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Frankenstein with EpicDream Lullaby
epicdream-lullaby:v1.0
evevalentine2017
evevalentine2017
·
Jan 8
357
Input
prompt
Specify things to see in the output
((a photograph shot with a medium format camera and 100mm lens, 50 iso film)), ((black and white)), monochrome, ((subject in sharp focus)), medium depth of field, ((extreme detail, high micro-contrast)), high contrast, atmospheric, ((Willem Dafoe) as Frankenstein), (((head in hands weeping))), ((chiaroscuro)), wearing black ragged tee, <lora:epiNoiseoffset_v2:1>, <lora:Movie_Style:0.5>, <lora:Frankenstein-10:0.8>
negative_prompt
Specify things to not see in the output
((hair:2)), ((more than 2 hands:2)), ((more than 2 arms:2)), color:1.5, (((subject out of focus))), Mt. Fuji, ((camera)), ((lens))
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
0.25
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-0.3
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
688181490
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
46
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>
Movie_Style.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Frankenstein-10.safetensors
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/8941ec85f08f490e8422892af455a69f/00000-688181490.webp
https://files.tungsten.run/uploads/619ef7e170554c72ac1f512117d47070/00001-688181491.webp
https://files.tungsten.run/uploads/4b58b7751b484043a66deedd5bb5875c/00002-688181492.webp
https://files.tungsten.run/uploads/d3375fda812b44d68e342bbb1357d53b/00003-688181493.webp
Finished in 78.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: ((a photograph shot with a medium format camera and 100mm lens, 50 iso film)), ((black and white)), monochrome, ((subject in sharp focus)), medium depth of field, ((extreme detail, high micro-contrast)), high contrast, atmospheric, ((Willem Dafoe) as Frankenstein), (((head in hands weeping))), ((chiaroscuro)), wearing black ragged tee, <lora:epiNoiseoffset_v2:1>, <lora:Movie_Style:0.5>, <lora:Frankenstein-10:0.8>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-0.3>, <lora:add_saturation:1.0> Full negative prompt: ((hair:2)), ((more than 2 hands:2)), ((more than 2 arms:2)), color:1.5, (((subject out of focus))), Mt. Fuji, ((camera)), ((lens)) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:01<01:02, 1.40s/it] 4%|▍ | 2/46 [00:02<00:42, 1.04it/s] 7%|▋ | 3/46 [00:02<00:35, 1.23it/s] 9%|▊ | 4/46 [00:03<00:31, 1.33it/s] 11%|█ | 5/46 [00:04<00:29, 1.40it/s] 13%|█▎ | 6/46 [00:04<00:27, 1.44it/s] 15%|█▌ | 7/46 [00:05<00:26, 1.46it/s] 17%|█▋ | 8/46 [00:05<00:25, 1.49it/s] 20%|█▉ | 9/46 [00:06<00:24, 1.50it/s] 22%|██▏ | 10/46 [00:07<00:23, 1.51it/s] 24%|██▍ | 11/46 [00:07<00:23, 1.51it/s] 26%|██▌ | 12/46 [00:08<00:22, 1.51it/s] 28%|██▊ | 13/46 [00:09<00:21, 1.51it/s] 30%|███ | 14/46 [00:09<00:21, 1.51it/s] 33%|███▎ | 15/46 [00:10<00:20, 1.51it/s] 35%|███▍ | 16/46 [00:11<00:19, 1.51it/s] 37%|███▋ | 17/46 [00:11<00:19, 1.52it/s] 39%|███▉ | 18/46 [00:12<00:18, 1.51it/s] 41%|████▏ | 19/46 [00:13<00:17, 1.52it/s] 43%|████▎ | 20/46 [00:13<00:17, 1.52it/s] 46%|████▌ | 21/46 [00:14<00:16, 1.51it/s] 48%|████▊ | 22/46 [00:15<00:15, 1.51it/s] 50%|█████ | 23/46 [00:15<00:15, 1.50it/s] 52%|█████▏ | 24/46 [00:16<00:14, 1.50it/s] 54%|█████▍ | 25/46 [00:17<00:14, 1.50it/s] 57%|█████▋ | 26/46 [00:17<00:13, 1.50it/s] 59%|█████▊ | 27/46 [00:18<00:12, 1.50it/s] 61%|██████ | 28/46 [00:19<00:12, 1.50it/s] 63%|██████▎ | 29/46 [00:19<00:11, 1.50it/s] 65%|██████▌ | 30/46 [00:20<00:10, 1.49it/s] 67%|██████▋ | 31/46 [00:21<00:10, 1.49it/s] 70%|██████▉ | 32/46 [00:21<00:09, 1.49it/s] 72%|███████▏ | 33/46 [00:22<00:08, 1.49it/s] 74%|███████▍ | 34/46 [00:23<00:08, 1.48it/s] 76%|███████▌ | 35/46 [00:23<00:07, 1.48it/s] 78%|███████▊ | 36/46 [00:24<00:06, 1.49it/s] 80%|████████ | 37/46 [00:25<00:06, 1.49it/s] 83%|████████▎ | 38/46 [00:25<00:05, 1.49it/s] 85%|████████▍ | 39/46 [00:26<00:04, 1.49it/s] 87%|████████▋ | 40/46 [00:27<00:04, 1.49it/s] 89%|████████▉ | 41/46 [00:27<00:03, 1.49it/s] 91%|█████████▏| 42/46 [00:28<00:02, 1.49it/s] 93%|█████████▎| 43/46 [00:29<00:02, 1.49it/s] 96%|█████████▌| 44/46 [00:29<00:01, 1.49it/s] 98%|█████████▊| 45/46 [00:30<00:00, 1.49it/s] 100%|██████████| 46/46 [00:31<00:00, 1.49it/s] 100%|██████████| 46/46 [00:31<00:00, 1.47it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 36.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.54it/s] 17%|█▋ | 2/12 [00:00<00:02, 3.49it/s] 25%|██▌ | 3/12 [00:00<00:02, 4.05it/s] 33%|███▎ | 4/12 [00:01<00:01, 4.35it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.53it/s] 50%|█████ | 6/12 [00:01<00:01, 4.66it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.78it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.86it/s] 75%|███████▌ | 9/12 [00:02<00:00, 4.88it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.92it/s] 100%|██████████| 12/12 [00:02<00:00, 4.58it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 3 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.93it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.96it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.99it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.02it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.96it/s] 50%|█████ | 6/12 [00:01<00:01, 4.96it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.93it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.88it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.92it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.86it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.87it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.77it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.93it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.93it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.87it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.82it/s] 