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Cute Steampunk Girls with AstrAnime
astranime:v5.0
evevalentine2017
evevalentine2017
·
Jan 5
366
Input
prompt
Specify things to see in the output
1girl, solo, freckles, ((cowboy shot:1.3)), (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, realistic, intricate details, highres), 3d, cg, bbw, shiny skin, (laughing:1.4), blush, eyeliner, eyeshadow, eyelashes, (cinematic lighting, sunlight, volumetric), steampunk_costume, corset, hat, steampunk airship background, <lora:edgSteampunk:0.9>
negative_prompt
Specify things to not see in the output
((nipples:2)), (nude), (nsfw), (portrait), (focus on face), (more than 2 legs), (more than 2 arms), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, badhandv4, ((extra limbs)), ((extra legs)), ((fused legs)), ((extra arms)), ((fused arms)), normal quality, ((monochrome)), ((grayscale)), ((watermark)), uneven eyes, lazy eye,bad-hands-5, (((mutated hand))), multiple navel, (negative_hand-neg)
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0.2
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2582153139
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
edgSteampunk.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/30b55dc5eec2425f9b3a56e42f6375a0/00000-2582153139.webp
https://files.tungsten.run/uploads/580f343c3eac44bdaba39b39095c3043/00001-2582153140.webp
https://files.tungsten.run/uploads/4a0029b7a2ca40a583af77856a1d0c6f/00002-2582153141.webp
https://files.tungsten.run/uploads/c68529101c904de0a20022efee78f89a/00003-2582153142.webp
Finished in 74.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: 1girl, solo, freckles, ((cowboy shot:1.3)), (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, realistic, intricate details, highres), 3d, cg, bbw, shiny skin, (laughing:1.4), blush, eyeliner, eyeshadow, eyelashes, (cinematic lighting, sunlight, volumetric), steampunk_costume, corset, hat, steampunk airship background, <lora:edgSteampunk:0.9>, <lora:add_detail:0.2>, <lora:add_saturation:-0.3> Full negative prompt: ((nipples:2)), (nude), (nsfw), (portrait), (focus on face), (more than 2 legs), (more than 2 arms), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, badhandv4, ((extra limbs)), ((extra legs)), ((fused legs)), ((extra arms)), ((fused arms)), normal quality, ((monochrome)), ((grayscale)), ((watermark)), uneven eyes, lazy eye,bad-hands-5, (((mutated hand))), multiple navel, (negative_hand-neg) 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:44, 1.30s/it] 6%|▌ | 2/35 [00:01<00:29, 1.11it/s] 9%|▊ | 3/35 [00:02<00:24, 1.29it/s] 11%|█▏ | 4/35 [00:03<00:22, 1.39it/s] 14%|█▍ | 5/35 [00:03<00:20, 1.45it/s] 17%|█▋ | 6/35 [00:04<00:19, 1.50it/s] 20%|██ | 7/35 [00:05<00:18, 1.52it/s] 23%|██▎ | 8/35 [00:05<00:17, 1.54it/s] 26%|██▌ | 9/35 [00:06<00:16, 1.55it/s] 29%|██▊ | 10/35 [00:06<00:16, 1.56it/s] 31%|███▏ | 11/35 [00:07<00:15, 1.57it/s] 34%|███▍ | 12/35 [00:08<00:14, 1.57it/s] 37%|███▋ | 13/35 [00:08<00:14, 1.57it/s] 40%|████ | 14/35 [00:09<00:13, 1.57it/s] 43%|████▎ | 15/35 [00:10<00:12, 1.58it/s] 46%|████▌ | 16/35 [00:10<00:12, 1.57it/s] 49%|████▊ | 17/35 [00:11<00:11, 1.57it/s] 51%|█████▏ | 18/35 [00:12<00:10, 1.57it/s] 54%|█████▍ | 19/35 [00:12<00:10, 1.57it/s] 57%|█████▋ | 20/35 [00:13<00:09, 1.58it/s] 60%|██████ | 21/35 [00:13<00:08, 1.57it/s] 63%|██████▎ | 22/35 [00:14<00:08, 1.57it/s] 66%|██████▌ | 23/35 [00:15<00:07, 1.57it/s] 69%|██████▊ | 24/35 [00:15<00:07, 1.57it/s] 71%|███████▏ | 25/35 [00:16<00:06, 1.57it/s] 74%|███████▍ | 26/35 [00:17<00:05, 1.56it/s] 77%|███████▋ | 27/35 [00:17<00:05, 1.56it/s] 80%|████████ | 28/35 [00:18<00:04, 1.56it/s] 83%|████████▎ | 29/35 [00:19<00:03, 1.56it/s] 86%|████████▌ | 30/35 [00:19<00:03, 1.56it/s] 89%|████████▊ | 31/35 [00:20<00:02, 1.56it/s] 91%|█████████▏| 32/35 [00:20<00:01, 1.56it/s] 94%|█████████▍| 33/35 [00:21<00:01, 1.56it/s] 97%|█████████▋| 34/35 [00:22<00:00, 1.56it/s] 100%|██████████| 35/35 [00:22<00:00, 1.56it/s] 100%|██████████| 35/35 [00:22<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.55it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.52it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.04it/s] 31%|███ | 4/13 [00:01<00:02, 4.37it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.54it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.67it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.75it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.83it/s] 69%|██████▉ | 9/13 [00:02<00:00, 4.89it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.94it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.96it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.95it/s] 100%|██████████| 13/13 [00:02<00:00, 4.62it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.94it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.95it/s] 31%|███ | 4/13 [00:00<00:01, 4.89it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.92it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.95it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.90it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.88it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.92it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.92it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.86it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.88it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.93it/s] 31%|███ | 4/13 [00:00<00:01, 