use multiple community pipes in a list

[CrazyBoyM]

Is your feature request related to a problem? Please describe.

I find some very great community pipes, such as CLIP Guided Stable Diffusion and Long Prompt Weighting Stable Diffusion.
But I don't know how to use them both.

Describe the solution you'd like
some code likes:

pipe = DiffusionPipeline.from_pretrained(
    'hakurei/waifu-diffusion',
    custom_pipelines=["lpw_stable_diffusion", "clip_guided_stable_diffusion"],
    revision="fp16",
    torch_dtype=torch.float16
)
pipe=pipe.to("cuda")

simpely change the

custom_pipeline="lpw_stable_diffusion"

to

custom_pipelines=["lpw_stable_diffusion", "clip_guided_stable_diffusion"]

Describe alternatives you've considered
a list for custom pipelines

[patrickvonplaten]

Hey @CrazyBoyM,

Note that community pipelines are not always compatible with each other so I'm not sure it's possible to load them into one class. How did you image the design of a "multi-community-pipeline" to look like? :-)

[CrazyBoyM]

Hey @CrazyBoyM,

Note that community pipelines are not always compatible with each other so I'm not sure it's possible to load them into one class. How did you image the design of a "multi-community-pipeline" to look like? :-)

sorry for that i don't have a good idea for it's compatibility now

[adhikjoshi]

Hey @CrazyBoyM,

Note that community pipelines are not always compatible with each other so I'm not sure it's possible to load them into one class. How did you image the design of a "multi-community-pipeline" to look like? :-)

We can pass array of maybe downloaded models, which loads.

If i want to load 3 custom trained models, it's not possible, as far i know (tell me if i can)

If we can do it easily, it would be awesome.

[patrickvonplaten]

Also related: #1046

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