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Orange Sweater with Animesh
animesh:v2.1
evevalentine2017
evevalentine2017
·
Jan 10
3
Input
prompt
Specify things to see in the output
((cowboy shot)), 1girl, upper body picture of a cat girl, (rawr face:1.1), cat ears, ((black hair, orange highlights:1.5)), wearing very big ((orange)) sweater, ((orange)) cat eyes, short hair, window background, sunset, uwu, Knitting, white teeth, (natural skin texture, hyperrealism, soft light, sharp, perfect face),
negative_prompt
Specify things to not see in the output
easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark))
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
0.3
contrast
Adjust contrast
-0.6
saturation
Adjust saturation
0.6
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2177190229
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
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/7de7dc7b6c1641c2b3321c29a2b429f3/00000-2177190229.webp
https://files.tungsten.run/uploads/5bd79e4d59bf47d0b86ee9aa9b8de4df/00001-2177190230.webp
https://files.tungsten.run/uploads/f27b0b5c02a74657b9c5b55af3840dfc/00002-2177190231.webp
https://files.tungsten.run/uploads/fcd47e1cc57c4252af8401ccf9f5d5a4/00003-2177190232.webp
Finished in 149.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: ((cowboy shot)), 1girl, upper body picture of a cat girl, (rawr face:1.1), cat ears, ((black hair, orange highlights:1.5)), wearing very big ((orange)) sweater, ((orange)) cat eyes, short hair, window background, sunset, uwu, Knitting, white teeth, (natural skin texture, hyperrealism, soft light, sharp, perfect face),, <lora:add_brightness:0.3>, <lora:contrast_slider_v10:-0.6>, <lora:add_saturation:0.6> Full negative prompt: easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:34, 1.93s/it] 4%|▍ | 2/50 [00:03<01:29, 1.86s/it] 6%|▌ | 3/50 [00:05<01:21, 1.74s/it] 8%|▊ | 4/50 [00:07<01:20, 1.75s/it] 10%|█ | 5/50 [00:08<01:19, 1.76s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.75s/it] 14%|█▍ | 7/50 [00:12<01:14, 1.74s/it] 16%|█▌ | 8/50 [00:14<01:15, 1.79s/it] 18%|█▊ | 9/50 [00:16<01:15, 1.84s/it] 20%|██ | 10/50 [00:17<01:13, 1.83s/it] 22%|██▏ | 11/50 [00:20<01:21, 2.08s/it] 24%|██▍ | 12/50 [00:23<01:23, 2.20s/it] 26%|██▌ | 13/50 [00:25<01:17, 2.11s/it] 28%|██▊ | 14/50 [00:26<01:11, 2.00s/it] 30%|███ | 15/50 [00:28<01:07, 1.94s/it] 32%|███▏ | 16/50 [00:30<01:04, 1.88s/it] 34%|███▍ | 17/50 [00:32<01:01, 1.85s/it] 36%|███▌ | 18/50 [00:34<01:00, 1.88s/it] 38%|███▊ | 19/50 [00:35<00:56, 1.81s/it] 40%|████ | 20/50 [00:37<00:54, 1.82s/it] 42%|████▏ | 21/50 [00:39<00:52, 1.79s/it] 44%|████▍ | 22/50 [00:40<00:49, 1.77s/it] 46%|████▌ | 23/50 [00:42<00:46, 1.71s/it] 48%|████▊ | 24/50 [00:44<00:45, 1.75s/it] 50%|█████ | 25/50 [00:45<00:42, 1.68s/it] 52%|█████▏ | 26/50 [00:47<00:40, 1.68s/it] 54%|█████▍ | 27/50 [00:49<00:38, 1.66s/it] 56%|█████▌ | 28/50 [00:51<00:37, 1.71s/it] 58%|█████▊ | 29/50 [00:52<00:35, 1.70s/it] 60%|██████ | 30/50 [00:54<00:36, 1.80s/it] 62%|██████▏ | 31/50 [00:56<00:32, 1.71s/it] 64%|██████▍ | 32/50 [00:57<00:29, 1.66s/it] 66%|██████▌ | 33/50 [00:59<00:28, 1.69s/it] 68%|██████▊ | 34/50 [01:01<00:26, 1.66s/it] 70%|███████ | 35/50 [01:02<00:24, 1.66s/it] 72%|███████▏ | 36/50 [01:04<00:22, 1.57s/it] 74%|███████▍ | 37/50 [01:05<00:19, 1.51s/it] 76%|███████▌ | 38/50 [01:06<00:17, 1.49s/it] 78%|███████▊ | 39/50 [01:08<00:17, 1.56s/it] 80%|████████ | 40/50 [01:10<00:15, 1.54s/it] 82%|████████▏ | 41/50 [01:11<00:14, 1.62s/it] 84%|████████▍ | 42/50 [01:13<00:12, 1.59s/it] 86%|████████▌ | 43/50 [01:14<00:10, 1.56s/it] 88%|████████▊ | 44/50 [01:16<00:09, 1.60s/it] 90%|█████████ | 45/50 [01:18<00:07, 1.58s/it] 92%|█████████▏| 46/50 [01:19<00:06, 1.51s/it] 94%|█████████▍| 47/50 [01:20<00:04, 1.46s/it] 96%|█████████▌| 48/50 [01:22<00:02, 1.50s/it] 98%|█████████▊| 49/50 [01:23<00:01, 1.29s/it] 100%|██████████| 50/50 [01:23<00:00, 1.10s/it] 100%|██████████| 50/50 [01:23<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:12, 1.78it/s] 9%|▊ | 2/23 [00:00<00:09, 2.16it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.34it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.45it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.46it/s] 30%|███ | 7/23 [00:02<00:06, 2.55it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.56it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.72it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.83it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.88it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.78it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.81it/s] 61%|██████ | 14/23 [00:05<00:03, 