Version: v1.1
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
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Output
https://files.tungsten.run/uploads/96be7d075dfe4aa4b2799ec374810521/00000-3276679675.webp
https://files.tungsten.run/uploads/0778d0c592604a40a89ee094d65d938c/00001-3276679676.webp
https://files.tungsten.run/uploads/4fb3b81524ee4a37a6f0a74b79b6cfcc/00002-3276679677.webp
https://files.tungsten.run/uploads/2c319a2cbf514539a806fb6fc215cd18/00003-3276679678.webp
This example was created by evevalentine2017
Finished in 203.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: realistic, highres, (masterpiece:1.1), (best quality:1.1), official art, perfect anatomy, subsurface scattering, hdr, dynamic angle, by CLAMP, by Go Nagai, by CLAMP, The most adorable little chibi cat girl in the world is hunting monsters, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.8> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:01<02:12, 1.92s/it] 3%|▎ | 2/70 [00:03<01:48, 1.59s/it] 4%|▍ | 3/70 [00:04<01:39, 1.48s/it] 6%|▌ | 4/70 [00:05<01:34, 1.44s/it] 7%|▋ | 5/70 [00:07<01:31, 1.41s/it] 9%|▊ | 6/70 [00:08<01:29, 1.39s/it] 10%|█ | 7/70 [00:10<01:27, 1.38s/it] 11%|█▏ | 8/70 [00:11<01:25, 1.37s/it] 13%|█▎ | 9/70 [00:12<01:23, 1.37s/it] 14%|█▍ | 10/70 [00:14<01:22, 1.37s/it] 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83%|████████▎ | 58/70 [01:19<00:16, 1.37s/it] 84%|████████▍ | 59/70 [01:21<00:15, 1.37s/it] 86%|████████▌ | 60/70 [01:22<00:13, 1.37s/it] 87%|████████▋ | 61/70 [01:24<00:12, 1.37s/it] 89%|████████▊ | 62/70 [01:25<00:11, 1.38s/it] 90%|█████████ | 63/70 [01:26<00:09, 1.38s/it] 91%|█████████▏| 64/70 [01:28<00:08, 1.38s/it] 93%|█████████▎| 65/70 [01:29<00:06, 1.37s/it] 94%|█████████▍| 66/70 [01:30<00:05, 1.37s/it] 96%|█████████▌| 67/70 [01:32<00:04, 1.38s/it] 97%|█████████▋| 68/70 [01:33<00:02, 1.38s/it] 99%|█████████▊| 69/70 [01:35<00:01, 1.38s/it] 100%|██████████| 70/70 [01:35<00:00, 1.17s/it] 100%|██████████| 70/70 [01:35<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.4ms preprocess, 7.5ms inference, 30.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:13, 2.24it/s] 6%|▋ | 2/32 [00:00<00:10, 2.74it/s] 9%|▉ | 3/32 [00:01<00:10, 2.89it/s] 12%|█▎ | 4/32 [00:01<00:09, 2.97it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.05it/s] 19%|█▉ | 6/32 [00:02<00:08, 3.08it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.08it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.11it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.13it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.10it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.12it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.13it/s] 41%|████ | 13/32 [00:04<00:06, 3.10it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.11it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.13it/s] 50%|█████ | 16/32 [00:05<00:05, 3.11it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.13it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.11it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.12it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.14it/s] 69%|██████▉ | 22/32 [00:07<00:03, 3.12it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.12it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.14it/s] 78%|███████▊ | 25/32 [00:08<00:02, 3.13it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.10it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.13it/s] 88%|████████▊ | 28/32 [00:09<00:01, 3.12it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:10<00:00, 3.13it/s] 100%|██████████| 32/32 [00:10<00:00, 3.67it/s] 100%|██████████| 32/32 [00:10<00:00, 3.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.33it/s] 6%|▋ | 2/32 [00:00<00:09, 3.28it/s] 9%|▉ | 3/32 [00:00<00:09, 3.22it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.12it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.15it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.15it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.12it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.13it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.14it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.12it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.13it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.14it/s] 41%|████ | 13/32 [00:04<00:06, 3.12it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.12it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.14it/s] 50%|█████ | 16/32 [00:05<00:05, 3.11it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.11it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.13it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.11it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.11it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.13it/s] 69%|██████▉ | 22/32 [00:07<00:03, 3.13it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.12it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.14it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.12it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.12it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.11it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.11it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.09it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.10it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.11it/s] 100%|██████████| 32/32 [00:10<00:00, 3.65it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.22it/s] 6%|▋ | 2/32 [00:00<00:09, 3.21it/s] 9%|▉ | 3/32 [00:00<00:09, 3.16it/s] 12%|█▎ | 4/32 [00:01<00:09, 3.11it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.13it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.13it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.09it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.10it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.11it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.09it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.11it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.12it/s] 41%|████ | 13/32 [00:04<00:06, 3.09it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.10it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.12it/s] 50%|█████ | 16/32 [00:05<00:05, 