From da72becb13e4b750fbcb3d158c3f843311ef9938 Mon Sep 17 00:00:00 2001
From: Silent <16026653+s-ilent@users.noreply.github.com>
Date: Wed, 19 Oct 2022 16:14:33 +1030
Subject: [PATCH] Use training width/height when training hypernetworks.

---
 modules/hypernetworks/hypernetwork.py | 4 ++--
 modules/ui.py                         | 2 ++
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py
index 4905710e5..b8695fc15 100644
--- a/modules/hypernetworks/hypernetwork.py
+++ b/modules/hypernetworks/hypernetwork.py
@@ -196,7 +196,7 @@ def stack_conds(conds):
 
     return torch.stack(conds)
 
-def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, steps, create_image_every, save_hypernetwork_every, template_file, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
+def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log_directory, training_width, training_height, steps, create_image_every, save_hypernetwork_every, template_file, preview_from_txt2img, preview_prompt, preview_negative_prompt, preview_steps, preview_sampler_index, preview_cfg_scale, preview_seed, preview_width, preview_height):
     assert hypernetwork_name, 'hypernetwork not selected'
 
     path = shared.hypernetworks.get(hypernetwork_name, None)
@@ -225,7 +225,7 @@ def train_hypernetwork(hypernetwork_name, learn_rate, batch_size, data_root, log
 
     shared.state.textinfo = f"Preparing dataset from {html.escape(data_root)}..."
     with torch.autocast("cuda"):
-        ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=512, height=512, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, device=devices.device, template_file=template_file, include_cond=True, batch_size=batch_size)
+        ds = modules.textual_inversion.dataset.PersonalizedBase(data_root=data_root, width=training_width, height=training_height, repeats=shared.opts.training_image_repeats_per_epoch, placeholder_token=hypernetwork_name, model=shared.sd_model, device=devices.device, template_file=template_file, include_cond=True, batch_size=batch_size)
 
     if unload:
         shared.sd_model.cond_stage_model.to(devices.cpu)
diff --git a/modules/ui.py b/modules/ui.py
index fb6eb5a09..ca46343fd 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -1341,6 +1341,8 @@ def create_ui(wrap_gradio_gpu_call):
                 batch_size,
                 dataset_directory,
                 log_directory,
+                training_width,
+                training_height,
                 steps,
                 create_image_every,
                 save_embedding_every,