Upload nvidia_ChronoEdit-14B-Diffusers-Upscaler-Lora_0.txt with huggingface_hub

nvidia_ChronoEdit-14B-Diffusers-Upscaler-Lora_0.txt

@@ -4,7 +4,8 @@ from diffusers import DiffusionPipeline
 from diffusers.utils import load_image
 
 # switch to "mps" for apple devices
-pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora", dtype=torch.bfloat16, device_map="cuda")
+pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda")
+pipe.load_lora_weights("nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora")
 
 prompt = "Turn this cat into a dog"
 input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
@@ -14,75 +15,33 @@ image = pipe(image=input_image, prompt=prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 402, in hf_raise_for_status
-    response.raise_for_status()
-    ~~~~~~~~~~~~~~~~~~~~~~~~~^^
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/requests/models.py", line 1026, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora/resolve/main/model_index.json
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/tmp/nvidia_ChronoEdit-14B-Diffusers-Upscaler-Lora_0YHqQsW.py", line 28, in <module>
-    pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora", dtype=torch.bfloat16, device_map="cuda")
+  File "/tmp/nvidia_ChronoEdit-14B-Diffusers-Upscaler-Lora_0Mzpkav.py", line 28, in <module>
+    pipe = DiffusionPipeline.from_pretrained("nvidia/ChronoEdit-14B-Diffusers", dtype=torch.bfloat16, device_map="cuda")
   File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 833, in from_pretrained
-    cached_folder = cls.download(
-        pretrained_model_name_or_path,
-    ...<14 lines>...
-        **kwargs,
+  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/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-v2/46417a0e48757af0/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-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
     return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/diffusers/pipelines/pipeline_utils.py", line 1490, in download
-    config_file = hf_hub_download(
-        pretrained_model_name,
-    ...<5 lines>...
-        token=token,
-    )
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
-    return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1007, in hf_hub_download
-    return _hf_hub_download_to_cache_dir(
-        # Destination
-    ...<14 lines>...
-        force_download=force_download,
-    )
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1070, in _hf_hub_download_to_cache_dir
-    (url_to_download, etag, commit_hash, expected_size, xet_file_data, head_call_error) = _get_metadata_or_catch_error(
-                                                                                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
-        repo_id=repo_id,
-        ^^^^^^^^^^^^^^^^
-    ...<10 lines>...
-        relative_filename=relative_filename,
-        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/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-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1543, in _get_metadata_or_catch_error
-    metadata = get_hf_file_metadata(
-        url=url, proxies=proxies, timeout=etag_timeout, headers=headers, token=token, endpoint=endpoint
-    )
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
-    return fn(*args, **kwargs)
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 1460, in get_hf_file_metadata
-    r = _request_wrapper(
-        method="HEAD",
-    ...<5 lines>...
-        timeout=timeout,
-    )
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 283, in _request_wrapper
-    response = _request_wrapper(
-        method=method,
-    ...<2 lines>...
-        **params,
-    )
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/file_download.py", line 307, in _request_wrapper
-    hf_raise_for_status(response)
-    ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^
-  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 413, in hf_raise_for_status
-    raise _format(EntryNotFoundError, message, response) from e
-huggingface_hub.errors.EntryNotFoundError: 404 Client Error. (Request ID: Root=1-6914338f-799fcd1b7e9cd21d39fac62b;c8cff68a-f516-4527-b975-d33f49677a26)
-
-Entry Not Found for url: https://huggingface.co/nvidia/ChronoEdit-14B-Diffusers-Upscaler-Lora/resolve/main/model_index.json.
+  File "/tmp/.cache/uv/environments-v2/46417a0e48757af0/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-v2/46417a0e48757af0/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 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_CUDA_ALLOC_CONF=expandable_segments:True to avoid fragmentation.  See documentation for Memory Management  (https://pytorch.org/docs/stable/notes/cuda.html#environment-variables)