3.11it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.09it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.10it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.09it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.11it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.11it/s] 69%|██████▉ | 22/32 [00:07<00:03, 3.11it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.11it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.10it/s] 78%|███████▊ | 25/32 [00:08<00:02, 3.09it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.09it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.11it/s] 88%|████████▊ | 28/32 [00:09<00:01, 3.10it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.10it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.13it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.66it/s] 100%|██████████| 32/32 [00:10<00:00, 3.16it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.24it/s] 6%|▋ | 2/32 [00:00<00:09, 3.22it/s] 9%|▉ | 3/32 [00:00<00:09, 3.12it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.13it/s] 16%|█▌ | 5/32 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3.12it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.13it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.13it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.68it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.28it/s] 6%|▋ | 2/32 [00:00<00:09, 3.25it/s] 9%|▉ | 3/32 [00:00<00:09, 3.13it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.13it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.16it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.12it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.12it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.14it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.12it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.12it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.14it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.12it/s] 41%|████ | 13/32 [00:04<00:06, 3.12it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.13it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.12it/s] 50%|█████ | 16/32 [00:05<00:05, 3.11it/s] 53%|█████▎ | 17/32 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[00:07<00:02, 3.12it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.13it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.13it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.12it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.13it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.12it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.67it/s] 100%|██████████| 32/32 [00:10<00:00, 3.19it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.33it/s] 6%|▋ | 2/32 [00:00<00:09, 3.27it/s] 9%|▉ | 3/32 [00:00<00:09, 3.22it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.15it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.17it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.17it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.13it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.15it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.16it/s] 31%|███▏ | 10/32 [00:03<00:06, 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[00:10<00:00, 3.20it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.34it/s] 6%|▋ | 2/32 [00:00<00:09, 3.27it/s] 9%|▉ | 3/32 [00:00<00:09, 3.21it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.13it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.16it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.16it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.13it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.15it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.16it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.13it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.15it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.15it/s] 41%|████ | 13/32 [00:04<00:06, 3.14it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.14it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.13it/s] 50%|█████ | 16/32 [00:05<00:05, 3.12it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.13it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.13it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.12it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.14it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.12it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.12it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.13it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.13it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.12it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.14it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.13it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.13it/s] 100%|██████████| 32/32 [00:10<00:00, 3.68it/s] 100%|██████████| 32/32 [00:10<00:00, 3.19it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.33it/s] 6%|▋ | 2/32 [00:00<00:09, 3.28it/s] 9%|▉ | 3/32 [00:00<00:09, 3.19it/s] 12%|█▎ | 4/32 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88%|████████▊ | 28/32 [00:08<00:01, 3.13it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.13it/s] 100%|██████████| 32/32 [00:10<00:00, 3.67it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/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
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/96be7d075dfe4aa4b2799ec374810521/00000-3276679675.webp
https://files.tungsten.run/uploads/0778d0c592604a40a89ee094d65d938c/00001-3276679676.webp
https://files.tungsten.run/uploads/4fb3b81524ee4a37a6f0a74b79b6cfcc/00002-3276679677.webp
https://files.tungsten.run/uploads/2c319a2cbf514539a806fb6fc215cd18/00003-3276679678.webp
This example was created by evevalentine2017
