ironjr / StreamMultiDiffusion

Official code for the paper "StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control."
https://jaerinlee.com/research/streammultidiffusion
MIT License
518 stars 43 forks source link

Using 1.5 model to report an error #15

Closed yhqqxq closed 2 months ago

yhqqxq commented 2 months ago

Has mask: [0] 0%| | 0/5 [00:01<?, ?it/s] Traceback (most recent call last): File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\gradio\queueing.py", line 527, in process_events response = await route_utils.call_process_api( File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\gradio\route_utils.py", line 261, in call_process_api output = await app.get_blocks().process_api( File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\gradio\blocks.py", line 1788, in process_api result = await self.call_function( File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\gradio\blocks.py", line 1340, in call_function prediction = await anyio.to_thread.run_sync( File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\anyio\to_thread.py", line 56, in run_sync return await get_async_backend().run_sync_in_worker_thread( File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\anyio_backends_asyncio.py", line 2177, in run_sync_in_worker_thread return await future File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\anyio_backends_asyncio.py", line 859, in run result = context.run(func, args) File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\gradio\utils.py", line 759, in wrapper response = f(args, kwargs) File "G:\AI\AI\tool\StreamMultiDiffusion\demo\semantic_palette\app.py", line 325, in run return generate( File "G:\AI\AI\tool\StreamMultiDiffusion\demo\semantic_palette\app.py", line 271, in generate return models[state.model_id](*args, *kwargs) File "G:\AI\AI\tool\StreamMultiDiffusion\env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "G:\AI\AI\tool\StreamMultiDiffusion./src\model\pipeline_stablemultidiffusion.py", line 1064, in call bglatent = mixratio * white + (1.0 - mix_ratio) * bglatent RuntimeError: The size of tensor a (64) must match the size of tensor b (65) at non-singleton dimension 3

There is no problem with other modes, only this 1.5 is wrong so,How to solve it?