Upload black-forest-labs_FLUX.1-Kontext-dev_1.txt with huggingface_hub

black-forest-labs_FLUX.1-Kontext-dev_1.txt

@@ -1,8 +1,10 @@
 ```CODE: 
+import torch
 from diffusers import DiffusionPipeline
 from diffusers.utils import load_image
 
-pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev")
+# 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")
@@ -12,29 +14,8 @@ image = pipe(image=input_image, prompt=prompt).images[0]
 
 ERROR: 
 Traceback (most recent call last):
-  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2343, in _from_pretrained
-    tokenizer = cls(*init_inputs, **init_kwargs)
-  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 119, in __init__
-    super().__init__(
-    ~~~~~~~~~~~~~~~~^
-        vocab_file=vocab_file,
-        ^^^^^^^^^^^^^^^^^^^^^^
-    ...<7 lines>...
-        **kwargs,
-        ^^^^^^^^^
-    )
-    ^
-  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/tokenization_utils_fast.py", line 108, in __init__
-    raise ValueError(
-    ...<2 lines>...
-    )
-ValueError: Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you have sentencepiece installed.
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/tmp/black-forest-labs_FLUX.1-Kontext-dev_1JO1im2.py", line 19, in <module>
-    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev")
+  File "/tmp/black-forest-labs_FLUX.1-Kontext-dev_1rIMizY.py", line 26, 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
@@ -55,13 +36,20 @@ Traceback (most recent call last):
         ^^^^^^^^^
     )
     ^
-  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2344, in _from_pretrained
-    except import_protobuf_decode_error():
-           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
-  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 87, in import_protobuf_decode_error
-    raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
-ImportError: 
- requires the protobuf library but it was not found in your environment. Check out the instructions on the
-installation page of its repo: https://github.com/protocolbuffers/protobuf/tree/master/python#installation and follow the ones
-that match your environment. Please note that you may need to restart your runtime after installation.
-
+  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/tokenization_utils_base.py", line 2343, in _from_pretrained
+    tokenizer = cls(*init_inputs, **init_kwargs)
+  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/models/t5/tokenization_t5_fast.py", line 119, in __init__
+    super().__init__(
+    ~~~~~~~~~~~~~~~~^
+        vocab_file=vocab_file,
+        ^^^^^^^^^^^^^^^^^^^^^^
+    ...<7 lines>...
+        **kwargs,
+        ^^^^^^^^^
+    )
+    ^
+  File "/tmp/.cache/uv/environments-v2/ca96a1cdc2ecd6c7/lib/python3.13/site-packages/transformers/tokenization_utils_fast.py", line 108, in __init__
+    raise ValueError(
+    ...<2 lines>...
+    )
+ValueError: Cannot instantiate this tokenizer from a slow version. If it's based on sentencepiece, make sure you have sentencepiece installed.