Finished in 203.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: realistic, highres, (masterpiece:1.1), (best quality:1.1), official art, perfect anatomy, subsurface scattering, hdr, dynamic angle, by CLAMP, by Go Nagai, by CLAMP, The most adorable little chibi cat girl in the world is hunting monsters, <lora:FaceBeauty_qinglong_V3:1>, <lora:more_details:0.8> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolutions, extra fingers, blur, blurry, ugly, wrongs proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, 0%| | 0/70 [00:00<?, ?it/s] 1%|▏ | 1/70 [00:01<02:12, 1.92s/it] 3%|▎ | 2/70 [00:03<01:48, 1.59s/it] 4%|▍ | 3/70 [00:04<01:39, 1.48s/it] 6%|▌ | 4/70 [00:05<01:34, 1.44s/it] 7%|▋ | 5/70 [00:07<01:31, 1.41s/it] 9%|▊ | 6/70 [00:08<01:29, 1.39s/it] 10%|█ | 7/70 [00:10<01:27, 1.38s/it] 11%|█▏ | 8/70 [00:11<01:25, 1.37s/it] 13%|█▎ | 9/70 [00:12<01:23, 1.37s/it] 14%|█▍ | 10/70 [00:14<01:22, 1.37s/it] 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83%|████████▎ | 58/70 [01:19<00:16, 1.37s/it] 84%|████████▍ | 59/70 [01:21<00:15, 1.37s/it] 86%|████████▌ | 60/70 [01:22<00:13, 1.37s/it] 87%|████████▋ | 61/70 [01:24<00:12, 1.37s/it] 89%|████████▊ | 62/70 [01:25<00:11, 1.38s/it] 90%|█████████ | 63/70 [01:26<00:09, 1.38s/it] 91%|█████████▏| 64/70 [01:28<00:08, 1.38s/it] 93%|█████████▎| 65/70 [01:29<00:06, 1.37s/it] 94%|█████████▍| 66/70 [01:30<00:05, 1.37s/it] 96%|█████████▌| 67/70 [01:32<00:04, 1.38s/it] 97%|█████████▋| 68/70 [01:33<00:02, 1.38s/it] 99%|█████████▊| 69/70 [01:35<00:01, 1.38s/it] 100%|██████████| 70/70 [01:35<00:00, 1.17s/it] 100%|██████████| 70/70 [01:35<00:00, 1.37s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 3.4ms preprocess, 7.5ms inference, 30.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:13, 2.24it/s] 6%|▋ | 2/32 [00:00<00:10, 2.74it/s] 9%|▉ | 3/32 [00:01<00:10, 2.89it/s] 12%|█▎ | 4/32 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88%|████████▊ | 28/32 [00:09<00:01, 3.12it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:10<00:00, 3.13it/s] 100%|██████████| 32/32 [00:10<00:00, 3.67it/s] 100%|██████████| 32/32 [00:10<00:00, 3.14it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.6ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.33it/s] 6%|▋ | 2/32 [00:00<00:09, 3.28it/s] 9%|▉ | 3/32 [00:00<00:09, 3.22it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.12it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.15it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.15it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.12it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.13it/s] 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100%|██████████| 32/32 [00:10<00:00, 3.65it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.22it/s] 6%|▋ | 2/32 [00:00<00:09, 3.21it/s] 9%|▉ | 3/32 [00:00<00:09, 3.16it/s] 12%|█▎ | 4/32 [00:01<00:09, 3.11it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.13it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.13it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.09it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.10it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.11it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.09it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.11it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.12it/s] 41%|████ | 13/32 [00:04<00:06, 3.09it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.10it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.12it/s] 50%|█████ | 16/32 [00:05<00:05, 3.11it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.09it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.10it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.09it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.11it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.11it/s] 69%|██████▉ | 22/32 [00:07<00:03, 3.11it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.11it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.10it/s] 78%|███████▊ | 25/32 [00:08<00:02, 3.09it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.09it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.11it/s] 88%|████████▊ | 28/32 [00:09<00:01, 3.10it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.10it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.13it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.66it/s] 100%|██████████| 32/32 [00:10<00:00, 3.16it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.24it/s] 6%|▋ | 2/32 [00:00<00:09, 3.22it/s] 9%|▉ | 3/32 [00:00<00:09, 3.12it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.13it/s] 16%|█▌ | 5/32 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3.12it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.13it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.13it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.68it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.28it/s] 6%|▋ | 2/32 [00:00<00:09, 3.25it/s] 9%|▉ | 3/32 [00:00<00:09, 3.13it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.13it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.16it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.12it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.12it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.14it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.12it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.12it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.14it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.12it/s] 41%|████ | 13/32 [00:04<00:06, 3.12it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.13it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.12it/s] 50%|█████ | 16/32 [00:05<00:05, 3.11it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.12it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.12it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.13it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.13it/s] 69%|██████▉ | 22/32 [00:07<00:03, 3.12it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.13it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.13it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.12it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.14it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.13it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.13it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.13it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.13it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.68it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 3.0ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.36it/s] 6%|▋ | 2/32 [00:00<00:09, 3.27it/s] 9%|▉ | 3/32 [00:00<00:08, 