From 13ed73bedaa3df0f3edff41bd89bf0702f1c57b5 Mon Sep 17 00:00:00 2001
From: Greg Fuller <gfuller23@gmail.com>
Date: Tue, 18 Oct 2022 16:24:55 -0700
Subject: Update Learning Rate tooltip

---
 javascript/hints.js | 2 ++
 1 file changed, 2 insertions(+)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index b98012f5..a1fcc93b 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -91,6 +91,8 @@ titles = {
 
     "Weighted sum": "Result = A * (1 - M) + B * M",
     "Add difference": "Result = A + (B - C) * M",
+
+    "Learning rate": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
 }
 
 
-- 
cgit v1.2.3


From 700340448baa7412c7cc5ff3d1349ac79ee8ed0c Mon Sep 17 00:00:00 2001
From: papuSpartan <mcgpapu@gmail.com>
Date: Fri, 21 Oct 2022 17:24:04 -0500
Subject: forgot to clear neg prompt after moving to back. Add tooltip to hints

---
 javascript/hints.js |  1 +
 javascript/ui.js    |  4 ++--
 modules/ui.py       | 14 +++++++-------
 3 files changed, 10 insertions(+), 9 deletions(-)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index a1fcc93b..54c8c238 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -17,6 +17,7 @@ titles = {
     "\u2199\ufe0f": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
     "\u{1f4c2}": "Open images output directory",
     "\u{1f4be}": "Save style",
+    "\U0001F5D1": "Clear prompt"
     "\u{1f4cb}": "Apply selected styles to current prompt",
 
     "Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt",
diff --git a/javascript/ui.js b/javascript/ui.js
index 45d93a5c..6c99824b 100644
--- a/javascript/ui.js
+++ b/javascript/ui.js
@@ -162,7 +162,7 @@ function selected_tab_id() {
 
 }
 
-function clear_prompt(_, confirmed,_steps) {
+function clear_prompt(_, _prompt_neg, confirmed,_steps) {
 
 if(confirm("Delete prompt?")) {
     confirmed = true
@@ -176,7 +176,7 @@ return [_, confirmed]
         update_token_counter("txt2img_token_button")
     }
 
-    return [_, confirmed,_steps]
+    return [_, _prompt_neg, confirmed,_steps]
 }
 
 
diff --git a/modules/ui.py b/modules/ui.py
index b26cf10a..25aeba3b 100644
--- a/modules/ui.py
+++ b/modules/ui.py
@@ -429,19 +429,19 @@ def create_seed_inputs():
     return seed, reuse_seed, subseed, reuse_subseed, subseed_strength, seed_resize_from_h, seed_resize_from_w, seed_checkbox
 
 
-def clear_prompt(_prompt, confirmed, _token_counter):
+def clear_prompt(_prompt, _prompt_neg, confirmed, _token_counter):
     """Given confirmation from a user on the client-side, go ahead with clearing prompt"""
     if confirmed:
-        return ["", confirmed, update_token_counter("", 1)]
+        return ["", "", confirmed, update_token_counter("", 1)]
 
 
-def connect_clear_prompt(button, prompt, _dummy_confirmed, token_counter):
+def connect_clear_prompt(button, prompt, prompt_neg, _dummy_confirmed, token_counter):
     """Given clear button, prompt, and token_counter objects, setup clear prompt button click event"""
     button.click(
         _js="clear_prompt",
         fn=clear_prompt,
-        inputs=[prompt, _dummy_confirmed, token_counter],
-        outputs=[prompt, _dummy_confirmed, token_counter],
+        inputs=[prompt, prompt_neg, _dummy_confirmed, token_counter],
+        outputs=[prompt, prompt_neg, _dummy_confirmed, token_counter],
     )
 
 
@@ -723,7 +723,7 @@ def create_ui(wrap_gradio_gpu_call):
 
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
-            connect_clear_prompt(clear_prompt_button, txt2img_prompt, dummy_component, token_counter)
+            connect_clear_prompt(clear_prompt_button, txt2img_prompt, txt2img_negative_prompt, dummy_component, token_counter)
 
             txt2img_args = dict(
                 fn=wrap_gradio_gpu_call(modules.txt2img.txt2img),
@@ -961,7 +961,7 @@ def create_ui(wrap_gradio_gpu_call):
 
             connect_reuse_seed(seed, reuse_seed, generation_info, dummy_component, is_subseed=False)
             connect_reuse_seed(subseed, reuse_subseed, generation_info, dummy_component, is_subseed=True)
-            connect_clear_prompt(clear_prompt_button, img2img_prompt, dummy_component, token_counter)
+            connect_clear_prompt(clear_prompt_button, img2img_prompt, img2img_negative_prompt, dummy_component, token_counter)
 
             img2img_prompt_img.change(
                 fn=modules.images.image_data,
-- 
cgit v1.2.3


