Diffusers documentation
Guiders
Guiders
Classifier-free guidance steers model generation that better match a prompt and is commonly used to improve generation quality, control, and adherence to prompts. There are different types of guidance methods, and in Diffusers, they are known as guiders. Like blocks, it is easy to switch and use different guiders for different use cases without rewriting the pipeline.
This guide will show you how to switch guiders, adjust guider parameters, and load and share them to the Hub.
Switching guiders
ClassifierFreeGuidance is the default guider and created when a pipeline is initialized with init_pipeline(). It is created by from_config
which means it doesn’t require loading specifications from a modular repository. A guider won’t be listed in modular_model_index.json
.
Use get_component_spec() to inspect a guider.
t2i_pipeline.get_component_spec("guider")
ComponentSpec(name='guider', type_hint=<class 'diffusers.guiders.classifier_free_guidance.ClassifierFreeGuidance'>, description=None, config=FrozenDict([('guidance_scale', 7.5), ('guidance_rescale', 0.0), ('use_original_formulation', False), ('start', 0.0), ('stop', 1.0), ('_use_default_values', ['start', 'guidance_rescale', 'stop', 'use_original_formulation'])]), repo=None, subfolder=None, variant=None, revision=None, default_creation_method='from_config')
Switch to a different guider by passing the new guider to update_components().
Changing guiders will return text letting you know you’re changing the guider type.
ModularPipeline.update_components: adding guider with new type: PerturbedAttentionGuidance, previous type: ClassifierFreeGuidance
from diffusers import LayerSkipConfig, PerturbedAttentionGuidance
config = LayerSkipConfig(indices=[2, 9], fqn="mid_block.attentions.0.transformer_blocks", skip_attention=False, skip_attention_scores=True, skip_ff=False)
guider = PerturbedAttentionGuidance(
guidance_scale=5.0, perturbed_guidance_scale=2.5, perturbed_guidance_config=config
)
t2i_pipeline.update_components(guider=guider)
Use get_component_spec() again to verify the guider type is different.
t2i_pipeline.get_component_spec("guider")
ComponentSpec(name='guider', type_hint=<class 'diffusers.guiders.perturbed_attention_guidance.PerturbedAttentionGuidance'>, description=None, config=FrozenDict([('guidance_scale', 5.0), ('perturbed_guidance_scale', 2.5), ('perturbed_guidance_start', 0.01), ('perturbed_guidance_stop', 0.2), ('perturbed_guidance_layers', None), ('perturbed_guidance_config', LayerSkipConfig(indices=[2, 9], fqn='mid_block.attentions.0.transformer_blocks', skip_attention=False, skip_attention_scores=True, skip_ff=False, dropout=1.0)), ('guidance_rescale', 0.0), ('use_original_formulation', False), ('start', 0.0), ('stop', 1.0), ('_use_default_values', ['perturbed_guidance_start', 'use_original_formulation', 'perturbed_guidance_layers', 'stop', 'start', 'guidance_rescale', 'perturbed_guidance_stop']), ('_class_name', 'PerturbedAttentionGuidance'), ('_diffusers_version', '0.35.0.dev0')]), repo=None, subfolder=None, variant=None, revision=None, default_creation_method='from_config')
Loading custom guiders
Guiders that are already saved on the Hub with a modular_model_index.json
file are considered a from_pretrained
component now instead of a from_config
component.
{
"guider": [
null,
null,
{
"repo": "YiYiXu/modular-loader-t2i-guider",
"revision": null,
"subfolder": "pag_guider",
"type_hint": [
"diffusers",
"PerturbedAttentionGuidance"
],
"variant": null
}
]
}
The guider is only created after calling load_default_components() based on the loading specification in modular_model_index.json
.
t2i_pipeline = t2i_blocks.init_pipeline("YiYiXu/modular-doc-guider")
# not created during init
assert t2i_pipeline.guider is None
t2i_pipeline.load_default_components()
# loaded as PAG guider
t2i_pipeline.guider
Changing guider parameters
The guider parameters can be adjusted with either the create() method or with update_components(). The example below changes the guidance_scale
value.
guider_spec = t2i_pipeline.get_component_spec("guider")
guider = guider_spec.create(guidance_scale=10)
t2i_pipeline.update_components(guider=guider)
Uploading custom guiders
Call the push_to_hub() method on a custom guider to share it to the Hub.
guider.push_to_hub("YiYiXu/modular-loader-t2i-guider", subfolder="pag_guider")
To make this guider available to the pipeline, either modify the modular_model_index.json
file or use the update_components() method.
Edit the modular_model_index.json
file and add a loading specification for the guider by pointing to a folder containing the guider config.
{
"guider": [
"diffusers",
"PerturbedAttentionGuidance",
{
"repo": "YiYiXu/modular-loader-t2i-guider",
"revision": null,
"subfolder": "pag_guider",
"type_hint": [
"diffusers",
"PerturbedAttentionGuidance"
],
"variant": null
}
],