The Space currently returns pure noise for every generation (verified live: 30 steps, guidance 4.0, seed 42 on the model card's own example returns an 832x1152 image of RGB noise).
### Root cause: the AoTI graph runs all 40 blocks with block 0's weights
`package.pt2` is exported with the block's weights as *runtime* constants, so one compiled graph can serve all 40 `JoyImageEditPlusTransformerBlock`s — but each block still has to be bound to **its own** weights. The current code builds a single `ZeroGPUCompiledModel` from `_blocks[0].state_dict()` and applies that same instance to every block:
```python
_weights = ZeroGPUWeights(_blocks[0].state_dict(), to_cuda=True)
_compiled = ZeroGPUCompiledModel(_pt2_path, _weights)
for _blk in _blocks:
spaces.aoti_apply(_compiled, _blk)
```
`ZeroGPUCompiledModel.__call__` loads `self.weights.constants_map` once and reuses it, so the transformer effectively becomes block 0 repeated 40 times — no error, just noise.
The supported API does th…