2.67it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.74it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.78it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.66it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.71it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.81it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.94it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.91it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.40it/s] 100%|██████████| 23/23 [00:08<00:00, 4.00it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/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: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.32it/s] 9%|▊ | 2/23 [00:00<00:08, 2.43it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.31it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.48it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.57it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.52it/s] 30%|███ | 7/23 [00:02<00:06, 2.59it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.55it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.71it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.83it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.87it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.75it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.77it/s] 61%|██████ | 14/23 [00:05<00:03, 2.62it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.70it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.75it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.66it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.71it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.80it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.91it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.91it/s] 96%|█████████▌| 22/23 [00:07<00:00, 3.39it/s] 100%|██████████| 23/23 [00:08<00:00, 3.99it/s] 100%|██████████| 23/23 [00:08<00:00, 2.83it/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, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.35it/s] 9%|▊ | 2/23 [00:00<00:08, 2.44it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.32it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.51it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.61it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.57it/s] 30%|███ | 7/23 [00:02<00:06, 2.64it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.62it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.76it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.86it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.90it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.76it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.75it/s] 61%|██████ | 14/23 [00:05<00:03, 2.63it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.72it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.76it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.63it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.68it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.76it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.89it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.87it/s] 96%|█████████▌| 22/23 [00:07<00:00, 3.33it/s] 100%|██████████| 23/23 [00:08<00:00, 3.91it/s] 100%|██████████| 23/23 [00:08<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 3.4ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.32it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.33it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.48it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.43it/s] 30%|███ | 7/23 [00:02<00:06, 2.47it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.49it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.66it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.80it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.86it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.74it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.77it/s] 61%|██████ | 14/23 [00:05<00:03, 2.63it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.69it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.75it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.65it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.67it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.78it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.91it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.87it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.34it/s] 100%|██████████| 23/23 [00:08<00:00, 3.94it/s] 100%|██████████| 23/23 [00:08<00:00, 2.