Steampunk citizen
Input
prompt
Input prompt
Portrait photo of steampunk warrior, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by Greg Rutkowski, soft lighting, vibrant colors, (masterpiece), ((streets)), (detailed face:1.2)
negative_prompt
Specify things to not see in the output
(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)
image_dimensions
Pixel dimensions of output image (width x height)
896x1152
num_outputs
Number of output images
2
seed
Random seed. Set as -1 to randomize the seed
-1
sampler
Sampler type
DPM++ 2M 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
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/e43e585011d64037aa1da61b2e30982c/tmpqjh_w7e_.png
https://files.tungsten.run/uploads/6e6e61a2fa0f4b4c997696deffccfe76/tmpmhxdgde6.png
Finished in 77.8 seconds
v4-base-v1.3: Pulling from jacksonmann/juggernaut-xl Setting up the model... Processing... Using seed 2041394757 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:55, 3.98s/it] 7%|▋ | 2/30 [00:05<01:10, 2.53s/it] 10%|█ | 3/30 [00:07<00:55, 2.07s/it] 13%|█▎ | 4/30 [00:08<00:48, 1.85s/it] 17%|█▋ | 5/30 [00:10<00:43, 1.73s/it] 20%|██ | 6/30 [00:11<00:39, 1.66s/it] 23%|██▎ | 7/30 [00:13<00:37, 1.62s/it] 27%|██▋ | 8/30 [00:14<00:35, 1.59s/it] 30%|███ | 9/30 [00:16<00:33, 1.58s/it] 33%|███▎ | 10/30 [00:17<00:31, 1.56s/it] 37%|███▋ | 11/30 [00:19<00:29, 1.56s/it] 40%|████ | 12/30 [00:20<00:28, 1.56s/it] 43%|████▎ | 13/30 [00:22<00:26, 1.55s/it] 47%|████▋ | 14/30 [00:23<00:24, 1.55s/it] 50%|█████ | 15/30 [00:25<00:23, 1.55s/it] 53%|█████▎ | 16/30 [00:27<00:21, 1.55s/it] 57%|█████▋ | 17/30 [00:28<00:20, 1.54s/it] 60%|██████ | 18/30 [00:30<00:18, 1.54s/it] 63%|██████▎ | 19/30 [00:31<00:16, 1.54s/it] 67%|██████▋ | 20/30 [00:33<00:15, 1.54s/it] 70%|███████ | 21/30 [00:34<00:13, 1.54s/it] 73%|███████▎ | 22/30 [00:36<00:12, 1.54s/it] 77%|███████▋ | 23/30 [00:37<00:10, 1.55s/it] 80%|████████ | 24/30 [00:39<00:09, 1.55s/it] 83%|████████▎ | 25/30 [00:40<00:07, 1.55s/it] 87%|████████▋ | 26/30 [00:42<00:06, 1.55s/it] 90%|█████████ | 27/30 [00:43<00:04, 1.55s/it] 93%|█████████▎| 28/30 [00:45<00:03, 1.55s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.55s/it] 100%|██████████| 30/30 [00:48<00:00, 1.56s/it] 100%|██████████| 30/30 [00:48<00:00, 1.62s/it] Decoding latents in cuda:0... done in 27.54s Move latents to cpu... done in 0.0s Finished.