50%|█████ | 6/12 [00:01<00:01, 4.86it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.94it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.98it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.96it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.97it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.86it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.01it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.04it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.01it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.99it/s] 50%|█████ | 6/12 [00:01<00:01, 4.99it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.00it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.99it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.87it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.87it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.91it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.90it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.89it/s] 50%|█████ | 6/12 [00:01<00:01, 4.92it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.94it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.95it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.89it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.93it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.99it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.10it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.07it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.06it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.03it/s] 42%|████▏ | 5/12 [00:00<00:01, 4.96it/s] 50%|█████ | 6/12 [00:01<00:01, 4.97it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.97it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.91it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.95it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.98it/s] 92%|█████████▏| 11/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.00it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.01it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.02it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.94it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.90it/s] 50%|█████ | 6/12 [00:01<00:01, 4.87it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.91it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.94it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.93it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.96it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.99it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [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, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.98it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.95it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.98it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.95it/s] 50%|█████ | 6/12 [00:01<00:01, 4.93it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.90it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.96it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.98it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.97it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.98it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [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 hand, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.94it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.02it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.04it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.06it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.02it/s] 50%|█████ | 6/12 [00:01<00:01, 5.04it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.06it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.07it/s] 75%|███████▌ | 9/12 [00:01<00:00, 5.07it/s] 83%|████████▎ | 10/12 [00:01<00:00, 5.07it/s] 92%|█████████▏| 11/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.04it/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: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.68it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.77it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.92it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.88it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.92it/s] 50%|█████ | 6/12 [00:01<00:01, 4.95it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.84it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.90it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.94it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.98it/s] 100%|██████████| 12/12 [00:02<00:00, 4.97it/s] 100%|██████████| 12/12 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.8ms Speed: 3.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.13it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.04it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.02it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.00it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.94it/s] 50%|█████ | 6/12 [00:01<00:01, 4.93it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.01it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.99it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.98it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.99it/s] 100%|██████████| 12/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
