diff options
Diffstat (limited to 'modules/sd_hijack_inpainting.py')
| -rw-r--r-- | modules/sd_hijack_inpainting.py | 9 |
1 files changed, 4 insertions, 5 deletions
diff --git a/modules/sd_hijack_inpainting.py b/modules/sd_hijack_inpainting.py index 5dcbbed9..bb5499b3 100644 --- a/modules/sd_hijack_inpainting.py +++ b/modules/sd_hijack_inpainting.py @@ -210,7 +210,7 @@ def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=F else: x_in = torch.cat([x] * 2) t_in = torch.cat([t] * 2) - + if isinstance(c, dict): assert isinstance(unconditional_conditioning, dict) c_in = dict() @@ -279,7 +279,7 @@ def p_sample_plms(self, x, c, t, index, repeat_noise=False, use_original_steps=F x_prev, pred_x0 = get_x_prev_and_pred_x0(e_t_prime, index) return x_prev, pred_x0, e_t - + # ================================================================================================= # Monkey patch LatentInpaintDiffusion to load the checkpoint with a proper config. # Adapted from: @@ -327,12 +327,11 @@ def should_hijack_inpainting(checkpoint_info): def do_inpainting_hijack(): # most of this stuff seems to no longer be needed because it is already included into SD2.0 - # LatentInpaintDiffusion remains because SD2.0's LatentInpaintDiffusion can't be loaded without specifying a checkpoint # p_sample_plms is needed because PLMS can't work with dicts as conditionings - # this file should be cleaned up later if weverything tuens out to work fine + # this file should be cleaned up later if everything turns out to work fine # ldm.models.diffusion.ddpm.get_unconditional_conditioning = get_unconditional_conditioning - ldm.models.diffusion.ddpm.LatentInpaintDiffusion = LatentInpaintDiffusion + # ldm.models.diffusion.ddpm.LatentInpaintDiffusion = LatentInpaintDiffusion # ldm.models.diffusion.ddim.DDIMSampler.p_sample_ddim = p_sample_ddim # ldm.models.diffusion.ddim.DDIMSampler.sample = sample_ddim |