dgenerate.pipelinewrapper.CACHE_MEMORY_CONSTRAINTS = ['used_percent > 70']

Cache constraint expressions for when to clear all model caches (DiffusionPipeline, VAE, ControlNet, and Text Encoder), syntax provided via dgenerate.memory.memory_constraints()

If any of these constraints are met, a call to enforce_cache_constraints() will call clear_model_cache() and force a garbage collection.

dgenerate.pipelinewrapper.PIPELINE_CACHE_MEMORY_CONSTRAINTS = ['pipeline_size > (available * 0.75)']

Cache constraint expressions for when to clear the DiffusionPipeline cache, syntax provided via dgenerate.memory.memory_constraints()

If any of these constraints are met, a call to enforce_pipeline_cache_constraints() will call clear_pipeline_cache() and force a garbage collection.

Extra variables include: cache_size (the current estimated cache size in bytes), and pipeline_size (the estimated size of the new pipeline before it is brought into memory, in bytes)

dgenerate.pipelinewrapper.UNET_CACHE_MEMORY_CONSTRAINTS = ['unet_size > (available * 0.75)']

Cache constraint expressions for when to clear UNet cache, syntax provided via dgenerate.memory.memory_constraints()

If any of these constraints are met, a call to enforce_unet_cache_constraints() will call clear_unet_cache() and force a garbage collection.

Extra variables include: cache_size (the current estimated cache size in bytes), and unet_size (the estimated size of the new UNet before it is brought into memory, in bytes)

dgenerate.pipelinewrapper.VAE_CACHE_MEMORY_CONSTRAINTS = ['vae_size > (available * 0.75)']

Cache constraint expressions for when to clear VAE cache, syntax provided via dgenerate.memory.memory_constraints()

If any of these constraints are met, a call to enforce_vae_cache_constraints() will call clear_vae_cache() and force a garbage collection.

Extra variables include: cache_size (the current estimated cache size in bytes), and vae_size (the estimated size of the new VAE before it is brought into memory, in bytes)

dgenerate.pipelinewrapper.CONTROL_NET_CACHE_MEMORY_CONSTRAINTS = ['control_net_size > (available * 0.75)']

Cache constraint expressions for when to clear the ControlNet cache, syntax provided via dgenerate.memory.memory_constraints()

If any of these constraints are met, a call to enforce_control_net_cache_constraints() will call clear_control_net_cache() and force a garbage collection.

Extra variables include: cache_size (the current estimated cache size in bytes), and control_net_size (the estimated size of the new ControlNet before it is brought into memory, in bytes)

dgenerate.pipelinewrapper.TEXT_ENCODER_CACHE_MEMORY_CONSTRAINTS = ['text_encoder_size > (available * 0.75)']

Cache constraint expressions for when to clear the Text Encoder cache, syntax provided via dgenerate.memory.memory_constraints()

If any of these constraints are met, a call to enforce_text_encoder_cache_constraints() will call clear_text_encoder_cache() and force a garbage collection.

Extra variables include: cache_size (the current estimated cache size in bytes), and text_encoder_size (the estimated size of the new Text Encoder before it is brought into memory, in bytes)

dgenerate.pipelinewrapper.DEFAULT_INFERENCE_STEPS = 30

Default value for inference steps.

dgenerate.pipelinewrapper.DEFAULT_GUIDANCE_SCALE = 5

Default value for guidance scale.

dgenerate.pipelinewrapper.DEFAULT_IMAGE_SEED_STRENGTH = 0.8

Default image seed strength for img2img.

dgenerate.pipelinewrapper.DEFAULT_IMAGE_GUIDANCE_SCALE = 1.5

Default image guidance scale for pix2pix.

dgenerate.pipelinewrapper.DEFAULT_SDXL_HIGH_NOISE_FRACTION = 0.8

Default SDXL high noise fraction.

dgenerate.pipelinewrapper.DEFAULT_X4_UPSCALER_NOISE_LEVEL = 20

Default x4 upscaler noise level.

dgenerate.pipelinewrapper.DEFAULT_FLOYD_SUPERRESOLUTION_NOISE_LEVEL = 250

Default noise level for floyd super resolution upscalers.

dgenerate.pipelinewrapper.DEFAULT_FLOYD_SUPERRESOLUTION_IMG2IMG_NOISE_LEVEL = 250

Default noise level for floyd super resolution upscalers when preforming img2img.

dgenerate.pipelinewrapper.DEFAULT_FLOYD_SUPERRESOLUTION_INPAINT_NOISE_LEVEL = 0

Default noise level for floyd super resolution upscalers when inpainting.

dgenerate.pipelinewrapper.DEFAULT_OUTPUT_WIDTH = 512

Default output width for txt2img.

dgenerate.pipelinewrapper.DEFAULT_OUTPUT_HEIGHT = 512

Default output height for txt2img.

dgenerate.pipelinewrapper.DEFAULT_SDXL_OUTPUT_WIDTH = 1024

Default output width for SDXL txt2img.

dgenerate.pipelinewrapper.DEFAULT_SDXL_OUTPUT_HEIGHT = 1024

Default output height for SDXL txt2img.

dgenerate.pipelinewrapper.DEFAULT_FLOYD_IF_OUTPUT_WIDTH = 64

Default output width for Deep Floyd IF txt2img first stage.

dgenerate.pipelinewrapper.DEFAULT_FLOYD_IF_OUTPUT_HEIGHT = 64

Default output height for Deep Floyd IF txt2img first stage.

dgenerate.pipelinewrapper.DEFAULT_SEED = 0

Default RNG seed.

dgenerate.pipelinewrapper.DEFAULT_S_CASCADE_DECODER_GUIDANCE_SCALE = 0

Default guidance scale for the Stable Cascade decoder.

dgenerate.pipelinewrapper.DEFAULT_S_CASCADE_DECODER_INFERENCE_STEPS = 10

Default inference steps for the Stable Cascade decoder.

dgenerate.pipelinewrapper.DEFAULT_S_CASCADE_OUTPUT_HEIGHT = 1024

Default output height for Stable Cascade.

dgenerate.pipelinewrapper.DEFAULT_S_CASCADE_OUTPUT_WIDTH = 1024

Default output width for Stable Cascade.

dgenerate.pipelinewrapper.DEFAULT_SD3_OUTPUT_HEIGHT = 1024

Default output height for Stable Diffusion 3.

dgenerate.pipelinewrapper.DEFAULT_SD3_OUTPUT_WIDTH = 1024

Default output width for Stable Diffusion 3.