{error=}\\\")\\nvefuser.core.common.exceptions.RayEngineProcessError: Worker failed to complete request: request_id='{{{redacted}}}', error='DiTPipeline process failed: EulerError, error_code: 100202, message: do predict failed. err=CUDA out of memory. Tried to allocate 2.00 GiB. GPU 0 has a total capacity of 44.53 GiB of which 1003.94 MiB is free. Process 1733111 has 43.54 GiB memory in use. Of the allocated memory 36.01 GiB is allocated by PyTorch, and 6.12 GiB is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)'\\n Request id: {{{redacted}}}\",\"param\":\"\",\"type\":\"\"}}"

https://redd.it/1pbdo6j
@rStableDiffusion

Z-Image: My random realism tests

https://redd.it/1pbhly4
@rStableDiffusion

Z image might be the legitimate XL successor 🥹

https://redd.it/1pbk9yc
@rStableDiffusion

z-image life, fashion, odd. Exploring lighting and other concepts.

https://redd.it/1pbh0f9
@rStableDiffusion