mirror of
https://github.com/lllyasviel/Fooocus.git
synced 2026-08-16 13:13:16 +02:00
using global sigmas for better results
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+10
-6
@@ -274,12 +274,15 @@ def encode_token_weights_patched_with_a1111_method(self, token_weight_pairs):
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return torch.cat(output, dim=-2).cpu(), first_pooled.cpu()
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sigma_min = 0.029167539
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sigma_max = 14.614643
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@torch.no_grad()
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def sample_dpmpp_fooocus_2m_sde_inpaint_seamless(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, **kwargs):
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print('[Sampler] Inpaint sampler is activated.')
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global sigma_min, sigma_max
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sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
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noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None), cpu=False) if noise_sampler is None else noise_sampler
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print('[Sampler] Fooocus sampler is activated.')
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seed = extra_args.get("seed", None)
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assert isinstance(seed, int)
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@@ -290,8 +293,9 @@ def sample_dpmpp_fooocus_2m_sde_inpaint_seamless(model, x, sigmas, extra_args=No
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def get_energy():
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return torch.randn(x.size(), dtype=x.dtype, generator=energy_generator, device="cpu").to(x)
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sigma_min, sigma_max = sigmas[sigmas > 0].min(), sigmas.max()
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noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=seed, cpu=True) if noise_sampler is None else noise_sampler
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noise_sampler = BrownianTreeNoiseSampler(x, sigma_min, sigma_max, seed=extra_args.get("seed", None),
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cpu=False) if noise_sampler is None else noise_sampler
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extra_args = {} if extra_args is None else extra_args
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s_in = x.new_ones([x.shape[0]])
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@@ -502,7 +506,7 @@ def patch_all():
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fcbh.model_patcher.ModelPatcher.calculate_weight = calculate_weight_patched
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fcbh.cldm.cldm.ControlNet.forward = patched_cldm_forward
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fcbh.ldm.modules.diffusionmodules.openaimodel.UNetModel.forward = patched_unet_forward
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fcbh.k_diffusion.sampling.sample_dpmpp_fooocus_2m_sde_inpaint_seamless = sample_dpmpp_fooocus_2m_sde_inpaint_seamless
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fcbh.k_diffusion.sampling.sample_dpmpp_2m_sde_gpu = sample_dpmpp_fooocus_2m_sde_inpaint_seamless
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fcbh.k_diffusion.external.DiscreteEpsDDPMDenoiser.forward = patched_discrete_eps_ddpm_denoiser_forward
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fcbh.model_base.SDXL.encode_adm = sdxl_encode_adm_patched
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fcbh.sd1_clip.ClipTokenWeightEncoder.encode_token_weights = encode_token_weights_patched_with_a1111_method
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