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.18it/s] 9%|▊ | 2/23 [00:00<00:08, 2.34it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.24it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.38it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.50it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.45it/s] 30%|███ | 7/23 [00:02<00:06, 2.55it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.57it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.67it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.78it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.84it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.66it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.69it/s] 61%|██████ | 14/23 [00:05<00:03, 2.59it/s] 65%|██████▌ | 15/23 [00:05<00:03, 2.66it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.72it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.60it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.65it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.77it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.86it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.36it/s] 100%|██████████| 23/23 [00:08<00:00, 3.95it/s] 100%|██████████| 23/23 [00:08<00:00, 2.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.25it/s] 9%|▊ | 2/23 [00:00<00:08, 2.40it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.30it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.48it/s] 22%|██▏ | 5/23 [00:02<00:06, 2.60it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.55it/s] 30%|███ | 7/23 [00:02<00:06, 2.59it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.56it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.65it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.78it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.82it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.66it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.68it/s] 61%|██████ | 14/23 [00:05<00:03, 2.57it/s] 65%|██████▌ | 15/23 [00:05<00:03, 2.63it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.70it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.58it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.64it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.76it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.90it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.37it/s] 100%|██████████| 23/23 [00:08<00:00, 3.97it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/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
((cowboy shot)), 1girl, upper body picture of a cat girl, (rawr face:1.1), cat ears, ((black hair, orange highlights:1.5)), wearing very big ((orange)) sweater, ((orange)) cat eyes, short hair, window background, sunset, uwu, Knitting, white teeth, (natural skin texture, hyperrealism, soft light, sharp, perfect face),
negative_prompt
Specify things to not see in the output
easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark))
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
0.3
contrast
Adjust contrast
-0.6
saturation
Adjust saturation
0.6
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2177190229
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
50
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
ClearVAE_V2.3_fp16.pt
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)
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/7de7dc7b6c1641c2b3321c29a2b429f3/00000-2177190229.webp
https://files.tungsten.run/uploads/5bd79e4d59bf47d0b86ee9aa9b8de4df/00001-2177190230.webp
https://files.tungsten.run/uploads/f27b0b5c02a74657b9c5b55af3840dfc/00002-2177190231.webp
https://files.tungsten.run/uploads/fcd47e1cc57c4252af8401ccf9f5d5a4/00003-2177190232.webp
Finished in 149.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/ClearVAE_V2.3_fp16.pt Full prompt: ((cowboy shot)), 1girl, upper body picture of a cat girl, (rawr face:1.1), cat ears, ((black hair, orange highlights:1.5)), wearing very big ((orange)) sweater, ((orange)) cat eyes, short hair, window background, sunset, uwu, Knitting, white teeth, (natural skin texture, hyperrealism, soft light, sharp, perfect face),, <lora:add_brightness:0.3>, <lora:contrast_slider_v10:-0.6>, <lora:add_saturation:0.6> Full negative prompt: easynegative, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)) 0%| | 0/50 [00:00<?, ?it/s] 2%|▏ | 1/50 [00:01<01:34, 1.93s/it] 4%|▍ | 2/50 [00:03<01:29, 1.86s/it] 6%|▌ | 3/50 [00:05<01:21, 1.74s/it] 8%|▊ | 4/50 [00:07<01:20, 1.75s/it] 10%|█ | 5/50 [00:08<01:19, 1.76s/it] 12%|█▏ | 6/50 [00:10<01:16, 1.75s/it] 14%|█▍ | 7/50 [00:12<01:14, 1.74s/it] 16%|█▌ | 8/50 [00:14<01:15, 1.79s/it] 18%|█▊ | 9/50 [00:16<01:15, 1.84s/it] 20%|██ | 10/50 [00:17<01:13, 1.83s/it] 22%|██▏ | 11/50 [00:20<01:21, 2.08s/it] 24%|██▍ | 12/50 [00:23<01:23, 2.20s/it] 26%|██▌ | 13/50 [00:25<01:17, 2.11s/it] 28%|██▊ | 14/50 [00:26<01:11, 2.00s/it] 30%|███ | 15/50 [00:28<01:07, 1.94s/it] 32%|███▏ | 16/50 [00:30<01:04, 1.88s/it] 34%|███▍ | 17/50 [00:32<01:01, 1.85s/it] 36%|███▌ | 18/50 [00:34<01:00, 1.88s/it] 38%|███▊ | 19/50 [00:35<00:56, 1.81s/it] 40%|████ | 20/50 [00:37<00:54, 1.82s/it] 42%|████▏ | 21/50 [00:39<00:52, 1.79s/it] 44%|████▍ | 22/50 [00:40<00:49, 1.77s/it] 46%|████▌ | 23/50 [00:42<00:46, 1.71s/it] 48%|████▊ | 24/50 [00:44<00:45, 1.75s/it] 50%|█████ | 25/50 [00:45<00:42, 1.68s/it] 52%|█████▏ | 26/50 [00:47<00:40, 1.68s/it] 54%|█████▍ | 27/50 [00:49<00:38, 1.66s/it] 56%|█████▌ | 28/50 [00:51<00:37, 1.71s/it] 58%|█████▊ | 29/50 [00:52<00:35, 1.70s/it] 60%|██████ | 30/50 [00:54<00:36, 1.80s/it] 62%|██████▏ | 31/50 [00:56<00:32, 1.71s/it] 64%|██████▍ | 32/50 [00:57<00:29, 1.66s/it] 66%|██████▌ | 33/50 [00:59<00:28, 1.69s/it] 68%|██████▊ | 34/50 [01:01<00:26, 1.66s/it] 70%|███████ | 35/50 [01:02<00:24, 1.66s/it] 72%|███████▏ | 36/50 [01:04<00:22, 1.57s/it] 74%|███████▍ | 37/50 [01:05<00:19, 1.51s/it] 76%|███████▌ | 38/50 [01:06<00:17, 1.49s/it] 78%|███████▊ | 39/50 [01:08<00:17, 1.56s/it] 80%|████████ | 40/50 [01:10<00:15, 1.54s/it] 82%|████████▏ | 41/50 [01:11<00:14, 1.62s/it] 84%|████████▍ | 42/50 [01:13<00:12, 1.59s/it] 86%|████████▌ | 43/50 [01:14<00:10, 1.56s/it] 88%|████████▊ | 44/50 [01:16<00:09, 1.60s/it] 90%|█████████ | 45/50 [01:18<00:07, 1.58s/it] 92%|█████████▏| 46/50 [01:19<00:06, 1.51s/it] 94%|█████████▍| 47/50 [01:20<00:04, 1.46s/it] 96%|█████████▌| 48/50 [01:22<00:02, 1.50s/it] 98%|█████████▊| 49/50 [01:23<00:01, 1.29s/it] 100%|██████████| 50/50 [01:23<00:00, 1.10s/it] 100%|██████████| 50/50 [01:23<00:00, 1.68s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.01s 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 22.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:12, 1.78it/s] 9%|▊ | 2/23 [00:00<00:09, 2.16it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.34it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.45it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.46it/s] 30%|███ | 7/23 [00:02<00:06, 2.55it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.56it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.72it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.83it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.88it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.78it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.81it/s] 61%|██████ | 14/23 [00:05<00:03, 2.67it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.74it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.78it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.66it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.71it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.81it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.94it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.91it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.40it/s] 100%|██████████| 23/23 [00:08<00:00, 4.00it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/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: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.32it/s] 9%|▊ | 2/23 [00:00<00:08, 2.43it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.31it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.48it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.57it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.52it/s] 30%|███ | 7/23 [00:02<00:06, 2.59it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.55it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.71it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.83it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.87it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.75it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.77it/s] 61%|██████ | 14/23 [00:05<00:03, 2.62it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.70it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.75it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.66it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.71it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.80it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.91it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.91it/s] 96%|█████████▌| 22/23 [00:07<00:00, 3.39it/s] 100%|██████████| 23/23 [00:08<00:00, 3.99it/s] 100%|██████████| 23/23 [00:08<00:00, 2.83it/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, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.35it/s] 9%|▊ | 2/23 [00:00<00:08, 2.44it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.32it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.51it/s] 