Upload stabilityai_stable-diffusion-xl-base-1.0_0.txt with huggingface_hub

stabilityai_stable-diffusion-xl-base-1.0_0.txt

@@ -1 +1,51 @@
-Everything was good in stabilityai_stable-diffusion-xl-base-1.0_0.txt
+```CODE: 
+import torch
+from diffusers import DiffusionPipeline
+
+# switch to "mps" for apple devices
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", 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/stabilityai_stable-diffusion-xl-base-1.0_0UdjCfS.py", line 30, in <module>
+    image = pipe(prompt).images[0]
+            ~~~~^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/utils/_contextlib.py", line 124, in decorate_context
+    return func(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py", line 1202, in __call__
+    noise_pred = self.unet(
+                 ~~~~~~~~~^
+        latent_model_input,
+        ^^^^^^^^^^^^^^^^^^^
+    ...<5 lines>...
+        return_dict=False,
+        ^^^^^^^^^^^^^^^^^^
+    )[0]
+    ^
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/diffusers/models/unets/unet_2d_condition.py", line 1080, in forward
+    emb = self.time_embedding(t_emb, timestep_cond)
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/diffusers/models/embeddings.py", line 1298, in forward
+    sample = self.linear_1(sample)
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1776, in _wrapped_call_impl
+    return self._call_impl(*args, **kwargs)
+           ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/module.py", line 1787, in _call_impl
+    return forward_call(*args, **kwargs)
+  File "/tmp/.cache/uv/environments-v2/d1c64095796a450d/lib/python3.13/site-packages/torch/nn/modules/linear.py", line 134, in forward
+    return F.linear(input, self.weight, self.bias)
+           ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+RuntimeError: mat1 and mat2 must have the same dtype, but got Half and Float