Eldritch Impressionism with Zaxious SDXL
Input
prompt
Specify things to see in the output
a impressionist painting of poor hopeless beggar father and daughter embrace, medieval times, raw brush, dark colors, <lora:EldritchImpressionismXL1.5:1>
negative_prompt
Specify things to not see in the output
fire, underdetailed, blur, blurry, worst quality, low quality, normal quality, blurry, watermark, particles, debris, out of frame, monochrome, negativeXL_D
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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
1.5
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.
0
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++ 3M SDE
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
3.5
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>
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/ddf0cba289234e019d8310f1f9d7223d/00000-0.webp
https://files.tungsten.run/uploads/eccd042e63074a8fb7ddf662bafc352d/00001-1.webp
https://files.tungsten.run/uploads/8b2b316da638458193d631d8c9e0b1b3/00002-2.webp
Finished in 138.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: a impressionist painting of poor hopeless beggar father and daughter embrace, medieval times, raw brush, dark colors, <lora:EldritchImpressionismXL1.5:1>, <lora:add-detail-xl:1.5> Full negative prompt: fire, underdetailed, blur, blurry, worst quality, low quality, normal quality, blurry, watermark, particles, debris, out of frame, monochrome, negativeXL_D 0%| | 0/30 [00:00<?, ?it/s] 3%|β–Ž | 1/30 [00:03<01:29, 3.10s/it] 7%|β–‹ | 2/30 [00:05<01:10, 2.51s/it] 10%|β–ˆ | 3/30 [00:07<01:03, 2.35s/it] 13%|β–ˆβ–Ž | 4/30 [00:09<00:57, 2.22s/it] 17%|β–ˆβ–‹ | 5/30 [00:11<00:54, 2.17s/it] 20%|β–ˆβ–ˆ | 6/30 [00:13<00:51, 2.15s/it] 23%|β–ˆβ–ˆβ–Ž | 7/30 [00:15<00:48, 2.12s/it] 27%|β–ˆβ–ˆβ–‹ | 8/30 [00:17<00:45, 2.09s/it] 30%|β–ˆβ–ˆβ–ˆ | 9/30 [00:19<00:44, 2.11s/it] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [00:21<00:40, 2.05s/it] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [00:23<00:39, 2.06s/it] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [00:25<00:37, 2.06s/it] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [00:27<00:34, 2.03s/it] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [00:30<00:33, 2.08s/it] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [00:32<00:30, 2.07s/it] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [00:34<00:28, 2.05s/it] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [00:36<00:26, 2.03s/it] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [00:37<00:23, 1.98s/it] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [00:39<00:21, 2.00s/it] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [00:41<00:19, 1.97s/it] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [00:44<00:18, 2.02s/it] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [00:45<00:15, 1.99s/it] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [00:47<00:13, 1.97s/it] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [00:49<00:11, 1.98s/it] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [00:51<00:09, 1.99s/it] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [00:53<00:07, 1.94s/it] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [00:55<00:05, 1.93s/it] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [00:57<00:03, 1.93s/it] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [00:58<00:01, 1.72s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [00:59<00:00, 1.49s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [00:59<00:00, 1.99s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 480x640 2 faces, 165.0ms Speed: 2.7ms preprocess, 165.0ms inference, 21.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:11, 1.17it/s] 14%|β–ˆβ– | 2/14 [00:01<00:08, 1.39it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.39it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.44it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.43it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.44it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.46it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.46it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.46it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.51it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.51it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.52it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.70it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.96it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:09, 1.41it/s] 14%|β–ˆβ– | 2/14 [00:01<00:08, 1.48it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.46it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.47it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.44it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.46it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.47it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.47it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.46it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.49it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.51it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.52it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.70it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.95it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 2 faces, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:08, 1.45it/s] 14%|β–ˆβ– | 2/14 [00:01<00:07, 1.53it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.50it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.48it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.46it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.48it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.48it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.48it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.47it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.52it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.52it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:07<00:01, 1.54it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.71it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.97it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:09, 