| ```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) |
|
|
