Upload nvidia_ChronoEdit-14B-Diffusers_0.txt with huggingface_hub

nvidia_ChronoEdit-14B-Diffusers_0.txt

@@ -1,8 +1,10 @@
 ```CODE: 
+import torch
 from diffusers import DiffusionPipeline
 from diffusers.utils import load_image
 
-pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers")
+# switch to "mps" for apple devices
+pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", 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")
@@ -12,34 +14,33 @@ image = pipe(image=input_image, prompt=prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/nvidia_ChronoEdit-14B-Diffusers_09RnkZm.py", line 30, in <module>
-    image = pipe(image=input_image, prompt=prompt).images[0]
-            ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
-    return func(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/lib/python3.13/site-packages/diffusers/pipelines/wan/pipeline_wan_i2v.py", line 660, in __call__
-    prompt_embeds, negative_prompt_embeds = self.encode_prompt(
-                                            ~~~~~~~~~~~~~~~~~~^
-        prompt=prompt,
-        ^^^^^^^^^^^^^^
-    ...<6 lines>...
-        device=device,
-        ^^^^^^^^^^^^^^
+  File "/tmp/nvidia_ChronoEdit-14B-Diffusers_0IEzGH0.py", line 26, in <module>
+    pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda")
+  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/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/cc8e494e4eee1f68/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/cc8e494e4eee1f68/lib/python3.13/site-packages/diffusers/pipelines/wan/pipeline_wan_i2v.py", line 298, in encode_prompt
-    prompt_embeds = self._get_t5_prompt_embeds(
-        prompt=prompt,
-    ...<3 lines>...
-        dtype=dtype,
+  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/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/cc8e494e4eee1f68/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/cc8e494e4eee1f68/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/cc8e494e4eee1f68/lib/python3.13/site-packages/diffusers/pipelines/wan/pipeline_wan_i2v.py", line 211, in _get_t5_prompt_embeds
-    prompt = [prompt_clean(u) for u in prompt]
-              ~~~~~~~~~~~~^^^
-  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/lib/python3.13/site-packages/diffusers/pipelines/wan/pipeline_wan_i2v.py", line 109, in prompt_clean
-    text = whitespace_clean(basic_clean(text))
-                            ~~~~~~~~~~~^^^^^^
-  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/lib/python3.13/site-packages/diffusers/pipelines/wan/pipeline_wan_i2v.py", line 97, in basic_clean
-    text = ftfy.fix_text(text)
-           ^^^^
-NameError: name 'ftfy' is not defined
+    ^
+  File "/tmp/.cache/uv/environments-v2/cc8e494e4eee1f68/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/cc8e494e4eee1f68/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 30.54 GiB. GPU 0 has a total capacity of 22.03 GiB of which 19.01 GiB is free. Including non-PyTorch memory, this process has 3.02 GiB memory in use. Of the allocated memory 2.84 GiB is allocated by PyTorch, and 3.31 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)