1.37it/s] 14%|β–ˆβ– | 2/14 [00:01<00:08, 1.46it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.44it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.47it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.41it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.42it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.47it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.47it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.46it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.50it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.51it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.53it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.72it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.98it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 2 faces, 8.9ms Speed: 2.4ms preprocess, 8.9ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:09, 1.38it/s] 14%|β–ˆβ– | 2/14 [00:01<00:07, 1.51it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.47it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.49it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.48it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.52it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.53it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:03, 1.52it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:05<00:03, 1.51it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.52it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:02, 1.36it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.32it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.39it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:09<00:00, 1.52it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:09<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:12, 1.03it/s] 14%|β–ˆβ– | 2/14 [00:01<00:11, 1.08it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:10, 1.04it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:03<00:09, 1.04it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:04<00:08, 1.00it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:05<00:07, 1.11it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:06<00:05, 1.20it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:06<00:04, 1.27it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:07<00:03, 1.34it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:08<00:02, 1.41it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:08<00:02, 1.44it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:09<00:01, 1.47it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:10<00:00, 1.64it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:10<00:00, 1.88it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:10<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
a impressionist painting of poor hopeless beggar father and daughter embrace, medieval times, raw brush, dark colors, <lora:EldritchImpressionismXL1.5:1>
negative_prompt
Specify things to not see in the output
fire, underdetailed, blur, blurry, worst quality, low quality, normal quality, blurry, watermark, particles, debris, out of frame, monochrome, negativeXL_D
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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
1.5
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.
0
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++ 3M SDE
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
3.5
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>
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/ddf0cba289234e019d8310f1f9d7223d/00000-0.webp
https://files.tungsten.run/uploads/eccd042e63074a8fb7ddf662bafc352d/00001-1.webp
https://files.tungsten.run/uploads/8b2b316da638458193d631d8c9e0b1b3/00002-2.webp
Finished in 138.5 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: a impressionist painting of poor hopeless beggar father and daughter embrace, medieval times, raw brush, dark colors, <lora:EldritchImpressionismXL1.5:1>, <lora:add-detail-xl:1.5> Full negative prompt: fire, underdetailed, blur, blurry, worst quality, low quality, normal quality, blurry, watermark, particles, debris, out of frame, monochrome, negativeXL_D 0%| | 0/30 [00:00<?, ?it/s] 3%|β–Ž | 1/30 [00:03<01:29, 3.10s/it] 7%|β–‹ | 2/30 [00:05<01:10, 2.51s/it] 10%|β–ˆ | 3/30 [00:07<01:03, 2.35s/it] 13%|β–ˆβ–Ž | 4/30 [00:09<00:57, 2.22s/it] 17%|β–ˆβ–‹ | 5/30 [00:11<00:54, 2.17s/it] 20%|β–ˆβ–ˆ | 6/30 [00:13<00:51, 2.15s/it] 23%|β–ˆβ–ˆβ–Ž | 7/30 [00:15<00:48, 2.12s/it] 27%|β–ˆβ–ˆβ–‹ | 8/30 [00:17<00:45, 2.09s/it] 30%|β–ˆβ–ˆβ–ˆ | 9/30 [00:19<00:44, 2.11s/it] 33%|β–ˆβ–ˆβ–ˆβ–Ž | 10/30 [00:21<00:40, 2.05s/it] 37%|β–ˆβ–ˆβ–ˆβ–‹ | 11/30 [00:23<00:39, 2.06s/it] 40%|β–ˆβ–ˆβ–ˆβ–ˆ | 12/30 [00:25<00:37, 2.06s/it] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 13/30 [00:27<00:34, 2.03s/it] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 14/30 [00:30<00:33, 2.08s/it] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 15/30 [00:32<00:30, 2.07s/it] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 16/30 [00:34<00:28, 2.05s/it] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 17/30 [00:36<00:26, 2.03s/it] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 18/30 [00:37<00:23, 1.98s/it] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 19/30 [00:39<00:21, 2.00s/it] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 20/30 [00:41<00:19, 1.97s/it] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 21/30 [00:44<00:18, 2.02s/it] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 22/30 [00:45<00:15, 1.99s/it] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 23/30 [00:47<00:13, 1.97s/it] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 24/30 [00:49<00:11, 1.98s/it] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 25/30 [00:51<00:09, 1.99s/it] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 26/30 [00:53<00:07, 1.94s/it] 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 27/30 [00:55<00:05, 1.93s/it] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 28/30 [00:57<00:03, 1.93s/it] 