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Girl under the moonlight
meina-unreal:v4.1-controlnet-upscaler
mjpyeon
mjpyeon
·
08/25/2023
390
Input
prompt
Input prompt
realistic, 1girl, white hair, purple eyes, glowing eyes, crop top, skirt, parted lips, blush, night, flowers, moon, moonlight
details
How much details the image should have
0.5
reference_image
Image with a reference architecture shape
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2),
image_dimensions
Pixel dimensions of output image (width x height)
1024x1536
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
2875240678
sampler
Sampler type
Euler a
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
Whether to ignore the last layer of CLIP network or not
true
Output
https://files.tungsten.run/uploads/1e86a083f02c4db79a6db2ee906902ea/tmpuahleuw_.png
Setting up the model... Predicting... 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:18, 2.00s/it] 5%|▌ | 2/40 [00:02<00:38, 1.00s/it] 8%|▊ | 3/40 [00:02<00:25, 1.46it/s] 10%|█ | 4/40 [00:02<00:19, 1.86it/s] 12%|█▎ | 5/40 [00:03<00:15, 2.20it/s] 15%|█▌ | 6/40 [00:03<00:13, 2.48it/s] 18%|█▊ | 7/40 [00:03<00:12, 2.69it/s] 20%|██ | 8/40 [00:04<00:11, 2.84it/s] 22%|██▎ | 9/40 [00:04<00:10, 2.96it/s] 25%|██▌ | 10/40 [00:04<00:09, 3.03it/s] 28%|██▊ | 11/40 [00:05<00:09, 3.09it/s] 30%|███ | 12/40 [00:05<00:08, 3.14it/s] 32%|███▎ | 13/40 [00:05<00:08, 3.17it/s] 35%|███▌ | 14/40 [00:06<00:08, 3.19it/s] 38%|███▊ | 15/40 [00:06<00:07, 3.21it/s] 40%|████ | 16/40 [00:06<00:07, 3.24it/s] 42%|████▎ | 17/40 [00:06<00:07, 3.25it/s] 45%|████▌ | 18/40 [00:07<00:06, 3.24it/s] 48%|████▊ | 19/40 [00:07<00:06, 3.23it/s] 50%|█████ | 20/40 [00:07<00:06, 3.24it/s] 52%|█████▎ | 21/40 [00:08<00:05, 3.24it/s] 55%|█████▌ | 22/40 [00:08<00:05, 3.23it/s] 57%|█████▊ | 23/40 [00:08<00:05, 3.23it/s] 60%|██████ | 24/40 [00:09<00:04, 3.24it/s] 62%|██████▎ | 25/40 [00:09<00:04, 3.24it/s] 65%|██████▌ | 26/40 [00:09<00:04, 3.22it/s] 68%|██████▊ | 27/40 [00:10<00:04, 3.23it/s] 70%|███████ | 28/40 [00:10<00:03, 3.24it/s] 72%|███████▎ | 29/40 [00:10<00:03, 3.22it/s] 75%|███████▌ | 30/40 [00:10<00:03, 3.23it/s] 78%|███████▊ | 31/40 [00:11<00:02, 3.24it/s] 80%|████████ | 32/40 [00:11<00:02, 3.24it/s] 82%|████████▎ | 33/40 [00:11<00:02, 3.23it/s] 85%|████████▌ | 34/40 [00:12<00:01, 3.23it/s] 88%|████████▊ | 35/40 [00:12<00:01, 3.23it/s] 90%|█████████ | 36/40 [00:12<00:01, 3.22it/s] 92%|█████████▎| 37/40 [00:13<00:00, 3.24it/s] 95%|█████████▌| 38/40 [00:13<00:00, 3.24it/s] 98%|█████████▊| 39/40 [00:13<00:00, 3.22it/s] 100%|██████████| 40/40 [00:14<00:00, 3.22it/s] 100%|██████████| 40/40 [00:14<00:00, 2.85it/s] Upscale generated images: 512x768 -> 1024x1536 Upscale image 1... Done. Prediction done.
