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Witches in the Snow with Art Universe
art-universe:v8.0
evevalentine2017
evevalentine2017
·
Jan 6
355
Input
prompt
Specify things to see in the output
(Russian village,birch:1.3), (dynamic pose:1.2), (dynamic camera), masterpiece, (winter, snow, snowstrom:1.2), cute smiling young_woman laughs, freckles, grey eyes, chestnut layered hair, cleavage, looking to camera, ass,solo, half shot, detailed background, witch hat, witch, magical atmosphere, long red ginger hair flowing in the wind, (fur trimmed colored sexy clothes), show panty, dotted stockings, whirl wind of swirling magic spell in the air, dark magic, (style-swirlmagic:0.8), floating particles,richly colored skies,style of pop art-inspired collages,,RAW,photographic, photo shadows, realistic, absurdres, aesthetic, elegant
negative_prompt
Specify things to not see in the output
more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.95
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3356452445
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 SDE Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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)
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)
bad-hands-5.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/a8afbc8c25864d9588e9d217e187f395/00000-3356452445.webp
https://files.tungsten.run/uploads/86c625ec75814efab6cfc627a6601b60/00001-3356452446.webp
https://files.tungsten.run/uploads/e8bb2196a4b947aab15961328d89e6f4/00002-3356452447.webp
https://files.tungsten.run/uploads/ecd3d011491e4165a4eec06411da1961/00003-3356452448.webp
Finished in 111.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (Russian village,birch:1.3), (dynamic pose:1.2), (dynamic camera), masterpiece, (winter, snow, snowstrom:1.2), cute smiling young_woman laughs, freckles, grey eyes, chestnut layered hair, cleavage, looking to camera, ass,solo, half shot, detailed background, witch hat, witch, magical atmosphere, long red ginger hair flowing in the wind, (fur trimmed colored sexy clothes), show panty, dotted stockings, whirl wind of swirling magic spell in the air, dark magic, (style-swirlmagic:0.8), floating particles,richly colored skies,style of pop art-inspired collages,,RAW,photographic, photo shadows, realistic, absurdres, aesthetic, elegant, <lora:add_saturation:-0.95> Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)) 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:47, 1.77s/it] 7%|▋ | 2/28 [00:03<00:46, 1.80s/it] 11%|█ | 3/28 [00:05<00:45, 1.81s/it] 14%|█▍ | 4/28 [00:07<00:44, 1.84s/it] 18%|█▊ | 5/28 [00:09<00:42, 1.86s/it] 21%|██▏ | 6/28 [00:10<00:40, 1.84s/it] 25%|██▌ | 7/28 [00:12<00:38, 1.85s/it] 29%|██▊ | 8/28 [00:14<00:36, 1.82s/it] 32%|███▏ | 9/28 [00:16<00:34, 1.82s/it] 36%|███▌ | 10/28 [00:18<00:33, 1.84s/it] 39%|███▉ | 11/28 [00:20<00:30, 1.79s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.79s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.79s/it] 50%|█████ | 14/28 [00:25<00:24, 1.78s/it] 54%|█████▎ | 15/28 [00:27<00:23, 1.80s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.75s/it] 61%|██████ | 17/28 [00:30<00:18, 1.67s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.66s/it] 68%|██████▊ | 19/28 [00:33<00:14, 1.65s/it] 71%|███████▏ | 20/28 [00:35<00:13, 1.63s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.68s/it] 79%|███████▊ | 22/28 [00:38<00:09, 1.66s/it] 82%|████████▏ | 23/28 [00:40<00:08, 1.69s/it] 86%|████████▌ | 24/28 [00:41<00:06, 1.62s/it] 89%|████████▉ | 25/28 [00:43<00:04, 1.59s/it] 93%|█████████▎| 26/28 [00:44<00:03, 1.61s/it] 96%|█████████▋| 27/28 [00:46<00:01, 1.45s/it] 100%|██████████| 28/28 [00:46<00:00, 1.21s/it] 100%|██████████| 28/28 [00:46<00:00, 1.67s/it] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.5ms Speed: 3.0ms preprocess, 8.5ms inference, 24.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:06, 1.77it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.26it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.41it/s] 31%|███ | 4/13 [00:01<00:03, 2.49it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.54it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.46it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.47it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.44it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.57it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.60it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.60it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.92it/s] 100%|██████████| 13/13 [00:04<00:00, 3.54it/s] 100%|██████████| 13/13 [00:04<00:00, 2.70it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.43it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.65it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.57it/s] 31%|███ | 4/13 [00:01<00:03, 2.57it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.61it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.49it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.52it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.46it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.60it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.65it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.59it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.91it/s] 100%|██████████| 13/13 [00:04<00:00, 3.52it/s] 100%|██████████| 13/13 [00:04<00:00, 2.78it/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<00:04, 2.47it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.72it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.62it/s] 31%|███ | 4/13 [00:01<00:03, 2.62it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.64it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.55it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.45it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.58it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.59it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.90it/s] 100%|██████████| 13/13 [00:04<00:00, 3.52it/s] 100%|██████████| 13/13 [00:04<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.39it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.67it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.64it/s] 31%|███ | 4/13 [00:01<00:03, 2.56it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.59it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.54it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.50it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.58it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.65it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.66it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.89it/s] 100%|██████████| 13/13 [00:04<00:00, 3.50it/s] 100%|██████████| 13/13 [00:04<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.49it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.70it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.65it/s] 31%|███ | 4/13 [00:01<00:03, 2.64it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.67it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.58it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.49it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.63it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.69it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.68it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.99it/s] 