Tried to use SDXL-turbo

I made the changes to

_DEFAULT_MODEL = "stabilityai/sdxl-turbo"
_MODELS = {
    # See https://huggingface.co/stabilityai/sdxl-turbo for the model details and license
    "stabilityai/sdxl-turbo": {
        "unet_config": "unet/config.json",
        "unet": "unet/diffusion_pytorch_model.safetensors",
        "text_encoder_config": "text_encoder/config.json",
        "text_encoder": "text_encoder/model.safetensors",
        "vae_config": "vae/config.json",
        "vae": "vae/diffusion_pytorch_model.safetensors",
        "diffusion_config": "scheduler/scheduler_config.json",
        "tokenizer_vocab": "tokenizer/vocab.json",
        "tokenizer_merges": "tokenizer/merges.txt",
    }
}

but I get the error

% python txt2image.py "A photo of an astronaut riding a horse on Mars." --n_images 1
  0%|                                                                                                                                           | 0/50 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "txt2image.py", line 36, in <module>
    for x_t in tqdm(latents, total=args.steps):
  File "/Users/ageorgios/.pyenv/versions/3.8.18/lib/python3.8/site-packages/tqdm/std.py", line 1182, in __iter__
    for obj in iterable:
  File "/Users/ageorgios/Models/mlx-examples/stable_diffusion_turbo/stable_diffusion/__init__.py", line 84, in generate_latents
    eps_pred = self.unet(x_t_unet, t_unet, encoder_x=conditioning)
  File "/Users/ageorgios/Models/mlx-examples/stable_diffusion_turbo/stable_diffusion/unet.py", line 395, in __call__
    x, res = block(
  File "/Users/ageorgios/Models/mlx-examples/stable_diffusion_turbo/stable_diffusion/unet.py", line 252, in __call__
    x = self.attentions[i](x, encoder_x, attn_mask, encoder_attn_mask)
  File "/Users/ageorgios/Models/mlx-examples/stable_diffusion_turbo/stable_diffusion/unet.py", line 117, in __call__
    x = block(x, encoder_x, attn_mask, encoder_attn_mask)
  File "/Users/ageorgios/Models/mlx-examples/stable_diffusion_turbo/stable_diffusion/unet.py", line 70, in __call__
    y = self.attn2(y, memory, memory, memory_mask)
  File "/Users/ageorgios/.pyenv/versions/3.8.18/lib/python3.8/site-packages/mlx/nn/layers/transformer.py", line 68, in __call__
    keys = self.key_proj(keys)
  File "/Users/ageorgios/.pyenv/versions/3.8.18/lib/python3.8/site-packages/mlx/nn/layers/linear.py", line 33, in __call__
    x = x @ self.weight.T
ValueError: [matmul] Last dimension of first input with shape (2,13,768) must match second to last dimension of second input with shape (2048,320).

Reproduce the failure with the txt2image.py command and the SDXL-turbo model entry shown in the issue. Start by tracing the conditioning dimensions through stable_diffusion/__init__.py and stable_diffusion/unet.py; done means the command completes without the reported matrix-dimension error.