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Angry Turquoise
minion-style:v1.1-base-v1.3
waterfall0326
waterfall0326
·
10/18/2023
369
Input
prompt
Input prompt
angry
negative_prompt
Specify things to not see in the output
minion_style
Minion Style
MinionStyle Turquoise
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
-1
sampler
Sampler type
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
6
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/8c71ce57ff094e8aa24fc7ef18ccafc6/tmpxtiul2hq.png
Finished in 11.1 seconds
Setting up the model... Processing... Using seed 2557397548 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:26, 1.09it/s] 7%|▋ | 2/30 [00:01<00:14, 1.92it/s] 10%|█ | 3/30 [00:01<00:10, 2.53it/s] 13%|█▎ | 4/30 [00:01<00:08, 2.97it/s] 17%|█▋ | 5/30 [00:01<00:07, 3.29it/s] 20%|██ | 6/30 [00:02<00:06, 3.51it/s] 23%|██▎ | 7/30 [00:02<00:06, 3.69it/s] 27%|██▋ | 8/30 [00:02<00:05, 3.80it/s] 30%|███ | 9/30 [00:02<00:05, 3.86it/s] 33%|███▎ | 10/30 [00:03<00:05, 3.91it/s] 37%|███▋ | 11/30 [00:03<00:04, 3.96it/s] 40%|████ | 12/30 [00:03<00:04, 4.00it/s] 43%|████▎ | 13/30 [00:03<00:04, 4.02it/s] 47%|████▋ | 14/30 [00:04<00:03, 4.02it/s] 50%|█████ | 15/30 [00:04<00:03, 4.02it/s] 53%|█████▎ | 16/30 [00:04<00:03, 4.03it/s] 57%|█████▋ | 17/30 [00:04<00:03, 4.04it/s] 60%|██████ | 18/30 [00:05<00:02, 4.03it/s] 63%|██████▎ | 19/30 [00:05<00:02, 4.02it/s] 67%|██████▋ | 20/30 [00:05<00:02, 4.04it/s] 70%|███████ | 21/30 [00:05<00:02, 4.04it/s] 73%|███████▎ | 22/30 [00:06<00:01, 4.05it/s] 77%|███████▋ | 23/30 [00:06<00:01, 4.03it/s] 80%|████████ | 24/30 [00:06<00:01, 4.02it/s] 83%|████████▎ | 25/30 [00:06<00:01, 4.03it/s] 87%|████████▋ | 26/30 [00:07<00:00, 4.03it/s] 90%|█████████ | 27/30 [00:07<00:00, 4.01it/s] 93%|█████████▎| 28/30 [00:07<00:00, 4.02it/s] 97%|█████████▋| 29/30 [00:07<00:00, 4.02it/s] 100%|██████████| 30/30 [00:08<00:00, 4.04it/s] 100%|██████████| 30/30 [00:08<00:00, 3.71it/s] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.0s Finished.
prompt
Input prompt
angry
negative_prompt
Specify things to not see in the output
minion_style
Minion Style
MinionStyle Turquoise
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
-1
sampler
Sampler type
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
6
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/8c71ce57ff094e8aa24fc7ef18ccafc6/tmpxtiul2hq.png
Finished in 11.1 seconds
Setting up the model... Processing... Using seed 2557397548 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:26, 1.09it/s] 7%|▋ | 2/30 [00:01<00:14, 1.92it/s] 10%|█ | 3/30 [00:01<00:10, 2.53it/s] 13%|█▎ | 4/30 [00:01<00:08, 2.97it/s] 17%|█▋ | 5/30 [00:01<00:07, 3.29it/s] 20%|██ | 6/30 [00:02<00:06, 3.51it/s] 23%|██▎ | 7/30 [00:02<00:06, 3.69it/s] 27%|██▋ | 8/30 [00:02<00:05, 3.80it/s] 30%|███ | 9/30 [00:02<00:05, 3.86it/s] 33%|███▎ | 10/30 [00:03<00:05, 3.91it/s] 37%|███▋ | 11/30 [00:03<00:04, 3.96it/s] 40%|████ | 12/30 [00:03<00:04, 4.00it/s] 43%|████▎ | 13/30 [00:03<00:04, 4.02it/s] 47%|████▋ | 14/30 [00:04<00:03, 4.02it/s] 50%|█████ | 15/30 [00:04<00:03, 4.02it/s] 53%|█████▎ | 16/30 [00:04<00:03, 4.03it/s] 57%|█████▋ | 17/30 [00:04<00:03, 4.04it/s] 60%|██████ | 18/30 [00:05<00:02, 4.03it/s] 63%|██████▎ | 19/30 [00:05<00:02, 4.02it/s] 67%|██████▋ | 20/30 [00:05<00:02, 4.04it/s] 70%|███████ | 21/30 [00:05<00:02, 4.04it/s] 73%|███████▎ | 22/30 [00:06<00:01, 4.05it/s] 77%|███████▋ | 23/30 [00:06<00:01, 4.03it/s] 80%|████████ | 24/30 [00:06<00:01, 4.02it/s] 83%|████████▎ | 25/30 [00:06<00:01, 4.03it/s] 87%|████████▋ | 26/30 [00:07<00:00, 4.03it/s] 90%|█████████ | 27/30 [00:07<00:00, 4.01it/s] 93%|█████████▎| 28/30 [00:07<00:00, 4.02it/s] 97%|█████████▋| 29/30 [00:07<00:00, 4.02it/s] 100%|██████████| 30/30 [00:08<00:00, 4.04it/s] 100%|██████████| 30/30 [00:08<00:00, 3.71it/s] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.0s Finished.