((a photograph shot with a medium format camera and 100mm lens, 50 iso film)), ((black and white)), monochrome, ((subject in sharp focus)), medium depth of field, ((extreme detail, high micro-contrast)), high contrast, atmospheric, ((Willem Dafoe) as Frankenstein), (((head in hands weeping))), ((chiaroscuro)), wearing black ragged tee, <lora:epiNoiseoffset_v2:1>, <lora:Movie_Style:0.5>, <lora:Frankenstein-10:0.8>
negative_prompt
Specify things to not see in the output
((hair:2)), ((more than 2 hands:2)), ((more than 2 arms:2)), color:1.5, (((subject out of focus))), Mt. Fuji, ((camera)), ((lens))
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
0.25
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.5
contrast
Adjust contrast
-0.3
saturation
Adjust saturation
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
688181490
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
46
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>
Movie_Style.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
Frankenstein-10.safetensors
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/8941ec85f08f490e8422892af455a69f/00000-688181490.webp
https://files.tungsten.run/uploads/619ef7e170554c72ac1f512117d47070/00001-688181491.webp
https://files.tungsten.run/uploads/4b58b7751b484043a66deedd5bb5875c/00002-688181492.webp
https://files.tungsten.run/uploads/d3375fda812b44d68e342bbb1357d53b/00003-688181493.webp
Finished in 78.3 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: ((a photograph shot with a medium format camera and 100mm lens, 50 iso film)), ((black and white)), monochrome, ((subject in sharp focus)), medium depth of field, ((extreme detail, high micro-contrast)), high contrast, atmospheric, ((Willem Dafoe) as Frankenstein), (((head in hands weeping))), ((chiaroscuro)), wearing black ragged tee, <lora:epiNoiseoffset_v2:1>, <lora:Movie_Style:0.5>, <lora:Frankenstein-10:0.8>, <lora:add_brightness:0.5>, <lora:contrast_slider_v10:-0.3>, <lora:add_saturation:1.0> Full negative prompt: ((hair:2)), ((more than 2 hands:2)), ((more than 2 arms:2)), color:1.5, (((subject out of focus))), Mt. Fuji, ((camera)), ((lens)) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:01<01:02, 1.40s/it] 4%|▍ | 2/46 [00:02<00:42, 1.04it/s] 7%|▋ | 3/46 [00:02<00:35, 1.23it/s] 9%|▊ | 4/46 [00:03<00:31, 1.33it/s] 11%|█ | 5/46 [00:04<00:29, 1.40it/s] 13%|█▎ | 6/46 [00:04<00:27, 1.44it/s] 15%|█▌ | 7/46 [00:05<00:26, 1.46it/s] 17%|█▋ | 8/46 [00:05<00:25, 1.49it/s] 20%|█▉ | 9/46 [00:06<00:24, 1.50it/s] 22%|██▏ | 10/46 [00:07<00:23, 1.51it/s] 24%|██▍ | 11/46 [00:07<00:23, 1.51it/s] 26%|██▌ | 12/46 [00:08<00:22, 1.51it/s] 28%|██▊ | 13/46 [00:09<00:21, 1.51it/s] 30%|███ | 14/46 [00:09<00:21, 1.51it/s] 33%|███▎ | 15/46 [00:10<00:20, 1.51it/s] 35%|███▍ | 16/46 [00:11<00:19, 1.51it/s] 37%|███▋ | 17/46 [00:11<00:19, 1.52it/s] 39%|███▉ | 18/46 [00:12<00:18, 1.51it/s] 41%|████▏ | 19/46 [00:13<00:17, 1.52it/s] 43%|████▎ | 20/46 [00:13<00:17, 1.52it/s] 46%|████▌ | 21/46 [00:14<00:16, 1.51it/s] 48%|████▊ | 22/46 [00:15<00:15, 1.51it/s] 50%|█████ | 23/46 [00:15<00:15, 1.50it/s] 52%|█████▏ | 24/46 [00:16<00:14, 1.50it/s] 54%|█████▍ | 25/46 [00:17<00:14, 1.50it/s] 57%|█████▋ | 26/46 [00:17<00:13, 1.50it/s] 59%|█████▊ | 27/46 [00:18<00:12, 1.50it/s] 61%|██████ | 28/46 [00:19<00:12, 1.50it/s] 63%|██████▎ | 29/46 [00:19<00:11, 1.50it/s] 65%|██████▌ | 30/46 [00:20<00:10, 1.49it/s] 67%|██████▋ | 31/46 [00:21<00:10, 1.49it/s] 70%|██████▉ | 32/46 [00:21<00:09, 1.49it/s] 72%|███████▏ | 33/46 [00:22<00:08, 1.49it/s] 74%|███████▍ | 34/46 [00:23<00:08, 1.48it/s] 76%|███████▌ | 35/46 [00:23<00:07, 1.48it/s] 78%|███████▊ | 36/46 [00:24<00:06, 1.49it/s] 80%|████████ | 37/46 [00:25<00:06, 1.49it/s] 83%|████████▎ | 38/46 [00:25<00:05, 1.49it/s] 85%|████████▍ | 39/46 [00:26<00:04, 1.49it/s] 87%|████████▋ | 40/46 [00:27<00:04, 1.49it/s] 89%|████████▉ | 41/46 [00:27<00:03, 1.49it/s] 91%|█████████▏| 42/46 [00:28<00:02, 1.49it/s] 93%|█████████▎| 43/46 [00:29<00:02, 1.49it/s] 96%|█████████▌| 44/46 [00:29<00:01, 1.49it/s] 98%|█████████▊| 45/46 [00:30<00:00, 1.49it/s] 100%|██████████| 46/46 [00:31<00:00, 1.49it/s] 100%|██████████| 46/46 [00:31<00:00, 1.47it/s] Decoding latents in cuda:0... done in 1.01s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 36.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:04, 2.54it/s] 17%|█▋ | 2/12 [00:00<00:02, 3.49it/s] 25%|██▌ | 3/12 [00:00<00:02, 4.05it/s] 33%|███▎ | 4/12 [00:01<00:01, 4.35it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.53it/s] 50%|█████ | 6/12 [00:01<00:01, 4.66it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.78it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.86it/s] 75%|███████▌ | 9/12 [00:02<00:00, 4.88it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.92it/s] 100%|██████████| 12/12 [00:02<00:00, 4.58it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.01s 0: 640x640 3 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.9ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.93it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.96it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.99it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.02it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.96it/s] 50%|█████ | 6/12 [00:01<00:01, 4.96it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.93it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.88it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.92it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.86it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.87it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.77it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.93it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.93it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.87it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.82it/s] 