File size: 3,184 Bytes
6dd45c0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | ```CODE:
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("FireRedTeam/FireRed-Image-Edit-1.0", dtype=torch.bfloat16, device_map="cuda")
prompt = "Turn this cat into a dog"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
image = pipe(image=input_image, prompt=prompt).images[0]
```
ERROR:
Traceback (most recent call last):
File "/tmp/FireRedTeam_FireRed-Image-Edit-1.0_04YcQbF.py", line 28, in <module>
pipe = DiffusionPipeline.from_pretrained("FireRedTeam/FireRed-Image-Edit-1.0", dtype=torch.bfloat16, device_map="cuda")
File "/tmp/.cache/uv/environments-v2/9df62dfb1ee82937/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 89, in _inner_fn
return fn(*args, **kwargs)
File "/tmp/.cache/uv/environments-v2/9df62dfb1ee82937/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-v2/9df62dfb1ee82937/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-v2/9df62dfb1ee82937/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 89, in _inner_fn
return fn(*args, **kwargs)
File "/tmp/.cache/uv/environments-v2/9df62dfb1ee82937/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-v2/9df62dfb1ee82937/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-v2/9df62dfb1ee82937/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 38.05 GiB. GPU 0 has a total capacity of 22.03 GiB of which 21.84 GiB is free. Including non-PyTorch memory, this process has 186.00 MiB memory in use. Of the allocated memory 0 bytes is allocated by PyTorch, and 0 bytes is reserved by PyTorch but unallocated. If reserved but unallocated memory is large try setting PYTORCH_ALLOC_CONF=expandable_segments:True to avoid fragmentation. See documentation for Memory Management (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)
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