aihao2000 / stable-diffusion-reference-only Goto Github PK

ValueError Traceback (most recent call last)
in <cell line: 1>()
----> 1 automatic_coloring_pipeline = StableDiffusionReferenceOnlyPipeline.from_pretrained(
2 "AisingioroHao0/stable-diffusion-reference-only-automatic-coloring-0.1.2"
3 ).to(device)
4 automatic_coloring_pipeline.scheduler = UniPCMultistepScheduler.from_config(
5 automatic_coloring_pipeline.scheduler.config

1 frames
/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/pipeline_utils.py in download(cls, pretrained_model_name, **kwargs)
1683 custom_components[component] = module_candidate
1684 elif module_candidate not in LOADABLE_CLASSES and not hasattr(pipelines, module_candidate):
-> 1685 raise ValueError(
1686 f"{candidate_file} as defined in model_index.json does not exist in {pretrained_model_name} and is not a module in 'diffusers/pipelines'."
1687 )

ValueError: unet/stable_diffusion_reference_only.models.unet_2d_dobule_condition.py as defined in model_index.json does not exist in AisingioroHao0/stable-diffusion-reference-only-automatic-coloring-0.1.2 and is not a module in 'diffusers/pipelines'.

Thank you for your great work, but I have a few questions. 1. If I need to train on a new data set, how should I set the data set format? 2. Compared with the original controlnet, is it just a matter of replacing the original text encoder with image VAE input?

What model or models are you supposed to download and what folder does it get dropped into in the SD-WebUI location? There isn’t a guide on how to install this, sadly :/ A lot of people on the Stable Diffusion subreddit are wanting to know how to download and use this but no answers have been given. Here’s the link to the thread about this if you’d like to let others know how to use it:

https://www.reddit.com/r/StableDiffusion/s/EnjrGXQPFO

Did you train on lora or diffuser?

this extension is pretty cool but it is very annoying to use in a1111 because it automatically loads models into vram on startup and the only way to unload them is to completely disable the extension.