4.90it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.94it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.94it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.95it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.96it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.90it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.92it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.94it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.05it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.99it/s] 23%|██▎ | 3/13 [00:00<00:02, 5.00it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.89it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.92it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.91it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.94it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.96it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.95it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.98it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 5.00it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.91it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.84it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.92it/s] 31%|███ | 4/13 [00:00<00:01, 4.94it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.88it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.92it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.95it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.96it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.97it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.89it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.89it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.92it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.00it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.01it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.96it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.92it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.95it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.98it/s] 62%|██████▏ | 8/13 [00:01<00:00, 5.00it/s] 69%|██████▉ | 9/13 [00:01<00:00, 5.02it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.95it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.96it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.80it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.91it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.94it/s] 31%|███ | 4/13 [00:00<00:01, 4.95it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.97it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.84it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.90it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.91it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.89it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.79it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.73it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.74it/s] 100%|██████████| 13/13 [00:02<00:00, 4.74it/s] 100%|██████████| 13/13 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.97it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.96it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.96it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.96it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.95it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.94it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.94it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.90it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.85it/s] 100%|██████████| 13/13 [00:02<00:00, 4.84it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.03it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.42it/s] 31%|███ | 4/13 [00:00<00:01, 4.66it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.80it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.88it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.89it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.94it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.97it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.98it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.97it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.93it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.96it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.99it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.98it/s] 31%|███ | 4/13 [00:00<00:01, 4.89it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.93it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.96it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.98it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.99it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.97it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.98it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.98it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.97it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.00it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.98it/s] 31%|███ | 4/13 [00:00<00:01, 4.91it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.93it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.97it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.98it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.98it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.95it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.98it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.90it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.88it/s] 100%|██████████| 13/13 [00:02<00:00, 4.90it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
1girl, solo, freckles, ((cowboy shot:1.3)), (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, realistic, intricate details, highres), 3d, cg, bbw, shiny skin, (laughing:1.4), blush, eyeliner, eyeshadow, eyelashes, (cinematic lighting, sunlight, volumetric), steampunk_costume, corset, hat, steampunk airship background, <lora:edgSteampunk:0.9>