prompt
Input prompt
realistic, 1girl, white hair, purple eyes, glowing eyes, crop top, skirt, parted lips, blush, night, flowers, moon, moonlight
details
How much details the image should have
0.5
reference_image
Image with a reference architecture shape
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), monochrome, zombie, (interlocked fingers:1.2),
image_dimensions
Pixel dimensions of output image (width x height)
1024x1536
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
2875240678
sampler
Sampler type
Euler a
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
7
clip_skip
Whether to ignore the last layer of CLIP network or not
true
https://files.tungsten.run/uploads/1e86a083f02c4db79a6db2ee906902ea/tmpuahleuw_.png
Setting up the model... Predicting... 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:02<01:18, 2.00s/it] 5%|▌ | 2/40 [00:02<00:38, 1.00s/it] 8%|▊ | 3/40 [00:02<00:25, 1.46it/s] 10%|█ | 4/40 [00:02<00:19, 1.86it/s] 12%|█▎ | 5/40 [00:03<00:15, 2.20it/s] 15%|█▌ | 6/40 [00:03<00:13, 2.48it/s] 18%|█▊ | 7/40 [00:03<00:12, 2.69it/s] 20%|██ | 8/40 [00:04<00:11, 2.84it/s] 22%|██▎ | 9/40 [00:04<00:10, 2.96it/s] 25%|██▌ | 10/40 [00:04<00:09, 3.03it/s] 28%|██▊ | 11/40 [00:05<00:09, 3.09it/s] 30%|███ | 12/40 [00:05<00:08, 3.14it/s] 32%|███▎ | 13/40 [00:05<00:08, 3.17it/s] 35%|███▌ | 14/40 [00:06<00:08, 3.19it/s] 38%|███▊ | 15/40 [00:06<00:07, 3.21it/s] 40%|████ | 16/40 [00:06<00:07, 3.24it/s] 42%|████▎ | 17/40 [00:06<00:07, 3.25it/s] 45%|████▌ | 18/40 [00:07<00:06, 3.24it/s] 48%|████▊ | 19/40 [00:07<00:06, 3.23it/s] 50%|█████ | 20/40 [00:07<00:06, 3.24it/s] 52%|█████▎ | 21/40 [00:08<00:05, 3.24it/s] 55%|█████▌ | 22/40 [00:08<00:05, 3.23it/s] 57%|█████▊ | 23/40 [00:08<00:05, 3.23it/s] 60%|██████ | 24/40 [00:09<00:04, 3.24it/s] 62%|██████▎ | 25/40 [00:09<00:04, 3.24it/s] 65%|██████▌ | 26/40 [00:09<00:04, 3.22it/s] 68%|██████▊ | 27/40 [00:10<00:04, 3.23it/s] 70%|███████ | 28/40 [00:10<00:03, 3.24it/s] 72%|███████▎ | 29/40 [00:10<00:03, 3.22it/s] 75%|███████▌ | 30/40 [00:10<00:03, 3.23it/s] 78%|███████▊ | 31/40 [00:11<00:02, 3.24it/s] 80%|████████ | 32/40 [00:11<00:02, 3.24it/s] 82%|████████▎ | 33/40 [00:11<00:02, 3.23it/s] 85%|████████▌ | 34/40 [00:12<00:01, 3.23it/s] 88%|████████▊ | 35/40 [00:12<00:01, 3.23it/s] 90%|█████████ | 36/40 [00:12<00:01, 3.22it/s] 92%|█████████▎| 37/40 [00:13<00:00, 3.24it/s] 95%|█████████▌| 38/40 [00:13<00:00, 3.24it/s] 98%|█████████▊| 39/40 [00:13<00:00, 3.22it/s] 100%|██████████| 40/40 [00:14<00:00, 3.22it/s] 100%|██████████| 40/40 [00:14<00:00, 2.85it/s] Upscale generated images: 512x768 -> 1024x1536 Upscale image 1... Done. Prediction done.