable-diffusion.cpp) | "
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f"CFG {CFG}, {SAMPLER} | CPU ~15m @512x512"
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)
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requirements.txt
DELETED
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gradio[mcp]
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Pillow
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huggingface-hub
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