Merge branch 'main' into model-manager-ui-30

This commit is contained in:
blessedcoolant 2023-06-19 22:53:13 +12:00
commit d4931522d4
9 changed files with 37 additions and 7 deletions

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@ -67,7 +67,7 @@ title: Home
implementation of Stable Diffusion, the open source text-to-image and
image-to-image generator. It provides a streamlined process with various new
features and options to aid the image generation process. It runs on Windows,
Mac and Linux machines, and runs on GPU cards with as little as 4 GB or RAM.
Mac and Linux machines, and runs on GPU cards with as little as 4 GB of RAM.
**Quick links**: [<a href="https://discord.gg/ZmtBAhwWhy">Discord Server</a>]
[<a href="https://github.com/invoke-ai/InvokeAI/">Code and Downloads</a>] [<a

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@ -7,7 +7,7 @@ import einops
from pydantic import BaseModel, Field, validator
import torch
from diffusers import ControlNetModel
from diffusers import ControlNetModel, DPMSolverMultistepScheduler
from diffusers.image_processor import VaeImageProcessor
from diffusers.schedulers import SchedulerMixin as Scheduler
@ -233,7 +233,17 @@ class TextToLatentsInvocation(BaseInvocation):
h_symmetry_time_pct=None,#h_symmetry_time_pct,
v_symmetry_time_pct=None#v_symmetry_time_pct,
),
).add_scheduler_args_if_applicable(scheduler, eta=0.0)#ddim_eta)
)
conditioning_data = conditioning_data.add_scheduler_args_if_applicable(
scheduler,
# for ddim scheduler
eta=0.0, #ddim_eta
# for ancestral and sde schedulers
generator=torch.Generator(device=uc.device).manual_seed(0),
)
return conditioning_data
def create_pipeline(self, unet, scheduler) -> StableDiffusionGeneratorPipeline:

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@ -22,6 +22,10 @@ SAMPLER_CHOICES = [
"dpmpp_2s_k",
"dpmpp_2m",
"dpmpp_2m_k",
"dpmpp_2m_sde",
"dpmpp_2m_sde_k",
"dpmpp_sde",
"dpmpp_sde_k",
"unipc",
]

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@ -1,7 +1,7 @@
from diffusers import DDIMScheduler, DPMSolverMultistepScheduler, KDPM2DiscreteScheduler, \
KDPM2AncestralDiscreteScheduler, EulerDiscreteScheduler, EulerAncestralDiscreteScheduler, \
HeunDiscreteScheduler, LMSDiscreteScheduler, PNDMScheduler, UniPCMultistepScheduler, \
DPMSolverSinglestepScheduler, DEISMultistepScheduler, DDPMScheduler
DPMSolverSinglestepScheduler, DEISMultistepScheduler, DDPMScheduler, DPMSolverSDEScheduler
SCHEDULER_MAP = dict(
ddim=(DDIMScheduler, dict()),
@ -21,5 +21,9 @@ SCHEDULER_MAP = dict(
dpmpp_2s_k=(DPMSolverSinglestepScheduler, dict(use_karras_sigmas=True)),
dpmpp_2m=(DPMSolverMultistepScheduler, dict(use_karras_sigmas=False)),
dpmpp_2m_k=(DPMSolverMultistepScheduler, dict(use_karras_sigmas=True)),
dpmpp_2m_sde=(DPMSolverMultistepScheduler, dict(use_karras_sigmas=False, algorithm_type='sde-dpmsolver++')),
dpmpp_2m_sde_k=(DPMSolverMultistepScheduler, dict(use_karras_sigmas=True, algorithm_type='sde-dpmsolver++')),
dpmpp_sde=(DPMSolverSDEScheduler, dict(use_karras_sigmas=False, noise_sampler_seed=0)),
dpmpp_sde_k=(DPMSolverSDEScheduler, dict(use_karras_sigmas=True, noise_sampler_seed=0)),
unipc=(UniPCMultistepScheduler, dict(cpu_only=True))
)

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@ -20,6 +20,10 @@ SAMPLER_CHOICES = [
"dpmpp_2s_k",
"dpmpp_2m",
"dpmpp_2m_k",
"dpmpp_2m_sde",
"dpmpp_2m_sde_k",
"dpmpp_sde",
"dpmpp_sde_k",
"unipc",
]

