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from fastapi import FastAPI, UploadFile, File, HTTPException, Query | |
from fastapi.responses import FileResponse | |
import os | |
import shutil | |
import uuid | |
import requests | |
from typing import Optional | |
from app.utils import run_inference | |
from huggingface_hub import login | |
hf_token = os.environ.get("HF_TOKEN") | |
print(hf_token) | |
login(token=hf_token) | |
app = FastAPI(title="Stable Fast 3D API") | |
async def root(): | |
return {"message": "Welcome to Stable Fast 3D API. Use /generate-3d endpoint to convert 2D images to 3D models."} | |
async def generate_3d_model_upload(image: UploadFile = File(...)): | |
"""Generate 3D model from uploaded image file""" | |
return await process_image(image=image) | |
async def generate_3d_model_url(image_url: str = Query(..., description="URL of the image to convert to 3D")): | |
"""Generate 3D model from image URL""" | |
return await process_image(image_url=image_url) | |
async def process_image(image: Optional[UploadFile] = None, image_url: Optional[str] = None): | |
# Create unique ID for this request | |
temp_id = str(uuid.uuid4()) | |
input_path = f"/app/tmp/{temp_id}.png" | |
output_dir = f"/app/tmp/{temp_id}_output" | |
os.makedirs(output_dir, exist_ok=True) | |
try: | |
# Handle image from upload or URL | |
if image: | |
with open(input_path, "wb") as f: | |
shutil.copyfileobj(image.file, f) | |
elif image_url: | |
response = requests.get(image_url, stream=True) | |
if response.status_code != 200: | |
raise HTTPException(status_code=400, detail="Could not download image from URL") | |
with open(input_path, "wb") as f: | |
for chunk in response.iter_content(chunk_size=8192): | |
f.write(chunk) | |
else: | |
raise HTTPException(status_code=400, detail="Either image file or image URL must be provided") | |
# Run the inference | |
glb_path = run_inference(input_path, output_dir) | |
if not os.path.exists(glb_path): | |
raise HTTPException(status_code=500, detail="Failed to generate 3D model") | |
# Return the GLB file | |
return FileResponse( | |
path=glb_path, | |
media_type="model/gltf-binary", | |
filename="model.glb", | |
headers={"Content-Disposition": f"attachment; filename=model.glb"} | |
) | |
except Exception as e: | |
raise HTTPException(status_code=500, detail=f"Error processing image: {str(e)}") | |
finally: | |
# Clean up temporary files | |
if os.path.exists(input_path): | |
os.remove(input_path) |