From df0a1f83815c771246a7b1bca85d63feaefad8d1 Mon Sep 17 00:00:00 2001
From: w-e-w <40751091+w-e-w@users.noreply.github.com>
Date: Mon, 24 Oct 2022 21:28:57 +0900
Subject: add hints, [datetime<Format><Time Zone>]

---
 javascript/hints.js | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index a1fcc93b..6ddd6aec 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -62,8 +62,8 @@ titles = {
 
     "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.",
 
-    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
-    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [job_timestamp]; leave empty for default.",
+    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
     "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",
 
     "Loopback": "Process an image, use it as an input, repeat.",
-- 
cgit v1.2.3


From b68c7c437eda2840a304539dd2acd0b0894e920c Mon Sep 17 00:00:00 2001
From: random_thoughtss <random_thoughtss@proton.me>
Date: Thu, 27 Oct 2022 11:45:35 -0700
Subject: Updated name and hover text.

---
 javascript/hints.js | 1 +
 modules/shared.py   | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index 6ddd6aec..623bc25c 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -75,6 +75,7 @@ titles = {
     "Create style": "Save current prompts as a style. If you add the token {prompt} to the text, the style use that as placeholder for your prompt when you use the style in the future.",
 
     "Checkpoint name": "Loads weights from checkpoint before making images. You can either use hash or a part of filename (as seen in settings) for checkpoint name. Recommended to use with Y axis for less switching.",
+    "Inpainting conditioning mask strength": "Only applies to inpainting models. Determines how strongly to mask off the original image for inpainting and img2img. 1.0 means fully masked, which is the default behaviour. 0.0 means a fully unmasked conditioning. Lower values will help preserve the overall composition of the image, but will struggle with large changes.",
 
     "vram": "Torch active: Peak amount of VRAM used by Torch during generation, excluding cached data.\nTorch reserved: Peak amount of VRAM allocated by Torch, including all active and cached data.\nSys VRAM: Peak amount of VRAM allocation across all applications / total GPU VRAM (peak utilization%).",
 
diff --git a/modules/shared.py b/modules/shared.py
index 9c2fa0d4..7c428d90 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -267,7 +267,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "sd_checkpoint_cache": OptionInfo(0, "Checkpoints to cache in RAM", gr.Slider, {"minimum": 0, "maximum": 10, "step": 1}),
     "sd_hypernetwork": OptionInfo("None", "Hypernetwork", gr.Dropdown, lambda: {"choices": ["None"] + [x for x in hypernetworks.keys()]}, refresh=reload_hypernetworks),
     "sd_hypernetwork_strength": OptionInfo(1.0, "Hypernetwork strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.001}),
-    "inpainting_mask_weight": OptionInfo(1.0, "Strength of img2img conditioning mask for inpainting models.", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
+    "inpainting_mask_weight": OptionInfo(1.0, "Inpainting conditioning mask strength", gr.Slider, {"minimum": 0.0, "maximum": 1.0, "step": 0.01}),
     "img2img_color_correction": OptionInfo(False, "Apply color correction to img2img results to match original colors."),
     "save_images_before_color_correction": OptionInfo(False, "Save a copy of image before applying color correction to img2img results"),
     "img2img_fix_steps": OptionInfo(False, "With img2img, do exactly the amount of steps the slider specifies (normally you'd do less with less denoising)."),
-- 
cgit v1.2.3


From 6001684be3e7b023346326b9dfc771219b8fe47e Mon Sep 17 00:00:00 2001
From: "Alex \"mcmonkey\" Goodwin" <git_commits@alexgoodwin.dev>
Date: Wed, 23 Nov 2022 06:35:44 -0800
Subject: add model_name pattern for saving

---
 javascript/hints.js | 4 ++--
 modules/images.py   | 1 +
 2 files changed, 3 insertions(+), 2 deletions(-)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index 623bc25c..ac417ff6 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -62,8 +62,8 @@ titles = {
 
     "Interrogate": "Reconstruct prompt from existing image and put it into the prompt field.",
 
