REM =====================================================
REM USAR PYTHON EMBEDDED DO COMFYUI (CUDA 12.8)
REM =====================================================

cd /d D:\ComfyUI_windows_portable_nvidia_cu128\ComfyUI_windows_portable

REM -----------------------------------------------------
REM ATIVAR PYTHON EMBEDDED
REM -----------------------------------------------------
set PYTHON=python_embeded\python.exe
set PIP=python_embeded\python.exe -m pip

REM -----------------------------------------------------
REM ATUALIZAR FERRAMENTAS BASE
REM -----------------------------------------------------
%PYTHON% -m ensurepip
%PIP% install --upgrade pip setuptools wheel

REM -----------------------------------------------------
REM LIMPAR PACOTES QUE CAUSAM DLL ERROR
REM -----------------------------------------------------
%PIP% uninstall -y torch torchvision torchaudio diffusers xformers accelerate safetensors

REM -----------------------------------------------------
REM INSTALAR PYTORCH COMPATÍVEL COM CUDA 12.8
REM -----------------------------------------------------
%PIP% install torch==2.3.1+cu121 torchvision==0.18.1+cu121 torchaudio==2.3.1+cu121 --index-url https://download.pytorch.org/whl/cu121

REM -----------------------------------------------------
REM INSTALAR DEPENDÊNCIAS EXATAS PARA VIDEOMAMA
REM -----------------------------------------------------
%PIP% install diffusers==0.24.0
%PIP% install accelerate==0.25.0
%PIP% install safetensors==0.4.2
%PIP% install transformers==4.36.2
%PIP% install huggingface_hub==0.20.3
%PIP% install einops numpy pillow tqdm scipy packaging

REM -----------------------------------------------------
REM XFORMERS COMPATÍVEL
REM -----------------------------------------------------
%PIP% install xformers==0.0.26.post1

REM -----------------------------------------------------
REM TESTE FINAL (CRÍTICO)
REM -----------------------------------------------------
%PYTHON% - << EOF
import torch
from diffusers.models.autoencoders import autoencoder_kl_temporal_decoder
print("Torch:", torch.__version__)
print("CUDA:", torch.cuda.is_available())
print("OK: autoencoder_kl_temporal_decoder carregado")
EOF