negative_prompt
Specify things to not see in the output
((nipples:2)), (nude), (nsfw), (portrait), (focus on face), (more than 2 legs), (more than 2 arms), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, badhandv4, ((extra limbs)), ((extra legs)), ((fused legs)), ((extra arms)), ((fused arms)), normal quality, ((monochrome)), ((grayscale)), ((watermark)), uneven eyes, lazy eye,bad-hands-5, (((mutated hand))), multiple navel, (negative_hand-neg)
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.35
detail
Enhance/diminish detail while keeping the overall style/character
0.2
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2582153139
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M Karras
samping_steps
Number of denoising steps
35
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
edgSteampunk.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negative_hand-neg.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/30b55dc5eec2425f9b3a56e42f6375a0/00000-2582153139.webp
https://files.tungsten.run/uploads/580f343c3eac44bdaba39b39095c3043/00001-2582153140.webp
https://files.tungsten.run/uploads/4a0029b7a2ca40a583af77856a1d0c6f/00002-2582153141.webp
https://files.tungsten.run/uploads/c68529101c904de0a20022efee78f89a/00003-2582153142.webp
Finished in 74.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: 1girl, solo, freckles, ((cowboy shot:1.3)), (masterpiece, best quality, hires, high resolution:1.2), (extremely detailed, realistic, intricate details, highres), 3d, cg, bbw, shiny skin, (laughing:1.4), blush, eyeliner, eyeshadow, eyelashes, (cinematic lighting, sunlight, volumetric), steampunk_costume, corset, hat, steampunk airship background, <lora:edgSteampunk:0.9>, <lora:add_detail:0.2>, <lora:add_saturation:-0.3> Full negative prompt: ((nipples:2)), (nude), (nsfw), (portrait), (focus on face), (more than 2 legs), (more than 2 arms), easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, badhandv4, ((extra limbs)), ((extra legs)), ((fused legs)), ((extra arms)), ((fused arms)), normal quality, ((monochrome)), ((grayscale)), ((watermark)), uneven eyes, lazy eye,bad-hands-5, (((mutated hand))), multiple navel, (negative_hand-neg) 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:44, 1.30s/it] 6%|▌ | 2/35 [00:01<00:29, 1.11it/s] 9%|▊ | 3/35 [00:02<00:24, 1.29it/s] 11%|█▏ | 4/35 [00:03<00:22, 1.39it/s] 14%|█▍ | 5/35 [00:03<00:20, 1.45it/s] 17%|█▋ | 6/35 [00:04<00:19, 1.50it/s] 20%|██ | 7/35 [00:05<00:18, 1.52it/s] 23%|██▎ | 8/35 [00:05<00:17, 1.54it/s] 26%|██▌ | 9/35 [00:06<00:16, 1.55it/s] 29%|██▊ | 10/35 [00:06<00:16, 1.56it/s] 31%|███▏ | 11/35 [00:07<00:15, 1.57it/s] 34%|███▍ | 12/35 [00:08<00:14, 1.57it/s] 37%|███▋ | 13/35 [00:08<00:14, 1.57it/s] 40%|████ | 14/35 [00:09<00:13, 1.57it/s] 43%|████▎ | 15/35 [00:10<00:12, 1.58it/s] 46%|████▌ | 16/35 [00:10<00:12, 1.57it/s] 49%|████▊ | 17/35 [00:11<00:11, 1.57it/s] 51%|█████▏ | 18/35 [00:12<00:10, 1.57it/s] 54%|█████▍ | 19/35 [00:12<00:10, 1.57it/s] 57%|█████▋ | 20/35 [00:13<00:09, 1.58it/s] 60%|██████ | 21/35 [00:13<00:08, 1.57it/s] 63%|██████▎ | 22/35 [00:14<00:08, 1.57it/s] 66%|██████▌ | 23/35 [00:15<00:07, 1.57it/s] 69%|██████▊ | 24/35 [00:15<00:07, 1.57it/s] 71%|███████▏ | 25/35 [00:16<00:06, 1.57it/s] 74%|███████▍ | 26/35 [00:17<00:05, 1.56it/s] 77%|███████▋ | 27/35 [00:17<00:05, 1.56it/s] 80%|████████ | 28/35 [00:18<00:04, 1.56it/s] 83%|████████▎ | 29/35 [00:19<00:03, 1.56it/s] 86%|████████▌ | 30/35 [00:19<00:03, 1.56it/s] 89%|████████▊ | 31/35 [00:20<00:02, 1.56it/s] 91%|█████████▏| 32/35 [00:20<00:01, 1.56it/s] 94%|█████████▍| 33/35 [00:21<00:01, 1.56it/s] 97%|█████████▋| 34/35 [00:22<00:00, 1.56it/s] 100%|██████████| 35/35 [00:22<00:00, 1.56it/s] 100%|██████████| 35/35 [00:22<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 33.1ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.55it/s] 15%|█▌ | 2/13 [00:00<00:03, 3.52it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.04it/s] 31%|███ | 4/13 [00:01<00:02, 4.37it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.54it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.67it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.75it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.83it/s] 69%|██████▉ | 9/13 [00:02<00:00, 4.89it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.94it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.96it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.95it/s] 100%|██████████| 13/13 [00:02<00:00, 4.62it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 2 hands, 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.94it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.95it/s] 31%|███ | 4/13 [00:00<00:01, 4.89it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.92it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.95it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.90it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.88it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.92it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.92it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.86it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.88it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.93it/s] 31%|███ | 4/13 [00:00<00:01, 4.90it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.94it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.94it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.95it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.96it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.90it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.92it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.94it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.05it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.99it/s] 