-    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
-    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+    "Images filename pattern": "Use following tags to define how filenames for images are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
+    "Directory name pattern": "Use following tags to define how subdirectories for images and grids are chosen: [steps], [cfg], [prompt], [prompt_no_styles], [prompt_spaces], [width], [height], [styles], [sampler], [seed], [model_hash], [model_name], [prompt_words], [date], [datetime], [datetime<Format>], [datetime<Format><Time Zone>], [job_timestamp]; leave empty for default.",
     "Max prompt words": "Set the maximum number of words to be used in the [prompt_words] option; ATTENTION: If the words are too long, they may exceed the maximum length of the file path that the system can handle",
 
     "Loopback": "Process an image, use it as an input, repeat.",
diff --git a/modules/images.py b/modules/images.py
index 26d5b7a9..420828b0 100644
--- a/modules/images.py
+++ b/modules/images.py
@@ -305,6 +305,7 @@ class FilenameGenerator:
         'styles': lambda self: self.p and sanitize_filename_part(", ".join([style for style in self.p.styles if not style == "None"]) or "None", replace_spaces=False),
         'sampler': lambda self: self.p and sanitize_filename_part(self.p.sampler_name, replace_spaces=False),
         'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
+        'model_name': lambda self: shared.sd_model.sd_checkpoint_info.model_name,
         'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
         'datetime': lambda self, *args: self.datetime(*args),  # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
         'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
-- 
cgit v1.2.3


From c7af672186ec09a514f0e78aa21155264e56c130 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 3 Dec 2022 09:41:39 +0300
Subject: more simple config option name plus mouseover hint for clip skip

---
 javascript/hints.js | 2 ++
 modules/shared.py   | 2 +-
 2 files changed, 3 insertions(+), 1 deletion(-)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index ac417ff6..57db35be 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -94,6 +94,8 @@ titles = {
     "Add difference": "Result = A + (B - C) * M",
 
     "Learning rate": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
+
+    "Clip skip": "Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc."
 }
 
 
diff --git a/modules/shared.py b/modules/shared.py
index b4ecc7ca..42ec4120 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -371,7 +371,7 @@ options_templates.update(options_section(('sd', "Stable Diffusion"), {
     "enable_batch_seeds": OptionInfo(True, "Make K-diffusion samplers produce same images in a batch as when making a single image"),
     "comma_padding_backtrack": OptionInfo(20, "Increase coherency by padding from the last comma within n tokens when using more than 75 tokens", gr.Slider, {"minimum": 0, "maximum": 74, "step": 1 }),
     "filter_nsfw": OptionInfo(False, "Filter NSFW content"),
-    'CLIP_stop_at_last_layers': OptionInfo(1, "Stop at last layers of CLIP model (CLIP skip)", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
+    'CLIP_stop_at_last_layers': OptionInfo(1, "Clip skip", gr.Slider, {"minimum": 1, "maximum": 12, "step": 1}),
     "random_artist_categories": OptionInfo([], "Allowed categories for random artists selection when using the Roll button", gr.CheckboxGroup, {"choices": artist_db.categories()}),
 }))
 
-- 
cgit v1.2.3


From 7b0a28f8ee937048f594211169565a361a692d2a Mon Sep 17 00:00:00 2001
From: "Alex \"mcmonkey\" Goodwin" <git_commits@alexgoodwin.dev>
Date: Sun, 11 Dec 2022 02:17:14 -0800
Subject: fix hints file typo

---
 javascript/hints.js | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index 47e24616..28e1651b 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -17,7 +17,7 @@ titles = {
     "\u2199\ufe0f": "Read generation parameters from prompt or last generation if prompt is empty into user interface.",
     "\u{1f4c2}": "Open images output directory",
     "\u{1f4be}": "Save style",
-    "\U0001F5D1": "Clear prompt"
+    "\U0001F5D1": "Clear prompt",
     "\u{1f4cb}": "Apply selected styles to current prompt",
 
     "Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt",
-- 
cgit v1.2.3


From d5a9de16620869e0e5521a0a07d58f226ed661af Mon Sep 17 00:00:00 2001
From: repligator <114337591+repligator@users.noreply.github.com>
Date: Sun, 11 Dec 2022 09:39:56 -0500
Subject: Update hints.js - DPM adaptive

Added mouse-over for DPM adaptive
---
 javascript/hints.js | 1 +
 1 file changed, 1 insertion(+)

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index 47e24616..ab087530 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -6,6 +6,7 @@ titles = {
 	"GFPGAN": "Restore low quality faces using GFPGAN neural network",
 	"Euler a": "Euler Ancestral - very creative, each can get a completely different picture depending on step count, setting steps to higher than 30-40 does not help",
 	"DDIM": "Denoising Diffusion Implicit Models - best at inpainting",
+	"DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution", 
 
 	"Batch count": "How many batches of images to create",
 	"Batch size": "How many image to create in a single batch",
-- 
cgit v1.2.3


