onPipeline.from_pretrained(repo_id)
print(ldm)
Output:


	Copied
LDMTextToImagePipeline {
  "bert": [
    "latent_diffusion",
    "LDMBertModel"
  ],
  "scheduler": [
    "diffusers",
    "DDIMScheduler"
  ],
  "tokenizer": [
    "transformers",
    "BertTokenizer"
  ],
  "unet": [
    "diffusers",
    "UNet2DConditionModel"
  ],
  "vqvae": [
    "diffusers",
    "AutoencoderKL"
  ]
}
First, we see that the official pipeline is the LDMTextToIma