mirror of
https://github.com/vladmandic/automatic
synced 2026-09-20 01:31:13 +02:00
fix img2img batch
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+2
-2
@@ -16,7 +16,7 @@ OPTIONAL:
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- masking api
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- preprocess api
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## Update for 2023-01-28
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## Update for 2023-01-29
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Another big release, highlights being:
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- A lot more functionality in the **Control** module:
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@@ -141,7 +141,7 @@ As of this release, default backend is set to **diffusers** as its more feature
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- modularized blip/booru interrogate
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now appears as toolbuttons on image/gallery output
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- faster browser page load
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- cleanup hints
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- cleanup hints, thanks @brknsoul
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- cleanup settings
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- **server**
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- all move/offload options are disable by default for optimal performance
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Submodule extensions-builtin/stable-diffusion-webui-images-browser updated: 27fe4a713d...8dc4665c4f
@@ -23,10 +23,6 @@
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.livePreview img { position: absolute; object-fit: contain; width: 100%; height: 100%; }
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.dark .livePreview { background-color: rgb(17 24 39 / var(--tw-bg-opacity)); }
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.popup-metadata { color: white; background: #0000; display: inline-block; white-space: pre-wrap; font-size: 0.75em; }
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.global-popup{ display: flex; position: fixed; z-index: 10001; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(20, 20, 20, 0.95);}
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.global-popup-close:before { content: "×"; }
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.global-popup-close{ position: fixed; right: 0.5em; top: 0; cursor: pointer; color: white; font-size: 32pt; }
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.global-popup-inner{ display: inline-block; margin: auto; padding: 2em; }
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/* fullpage image viewer */
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#lightboxModal{ display: none; position: fixed; z-index: 1001; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(20, 20, 20, 0.75); backdrop-filter: blur(6px);
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@@ -33,10 +33,7 @@ async function setupControlUI() {
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const name = tab.innerText.toLowerCase();
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for (let i = 0; i < 10; i += 1) {
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const btn = gradioApp().getElementById(`refresh_${name}_models_${i}`);
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if (btn) {
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btn.click();
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console.log('HERE', `refresh_${name}_models_${i}`);
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}
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if (btn) btn.click();
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}
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}
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}
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@@ -145,10 +145,6 @@ div#extras_scale_to_tab div.form{ flex-direction: row; }
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.livePreview img { position: absolute; object-fit: contain; width: 100%; height: 100%; }
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.dark .livePreview { background-color: rgb(17 24 39 / var(--tw-bg-opacity)); }
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.popup-metadata { color: white; background: #0000; display: inline-block; white-space: pre-wrap; font-size: var(--text-xxs); }
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.global-popup{ display: flex; position: fixed; z-index: 10001; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(20, 20, 20, 0.95);}
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.global-popup-close:before { content: "×"; }
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.global-popup-close{ position: fixed; right: 0.5em; top: 0; cursor: pointer; color: white; font-size: 32pt; }
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.global-popup-inner{ display: inline-block; margin: auto; padding: 2em; }
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/* fullpage image viewer */
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#lightboxModal{ display: none; position: fixed; z-index: 1001; left: 0; top: 0; width: 100%; height: 100%; overflow: auto; background-color: rgba(20, 20, 20, 0.75); backdrop-filter: blur(6px);
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@@ -23,9 +23,11 @@ def process_batch(p, input_files, input_dir, output_dir, inpaint_mask_dir, args)
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shared.log.error(f"Process batch: directory not found: {input_dir}")
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return
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image_files = os.listdir(input_dir)
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image_files = [os.path.join(input_dir, f) for f in image_files]
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is_inpaint_batch = False
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if inpaint_mask_dir:
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inpaint_masks = os.listdir(inpaint_mask_dir)
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inpaint_masks = [os.path.join(inpaint_mask_dir, f) for f in inpaint_masks]
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is_inpaint_batch = len(inpaint_masks) > 0
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if is_inpaint_batch:
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shared.log.info(f"Process batch: inpaint batch masks={len(inpaint_masks)}")
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+9
-2
@@ -1,9 +1,12 @@
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import os
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import psutil
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import torch
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from modules import shared
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from modules import shared, errors
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fail_once = False
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def memory_stats():
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global fail_once # pylint: disable=global-statement
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def gb(val: float):
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return round(val / 1024 / 1024 / 1024, 2)
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@@ -15,7 +18,11 @@ def memory_stats():
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ram = { 'used': gb(res.rss), 'total': gb(ram_total) }
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mem.update({ 'ram': ram })
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except Exception as e:
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mem.update({ 'ram': e })
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if not fail_once:
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shared.log.error('Memory stats: {e}')
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errors.display(e, 'Memory stats')
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fail_once = True
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mem.update({ 'ram': str(e) })
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try:
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s = torch.cuda.mem_get_info()
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gpu = { 'used': gb(s[1] - s[0]), 'total': gb(s[1]) }
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