100%|██████████| 13/13 [00:04<00:00, 3.61it/s] 100%|██████████| 13/13 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.41it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.68it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.59it/s] 31%|███ | 4/13 [00:01<00:03, 2.54it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.56it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.45it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.50it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.46it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.57it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.61it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.92it/s] 100%|██████████| 13/13 [00:04<00:00, 3.54it/s] 100%|██████████| 13/13 [00:04<00:00, 2.77it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.6ms 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<00:05, 2.39it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.60it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.59it/s] 31%|███ | 4/13 [00:01<00:03, 2.60it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.56it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.49it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.54it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.48it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.61it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.65it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.61it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.92it/s] 100%|██████████| 13/13 [00:04<00:00, 3.53it/s] 100%|██████████| 13/13 [00:04<00:00, 2.78it/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<00:04, 2.46it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.70it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.64it/s] 31%|███ | 4/13 [00:01<00:03, 2.63it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.60it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.49it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.53it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.46it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.58it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.63it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.93it/s] 100%|██████████| 13/13 [00:04<00:00, 3.53it/s] 100%|██████████| 13/13 [00:04<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.51it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.71it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.65it/s] 31%|███ | 4/13 [00:01<00:03, 2.59it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.62it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.57it/s] 62%|██████▏ | 8/13 [00:03<00:01, 2.51it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.63it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.68it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.65it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.93it/s] 100%|██████████| 13/13 [00:04<00:00, 3.56it/s] 100%|██████████| 13/13 [00:04<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms 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<00:04, 2.56it/s] 15%|█▌ | 2/13 [00:00<00:03, 2.79it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.72it/s] 31%|███ | 4/13 [00:01<00:03, 2.70it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.69it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.57it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.57it/s] 62%|██████▏ | 8/13 [00:03<00:01, 2.50it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.60it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.61it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.91it/s] 100%|██████████| 13/13 [00:04<00:00, 3.53it/s] 100%|██████████| 13/13 [00:04<00:00, 2.83it/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
(Russian village,birch:1.3), (dynamic pose:1.2), (dynamic camera), masterpiece, (winter, snow, snowstrom:1.2), cute smiling young_woman laughs, freckles, grey eyes, chestnut layered hair, cleavage, looking to camera, ass,solo, half shot, detailed background, witch hat, witch, magical atmosphere, long red ginger hair flowing in the wind, (fur trimmed colored sexy clothes), show panty, dotted stockings, whirl wind of swirling magic spell in the air, dark magic, (style-swirlmagic:0.8), floating particles,richly colored skies,style of pop art-inspired collages,,RAW,photographic, photo shadows, realistic, absurdres, aesthetic, elegant
negative_prompt
Specify things to not see in the output
more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale))
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.95
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3356452445
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 SDE Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
1
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)
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)
bad-hands-5.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/a8afbc8c25864d9588e9d217e187f395/00000-3356452445.webp
https://files.tungsten.run/uploads/86c625ec75814efab6cfc627a6601b60/00001-3356452446.webp
https://files.tungsten.run/uploads/e8bb2196a4b947aab15961328d89e6f4/00002-3356452447.webp
https://files.tungsten.run/uploads/ecd3d011491e4165a4eec06411da1961/00003-3356452448.webp
Finished in 111.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (Russian village,birch:1.3), (dynamic pose:1.2), (dynamic camera), masterpiece, (winter, snow, snowstrom:1.2), cute smiling young_woman laughs, freckles, grey eyes, chestnut layered hair, cleavage, looking to camera, ass,solo, half shot, detailed background, witch hat, witch, magical atmosphere, long red ginger hair flowing in the wind, (fur trimmed colored sexy clothes), show panty, dotted stockings, whirl wind of swirling magic spell in the air, dark magic, (style-swirlmagic:0.8), floating particles,richly colored skies,style of pop art-inspired collages,,RAW,photographic, photo shadows, realistic, absurdres, aesthetic, elegant, <lora:add_saturation:-0.95> Full negative prompt: more than 2 legs, nipples, nsfw, frame, canvas, low quality, medium quality, easynegative, watermark, text, username, 3d, frame, ng_deepnegative_v1_75t, bad-hands-5, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), 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86%|████████▌ | 24/28 [00:41<00:06, 1.62s/it] 89%|████████▉ | 25/28 [00:43<00:04, 1.59s/it] 93%|█████████▎| 26/28 [00:44<00:03, 1.61s/it] 96%|█████████▋| 27/28 [00:46<00:01, 1.45s/it] 100%|██████████| 28/28 [00:46<00:00, 1.21s/it] 100%|██████████| 28/28 [00:46<00:00, 1.67s/it] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.5ms Speed: 3.0ms preprocess, 8.5ms inference, 24.