KandinskyV22PriorPipeline  
Pipeline for generating image prior for Kandinsky  
This model inherits from [`DiffusionPipeline`]. Check the superclass documentation for the generic methods the
library implements for all the pipelines (such as downloading or saving, running on a particular device, etc.)  
Args:
prior ([`PriorTransformer`]):
The canonical unCLIP prior to approximate the image embedding from the text embedding.
image_encoder ([`CLIPVisionModelWithProjection`]):
Frozen image-encoder.
text_encoder ([`CLIPTextModelWithProjection`]):
Frozen text-encoder.
tokenizer (`CLIPTokenizer`):
Tokenizer of class
[CLIPTokenizer](https://huggingface.co/docs/transformers/v4.21.0/en/model_doc/clip#transformers.CLIPTokenizer).
scheduler ([`UnCLIPScheduler`]):
A scheduler to be used in combination with `prior` to generate image embedding.
image_processor ([`CLIPImageProcessor`]):
A image_processor to be used to preprocess image from clip.  
- all
- __call__
- interpolate
/Users/nielsrogge/Documents/python_projecten/diffusers/docs/source/en/api/pipelines/kandinsky_v22.md