FruiT5-Pytorch / model_index.json
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{
"_class_name": "StableDiffusionPipeline",
"_diffusers_version": "0.16.1",
"feature_extractor": [
"transformers",
"CLIPFeatureExtractor"
],
"requires_safety_checker": true,
"safety_checker": [
null,
null
],
"scheduler": [
"diffusers",
"DDPMScheduler"
],
"text_encoder": [
"transformers",
"T5EncoderModel"
],
"tokenizer": [
"transformers",
"T5Tokenizer"
],
"unet": [
"diffusers",
"UNet2DConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKL"
]
}