v0.0.12: SDXL refiner, Sequence parallelism training

What's Changed

Stable Diffusion: SDXL Refiner, Stable Diffusion Img2Img, Inpaint support

• [Stable Diffusion] Image2image and inpaint pipeline support by @JingyaHuang in #161
• [SDXL] Add SDXL image to image support by @JingyaHuang in #239

Distributed Training:

• Sequence parallelism by @michaelbenayoun in #233
• Parallelism support for GPTNeoX by @michaelbenayoun in #244

Text generation updates

• Add text generation pipeline by @dacorvo in #258

Other changes

• TGI stability fixes by @dacorvo in #226
• Remove experimental compilation flag for text-generation models by @dacorvo in #228
• Patch for diffusers 0.21.0 release by @JingyaHuang in #229
• test_examples uses ExampleRunner by @michaelbenayoun in #227
• Using the real model name instead of hard code "model" by @davidshtian in #231
• Replace transformers list of logits warpers by a fused logic warper by @dacorvo in #234
• Use AWS Neuron SDK 2.14 by @dacorvo in #236
• Weight loading after lazy loading fix by @michaelbenayoun in #238
• Add debug attribute to NeuronPartialState by @michaelbenayoun in #240
• Update tests/test_examples.py for AWS team by @michaelbenayoun in #242
• Rework text-generation example by @dacorvo in #245
• Fix evaluation recompilation issue by @michaelbenayoun in #248
• test(generation): specify revision for hub test model by @dacorvo in #250
• Add sequence length for generative models and llama tests by @dacorvo in #251
• Fix noisy loss for T5 when doing TP by @michaelbenayoun in #257
• Fix bug with transformers 4.34 by @michaelbenayoun in #259

New Contributors

• @davidshtian made their first contribution in #231

Full Changelog: v0.0.11...v0.0.12