50%|█████ | 6/12 [00:01<00:01, 4.86it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.94it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.98it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.96it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.97it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.86it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.01it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.04it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.01it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.99it/s] 50%|█████ | 6/12 [00:01<00:01, 4.99it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.00it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.99it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.87it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.92it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.88it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.87it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.91it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.90it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.89it/s] 50%|█████ | 6/12 [00:01<00:01, 4.92it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.94it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.95it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.89it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.93it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.99it/s] 100%|██████████| 12/12 [00:02<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.10it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.07it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.06it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.03it/s] 42%|████▏ | 5/12 [00:00<00:01, 4.96it/s] 50%|█████ | 6/12 [00:01<00:01, 4.97it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.97it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.91it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.95it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.98it/s] 92%|█████████▏| 11/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.00it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.01it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.02it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.94it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.90it/s] 50%|█████ | 6/12 [00:01<00:01, 4.87it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.91it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.94it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.93it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.96it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.99it/s] 100%|██████████| 12/12 [00:02<00:00, 5.00it/s] 100%|██████████| 12/12 [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, 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.98it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.95it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.96it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.98it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.95it/s] 50%|█████ | 6/12 [00:01<00:01, 4.93it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.90it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.96it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.98it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.97it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.98it/s] 100%|██████████| 12/12 [00:02<00:00, 4.95it/s] 100%|██████████| 12/12 [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 hand, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.94it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.02it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.04it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.06it/s] 42%|████▏ | 5/12 [00:00<00:01, 5.02it/s] 50%|█████ | 6/12 [00:01<00:01, 5.04it/s] 58%|█████▊ | 7/12 [00:01<00:00, 5.06it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.07it/s] 75%|███████▌ | 9/12 [00:01<00:00, 5.07it/s] 83%|████████▎ | 10/12 [00:01<00:00, 5.07it/s] 92%|█████████▏| 11/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.02it/s] 100%|██████████| 12/12 [00:02<00:00, 5.04it/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: 2.6ms preprocess, 7.3ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 4.68it/s] 17%|█▋ | 2/12 [00:00<00:02, 4.77it/s] 25%|██▌ | 3/12 [00:00<00:01, 4.92it/s] 33%|███▎ | 4/12 [00:00<00:01, 4.88it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.92it/s] 50%|█████ | 6/12 [00:01<00:01, 4.95it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 4.84it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.90it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.94it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.98it/s] 100%|██████████| 12/12 [00:02<00:00, 4.97it/s] 100%|██████████| 12/12 [00:02<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.8ms Speed: 3.7ms preprocess, 7.8ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name epiNoiseoffset_v2 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:02, 5.13it/s] 17%|█▋ | 2/12 [00:00<00:01, 5.04it/s] 25%|██▌ | 3/12 [00:00<00:01, 5.02it/s] 33%|███▎ | 4/12 [00:00<00:01, 5.00it/s] 42%|████▏ | 5/12 [00:01<00:01, 4.94it/s] 50%|█████ | 6/12 [00:01<00:01, 4.93it/s] 58%|█████▊ | 7/12 [00:01<00:01, 4.98it/s] 67%|██████▋ | 8/12 [00:01<00:00, 5.01it/s] 75%|███████▌ | 9/12 [00:01<00:00, 4.99it/s] 83%|████████▎ | 10/12 [00:02<00:00, 4.98it/s] 92%|█████████▏| 11/12 [00:02<00:00, 4.99it/s] 100%|██████████| 12/12 [00:02<00:00, 4.96it/s] 100%|██████████| 12/12 [00:02<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.