97%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 29/30 [00:58<00:01, 1.72s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [00:59<00:00, 1.49s/it] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 30/30 [00:59<00:00, 1.99s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 480x640 2 faces, 165.0ms Speed: 2.7ms preprocess, 165.0ms inference, 21.2ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:11, 1.17it/s] 14%|β–ˆβ– | 2/14 [00:01<00:08, 1.39it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.39it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.44it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.43it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.44it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.46it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.46it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.46it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.51it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.51it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.52it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.70it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.96it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.56it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:09, 1.41it/s] 14%|β–ˆβ– | 2/14 [00:01<00:08, 1.48it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.46it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.47it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.44it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.46it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.47it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.47it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.46it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.49it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.51it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.52it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.70it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.95it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 2 faces, 8.5ms Speed: 2.4ms preprocess, 8.5ms inference, 1.6ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:08, 1.45it/s] 14%|β–ˆβ– | 2/14 [00:01<00:07, 1.53it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.50it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.48it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.46it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.48it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.48it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.48it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.47it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.52it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.52it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:07<00:01, 1.54it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.71it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.97it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:09, 1.37it/s] 14%|β–ˆβ– | 2/14 [00:01<00:08, 1.46it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.44it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.47it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.41it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.42it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.47it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:04, 1.47it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:06<00:03, 1.46it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.50it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:01, 1.51it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.53it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.72it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.98it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:08<00:00, 1.58it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 480x640 2 faces, 8.9ms Speed: 2.4ms preprocess, 8.9ms inference, 1.5ms postprocess per image at shape (1, 3, 480, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:09, 1.38it/s] 14%|β–ˆβ– | 2/14 [00:01<00:07, 1.51it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:07, 1.47it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:02<00:06, 1.49it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:03<00:06, 1.48it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:04<00:05, 1.52it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:04<00:04, 1.53it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:05<00:03, 1.52it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:05<00:03, 1.51it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:06<00:02, 1.52it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:07<00:02, 1.36it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:08<00:01, 1.32it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:08<00:00, 1.39it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:09<00:00, 1.52it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:09<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/14 [00:00<?, ?it/s] 7%|β–‹ | 1/14 [00:00<00:12, 1.03it/s] 14%|β–ˆβ– | 2/14 [00:01<00:11, 1.08it/s] 21%|β–ˆβ–ˆβ– | 3/14 [00:02<00:10, 1.04it/s] 29%|β–ˆβ–ˆβ–Š | 4/14 [00:03<00:09, 1.04it/s] 36%|β–ˆβ–ˆβ–ˆβ–Œ | 5/14 [00:04<00:08, 1.00it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 6/14 [00:05<00:07, 1.11it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 7/14 [00:06<00:05, 1.20it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 8/14 [00:06<00:04, 1.27it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 9/14 [00:07<00:03, 1.34it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 10/14 [00:08<00:02, 1.41it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 11/14 [00:08<00:02, 1.44it/s] 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 12/14 [00:09<00:01, 1.47it/s] 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 13/14 [00:10<00:00, 1.64it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:10<00:00, 1.88it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 14/14 [00:10<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading outputs... Finished.