Dockerfile

FROM python:3.10-slim

# System dependencies
RUN apt-get update && apt-get install -y git wget && rm -rf /var/lib/apt/lists/*

WORKDIR /workspace

# Install Python dependencies
COPY requirements.txt .
RUN pip install --upgrade pip && pip install --no-cache-dir -r requirements.txt

# Set Hugging Face cache for all model downloads (best practice for Spaces)
# ENV HF_HOME="/workspace/.cache/huggingface"
# RUN mkdir -p /workspace/.cache/huggingface


# ENV CACHE_DIR="/workspace/.cache"
# ENV HF_HOME="/workspace/.cache/huggingface"
# ENV TRANSFORMERS_CACHE="/workspace/.cache/huggingface"
# RUN mkdir -p /workspace/.cache/huggingface/hub && \
#     chmod -R 777 /workspace/.cache

ENV CACHE_DIR="/data"
ENV HF_HOME="/data/huggingface"
ENV TRANSFORMERS_CACHE="/data/huggingface"
RUN mkdir -p /data/huggingface/models
RUN mkdir -p /data/huggingface/hub/models--h94--IP-Adapter
RUN mkdir -p /data/huggingface/.locks && chmod -R 777 /data


# Pre-download Stable Diffusion v1-5 weights into cache
RUN python -c "import torch; from diffusers import StableDiffusionImg2ImgPipeline; StableDiffusionImg2ImgPipeline.from_pretrained('runwayml/stable-diffusion-v1-5', cache_dir='/workspace/.cache/huggingface', torch_dtype=torch.float32)"

# Pre-download IP-Adapter weights (if using)
# RUN mkdir -p /workspace/.cache/huggingface/ip_adapter && \
#     wget -O /workspace/.cache/huggingface/ip_adapter/ip-adapter_sd15.bin https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.bin

# Copy app code
COPY . .

# Disable Gradio analytics (optional, but good for Spaces)
ENV GRADIO_ANALYTICS_ENABLED="False"

CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

# EXPOSE 7860

# CMD ["python", "app.py"]








# FROM python:3.10-slim

# # System dependencies
# RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*

# WORKDIR /workspace

# # Install Python dependencies
# COPY requirements.txt .
# RUN pip install --upgrade pip && pip install --no-cache-dir -r requirements.txt

# # Download models and adapters at build time
# # You can replace MODEL_ID or adapter repos as needed

# ENV CACHE_DIR="/data"
# ENV HF_HOME="/data"
# # ENV TRANSFORMERS_CACHE="/data"
# # ENV DEEPFACE_HOME="/data"
# # ENV INSIGHTFACE_HOME="/data/.insightface"
# RUN mkdir -p /data && \
#     chmod -R 777 /data

# # -- Download Stable Diffusion v1-5 weights --
# # RUN python -c "from diffusers import StableDiffusionImg2ImgPipeline; StableDiffusionImg2ImgPipeline.from_pretrained('runwayml/stable-diffusion-v1-5', cache_dir='./models', torch_dtype='float32')"
# RUN python -c "import torch; from diffusers import StableDiffusionImg2ImgPipeline; StableDiffusionImg2ImgPipeline.from_pretrained('runwayml/stable-diffusion-v1-5', cache_dir='./models', torch_dtype=torch.float32)"


# RUN apt-get update && apt-get install -y wget

# # -- Download IP-Adapter weights (official Hugging Face repo) --
# RUN mkdir -p ./models/ip_adapter && \
#     wget -O ./models/ip_adapter/ip-adapter_sd15.bin https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.bin


# # Set Hugging Face cache for all model downloads (best practice for Spaces)
# ENV TRANSFORMERS_CACHE="/workspace/.cache/huggingface"
# RUN mkdir -p /workspace/.cache/huggingface && \
#     chmod -R 777 /workspace

# # Pre-download Stable Diffusion v1-5 weights into cache
# RUN python -c "import torch; from diffusers import StableDiffusionImg2ImgPipeline; StableDiffusionImg2ImgPipeline.from_pretrained('runwayml/stable-diffusion-v1-5', cache_dir='/workspace/.cache/huggingface', torch_dtype=torch.float32)"

# # Pre-download IP-Adapter weights (if using)
# RUN mkdir -p /workspace/.cache/huggingface/ip_adapter && \
#     wget -O /workspace/.cache/huggingface/ip_adapter/ip-adapter_sd15.bin https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.bin




# # Copy app code
# COPY . .

# # Set environment (disable gradio analytics, useful for Spaces)
# ENV GRADIO_ANALYTICS_ENABLED="False"

# EXPOSE 7860

# CMD ["python", "app.py"]