From 56e557c6ff8a6480887c9c585bf908045ee8e791 Mon Sep 17 00:00:00 2001
From: AUTOMATIC <16777216c@gmail.com>
Date: Sat, 24 Dec 2022 22:39:00 +0300
Subject: added cheap NN approximation for VAE

---
 javascript/hints.js        |   5 +++-
 models/VAE-approx/model.pt | Bin 0 -> 213777 bytes
 modules/sd_samplers.py     |  29 +++++++++++++----------
 modules/sd_vae_approx.py   |  58 +++++++++++++++++++++++++++++++++++++++++++++
 modules/shared.py          |   6 ++---
 5 files changed, 81 insertions(+), 17 deletions(-)
 create mode 100644 models/VAE-approx/model.pt
 create mode 100644 modules/sd_vae_approx.py

(limited to 'javascript/hints.js')

diff --git a/javascript/hints.js b/javascript/hints.js
index a739a177..63e17e05 100644
--- a/javascript/hints.js
+++ b/javascript/hints.js
@@ -97,7 +97,10 @@ titles = {
 
     "Learning rate": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n   rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG:   0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.",
 
-    "Clip skip": "Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc."
+    "Clip skip": "Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc.",
+
+    "Approx NN": "Cheap neural network approximation. Very fast compared to VAE, but produces pictures with 4 times smaller horizontal/vertical resoluton and lower quality.",
+    "Approx cheap": "Very cheap approximation. Very fast compared to VAE, but produces pictures with 8 times smaller horizontal/vertical resoluton and extremely low quality."
 }
 
 
diff --git a/models/VAE-approx/model.pt b/models/VAE-approx/model.pt
new file mode 100644
index 00000000..8bda9d6e
Binary files /dev/null and b/models/VAE-approx/model.pt differ
diff --git a/modules/sd_samplers.py b/modules/sd_samplers.py
index 27ef4ff8..177b5338 100644
--- a/modules/sd_samplers.py
+++ b/modules/sd_samplers.py
@@ -9,7 +9,7 @@ import k_diffusion.sampling
 import torchsde._brownian.brownian_interval
 import ldm.models.diffusion.ddim
 import ldm.models.diffusion.plms
-from modules import prompt_parser, devices, processing, images
+from modules import prompt_parser, devices, processing, images, sd_vae_approx
 
 from modules.shared import opts, cmd_opts, state
 import modules.shared as shared
@@ -106,28 +106,31 @@ def setup_img2img_steps(p, steps=None):
     return steps, t_enc
 
 
-def single_sample_to_image(sample, approximation=False):
-    if approximation:
-        # https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/2
-        coefs = torch.tensor(
-            [[ 0.298,  0.207,  0.208],
-             [ 0.187,  0.286,  0.173],
-             [-0.158,  0.189,  0.264],
-             [-0.184, -0.271, -0.473]]).to(sample.device)
-        x_sample = torch.einsum("lxy,lr -> rxy", sample, coefs)
+approximation_indexes = {"Full": 0, "Approx NN": 1, "Approx cheap": 2}
+
+
+def single_sample_to_image(sample, approximation=None):
+    if approximation is None:
+        approximation = approximation_indexes.get(opts.show_progress_type, 0)
+
+    if approximation == 2:
+        x_sample = sd_vae_approx.cheap_approximation(sample)
+    elif approximation == 1:
+        x_sample = sd_vae_approx.model()(sample.to(devices.device, devices.dtype).unsqueeze(0))[0].detach()
     else:
         x_sample = processing.decode_first_stage(shared.sd_model, sample.unsqueeze(0))[0]
+
     x_sample = torch.clamp((x_sample + 1.0) / 2.0, min=0.0, max=1.0)
     x_sample = 255. * np.moveaxis(x_sample.cpu().numpy(), 0, 2)
     x_sample = x_sample.astype(np.uint8)
     return Image.fromarray(x_sample)
 
 
-def sample_to_image(samples, index=0, approximation=False):
+def sample_to_image(samples, index=0, approximation=None):
     return single_sample_to_image(samples[index], approximation)
 
 
-def samples_to_image_grid(samples, approximation=False):
+def samples_to_image_grid(samples, approximation=None):
     return images.image_grid([single_sample_to_image(sample, approximation) for sample in samples])
 
