Xyem
commented
1 year ago This also breaks https://github.com/Extraltodeus/test_my_prompt. Hazarding a guess that it is because ControlNet emits an extra image which these scripts aren't expecting.
Closed machado2 closed 1 year ago
Xyem
commented
1 year ago This also breaks https://github.com/Extraltodeus/test_my_prompt. Hazarding a guess that it is because ControlNet emits an extra image which these scripts aren't expecting.
rethink-studios
commented
1 year ago Same here:
Loading model from cache: control_sd15_depth [fef5e48e] Loading preprocessor: depth 0%| | 0/20 [00:00<?, ?it/s]Warning: StyleAdapter and cfg/guess mode may not works due to non-batch-cond inference 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 8.70it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:02<00:00, 8.59it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 10.11it/s] 100%|██████████████████████████████████████████████████████████████████████████████████| 20/20 [00:01<00:00, 10.97it/s] Error completing request0:25, 10.91it/s] Arguments: ('task(n3x62zinvfrfkno)', 'a photo of a cat on a blue|white|yellow bed', 'deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime:1.4), text, close up, cropped, out of frame, worst quality, low quality, jpeg artifacts, ugly, duplicate, morbid, mutilated, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, deformed, blurry, dehydrated, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, gross proportions, malformed limbs, missing arms, missing legs, extra eyes, extra arms, extra legs, fused fingers, too many fingers, long neck\n', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, [], 2, False, True, False, 0, -1, False, '', 0, True, False, 1, False, False, False, 1.1, 1.5, 100, 0.7, False, False, True, False, False, 0, 'Gustavosta/MagicPrompt-Stable-Diffusion', '', False, False, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, 'LoRA', 'None', 1, 1, None, 'Refresh models', False, True, True, 'depth', 'control_sd15_depth [fef5e48e]', 1, {'image': array([[[138, 111, 88], [138, 112, 85], [138, 111, 84], ..., [140, 109, 78], [141, 109, 80], [138, 109, 82]],
[[140, 112, 86],
[139, 111, 85],
[139, 112, 85],
...,
[140, 109, 81],
[139, 109, 81],
[140, 109, 79]],
[[139, 111, 85],
[139, 112, 85],
[139, 111, 85],
...,
[140, 109, 80],
[140, 110, 80],
[141, 109, 80]],
...,
[[170, 0, 23],
[166, 1, 22],
[161, 3, 20],
...,
[239, 16, 103],
[237, 16, 98],
[238, 25, 98]],
[[167, 4, 18],
[165, 0, 13],
[159, 0, 9],
...,
[247, 20, 105],
[241, 12, 97],
[230, 13, 83]],
[[149, 18, 19],
[158, 5, 10],
[158, 2, 10],
...,
[242, 18, 96],
[243, 26, 92],
[223, 42, 88]]], dtype=uint8), 'mask': array([[[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
...,
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255]],
[[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
...,
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255]],
[[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
...,
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255]],
...,
[[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
...,
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255]],
[[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
...,
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255]],
[[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
...,
[ 0, 0, 0, 255],
[ 0, 0, 0, 255],
[ 0, 0, 0, 255]]], dtype=uint8)}, False, 'Just Resize', False, False, 384, 64, 64, 0, 1, False, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, False, 'none', 'None', 1, None, False, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 0, 1, False, False, 1, 0.15, False, 'OUT', ['OUT'], 5, 0, 'Bilinear', False, 'Pooling Max', False, 'Lerp', '', '', False, False, False, False, False, '1:1,1:2,1:2', '0:0,0:0,0:1', '0.2,0.8,0.8', 20, '', False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0, False, False, None, True, None, None, False, None, None, None, 50, False, 4.0, '', 10.0, 'Linear', 3, False, True, 30.0, True, False, False, 0, 0.0, 'Lanczos', 1, True, 0, 0, 0.0001) {}Traceback (most recent call last): File "D:\stable-diffusion-webui\modules\call_queue.py", line 56, in f res = list(func(*args, *kwargs)) File "D:\stable-diffusion-webui\modules\call_queue.py", line 37, in f res = func(args, *kwargs) File "D:\stable-diffusion-webui\modules\txt2img.py", line 53, in txt2img processed = modules.scripts.scripts_txt2img.run(p, args) File "D:\stable-diffusion-webui\modules\scripts.py", line 376, in run processed = script.run(p, *script_args) File "D:\stable-diffusion-webui\scripts\prompt_matrix.py", line 103, in run grid = images.draw_prompt_matrix(grid, processed.images[0].width, processed.images[1].height, prompt_matrix_parts, margin_size) File "D:\stable-diffusion-webui\modules\images.py", line 236, in draw_prompt_matrix return draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin) File "D:\stable-diffusion-webui\modules\images.py", line 178, in draw_grid_annotations assert cols == len(hor_texts), f'bad number of horizontal texts: {len(hor_texts)}; must be {cols}' AssertionError: bad number of horizontal texts: 2; must be 3
Total progress: 160it [00:44, 10.91it/s]
xarthurx
commented
1 year ago Can confirm the issue.
