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elegant girl
protovision-xl:r0.6.2.0
waterfall0326
waterfall0326
·
10/16/2023
360
Input
prompt
Input prompt
fashion editorial style, photograph, Ilford HP5, Colossal Illuminated ([Wanjiru:Sofia:2]:1.1) , wearing Fresh [German:Bulgarian:10] Sandstone fluorescent orange Wide-brimmed hat, Resting on a diagonal, Emotional Twist braid hairstyle, Accent lighting, Beautifully Lit, Canon R5, anaglyph filter, Phase One XF IQ4 150MP, telephoto lens, F/8, Light, high fashion, trendy, stylish, editorial, magazine style, professional, highly detailed
negative_prompt
Specify things to not see in the output
outdated, blurry, noisy, unattractive, sloppy
image_dimensions
Pixel dimensions of output image (width x height)
1024x1024
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
2891146582
sampler
Sampler type
DPM++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
3.5
clip_skip
Whether to ignore the last layer of CLIP network or not
true
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
Output
https://files.tungsten.run/uploads/b6cc1abf24d449a1bd249ecbdcfacf73/tmpip0w__19.png
Finished in 39.0 seconds
r0.6.2.0: Pulling from jacksonmann/protovision-xl 360eba32fa65: Already exists 673a53d7ddde: Already exists 921a206300e6: Already exists 84509522a622: Already exists b428991aa5f8: Already exists 63ccbaa9fd78: Already exists 6c98a790576b: Already exists f45551226080: Already exists 8cdd355d1bfd: Already exists f5276022394f: Already exists 409ed04131eb: Already exists ee0904b7ad65: Already exists 8915fc22d7d8: Already exists fa80878e923e: Already exists 4f4fb700ef54: Already exists ab7fc524bc9e: Pull complete Setting up the model... Processing... 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:05, 2.26s/it] 7%|▋ | 2/30 [00:03<00:46, 1.66s/it] 10%|█ | 3/30 [00:04<00:39, 1.45s/it] 13%|█▎ | 4/30 [00:05<00:35, 1.38s/it] 17%|█▋ | 5/30 [00:07<00:32, 1.32s/it] 20%|██ | 6/30 [00:08<00:30, 1.29s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.30s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.26s/it] 30%|███ | 9/30 [00:12<00:25, 1.23s/it] 33%|███▎ | 10/30 [00:13<00:24, 1.23s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.23s/it] 40%|████ | 12/30 [00:15<00:22, 1.22s/it] 43%|████▎ | 13/30 [00:16<00:20, 1.23s/it] 47%|████▋ | 14/30 [00:18<00:19, 1.23s/it] 50%|█████ | 15/30 [00:19<00:18, 1.23s/it] 53%|█████▎ | 16/30 [00:20<00:16, 1.21s/it] 57%|█████▋ | 17/30 [00:21<00:15, 1.21s/it] 60%|██████ | 18/30 [00:22<00:14, 1.20s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.20s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.20s/it] 70%|███████ | 21/30 [00:26<00:10, 1.19s/it] 73%|███████▎ | 22/30 [00:27<00:09, 1.16s/it] 77%|███████▋ | 23/30 [00:28<00:08, 1.15s/it] 80%|████████ | 24/30 [00:29<00:06, 1.14s/it] 83%|████████▎ | 25/30 [00:31<00:05, 1.15s/it] 87%|████████▋ | 26/30 [00:32<00:04, 1.14s/it] 90%|█████████ | 27/30 [00:33<00:03, 1.14s/it] 93%|█████████▎| 28/30 [00:34<00:02, 1.12s/it] 97%|█████████▋| 29/30 [00:35<00:01, 1.03s/it] 100%|██████████| 30/30 [00:36<00:00, 1.04it/s] 100%|██████████| 30/30 [00:36<00:00, 1.20s/it] Decoding latents in cuda:0... done in 1.85s Move latents to cpu... done in 0.0s Finished.
