text
stringlengths 0
566
|
|---|
```CODE:
|
import torch
|
from diffusers import DiffusionPipeline
|
# switch to "mps" for apple devices
|
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
|
pipe.load_lora_weights("ostris/zimage_turbo_training_adapter")
|
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
|
image = pipe(prompt).images[0]
|
```
|
ERROR:
|
Traceback (most recent call last):
|
File "/tmp/ostris_zimage_turbo_training_adapter_0mJCxL8.py", line 27, in <module>
|
pipe = DiffusionPipeline.from_pretrained("Tongyi-MAI/Z-Image-Turbo", dtype=torch.bfloat16, device_map="cuda")
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
return fn(*args, **kwargs)
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1021, in from_pretrained
|
loaded_sub_model = load_sub_model(
|
library_name=library_name,
|
...<21 lines>...
|
quantization_config=quantization_config,
|
)
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 876, in load_sub_model
|
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
return fn(*args, **kwargs)
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1296, in from_pretrained
|
) = cls._load_pretrained_model(
|
~~~~~~~~~~~~~~~~~~~~~~~~~~^
|
model,
|
^^^^^^
|
...<13 lines>...
|
is_parallel_loading_enabled=is_parallel_loading_enabled,
|
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
)
|
^
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1635, in _load_pretrained_model
|
_caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
|
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
File "/tmp/.cache/uv/environments-v2/25238aa61236a1ed/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 751, in _caching_allocator_warmup
|
_ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
|
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 11.46 GiB. GPU 0 has a total capacity of 22.03 GiB of which 6.86 GiB is free. Including non-PyTorch memory, this process has 15.17 GiB memory in use. Of the allocated memory 14.98 GiB is allocated by PyTorch, and 3.50 MiB 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)
|
No dataset card yet
- Downloads last month
- 3,801