nijiazhi
commented
11 months ago Can confirm the issue.
so, how to solve the problem？
nijiazhi
commented
11 months ago When I use it on txt2img together with prompt matrix, it breaks at the end when it would plot the large image with the matrix. The individual images rendered fine and where saved, just the final plot with all together that fails.
Error completing request█████████████████████████████████████████████████████████████████| 2/2 [00:06<00:00, 3.01s/it] Arguments: ('task(hen52ry7863ru4a)', 'car | potato', '', [], 1, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, [], 1, False, 'prompt, keyword', 'keyword1', 'None', 'textual inversion first', True, 'none', 'control_scribble-fp16 [c508311e]', 1, {'image': array([[[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]], ..., [[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]], [[255, 255, 255], [255, 255, 255], [255, 255, 255], ..., [255, 255, 255], [255, 255, 255], [255, 255, 255]]], dtype=uint8), 'mask': array([[[ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255], ..., [ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255]], [[ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255], ..., [ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255]], [[ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255], ..., [ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255]], ..., [[ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255], ..., [ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255]], [[ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255], ..., [ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255]], [[ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255], ..., [ 0, 0, 0, 255], [ 0, 0, 0, 255], [ 0, 0, 0, 255]]], dtype=uint8)}, True, 'Scale to Fit (Inner Fit)', False, False, 64, 64, 64, 1, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0) {} Traceback (most recent call last): File "D:\stable-diffusion-webui\modules\call_queue.py", line 56, in f res = list(func(*args, **kwargs)) File "D:\stable-diffusion-webui\modules\call_queue.py", line 37, in f res = func(*args, **kwargs) File "D:\stable-diffusion-webui\modules\txt2img.py", line 53, in txt2img processed = modules.scripts.scripts_txt2img.run(p, *args) File "D:\stable-diffusion-webui\modules\scripts.py", line 376, in run processed = script.run(p, *script_args) File "D:\stable-diffusion-webui\scripts\prompt_matrix.py", line 102, in run grid = images.image_grid(processed.images, p.batch_size, rows=1 << ((len(prompt_matrix_parts) - 1) // 2)) File "D:\stable-diffusion-webui\modules\images.py", line 52, in image_grid grid.paste(img, box=(i % params.cols * w, i // params.cols * h)) File "d:\stable-diffusion-webui\venv\lib\site-packages\PIL\Image.py", line 1711, in paste raise ValueError(msg) ValueError: cannot determine region size; use 4-item box
have you fixed the problem?
arjuna-dev
commented
9 months ago Same problem here.
An alternative to achieve that functionality is to use a script with X/Y/Z plot and Prompt S/R
x-FrozenLake-x
commented
3 months ago Can confirm the issue.
When I use it on txt2img together with prompt matrix, it breaks at the end when it would plot the large image with the matrix. The individual images rendered fine and where saved, just the final plot with all together that fails.