model-metadata/code_execution_files · Datasets at Hugging Face

text stringlengths 0 570
Everything was good in black-forest-labs_FLUX.1-Kontext-dev_0.txt
```CODE:
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", 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/black-forest-labs_FLUX.1-Kontext-dev_19uhjDC.py", line 28, in <module>
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda")
File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, 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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained
) = cls._load_pretrained_model(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
model,
^^^^^^
...<13 lines>...
is_parallel_loading_enabled=is_parallel_loading_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model
_caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup
_ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 21.05 GiB is free. Including non-PyTorch memory, this process has 998.00 MiB memory in use. Of the allocated memory 792.19 MiB is allocated by PyTorch, and 19.81 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)
Everything was good in black-forest-labs_FLUX.1-dev_0.txt
```CODE:
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")

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/black-forest-labs_FLUX.1-dev_14Yo0Kj.py", line 27, in <module>
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, 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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, in load_sub_model
loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)
File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained
) = cls._load_pretrained_model(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
model,
^^^^^^
...<13 lines>...
is_parallel_loading_enabled=is_parallel_loading_enabled,
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model
_caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)
~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup
_ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 3.31 GiB is free. Including non-PyTorch memory, this process has 18.71 GiB memory in use. Of the allocated memory 18.51 GiB is allocated by PyTorch, and 18.54 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)

Everything was good in black-forest-labs_FLUX.1-Kontext-dev_0.txt

```CODE:

import torch

from diffusers import DiffusionPipeline

from diffusers.utils import load_image

# switch to "mps" for apple devices

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", 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/black-forest-labs_FLUX.1-Kontext-dev_19uhjDC.py", line 28, in <module>

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda")

File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, 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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, in load_sub_model

loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)

File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/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/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained

) = cls._load_pretrained_model(

~~~~~~~~~~~~~~~~~~~~~~~~~~^

model,

^^^^^^

...<13 lines>...

is_parallel_loading_enabled=is_parallel_loading_enabled,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model

_caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)

~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup

_ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)

torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 21.05 GiB is free. Including non-PyTorch memory, this process has 998.00 MiB memory in use. Of the allocated memory 792.19 MiB is allocated by PyTorch, and 19.81 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)

Everything was good in black-forest-labs_FLUX.1-dev_0.txt

```CODE:

import torch

from diffusers import DiffusionPipeline

# switch to "mps" for apple devices

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")

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/black-forest-labs_FLUX.1-dev_14Yo0Kj.py", line 27, in <module>

pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")

File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1025, 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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/pipelines/pipeline_loading_utils.py", line 860, in load_sub_model

loaded_sub_model = load_method(os.path.join(cached_folder, name), **loading_kwargs)

File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/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/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1288, in from_pretrained

) = cls._load_pretrained_model(

~~~~~~~~~~~~~~~~~~~~~~~~~~^

model,

^^^^^^

...<13 lines>...

is_parallel_loading_enabled=is_parallel_loading_enabled,

^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

)

^

File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/modeling_utils.py", line 1537, in _load_pretrained_model

_caching_allocator_warmup(model, expanded_device_map, dtype, hf_quantizer)

~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

File "/tmp/.cache/uv/environments-v2/b90b3a1935bc74f7/lib/python3.13/site-packages/diffusers/models/model_loading_utils.py", line 754, in _caching_allocator_warmup

_ = torch.empty(warmup_elems, dtype=dtype, device=device, requires_grad=False)

torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 22.17 GiB. GPU 0 has a total capacity of 22.03 GiB of which 3.31 GiB is free. Including non-PyTorch memory, this process has 18.71 GiB memory in use. Of the allocated memory 18.51 GiB is allocated by PyTorch, and 18.54 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)