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lllyasviel
2024-01-27 05:12:34 -08:00
parent 0b00aaf897
commit 1cc40d24d7
44 changed files with 1885 additions and 167 deletions
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ldm_patched/modules/samplers.py
+3 -7
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@@ -1,13 +1,9 @@
from ldm_patched.k_diffusion import sampling as k_diffusion_sampling
from ldm_patched.unipc import uni_pc
import torch
import enum
import collections
from ldm_patched.modules import model_management
import math
from ldm_patched.modules import model_base
import ldm_patched.modules.utils
import ldm_patched.modules.conds
def get_area_and_mult(conds, x_in, timestep_in):
area = (x_in.shape[2], x_in.shape[3], 0, 0)
@@ -603,8 +599,8 @@ def sample(model, noise, positive, negative, cfg, device, sampler, sigmas, model
latent_image = model.process_latent_in(latent_image)
if hasattr(model, 'extra_conds'):
positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask)
negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask)
positive = encode_model_conds(model.extra_conds, positive, noise, device, "positive", latent_image=latent_image, denoise_mask=denoise_mask, seed=seed)
negative = encode_model_conds(model.extra_conds, negative, noise, device, "negative", latent_image=latent_image, denoise_mask=denoise_mask, seed=seed)
#make sure each cond area has an opposite one with the same area
for c in positive:
@@ -639,7 +635,7 @@ def calculate_sigmas_scheduler(model, scheduler_name, steps):
elif scheduler_name == "sgm_uniform":
sigmas = normal_scheduler(model, steps, sgm=True)
else:
print("error invalid scheduler", self.scheduler)
print("error invalid scheduler", scheduler_name)
return sigmas
def sampler_object(name):