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@ -9,6 +9,8 @@ export const SCHEDULER_NAMES_AS_CONST = [
'ddpm',
'dpmpp_2s',
'dpmpp_2m',
'dpmpp_2m_sde',
'dpmpp_sde',
'heun',
'kdpm_2',
'lms',
@ -17,6 +19,8 @@ export const SCHEDULER_NAMES_AS_CONST = [
'euler_k',
'dpmpp_2s_k',
'dpmpp_2m_k',
'dpmpp_2m_sde_k',
'dpmpp_sde_k',
'heun_k',
'lms_k',
'euler_a',
@ -32,16 +36,20 @@ export const SCHEDULER_LABEL_MAP: Record<SchedulerParam, string> = {
deis: 'DEIS',
ddim: 'DDIM',
ddpm: 'DDPM',
dpmpp_sde: 'DPM++ SDE',
dpmpp_2s: 'DPM++ 2S',
dpmpp_2m: 'DPM++ 2M',
dpmpp_2m_sde: 'DPM++ 2M SDE',
heun: 'Heun',
kdpm_2: 'KDPM 2',
lms: 'LMS',
pndm: 'PNDM',
unipc: 'UniPC',
euler_k: 'Euler Karras',
dpmpp_sde_k: 'DPM++ SDE Karras',
dpmpp_2s_k: 'DPM++ 2S Karras',
dpmpp_2m_k: 'DPM++ 2M Karras',
dpmpp_2m_sde_k: 'DPM++ 2M SDE Karras',
heun_k: 'Heun Karras',
lms_k: 'LMS Karras',
euler_a: 'Euler Ancestral',

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@ -45,7 +45,7 @@ export type InpaintInvocation = {
/**
* The scheduler to use
*/
scheduler?: 'ddim' | 'ddpm' | 'deis' | 'lms' | 'lms_k' | 'pndm' | 'heun' | 'heun_k' | 'euler' | 'euler_k' | 'euler_a' | 'kdpm_2' | 'kdpm_2_a' | 'dpmpp_2s' | 'dpmpp_2s_k' | 'dpmpp_2m' | 'dpmpp_2m_k' | 'unipc';
scheduler?: 'ddim' | 'ddpm' | 'deis' | 'lms' | 'lms_k' | 'pndm' | 'heun' | 'heun_k' | 'euler' | 'euler_k' | 'euler_a' | 'kdpm_2' | 'kdpm_2_a' | 'dpmpp_2s' | 'dpmpp_2s_k' | 'dpmpp_2m' | 'dpmpp_2m_k' | 'dpmpp_2m_sde' | 'dpmpp_2m_sde_k' | 'dpmpp_sde' | 'dpmpp_sde_k' | 'unipc';
/**
* The model to use (currently ignored)
*/

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@ -43,7 +43,7 @@ export type LatentsToLatentsInvocation = {
/**
* The scheduler to use
*/
scheduler?: 'ddim' | 'ddpm' | 'deis' | 'lms' | 'lms_k' | 'pndm' | 'heun' | 'heun_k' | 'euler' | 'euler_k' | 'euler_a' | 'kdpm_2' | 'kdpm_2_a' | 'dpmpp_2s' | 'dpmpp_2s_k' | 'dpmpp_2m' | 'dpmpp_2m_k' | 'unipc';
scheduler?: 'ddim' | 'ddpm' | 'deis' | 'lms' | 'lms_k' | 'pndm' | 'heun' | 'heun_k' | 'euler' | 'euler_k' | 'euler_a' | 'kdpm_2' | 'kdpm_2_a' | 'dpmpp_2s' | 'dpmpp_2s_k' | 'dpmpp_2m' | 'dpmpp_2m_k' | 'dpmpp_2m_sde' | 'dpmpp_2m_sde_k' | 'dpmpp_sde' | 'dpmpp_sde_k' | 'unipc';
/**
* UNet submodel
*/

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@ -43,7 +43,7 @@ export type TextToLatentsInvocation = {
/**
* The scheduler to use
*/
scheduler?: 'ddim' | 'ddpm' | 'deis' | 'lms' | 'lms_k' | 'pndm' | 'heun' | 'heun_k' | 'euler' | 'euler_k' | 'euler_a' | 'kdpm_2' | 'kdpm_2_a' | 'dpmpp_2s' | 'dpmpp_2s_k' | 'dpmpp_2m' | 'dpmpp_2m_k' | 'unipc';
scheduler?: 'ddim' | 'ddpm' | 'deis' | 'lms' | 'lms_k' | 'pndm' | 'heun' | 'heun_k' | 'euler' | 'euler_k' | 'euler_a' | 'kdpm_2' | 'kdpm_2_a' | 'dpmpp_2s' | 'dpmpp_2s_k' | 'dpmpp_2m' | 'dpmpp_2m_k' | 'dpmpp_2m_sde' | 'dpmpp_2m_sde_k' | 'dpmpp_sde' | 'dpmpp_sde_k' | 'unipc';
/**
* UNet submodel
*/