𧨠Diffusers welcomes Stable Diffusion 3.5 Large
β’
43
diffusers
π§¨bistandbytes
as the official backend but using others like torchao
is already very simple. enable_model_cpu_offload()
torch.compile()
them. from_single_file
loading and affected by the Runway SD 1.5 issue.runwayml/stable-diffusion-v1-5
saved locally in your HF cache then loading single file checkpoints in the following way should still work. from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_single_file("<url or path to single file checkpoint>")
runwayml/stable-diffusion-v1-5
doesn't exist anymore. from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_single_file("<url or path to single file checkpoint>", config="Lykon/DreamShaper")
I think you definitely missed out on another big release:
https://huggingface.co/posts/sayakpaul/557387472547604
from_single_file()
method, highlighting our efforts for making our library more amenable to community features π€custom_pipeline
argument πDiffusionPipeline
, no compromise there π€DiffusionPipeline
.
device_map
in Diffusers π€diffusers
library. The post delves deeper into the workflows responsible for: