Post
2015
Custom pipelines and components in Diffusers 🎸
Wanted to use customized pipelines and other components (schedulers, unets, text encoders, etc.) in Diffusers?
Found it inflexible?
Since the first dawn on earth, we have supported loading custom pipelines via a
These pipelines are inference-only, i.e., the assumption is that we're leveraging an existing checkpoint (e.g., runwayml/stable-diffusion-v1-5) and ONLY modifying the pipeline implementation.
We have many cool pipelines, implemented that way. They all share the same benefits available to a
Check them here:
https://github.com/huggingface/diffusers/tree/main/examples/community
Then we might have a requirement of everything customized i.e., custom components along with a custom pipeline. Sure, that's all possible.
All you have to do is keep the implementations of those custom components on the Hub repository you're loading your pipeline checkpoint from.
SDXL Japanese was implemented like this 🔥
stabilityai/japanese-stable-diffusion-xl
Full guide is available here ⬇️
https://huggingface.co/docs/diffusers/main/en/using-diffusers/custom_pipeline_overview
And, of course, these share all the benefits that come with
Wanted to use customized pipelines and other components (schedulers, unets, text encoders, etc.) in Diffusers?
Found it inflexible?
Since the first dawn on earth, we have supported loading custom pipelines via a
custom_pipeline argument 🌄These pipelines are inference-only, i.e., the assumption is that we're leveraging an existing checkpoint (e.g., runwayml/stable-diffusion-v1-5) and ONLY modifying the pipeline implementation.
We have many cool pipelines, implemented that way. They all share the same benefits available to a
DiffusionPipeline, no compromise there 🤗Check them here:
https://github.com/huggingface/diffusers/tree/main/examples/community
Then we might have a requirement of everything customized i.e., custom components along with a custom pipeline. Sure, that's all possible.
All you have to do is keep the implementations of those custom components on the Hub repository you're loading your pipeline checkpoint from.
SDXL Japanese was implemented like this 🔥
stabilityai/japanese-stable-diffusion-xl
Full guide is available here ⬇️
https://huggingface.co/docs/diffusers/main/en/using-diffusers/custom_pipeline_overview
And, of course, these share all the benefits that come with
DiffusionPipeline.