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Sexy Sci-fi Suits with Canvas Dark SDXL
canvas-dark-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 29
338
Input
prompt
Specify things to see in the output
[green theme], [monochrome], light blue theme, masterpiece, best quality, cowboy shot, solo, 1girl, android-chan, looking at viewer, green dress, green thighhighs, elbow gloves, tail, glossy clothes, oil, pout,
negative_prompt
Specify things to not see in the output
worst quality, (low quality, normal quality:1.3), (oversaturated):1
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2176968101
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
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/6f3cb86846e44925a2a00d37384ce9eb/00000-2176968101.webp
https://files.tungsten.run/uploads/2e03f0c5947743ff8457e64cc8762944/00001-2176968102.webp
https://files.tungsten.run/uploads/7c1b3e0fb1cb4e198069b92d277c3048/00002-2176968103.webp
Finished in 57.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: [green theme], [monochrome], light blue theme, masterpiece, best quality, cowboy shot, solo, 1girl, android-chan, looking at viewer, green dress, green thighhighs, elbow gloves, tail, glossy clothes, oil, pout, Full negative prompt: worst quality, (low quality, normal quality:1.3), (oversaturated):1 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:31, 1.06it/s] 6%|▌ | 2/35 [00:01<00:31, 1.06it/s] 9%|▊ | 3/35 [00:02<00:30, 1.06it/s] 11%|█▏ | 4/35 [00:03<00:29, 1.06it/s] 14%|█▍ | 5/35 [00:04<00:28, 1.06it/s] 17%|█▋ | 6/35 [00:05<00:27, 1.06it/s] 20%|██ | 7/35 [00:06<00:26, 1.05it/s] 23%|██▎ | 8/35 [00:07<00:25, 1.06it/s] 26%|██▌ | 9/35 [00:08<00:24, 1.05it/s] 29%|██▊ | 10/35 [00:09<00:23, 1.05it/s] 31%|███▏ | 11/35 [00:10<00:22, 1.05it/s] 34%|███▍ | 12/35 [00:11<00:21, 1.05it/s] 37%|███▋ | 13/35 [00:12<00:20, 1.05it/s] 40%|████ | 14/35 [00:13<00:19, 1.05it/s] 43%|████▎ | 15/35 [00:14<00:18, 1.05it/s] 46%|████▌ | 16/35 [00:15<00:18, 1.05it/s] 49%|████▊ | 17/35 [00:16<00:17, 1.05it/s] 51%|█████▏ | 18/35 [00:17<00:16, 1.05it/s] 54%|█████▍ | 19/35 [00:18<00:15, 1.05it/s] 57%|█████▋ | 20/35 [00:18<00:14, 1.05it/s] 60%|██████ | 21/35 [00:19<00:13, 1.05it/s] 63%|██████▎ | 22/35 [00:20<00:12, 1.05it/s] 66%|██████▌ | 23/35 [00:21<00:11, 1.05it/s] 69%|██████▊ | 24/35 [00:22<00:10, 1.05it/s] 71%|███████▏ | 25/35 [00:23<00:09, 1.04it/s] 74%|███████▍ | 26/35 [00:24<00:08, 1.04it/s] 77%|███████▋ | 27/35 [00:25<00:07, 1.03it/s] 80%|████████ | 28/35 [00:26<00:06, 1.03it/s] 83%|████████▎ | 29/35 [00:27<00:05, 1.03it/s] 86%|████████▌ | 30/35 [00:28<00:04, 1.02it/s] 89%|████████▊ | 31/35 [00:29<00:03, 1.02it/s] 91%|█████████▏| 32/35 [00:30<00:02, 1.02it/s] 94%|█████████▍| 33/35 [00:31<00:01, 1.02it/s] 97%|█████████▋| 34/35 [00:32<00:00, 1.02it/s] 100%|██████████| 35/35 [00:33<00:00, 1.02it/s] 100%|██████████| 35/35 [00:33<00:00, 1.04it/s] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.01s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.32it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.71it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.87it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.91it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.92it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.94it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.99it/s] 50%|█████ | 8/16 [00:02<00:02, 2.97it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.99it/s] 62%|██████▎ | 10/16 [00:03<00:01, 3.00it/s] 69%|██████▉ | 11/16 [00:03<00:01, 2.99it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.99it/s] 