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Female warrior
aniverse:v1.3-base-v1-detail-0.5
jacksonmann
jacksonmann
·
09/16/2023
356
Input
prompt
Input prompt
Portrait of a girl, the most beautiful in the world, (medieval armor), metal reflections, upper body, outdoors, intense sunlight, far away castle, professional photograph of a stunning woman detailed, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, blurry background, blurry foreground, bokeh, depth of field, sunset, interaction, Perfectchainmail), (masterpiece), (extremely intricate:1.3), (ultra realistic),
negative_prompt
Specify things to not see in the output
reference_image
Image that the output should be similar to
reference_pose_image
Image with a reference pose
reference_depth_image
Image with a reference depth
image_dimensions
Pixel dimensions of output image (width x height)
512x768
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
1120392817
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
30
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/1e1d53ee7aea407897ce58d8ceaa3641/tmp80lfwq72.png
Finished in 16.7 seconds
Preparing inputs... Processing... 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:17, 1.68it/s] 7%|▋ | 2/30 [00:01<00:15, 1.79it/s] 10%|█ | 3/30 [00:01<00:14, 1.83it/s] 13%|█▎ | 4/30 [00:02<00:14, 1.86it/s] 17%|█▋ | 5/30 [00:02<00:13, 1.86it/s] 20%|██ | 6/30 [00:03<00:12, 1.88it/s] 23%|██▎ | 7/30 [00:03<00:12, 1.88it/s] 27%|██▋ | 8/30 [00:04<00:11, 1.88it/s] 30%|███ | 9/30 [00:04<00:11, 1.88it/s] 33%|███▎ | 10/30 [00:05<00:10, 1.88it/s] 37%|███▋ | 11/30 [00:05<00:10, 1.88it/s] 40%|████ | 12/30 [00:06<00:09, 1.88it/s] 43%|████▎ | 13/30 [00:06<00:09, 1.88it/s] 47%|████▋ | 14/30 [00:07<00:08, 1.88it/s] 50%|█████ | 15/30 [00:08<00:07, 1.88it/s] 53%|█████▎ | 16/30 [00:08<00:07, 1.88it/s] 57%|█████▋ | 17/30 [00:09<00:06, 1.88it/s] 60%|██████ | 18/30 [00:09<00:06, 1.87it/s] 63%|██████▎ | 19/30 [00:10<00:05, 1.88it/s] 67%|██████▋ | 20/30 [00:10<00:05, 1.88it/s] 70%|███████ | 21/30 [00:11<00:04, 1.87it/s] 73%|███████▎ | 22/30 [00:11<00:04, 1.87it/s] 77%|███████▋ | 23/30 [00:12<00:03, 1.87it/s] 80%|████████ | 24/30 [00:12<00:03, 1.87it/s] 83%|████████▎ | 25/30 [00:13<00:02, 1.87it/s] 87%|████████▋ | 26/30 [00:13<00:02, 1.87it/s] 90%|█████████ | 27/30 [00:14<00:01, 1.87it/s] 93%|█████████▎| 28/30 [00:14<00:01, 1.87it/s] 97%|█████████▋| 29/30 [00:15<00:00, 1.89it/s] 100%|██████████| 30/30 [00:15<00:00, 2.22it/s] 100%|██████████| 30/30 [00:15<00:00, 1.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.
prompt
Input prompt
Portrait of a girl, the most beautiful in the world, (medieval armor), metal reflections, upper body, outdoors, intense sunlight, far away castle, professional photograph of a stunning woman detailed, sharp focus, dramatic, award winning, cinematic lighting, volumetrics dtx, (film grain, blurry background, blurry foreground, bokeh, depth of field, sunset, interaction, Perfectchainmail), (masterpiece), (extremely intricate:1.3), (ultra realistic),
negative_prompt
Specify things to not see in the output
reference_image
Image that the output should be similar to
reference_pose_image
Image with a reference pose
reference_depth_image
Image with a reference depth
image_dimensions
Pixel dimensions of output image (width x height)
512x768
num_outputs
Number of output images
1
seed
Random seed. Set as -1 to randomize the seed
1120392817
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
30
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/1e1d53ee7aea407897ce58d8ceaa3641/tmp80lfwq72.png
Finished in 16.7 seconds
Preparing inputs... Processing... 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:17, 1.68it/s] 7%|▋ | 2/30 [00:01<00:15, 1.79it/s] 10%|█ | 3/30 [00:01<00:14, 1.83it/s] 13%|█▎ | 4/30 [00:02<00:14, 1.86it/s] 17%|█▋ | 5/30 [00:02<00:13, 1.86it/s] 20%|██ | 6/30 [00:03<00:12, 1.88it/s] 23%|██▎ | 7/30 [00:03<00:12, 1.88it/s] 27%|██▋ | 8/30 [00:04<00:11, 1.88it/s] 30%|███ | 9/30 [00:04<00:11, 1.88it/s] 33%|███▎ | 10/30 [00:05<00:10, 1.88it/s] 37%|███▋ | 11/30 [00:05<00:10, 1.88it/s] 40%|████ | 12/30 [00:06<00:09, 1.88it/s] 43%|████▎ | 13/30 [00:06<00:09, 1.88it/s] 47%|████▋ | 14/30 [00:07<00:08, 1.88it/s] 50%|█████ | 15/30 [00:08<00:07, 1.88it/s] 53%|█████▎ | 16/30 [00:08<00:07, 1.88it/s] 57%|█████▋ | 17/30 [00:09<00:06, 1.88it/s] 60%|██████ | 18/30 [00:09<00:06, 1.87it/s] 63%|██████▎ | 19/30 [00:10<00:05, 1.88it/s] 67%|██████▋ | 20/30 [00:10<00:05, 1.88it/s] 70%|███████ | 21/30 [00:11<00:04, 1.87it/s] 73%|███████▎ | 22/30 [00:11<00:04, 1.87it/s] 77%|███████▋ | 23/30 [00:12<00:03, 1.87it/s] 80%|████████ | 24/30 [00:12<00:03, 1.87it/s] 83%|████████▎ | 25/30 [00:13<00:02, 1.87it/s] 87%|████████▋ | 26/30 [00:13<00:02, 1.87it/s] 90%|█████████ | 27/30 [00:14<00:01, 1.87it/s] 93%|█████████▎| 28/30 [00:14<00:01, 1.87it/s] 97%|█████████▋| 29/30 [00:15<00:00, 1.89it/s] 100%|██████████| 30/30 [00:15<00:00, 2.22it/s] 100%|██████████| 30/30 [00:15<00:00, 1.90it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.