↓ 5 callersFunctiononnx_export(
model,
model_args: tuple,
output_path: Path,
ordered_input_names,
output_names,
dyna
diffusers/scripts/convert_stable_diffusion_checkpoint_to_onnx.py:31
↓ 4 callersMethod_combiner""" Combines a latent iamge img_vae of shape (B, C, H, W) and a CLIP-embedded image img_clip of shape (B, 1, clip_img_dim) into a sin
diffusers/src/diffusers/pipelines/unidiffuser/pipeline_unidiffuser.py:748
↓ 4 callersMethodget_inputs(self, seed=0, get_fixed_latents=False, device="cpu", dtype=torch.float32, shape=(1, 3, 64, 64))
diffusers/tests/pipelines/consistency_models/test_consistency_models.py:172
↓ 4 callersMethodget_minmax_dims(self, batch_size, image_height, image_width, static_batch, static_shape)
diffusers/examples/community/stable_diffusion_tensorrt_inpaint.py:281
↓ 4 callersMethodget_minmax_dims(self, batch_size, image_height, image_width, static_batch, static_shape)
diffusers/examples/community/stable_diffusion_tensorrt_img2img.py:280