lllyasviel/stable-diffusion-webui-forge
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lllyasviel
2024-01-25 20:22:04 -08:00
parent 01c422678c
commit ed495d7286
3 changed files with 32 additions and 7 deletions
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18
modules/sd_samplers_cfg_denoiser.py
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@@ -77,10 +77,13 @@ class CFGDenoiser(torch.nn.Module):
if "sampler_cfg_function" in model_options or "sampler_post_cfg_function" in model_options:
cond_scale = float(cond_scale)
model = self.inner_model.inner_model.forge_objects.unet
model = self.inner_model.inner_model.forge_objects.unet.model
x = x_in[-uncond.shape[0]:]
uncond_pred = denoised_uncond
cond_pred = ((denoised - uncond_pred) / cond_scale) + uncond_pred
timestep = timestep[-uncond.shape[0]:]
from modules_forge.forge_util import cond_from_a1111_to_patched_ldm
if "sampler_cfg_function" in model_options:
args = {"cond": x - cond_pred, "uncond": x - uncond_pred, "cond_scale": cond_scale,
@@ -93,10 +96,15 @@ class CFGDenoiser(torch.nn.Module):
# sanity_check = torch.allclose(cfg_result, denoised)
for fn in model_options.get("sampler_post_cfg_function", []):
args = {"denoised": cfg_result, "cond": cond,
"uncond": uncond, "model": model,
"uncond_denoised": uncond_pred, "cond_denoised": cond_pred,
"sigma": timestep, "model_options": model_options, "input": x}
args = {"denoised": cfg_result,
"cond": cond_from_a1111_to_patched_ldm(cond),
"uncond": cond_from_a1111_to_patched_ldm(uncond),
"model": model,
"uncond_denoised": uncond_pred,
"cond_denoised": cond_pred,
"sigma": timestep,
"model_options": model_options,
"input": x}
cfg_result = fn(args)
else:
cfg_result = denoised