81%|████████▏ | 13/16 [00:04<00:01, 3.00it/s] 88%|████████▊ | 14/16 [00:04<00:00, 3.02it/s] 94%|█████████▍| 15/16 [00:05<00:00, 3.03it/s] 100%|██████████| 16/16 [00:05<00:00, 3.01it/s] 100%|██████████| 16/16 [00:05<00:00, 2.96it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.04it/s] 12%|█▎ | 2/16 [00:00<00:04, 3.05it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.97it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.96it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.98it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.94it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.95it/s] 50%|█████ | 8/16 [00:02<00:02, 2.98it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.98it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.99it/s] 69%|██████▉ | 11/16 [00:03<00:01, 3.01it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.99it/s] 81%|████████▏ | 13/16 [00:04<00:00, 3.01it/s] 88%|████████▊ | 14/16 [00:04<00:00, 3.02it/s] 94%|█████████▍| 15/16 [00:05<00:00, 3.00it/s] 100%|██████████| 16/16 [00:05<00:00, 3.00it/s] 100%|██████████| 16/16 [00:05<00:00, 2.99it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.03it/s] 12%|█▎ | 2/16 [00:00<00:04, 3.04it/s] 19%|█▉ | 3/16 [00:00<00:04, 2.99it/s] 25%|██▌ | 4/16 [00:01<00:03, 3.01it/s] 31%|███▏ | 5/16 [00:01<00:03, 3.02it/s] 38%|███▊ | 6/16 [00:01<00:03, 3.03it/s] 44%|████▍ | 7/16 [00:02<00:02, 3.04it/s] 50%|█████ | 8/16 [00:02<00:02, 3.04it/s] 56%|█████▋ | 9/16 [00:02<00:02, 3.04it/s] 62%|██████▎ | 10/16 [00:03<00:01, 3.02it/s] 69%|██████▉ | 11/16 [00:03<00:01, 3.01it/s] 75%|███████▌ | 12/16 [00:03<00:01, 2.99it/s] 81%|████████▏ | 13/16 [00:04<00:00, 3.00it/s] 88%|████████▊ | 14/16 [00:04<00:00, 3.03it/s] 94%|█████████▍| 15/16 [00:04<00:00, 3.03it/s] 100%|██████████| 16/16 [00:05<00:00, 3.02it/s] 100%|██████████| 16/16 [00:05<00:00, 3.02it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
[green theme], [monochrome], light blue theme, masterpiece, best quality, cowboy shot, solo, 1girl, android-chan, looking at viewer, green dress, green thighhighs, elbow gloves, tail, glossy clothes, oil, pout,
negative_prompt
Specify things to not see in the output
worst quality, (low quality, normal quality:1.3), (oversaturated):1
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2176968101
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
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
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)
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/6f3cb86846e44925a2a00d37384ce9eb/00000-2176968101.webp
https://files.tungsten.run/uploads/2e03f0c5947743ff8457e64cc8762944/00001-2176968102.webp
https://files.tungsten.run/uploads/7c1b3e0fb1cb4e198069b92d277c3048/00002-2176968103.webp
Finished in 57.3 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: [green theme], [monochrome], light blue theme, masterpiece, best quality, cowboy shot, solo, 1girl, android-chan, looking at viewer, green dress, green thighhighs, elbow gloves, tail, glossy clothes, oil, pout, Full negative prompt: worst quality, (low quality, normal quality:1.3), (oversaturated):1 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:00<00:31, 1.06it/s] 6%|▌ | 2/35 [00:01<00:31, 1.06it/s] 9%|▊ | 3/35 [00:02<00:30, 1.06it/s] 11%|█▏ | 4/35 [00:03<00:29, 1.06it/s] 14%|█▍ | 5/35 [00:04<00:28, 1.06it/s] 17%|█▋ | 6/35 [00:05<00:27, 1.06it/s] 20%|██ | 7/35 [00:06<00:26, 1.05it/s] 23%|██▎ | 8/35 [00:07<00:25, 1.06it/s] 26%|██▌ | 9/35 [00:08<00:24, 1.05it/s] 29%|██▊ | 10/35 [00:09<00:23, 1.05it/s] 31%|███▏ | 11/35 [00:10<00:22, 1.05it/s] 34%|███▍ | 12/35 [00:11<00:21, 1.05it/s] 37%|███▋ | 13/35 [00:12<00:20, 1.05it/s] 40%|████ | 14/35 [00:13<00:19, 1.05it/s] 43%|████▎ | 15/35 [00:14<00:18, 1.05it/s] 46%|████▌ | 16/35 [00:15<00:18, 1.05it/s] 49%|████▊ | 17/35 [00:16<00:17, 1.05it/s] 51%|█████▏ | 18/35 [00:17<00:16, 1.05it/s] 54%|█████▍ | 19/35 [00:18<00:15, 1.05it/s] 57%|█████▋ | 20/35 [00:18<00:14, 1.05it/s] 60%|██████ | 21/35 [00:19<00:13, 1.05it/s] 63%|██████▎ | 22/35 [00:20<00:12, 1.05it/s] 66%|██████▌ | 23/35 [00:21<00:11, 1.05it/s] 69%|██████▊ | 24/35 [00:22<00:10, 1.05it/s] 71%|███████▏ | 25/35 [00:23<00:09, 1.04it/s] 74%|███████▍ | 26/35 [00:24<00:08, 1.04it/s] 77%|███████▋ | 27/35 [00:25<00:07, 1.03it/s] 80%|████████ | 28/35 [00:26<00:06, 1.03it/s] 83%|████████▎ | 29/35 [00:27<00:05, 1.03it/s] 86%|████████▌ | 30/35 [00:28<00:04, 1.02it/s] 89%|████████▊ | 31/35 [00:29<00:03, 1.02it/s] 91%|█████████▏| 32/35 [00:30<00:02, 1.02it/s] 94%|█████████▍| 33/35 [00:31<00:01, 1.02it/s] 97%|█████████▋| 34/35 [00:32<00:00, 1.02it/s] 100%|██████████| 35/35 [00:33<00:00, 1.02it/s] 100%|██████████| 35/35 [00:33<00:00, 1.04it/s] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.01s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.32it/s] 12%|█▎ | 2/16 [00:00<00:05, 2.71it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.87it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.91it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.92it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.94it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.99it/s] 50%|█████ | 8/16 [00:02<00:02, 2.97it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.99it/s] 62%|██████▎ | 10/16 [00:03<00:01, 3.00it/s] 69%|██████▉ | 11/16 [00:03<00:01, 2.99it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.99it/s] 81%|████████▏ | 13/16 [00:04<00:01, 3.00it/s] 88%|████████▊ | 14/16 [00:04<00:00, 3.02it/s] 94%|█████████▍| 15/16 [00:05<00:00, 3.03it/s] 100%|██████████| 16/16 [00:05<00:00, 3.01it/s] 100%|██████████| 16/16 [00:05<00:00, 2.96it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.04it/s] 12%|█▎ | 2/16 [00:00<00:04, 3.05it/s] 19%|█▉ | 3/16 [00:01<00:04, 2.97it/s] 25%|██▌ | 4/16 [00:01<00:04, 2.96it/s] 31%|███▏ | 5/16 [00:01<00:03, 2.98it/s] 38%|███▊ | 6/16 [00:02<00:03, 2.94it/s] 44%|████▍ | 7/16 [00:02<00:03, 2.95it/s] 50%|█████ | 8/16 [00:02<00:02, 2.98it/s] 56%|█████▋ | 9/16 [00:03<00:02, 2.98it/s] 62%|██████▎ | 10/16 [00:03<00:02, 2.99it/s] 69%|██████▉ | 11/16 [00:03<00:01, 3.01it/s] 75%|███████▌ | 12/16 [00:04<00:01, 2.99it/s] 81%|████████▏ | 13/16 [00:04<00:00, 3.01it/s] 88%|████████▊ | 14/16 [00:04<00:00, 3.02it/s] 94%|█████████▍| 15/16 [00:05<00:00, 3.00it/s] 100%|██████████| 16/16 [00:05<00:00, 3.00it/s] 100%|██████████| 16/16 [00:05<00:00, 2.99it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:04, 3.03it/s] 12%|█▎ | 2/16 [00:00<00:04, 3.04it/s] 19%|█▉ | 3/16 [00:00<00:04, 2.99it/s] 25%|██▌ | 4/16 [00:01<00:03, 3.01it/s] 31%|███▏ | 5/16 [00:01<00:03, 3.02it/s] 38%|███▊ | 6/16 [00:01<00:03, 3.03it/s] 44%|████▍ | 7/16 [00:02<00:02, 3.04it/s] 50%|█████ | 8/16 [00:02<00:02, 3.04it/s] 56%|█████▋ | 9/16 [00:02<00:02, 3.04it/s] 62%|██████▎ | 10/16 [00:03<00:01, 3.02it/s] 69%|██████▉ | 11/16 [00:03<00:01, 3.01it/s] 75%|███████▌ | 12/16 [00:03<00:01, 2.99it/s] 81%|████████▏ | 13/16 [00:04<00:00, 3.00it/s] 88%|████████▊ | 14/16 [00:04<00:00, 3.03it/s] 94%|█████████▍| 15/16 [00:04<00:00, 3.03it/s] 100%|██████████| 16/16 [00:05<00:00, 3.02it/s] 100%|██████████| 16/16 [00:05<00:00, 3.02it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s Uploading outputs... Finished.