[Better scheduler docs] Improve usage examples of schedulers #890
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patrickvonplaten
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pcuenca,
anton-l and
patil-suraj
and removed request for
pcuenca and
anton-l
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The documentation is not available anymore as the PR was closed or merged. |
| @@ -72,7 +72,7 @@ image.save("astronaut_rides_horse.png") | |||
| # make sure you're logged in with `huggingface-cli login` | |||
| from diffusers import StableDiffusionPipeline, DDIMScheduler | |||
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| scheduler = DDIMScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", clip_sample=False, set_alpha_to_one=False) | |||
| scheduler = DDIMScheduler.from_config("CompVis/stable-diffusion-v1-4", subfolder="scheduler") | |||
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scheduler_config does not specify values for clip_sample or set_alpha_to_one
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Good point! Wonder if we could somehow do this automatically - maybe just add those values there?
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Actually opening a bigger issue for this
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Great catch! Yeah I noticed it's acutally not that easy - we'll need some more code changes here
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This can be correct now by simply setting clip_sample in the original configuration file - even if it's not expected by the scheduler => the original PNDMScheduler config should therefore just have clip_sample set to False for DDIM. This logic is now implemented via the class attribute _compatible_classes.
| @@ -72,6 +72,19 @@ def __init__( | |||
| new_config["steps_offset"] = 1 | |||
| scheduler._internal_dict = FrozenDict(new_config) | |||
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| if hasattr(scheduler.config, "clip_sample") and scheduler.config.clip_sample is True: | |||
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As soon as the 0.7.0 is out, we will add clip_sample to https://huggingface.co/runwayml/stable-diffusion-v1-5 so that the default scheduler config is 1-to-1 compatible with all other schedulers
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src/diffusers/pipelines/stable_diffusion/pipeline_onnx_stable_diffusion.py
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src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py
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Co-authored-by: Pedro Cuenca <[email protected]>
…better_docs_schedulers
| noise_scheduler = DDPMScheduler( | ||
| beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear", num_train_timesteps=1000 | ||
| ) | ||
| noise_scheduler = DDPMScheduler.from_config("CompVis/stable-diffusion-v1-4", subfolder="scheduler") |
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This is both a config value and conflicts with --pretrained_model_name_or_path, this was previously compatible with local and remote sd1.4 and sd1.5 in dreambooth, text_to_image, and textual inversion.
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Good catch @kjerk , would you like to open a PR to fix this ?
…face#890) * [Better scheduler docs] Improve usage examples of schedulers * finish * fix warnings and add test * finish * more replacements * adapt fast tests hf token * correct more * Apply suggestions from code review Co-authored-by: Pedro Cuenca <[email protected]> * Integrate compatibility with euler Co-authored-by: Pedro Cuenca <[email protected]>
Let's try to advocate as much as possible to load schedulers directly from the saved configs instead of having to define the parameters manually.
I.e. we don't want to see any:
but instead:
This PR enables this functionality across "compatible" schedulers by essentially doing the following:
By "allows" it's meant that no warning is thrown.
The necessary logic for this is implemented in
configuration_utils.py. Please have a look into thetests/test_config.pyfile to understand what the new logic can do.