23%|██▎ | 3/13 [00:00<00:02, 5.00it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.89it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.92it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.91it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.94it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.96it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.95it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.98it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 5.00it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.91it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.84it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.92it/s] 31%|███ | 4/13 [00:00<00:01, 4.94it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.88it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.92it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.95it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.96it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.97it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.89it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.89it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.92it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.00it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.01it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.96it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.92it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.95it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.98it/s] 62%|██████▏ | 8/13 [00:01<00:00, 5.00it/s] 69%|██████▉ | 9/13 [00:01<00:00, 5.02it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.95it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.96it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.96it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.96it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.80it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.91it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.94it/s] 31%|███ | 4/13 [00:00<00:01, 4.95it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.97it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.84it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.90it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.91it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.89it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.79it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.73it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.74it/s] 100%|██████████| 13/13 [00:02<00:00, 4.74it/s] 100%|██████████| 13/13 [00:02<00:00, 4.83it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.97it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.96it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.97it/s] 31%|███ | 4/13 [00:00<00:01, 4.97it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.96it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.96it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.96it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.95it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.94it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.94it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.90it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.85it/s] 100%|██████████| 13/13 [00:02<00:00, 4.84it/s] 100%|██████████| 13/13 [00:02<00:00, 4.91it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 5.03it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.93it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.42it/s] 31%|███ | 4/13 [00:00<00:01, 4.66it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.80it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.88it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.89it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.94it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.97it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.98it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.97it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.93it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] 100%|██████████| 13/13 [00:02<00:00, 4.89it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.96it/s] 15%|█▌ | 2/13 [00:00<00:02, 4.99it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.98it/s] 31%|███ | 4/13 [00:00<00:01, 4.89it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.93it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.96it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.98it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.99it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.99it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.97it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.98it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.99it/s] 100%|██████████| 13/13 [00:02<00:00, 4.98it/s] 100%|██████████| 13/13 [00:02<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:02, 4.97it/s] 15%|█▌ | 2/13 [00:00<00:02, 5.00it/s] 23%|██▎ | 3/13 [00:00<00:02, 4.98it/s] 31%|███ | 4/13 [00:00<00:01, 4.91it/s] 38%|███▊ | 5/13 [00:01<00:01, 4.93it/s] 46%|████▌ | 6/13 [00:01<00:01, 4.97it/s] 54%|█████▍ | 7/13 [00:01<00:01, 4.98it/s] 62%|██████▏ | 8/13 [00:01<00:01, 4.98it/s] 69%|██████▉ | 9/13 [00:01<00:00, 4.95it/s] 77%|███████▋ | 10/13 [00:02<00:00, 4.98it/s] 85%|████████▍ | 11/13 [00:02<00:00, 4.90it/s] 92%|█████████▏| 12/13 [00:02<00:00, 4.88it/s] 100%|██████████| 13/13 [00:02<00:00, 4.90it/s] 100%|██████████| 13/13 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s Uploading outputs... Finished.