prompt
Input prompt
fashion editorial style, photograph, Ilford HP5, Colossal Illuminated ([Wanjiru:Sofia:2]:1.1) , wearing Fresh [German:Bulgarian:10] Sandstone fluorescent orange Wide-brimmed hat, Resting on a diagonal, Emotional Twist braid hairstyle, Accent lighting, Beautifully Lit, Canon R5, anaglyph filter, Phase One XF IQ4 150MP, telephoto lens, F/8, Light, high fashion, trendy, stylish, editorial, magazine style, professional, highly detailed
negative_prompt
Specify things to not see in the output
outdated, blurry, noisy, unattractive, sloppy
image_dimensions
Pixel dimensions of output image (width x height)
1024x1024
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
2891146582
sampler
Sampler type
DPM++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
3.5
clip_skip
Whether to ignore the last layer of CLIP network or not
true
lora
LoRA file. You can apply and adjust the magnitude by putting the following to the prompt: <lora:[FILE_NAME]:[MAGNITUDE]>
https://files.tungsten.run/uploads/b6cc1abf24d449a1bd249ecbdcfacf73/tmpip0w__19.png
Finished in 39.0 seconds
r0.6.2.0: Pulling from jacksonmann/protovision-xl 360eba32fa65: Already exists 673a53d7ddde: Already exists 921a206300e6: Already exists 84509522a622: Already exists b428991aa5f8: Already exists 63ccbaa9fd78: Already exists 6c98a790576b: Already exists f45551226080: Already exists 8cdd355d1bfd: Already exists f5276022394f: Already exists 409ed04131eb: Already exists ee0904b7ad65: Already exists 8915fc22d7d8: Already exists fa80878e923e: Already exists 4f4fb700ef54: Already exists ab7fc524bc9e: Pull complete Setting up the model... Processing... 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:05, 2.26s/it] 7%|▋ | 2/30 [00:03<00:46, 1.66s/it] 10%|█ | 3/30 [00:04<00:39, 1.45s/it] 13%|█▎ | 4/30 [00:05<00:35, 1.38s/it] 17%|█▋ | 5/30 [00:07<00:32, 1.32s/it] 20%|██ | 6/30 [00:08<00:30, 1.29s/it] 23%|██▎ | 7/30 [00:09<00:29, 1.30s/it] 27%|██▋ | 8/30 [00:10<00:27, 1.26s/it] 30%|███ | 9/30 [00:12<00:25, 1.23s/it] 33%|███▎ | 10/30 [00:13<00:24, 1.23s/it] 37%|███▋ | 11/30 [00:14<00:23, 1.23s/it] 40%|████ | 12/30 [00:15<00:22, 1.22s/it] 43%|████▎ | 13/30 [00:16<00:20, 1.23s/it] 47%|████▋ | 14/30 [00:18<00:19, 1.23s/it] 50%|█████ | 15/30 [00:19<00:18, 1.23s/it] 53%|█████▎ | 16/30 [00:20<00:16, 1.21s/it] 57%|█████▋ | 17/30 [00:21<00:15, 1.21s/it] 60%|██████ | 18/30 [00:22<00:14, 1.20s/it] 63%|██████▎ | 19/30 [00:24<00:13, 1.20s/it] 67%|██████▋ | 20/30 [00:25<00:12, 1.20s/it] 70%|███████ | 21/30 [00:26<00:10, 1.19s/it] 73%|███████▎ | 22/30 [00:27<00:09, 1.16s/it] 77%|███████▋ | 23/30 [00:28<00:08, 1.15s/it] 80%|████████ | 24/30 [00:29<00:06, 1.14s/it] 83%|████████▎ | 25/30 [00:31<00:05, 1.15s/it] 87%|████████▋ | 26/30 [00:32<00:04, 1.14s/it] 90%|█████████ | 27/30 [00:33<00:03, 1.14s/it] 93%|█████████▎| 28/30 [00:34<00:02, 1.12s/it] 97%|█████████▋| 29/30 [00:35<00:01, 1.03s/it] 100%|██████████| 30/30 [00:36<00:00, 1.04it/s] 100%|██████████| 30/30 [00:36<00:00, 1.20s/it] Decoding latents in cuda:0... done in 1.85s Move latents to cpu... done in 0.0s Finished.