3.22it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.17it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.18it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.16it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.13it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.15it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.14it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.12it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.15it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.13it/s] 41%|████ | 13/32 [00:04<00:06, 3.11it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.14it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.13it/s] 50%|█████ | 16/32 [00:05<00:05, 3.12it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.13it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.13it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.12it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.13it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.13it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.12it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.13it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.13it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.12it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.13it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.13it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.12it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.13it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.12it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.12it/s] 100%|██████████| 32/32 [00:10<00:00, 3.67it/s] 100%|██████████| 32/32 [00:10<00:00, 3.19it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.9ms Speed: 2.7ms preprocess, 6.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.33it/s] 6%|▋ | 2/32 [00:00<00:09, 3.27it/s] 9%|▉ | 3/32 [00:00<00:09, 3.22it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.15it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.17it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.17it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.13it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.15it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.16it/s] 31%|███▏ | 10/32 [00:03<00:06, 3.16it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.16it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.17it/s] 41%|████ | 13/32 [00:04<00:06, 3.14it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.14it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.16it/s] 50%|█████ | 16/32 [00:05<00:05, 3.14it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.14it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.13it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.13it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.15it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.15it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.15it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.15it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.14it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.13it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.14it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.13it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.14it/s] 100%|██████████| 32/32 [00:10<00:00, 3.68it/s] 100%|██████████| 32/32 [00:10<00:00, 3.20it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.34it/s] 6%|▋ | 2/32 [00:00<00:09, 3.27it/s] 9%|▉ | 3/32 [00:00<00:09, 3.21it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.13it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.16it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.16it/s] 22%|██▏ | 7/32 [00:02<00:07, 3.13it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.15it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.16it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.13it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.15it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.15it/s] 41%|████ | 13/32 [00:04<00:06, 3.14it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.14it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.13it/s] 50%|█████ | 16/32 [00:05<00:05, 3.12it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.13it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.13it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.12it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.14it/s] 69%|██████▉ | 22/32 [00:06<00:03, 3.12it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.12it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.13it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.13it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.12it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.14it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.13it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.13it/s] 100%|██████████| 32/32 [00:10<00:00, 3.68it/s] 100%|██████████| 32/32 [00:10<00:00, 3.19it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/32 [00:00<?, ?it/s] 3%|▎ | 1/32 [00:00<00:09, 3.33it/s] 6%|▋ | 2/32 [00:00<00:09, 3.28it/s] 9%|▉ | 3/32 [00:00<00:09, 3.19it/s] 12%|█▎ | 4/32 [00:01<00:08, 3.15it/s] 16%|█▌ | 5/32 [00:01<00:08, 3.17it/s] 19%|█▉ | 6/32 [00:01<00:08, 3.15it/s] 22%|██▏ | 7/32 [00:02<00:08, 3.12it/s] 25%|██▌ | 8/32 [00:02<00:07, 3.15it/s] 28%|██▊ | 9/32 [00:02<00:07, 3.12it/s] 31%|███▏ | 10/32 [00:03<00:07, 3.12it/s] 34%|███▍ | 11/32 [00:03<00:06, 3.14it/s] 38%|███▊ | 12/32 [00:03<00:06, 3.14it/s] 41%|████ | 13/32 [00:04<00:06, 3.12it/s] 44%|████▍ | 14/32 [00:04<00:05, 3.13it/s] 47%|████▋ | 15/32 [00:04<00:05, 3.14it/s] 50%|█████ | 16/32 [00:05<00:05, 3.12it/s] 53%|█████▎ | 17/32 [00:05<00:04, 3.12it/s] 56%|█████▋ | 18/32 [00:05<00:04, 3.13it/s] 59%|█████▉ | 19/32 [00:06<00:04, 3.11it/s] 62%|██████▎ | 20/32 [00:06<00:03, 3.12it/s] 66%|██████▌ | 21/32 [00:06<00:03, 3.14it/s] 69%|██████▉ | 22/32 [00:07<00:03, 3.13it/s] 72%|███████▏ | 23/32 [00:07<00:02, 3.12it/s] 75%|███████▌ | 24/32 [00:07<00:02, 3.14it/s] 78%|███████▊ | 25/32 [00:07<00:02, 3.11it/s] 81%|████████▏ | 26/32 [00:08<00:01, 3.12it/s] 84%|████████▍ | 27/32 [00:08<00:01, 3.14it/s] 88%|████████▊ | 28/32 [00:08<00:01, 3.13it/s] 91%|█████████ | 29/32 [00:09<00:00, 3.12it/s] 94%|█████████▍| 30/32 [00:09<00:00, 3.14it/s] 97%|█████████▋| 31/32 [00:09<00:00, 3.13it/s] 100%|██████████| 32/32 [00:10<00:00, 3.67it/s] 100%|██████████| 32/32 [00:10<00:00, 3.18it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.