 
@@ -136,7 +139,7 @@ def store_latent(decoded):
 
     if opts.show_progress_every_n_steps > 0 and shared.state.sampling_step % opts.show_progress_every_n_steps == 0:
         if not shared.parallel_processing_allowed:
-            shared.state.current_image = sample_to_image(decoded, approximation=opts.show_progress_approximate)
+            shared.state.current_image = sample_to_image(decoded)
 
 
 class InterruptedException(BaseException):
diff --git a/modules/sd_vae_approx.py b/modules/sd_vae_approx.py
new file mode 100644
index 00000000..0a58542d
--- /dev/null
+++ b/modules/sd_vae_approx.py
@@ -0,0 +1,58 @@
+import os
+
+import torch
+from torch import nn
+from modules import devices, paths
+
+sd_vae_approx_model = None
+
+
+class VAEApprox(nn.Module):
+    def __init__(self):
+        super(VAEApprox, self).__init__()
+        self.conv1 = nn.Conv2d(4, 8, (7, 7))
+        self.conv2 = nn.Conv2d(8, 16, (5, 5))
+        self.conv3 = nn.Conv2d(16, 32, (3, 3))
+        self.conv4 = nn.Conv2d(32, 64, (3, 3))
+        self.conv5 = nn.Conv2d(64, 32, (3, 3))
+        self.conv6 = nn.Conv2d(32, 16, (3, 3))
+        self.conv7 = nn.Conv2d(16, 8, (3, 3))
+        self.conv8 = nn.Conv2d(8, 3, (3, 3))
+
+    def forward(self, x):
+        extra = 11
+        x = nn.functional.interpolate(x, (x.shape[2] * 2, x.shape[3] * 2))
+        x = nn.functional.pad(x, (extra, extra, extra, extra))
+
+        for layer in [self.conv1, self.conv2, self.conv3, self.conv4, self.conv5, self.conv6, self.conv7, self.conv8, ]:
+            x = layer(x)
+            x = nn.functional.leaky_relu(x, 0.1)
+
+        return x
+
+
+def model():
+    global sd_vae_approx_model
+
+    if sd_vae_approx_model is None:
+        sd_vae_approx_model = VAEApprox()
+        sd_vae_approx_model.load_state_dict(torch.load(os.path.join(paths.models_path, "VAE-approx", "model.pt")))
+        sd_vae_approx_model.eval()
+        sd_vae_approx_model.to(devices.device, devices.dtype)
+
+    return sd_vae_approx_model
+
+
+def cheap_approximation(sample):
+    # https://discuss.huggingface.co/t/decoding-latents-to-rgb-without-upscaling/23204/2
+
+    coefs = torch.tensor([
+        [0.298, 0.207, 0.208],
+        [0.187, 0.286, 0.173],
+        [-0.158, 0.189, 0.264],
+        [-0.184, -0.271, -0.473],
+    ]).to(sample.device)
+
+    x_sample = torch.einsum("lxy,lr -> rxy", sample, coefs)
+
+    return x_sample
diff --git a/modules/shared.py b/modules/shared.py
index eb3e5aec..3cc3c724 100644
--- a/modules/shared.py
+++ b/modules/shared.py
@@ -212,9 +212,9 @@ class State:
 
         import modules.sd_samplers
         if opts.show_progress_grid:
-            self.current_image = modules.sd_samplers.samples_to_image_grid(self.current_latent, approximation=opts.show_progress_approximate)
+            self.current_image = modules.sd_samplers.samples_to_image_grid(self.current_latent)
         else:
-            self.current_image = modules.sd_samplers.sample_to_image(self.current_latent, approximation=opts.show_progress_approximate)
+            self.current_image = modules.sd_samplers.sample_to_image(self.current_latent)
 
         self.current_image_sampling_step = self.sampling_step
 
@@ -392,7 +392,7 @@ options_templates.update(options_section(('interrogate', "Interrogate Options"),
 options_templates.update(options_section(('ui', "User interface"), {
     "show_progressbar": OptionInfo(True, "Show progressbar"),
     "show_progress_every_n_steps": OptionInfo(0, "Show image creation progress every N sampling steps. Set to 0 to disable. Set to -1 to show after completion of batch.", gr.Slider, {"minimum": -1, "maximum": 32, "step": 1}),
-    "show_progress_approximate": OptionInfo(False, "Calculate small previews using fast linear approximation instead of VAE"),
+    "show_progress_type": OptionInfo("Full", "Image creation progress mode", gr.Radio, {"choices": ["Full", "Approx NN", "Approx cheap"]}),
     "show_progress_grid": OptionInfo(True, "Show previews of all images generated in a batch as a grid"),
     "return_grid": OptionInfo(True, "Show grid in results for web"),
     "do_not_show_images": OptionInfo(False, "Do not show any images in results for web"),
-- 
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