Chameleon image generation low quality.

### System Info transformers 4.43.0 dev ### Who can help? @zucchini-nlp ### Information - [X] The official example scripts - [ ] My own modified scripts ### Tasks - [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...) - [ ] My own task or dataset (give details below) ### Reproduction Using the model.generate function within the transformers framework to generate an image, in comparison to the inference pipeline from https://github.com/GAIR-NLP/anole, results in a relatively lower quality image. Besides I take a test on some image generation benchmark, and get consistent results. ### Expected behavior 1. Could you please provide a script to convert Hugging Face weights to PyTorch weights, so that we can use them with the Meta inference pipeline? 2. Could you kindly outline the best sampling parameters in the doc for generating high-quality images?