cxllm-vendors/stable-diffusion-webui-forge
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rework sigma device mapping

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lllyasviel
2024-02-07 00:44:12 -08:00
parent d11c9d7506
commit 257ac2653a
3 changed files with 11 additions and 11 deletions
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modules/sd_samplers_kdiffusion.py
+6 -6
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@@ -144,12 +144,12 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
unet_patcher = self.model_wrap.inner_model.forge_objects.unet
sampling_prepare(self.model_wrap.inner_model.forge_objects.unet, x=x)
self.model_wrap.log_sigmas = self.model_wrap.log_sigmas.to(unet_patcher.load_device)
self.model_wrap.sigmas = self.model_wrap.sigmas.to(unet_patcher.load_device)
self.model_wrap.log_sigmas = self.model_wrap.log_sigmas.to(x.device)
self.model_wrap.sigmas = self.model_wrap.sigmas.to(x.device)
steps, t_enc = sd_samplers_common.setup_img2img_steps(p, steps)
sigmas = self.get_sigmas(p, steps).to(shared.device)
sigmas = self.get_sigmas(p, steps).to(x.device)
sigma_sched = sigmas[steps - t_enc - 1:]
x = x.to(noise)
@@ -206,12 +206,12 @@ class KDiffusionSampler(sd_samplers_common.Sampler):
unet_patcher = self.model_wrap.inner_model.forge_objects.unet
sampling_prepare(self.model_wrap.inner_model.forge_objects.unet, x=x)
self.model_wrap.log_sigmas = self.model_wrap.log_sigmas.to(unet_patcher.load_device)
self.model_wrap.sigmas = self.model_wrap.sigmas.to(unet_patcher.load_device)
self.model_wrap.log_sigmas = self.model_wrap.log_sigmas.to(x.device)
self.model_wrap.sigmas = self.model_wrap.sigmas.to(x.device)
steps = steps or p.steps
sigmas = self.get_sigmas(p, steps).to(shared.device)
sigmas = self.get_sigmas(p, steps).to(x.device)
if opts.sgm_noise_multiplier:
p.extra_generation_params["SGM noise multiplier"] = True