22%|██▏ | 5/23 [00:01<00:06, 2.61it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.57it/s] 30%|███ | 7/23 [00:02<00:06, 2.64it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.62it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.76it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.86it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.90it/s] 52%|█████▏ | 12/23 [00:04<00:03, 2.76it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.75it/s] 61%|██████ | 14/23 [00:05<00:03, 2.63it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.72it/s] 70%|██████▉ | 16/23 [00:05<00:02, 2.76it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.63it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.68it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.76it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.89it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.87it/s] 96%|█████████▌| 22/23 [00:07<00:00, 3.33it/s] 100%|██████████| 23/23 [00:08<00:00, 3.91it/s] 100%|██████████| 23/23 [00:08<00:00, 2.84it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 7.6ms Speed: 3.4ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.32it/s] 9%|▊ | 2/23 [00:00<00:10, 2.09it/s] 13%|█▎ | 3/23 [00:01<00:09, 2.14it/s] 17%|█▋ | 4/23 [00:01<00:08, 2.33it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.48it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.43it/s] 30%|███ | 7/23 [00:02<00:06, 2.47it/s] 35%|███▍ | 8/23 [00:03<00:06, 2.49it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.66it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.80it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.86it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.74it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.77it/s] 61%|██████ | 14/23 [00:05<00:03, 2.63it/s] 65%|██████▌ | 15/23 [00:05<00:02, 2.69it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.75it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.65it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.67it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.78it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.91it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.87it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.34it/s] 100%|██████████| 23/23 [00:08<00:00, 3.94it/s] 100%|██████████| 23/23 [00:08<00:00, 2.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:10, 2.18it/s] 9%|▊ | 2/23 [00:00<00:08, 2.34it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.24it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.38it/s] 22%|██▏ | 5/23 [00:02<00:07, 2.50it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.45it/s] 30%|███ | 7/23 [00:02<00:06, 2.55it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.57it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.67it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.78it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.84it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.66it/s] 57%|█████▋ | 13/23 [00:05<00:03, 2.69it/s] 61%|██████ | 14/23 [00:05<00:03, 2.59it/s] 65%|██████▌ | 15/23 [00:05<00:03, 2.66it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.72it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.60it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.65it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.77it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.86it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.36it/s] 100%|██████████| 23/23 [00:08<00:00, 3.95it/s] 100%|██████████| 23/23 [00:08<00:00, 2.78it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:09, 2.25it/s] 9%|▊ | 2/23 [00:00<00:08, 2.40it/s] 13%|█▎ | 3/23 [00:01<00:08, 2.30it/s] 17%|█▋ | 4/23 [00:01<00:07, 2.48it/s] 22%|██▏ | 5/23 [00:02<00:06, 2.60it/s] 26%|██▌ | 6/23 [00:02<00:06, 2.55it/s] 30%|███ | 7/23 [00:02<00:06, 2.59it/s] 35%|███▍ | 8/23 [00:03<00:05, 2.56it/s] 39%|███▉ | 9/23 [00:03<00:05, 2.65it/s] 43%|████▎ | 10/23 [00:03<00:04, 2.78it/s] 48%|████▊ | 11/23 [00:04<00:04, 2.82it/s] 52%|█████▏ | 12/23 [00:04<00:04, 2.66it/s] 57%|█████▋ | 13/23 [00:04<00:03, 2.68it/s] 61%|██████ | 14/23 [00:05<00:03, 2.57it/s] 65%|██████▌ | 15/23 [00:05<00:03, 2.63it/s] 70%|██████▉ | 16/23 [00:06<00:02, 2.70it/s] 74%|███████▍ | 17/23 [00:06<00:02, 2.58it/s] 78%|███████▊ | 18/23 [00:06<00:01, 2.64it/s] 83%|████████▎ | 19/23 [00:07<00:01, 2.76it/s] 87%|████████▋ | 20/23 [00:07<00:01, 2.90it/s] 91%|█████████▏| 21/23 [00:07<00:00, 2.88it/s] 96%|█████████▌| 22/23 [00:08<00:00, 3.37it/s] 100%|██████████| 23/23 [00:08<00:00, 3.97it/s] 100%|██████████| 23/23 [00:08<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.