Open yiyixuxu opened 4 months ago
Hi @yiyixuxu, I am interested in resolving this issue. Please let me know if I can take this up.
Thank you for this opportunity! I would like to take StableDiffusionReferencePipeline
.
hi @pranjalks sure! Just leave a message here about which ones you would like to work on:)
@standardAI thanks!
hi @pranjalks sure! Just leave a message here about which ones you would like to work on:)
Hey, I have started working on RegionalPromptingStableDiffusionPipeline
. Thank you!
@yiyixuxu I'll work on Prompt2Prompt pipeline. Thank you!
Hi @yiyixuxu, I would be happy to work TensorRTStableDiffusionPipeline. Can you please assign it to me? Thanks
@Bhavay-2001 sure!
hi @pranjalks sure! Just leave a message here about which ones you would like to work on:)
Hey, I have started working on
RegionalPromptingStableDiffusionPipeline
. Thank you!
Hi @pranjalks is there any news on it? I have already used it and not working, wondering if it is finished, or should I also take a look and try to refactor it:)
@katarzynasornat feel free to open a PR:)
@yiyixuxu @katarzynasornat
I took a crack at upgrading the Regional Prompter but even with using the mix-ins I'm still getting this error:
ValueError: Pipeline <class 'regional_prompting_stable_diffusion.RegionalPromptingStableDiffusionPipeline'> expected {'safety_checker', 'vae', 'unet', 'scheduler', 'feature_extractor', 'tokenizer', 'text_encoder'}, but only {'vae', 'unet', 'scheduler', 'tokenizer', 'text_encoder'} were passed.
Revised instantiation cribbed from #7071; I'm likely importing too much but nothing less worked either.
class RegionalPromptingStableDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, LoraLoaderMixin, IPAdapterMixin, FromSingleFileMixin):
Python isn't my main language though so perhaps I'm doing something dumb or underestimating the amount of refactoring needed.
@yiyixuxu @katarzynasornat
I took a crack at upgrading the Regional Prompter but even with using the mix-ins I'm still getting this error:
ValueError: Pipeline <class 'regional_prompting_stable_diffusion.RegionalPromptingStableDiffusionPipeline'> expected {'safety_checker', 'vae', 'unet', 'scheduler', 'feature_extractor', 'tokenizer', 'text_encoder'}, but only {'vae', 'unet', 'scheduler', 'tokenizer', 'text_encoder'} were passed.
Revised instantiation cribbed from #7071; I'm likely importing too much but nothing less worked either.
class RegionalPromptingStableDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, LoraLoaderMixin, IPAdapterMixin, FromSingleFileMixin):
Python isn't my main language though so perhaps I'm doing something dumb or underestimating the amount of refactoring needed.
@jelling @yiyixuxu I will try to help to refactor it but before doing that (as I am quite new to diffusers and not a pro in Deep Learning but I am very fast student:)) I wanted to downgrade to a lower version of diffusers - before the change happened. Unfortunately I had another error which made me impossible to run and see if/how the pipeline works.
Below I enclosed my gist. Would you be kind to take a look what could go wrong? Otherwise hard to improve the pipeline which may not working anyway.
@jelling Tip: 2 parameters were expected additionally, right? You can see something about these 2 parameters in my PR.
@jelling Tip: 2 parameters were expected additionally, right? You can see something about these 2 parameters in my PR.
@standardAI Are you able to look at my gist after downgrading diffusers? Because after refactoring I am getting the same error and I am not sure if refactoring went wrong or the pipeline is somehow not working itself.
Thank you!
EDIT: error looks somehow like this
RuntimeError Traceback (most recent call last)
18 frames
RuntimeError: shape '[5, -1, 8, 40]' is invalid for input of size 5242880
Debugging for a previous version of diffusers
might be unproductive, IMHO. If you open a refactoring PR I can guide you. You can take a look at the previously merged refactorings within this issue.
Debugging for a previous version of
diffusers
might be unproductive, IMHO. If you open a refactoring PR I can guide you. You can take a look at the previously merged refactorings within this issue.
@tolgacangoz so cool! Will open a PR today. Assume I should work on currentdiffusers
version 0.28.0.dev0? I took a look at the previous examples, what I found is that all of them (I think) where using StableDiffusionPipelineOutput
, but regional prompt is invoking StableDiffusionPipeline
inside. Happy to work and finish it properly with your guidance!
We have a couple of community pipelines that used
StableDiffusionPipeline
as the base class instead ofDiffusionPipeline
. Most of them are broken after we changed the signature ofStableDiffusionPipeline
. see more details on the issue here https://github.com/huggingface/diffusers/issues/6969#issuecomment-1944162819pipelines should not use
StableDiffusionPipeline
as a base class. Is anyone interested in refactoring some of these community pipelines to inherit fromDiffusionPipeline
instead? You will need to:DiffusionPipeline
and any of the mixins needed e.g.StableDiffusionPipeline
- you need use#Copied from
statement to copy over methods to your community pipeline. Learn more about theCopied from
mechanism here https://huggingface.co/docs/diffusers/conceptual/contribution#copied-from-mechanismHere is the list of pipelines that need to be refactored!