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:06, 1.77it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.26it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.41it/s] 31%|███ | 4/13 [00:01<00:03, 2.49it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.54it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.46it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.47it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.44it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.57it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.60it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.60it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.92it/s] 100%|██████████| 13/13 [00:04<00:00, 3.54it/s] 100%|██████████| 13/13 [00:04<00:00, 2.70it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.43it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.65it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.57it/s] 31%|███ | 4/13 [00:01<00:03, 2.57it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.61it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.49it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.52it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.46it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.60it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.65it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.59it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.91it/s] 100%|██████████| 13/13 [00:04<00:00, 3.52it/s] 100%|██████████| 13/13 [00:04<00:00, 2.78it/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<00:04, 2.47it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.72it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.62it/s] 31%|███ | 4/13 [00:01<00:03, 2.62it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.64it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.55it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.45it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.58it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.59it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.90it/s] 100%|██████████| 13/13 [00:04<00:00, 3.52it/s] 100%|██████████| 13/13 [00:04<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:05, 2.39it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.67it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.64it/s] 31%|███ | 4/13 [00:01<00:03, 2.56it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.59it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.54it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.50it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.58it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.65it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.66it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.89it/s] 100%|██████████| 13/13 [00:04<00:00, 3.50it/s] 100%|██████████| 13/13 [00:04<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.6ms preprocess, 6.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.49it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.70it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.65it/s] 31%|███ | 4/13 [00:01<00:03, 2.64it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.67it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.58it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.49it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.63it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.69it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.68it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.99it/s] 100%|██████████| 13/13 [00:04<00:00, 3.61it/s] 100%|██████████| 13/13 [00:04<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.41it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.68it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.59it/s] 31%|███ | 4/13 [00:01<00:03, 2.54it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.56it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.45it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.50it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.46it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.57it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.61it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.92it/s] 100%|██████████| 13/13 [00:04<00:00, 3.54it/s] 100%|██████████| 13/13 [00:04<00:00, 2.77it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.0ms Speed: 2.6ms 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<00:05, 2.39it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.60it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.59it/s] 31%|███ | 4/13 [00:01<00:03, 2.60it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.56it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.49it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.54it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.48it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.61it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.65it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.61it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.92it/s] 100%|██████████| 13/13 [00:04<00:00, 3.53it/s] 100%|██████████| 13/13 [00:04<00:00, 2.78it/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<00:04, 2.46it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.70it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.64it/s] 31%|███ | 4/13 [00:01<00:03, 2.63it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.60it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.49it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.53it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.46it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.58it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.63it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.93it/s] 100%|██████████| 13/13 [00:04<00:00, 3.53it/s] 100%|██████████| 13/13 [00:04<00:00, 2.79it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.8ms Speed: 2.7ms preprocess, 7.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:04, 2.51it/s] 15%|█▌ | 2/13 [00:00<00:04, 2.71it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.65it/s] 31%|███ | 4/13 [00:01<00:03, 2.59it/s] 38%|███▊ | 5/13 [00:01<00:03, 2.62it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.52it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.57it/s] 62%|██████▏ | 8/13 [00:03<00:01, 2.51it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.63it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.68it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.65it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.93it/s] 100%|██████████| 13/13 [00:04<00:00, 3.56it/s] 100%|██████████| 13/13 [00:04<00:00, 2.82it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.8ms 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<00:04, 2.56it/s] 15%|█▌ | 2/13 [00:00<00:03, 2.79it/s] 23%|██▎ | 3/13 [00:01<00:03, 2.72it/s] 31%|███ | 4/13 [00:01<00:03, 2.70it/s] 38%|███▊ | 5/13 [00:01<00:02, 2.69it/s] 46%|████▌ | 6/13 [00:02<00:02, 2.57it/s] 54%|█████▍ | 7/13 [00:02<00:02, 2.57it/s] 62%|██████▏ | 8/13 [00:03<00:01, 2.50it/s] 69%|██████▉ | 9/13 [00:03<00:01, 2.60it/s] 77%|███████▋ | 10/13 [00:03<00:01, 2.63it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.61it/s] 92%|█████████▏| 12/13 [00:04<00:00, 2.91it/s] 100%|██████████| 13/13 [00:04<00:00, 3.53it/s] 100%|██████████| 13/13 [00:04<00:00, 2.83it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.