From f64af77adcd20fabe00e1e642512db9c6742ed23 Mon Sep 17 00:00:00 2001 From: brkirch Date: Mon, 23 Jan 2023 22:49:20 -0500 Subject: [PATCH] Fix different first gen with Approx NN previews The loading of the model for approx nn live previews can change the internal state of PyTorch, resulting in a different image. This can be avoided by preloading the approx nn model in advance. --- modules/processing.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/modules/processing.py b/modules/processing.py index bc541e2f..3bd590ba 100644 --- a/modules/processing.py +++ b/modules/processing.py @@ -13,7 +13,7 @@ from skimage import exposure from typing import Any, Dict, List, Optional import modules.sd_hijack -from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks, extra_networks +from modules import devices, prompt_parser, masking, sd_samplers, lowvram, generation_parameters_copypaste, script_callbacks, extra_networks, sd_vae_approx from modules.sd_hijack import model_hijack from modules.shared import opts, cmd_opts, state import modules.shared as shared @@ -568,6 +568,10 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed: with devices.autocast(): p.init(p.all_prompts, p.all_seeds, p.all_subseeds) + if shared.opts.live_previews_enable and sd_samplers.approximation_indexes.get(shared.opts.show_progress_type, 0) == 1: + # preload approx nn model before sampling for a more deterministic result + sd_vae_approx.model() + if not p.disable_extra_networks: extra_networks.activate(p, extra_network_data)