macOS 15.1.1 (24B91)，M3 chip , 使用1B模型时(通过 app_januspro.py)，图片对话正常，但生成图片报错 RuntimeError: Input type (c10::BFloat16) and bias type (c10::Half) should be the same,

[craii]

raceback (most recent call last): File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/gradio/queueing.py", line 536, in process_events response = await route_utils.call_process_api( File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/gradio/route_utils.py", line 322, in call_process_api output = await app.get_blocks().process_api( File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/gradio/blocks.py", line 1935, in process_api result = await self.call_function( File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/gradio/blocks.py", line 1520, in call_function prediction = await anyio.to_thread.run_sync( # type: ignore File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/anyio/to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 2364, in run_sync_in_worker_thread return await future File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/anyio/_backends/_asyncio.py", line 864, in run result = context.run(func, *args) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/gradio/utils.py", line 826, in wrapper response = f(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "./demo/app_januspro.py", line 160, in generate_image output, patches = generate(input_ids, File "./demo/app_januspro.py", line 118, in generate patches = vl_gpt.gen_vision_model.decode_code(generated_tokens.to(dtype=torch.int), File "/Users/eliascheung/Documents/Janus/janus/models/vq_model.py", line 507, in decode_code dec = self.decode(quant_b) File "/Users/eliascheung/Documents/Janus/janus/models/vq_model.py", line 502, in decode dec = self.decoder(quant) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl return forward_call(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/janus/models/vq_model.py", line 208, in forward h = block.upsample(h) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl return forward_call(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/janus/models/vq_model.py", line 426, in forward x = self.conv(x) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1553, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1562, in _call_impl return forward_call(*args, **kwargs) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 458, in forward return self._conv_forward(input, self.weight, self.bias) File "/Users/eliascheung/Documents/Janus/WORKENV/lib/python3.8/site-packages/torch/nn/modules/conv.py", line 454, in _conv_forward return F.conv2d(input, weight, bias, self.stride, RuntimeError: Input type (c10::BFloat16) and bias type (c10::Half) should be the same