Example is broken!
Trying to run example "Quantizing the model with diffusers, Reduce your VRAM usage..." from description and got this error:
H:!AI\SD3.5L>sd
Loading pipeline components...: 33%|█████████████████▎ | 3/9 [00:46<02:07, 21.20s/it]You set add_prefix_space. The tokenizer needs to be converted from the slow tokenizers
Loading checkpoint shards: 100%|████████████████████████████████████████████████████████| 2/2 [04:36<00:00, 138.23s/it]
Loading pipeline components...: 100%|████████████████████████████████████████████████████| 9/9 [05:33<00:00, 37.00s/it]
Token indices sequence length is longer than the specified maximum sequence length for this model (200 > 77). Running this sequence through the model will result in indexing errors
The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['. the skin is textured with the familiar grid pattern of a waffle, each square filled with a glistening sheen of syrup. the environment combines the natural habitat of a hippo with elements of a breakfast table setting, a river of warm, melted butter, with oversized utensils or plates peeking out from the lush, pancake - like foliage in the background, a towering pepper mill standing in for a tree. as the sun rises in this fantastical world, it casts a warm, buttery glow over the scene. the creature, content in its butter river, lets out a yawn. nearby, a flock of birds take flight']
Traceback (most recent call last):
File "H:!AI\SD3.5L\task.py", line 30, in
image = pipeline(
^^^^^^^^^
File "C:\Users\Jumangee\AppData\Roaming\Python\Python312\site-packages\torch\utils_contextlib.py", line 116, in decorate_context
return func(*args, **kwargs)