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Mushrooms with Arthemy Real
arthemy-real:v1.0
evevalentine2017
evevalentine2017
·
Jan 9
368
Input
prompt
Specify things to see in the output
trending on Artstation, cute fantasy highly detailed, surrealistic, birds, butterflies, cute fantasy cartoon, flowers, swirls, pearls, woodland, mushrooms, cute fantasy fairy butterflies, cute fairy birds, water lilies, elf, elves, roses, peonies, dandelions, fairy woodland, forest, cute, fantasy, swirl, fairy flowers, fairy mushrooms, fairy trees, meadow, field, lanterns, candles, light, lake, water, raindrops, waterstream, soap bubbles, huge mushrooms, houses, huts, fantasy fairy girls, people, humans, lampposts, lamp posts, water fountain, fairyland portal, portal to fairyland, huge mushrooms, subsurface scattering, ultra hd, 4k, high def, Photorealistic, Hyperrealistic, Hyper detailed, analog style, realistic, masterpiece, best quality, ultra realistic, 8k, Intricate, High Detail, film photography, soft lighting, heavy shadow
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
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
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2381198839
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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)
BadDream.pt
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/2d4baa2203b64fce8c002996e5b90176/00000-2381198839.webp
https://files.tungsten.run/uploads/374f8327445648a6badc3a1427e9d13f/00001-2381198840.webp
https://files.tungsten.run/uploads/3468d080a3224235b13dc476e7c1e31c/00002-2381198841.webp
https://files.tungsten.run/uploads/41bf2246e5a945d5a736c70c35d443d5/00003-2381198842.webp
Finished in 79.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: trending on Artstation, cute fantasy highly detailed, surrealistic, birds, butterflies, cute fantasy cartoon, flowers, swirls, pearls, woodland, mushrooms, cute fantasy fairy butterflies, cute fairy birds, water lilies, elf, elves, roses, peonies, dandelions, fairy woodland, forest, cute, fantasy, swirl, fairy flowers, fairy mushrooms, fairy trees, meadow, field, lanterns, candles, light, lake, water, raindrops, waterstream, soap bubbles, huge mushrooms, houses, huts, fantasy fairy girls, people, humans, lampposts, lamp posts, water fountain, fairyland portal, portal to fairyland, huge mushrooms, subsurface scattering, ultra hd, 4k, high def, Photorealistic, Hyperrealistic, Hyper detailed, analog style, realistic, masterpiece, best quality, ultra realistic, 8k, Intricate, High Detail, film photography, soft lighting, heavy shadow, <lora:add_saturation:1.0> Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:48, 1.68s/it] 7%|▋ | 2/30 [00:03<00:50, 1.80s/it] 10%|█ | 3/30 [00:05<00:48, 1.78s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.75s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.78s/it] 20%|██ | 6/30 [00:10<00:42, 1.77s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.76s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.76s/it] 30%|███ | 9/30 [00:15<00:36, 1.72s/it] 33%|███▎ | 10/30 [00:17<00:34, 1.75s/it] 37%|███▋ | 11/30 [00:19<00:32, 1.72s/it] 40%|████ | 12/30 [00:20<00:31, 1.72s/it] 43%|████▎ | 13/30 [00:22<00:28, 1.70s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.70s/it] 50%|█████ | 15/30 [00:26<00:25, 1.71s/it] 53%|█████▎ | 16/30 [00:27<00:23, 1.69s/it] 57%|█████▋ | 17/30 [00:29<00:21, 1.67s/it] 60%|██████ | 18/30 [00:30<00:20, 1.67s/it] 63%|██████▎ | 19/30 [00:32<00:18, 1.66s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.70s/it] 70%|███████ | 21/30 [00:35<00:15, 1.67s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.60s/it] 77%|███████▋ | 23/30 [00:38<00:11, 1.59s/it] 80%|████████ | 24/30 [00:40<00:09, 1.58s/it] 83%|████████▎ | 25/30 [00:42<00:08, 1.62s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.60s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.63s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.58s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.15s/it] 100%|██████████| 30/30 [00:48<00:00, 1.62s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 24.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.58it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.93it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.05it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.08it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.13it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.26it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.25it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.29it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.61it/s] 100%|██████████| 14/14 [00:05<00:00, 3.08it/s] 100%|██████████| 14/14 [00:05<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.6ms Speed: 3.2ms preprocess, 8.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.23it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.21it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.29it/s] 50%|█████ | 7/14 [00:03<00:03, 2.27it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.23it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.18it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.24it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.28it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.25it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.27it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.18it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.21it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.31it/s] 50%|█████ | 7/14 [00:03<00:03, 2.26it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.23it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.25it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.25it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.32it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.63it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 6.6ms Speed: 2.5ms preprocess, 6.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
trending on Artstation, cute fantasy highly detailed, surrealistic, birds, butterflies, cute fantasy cartoon, flowers, swirls, pearls, woodland, mushrooms, cute fantasy fairy butterflies, cute fairy birds, water lilies, elf, elves, roses, peonies, dandelions, fairy woodland, forest, cute, fantasy, swirl, fairy flowers, fairy mushrooms, fairy trees, meadow, field, lanterns, candles, light, lake, water, raindrops, waterstream, soap bubbles, huge mushrooms, houses, huts, fantasy fairy girls, people, humans, lampposts, lamp posts, water fountain, fairyland portal, portal to fairyland, huge mushrooms, subsurface scattering, ultra hd, 4k, high def, Photorealistic, Hyperrealistic, Hyper detailed, analog style, realistic, masterpiece, best quality, ultra realistic, 8k, Intricate, High Detail, film photography, soft lighting, heavy shadow
negative_prompt
Specify things to not see in the output
(worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream
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
1
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2381198839
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.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)
BadDream.pt
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/2d4baa2203b64fce8c002996e5b90176/00000-2381198839.webp
https://files.tungsten.run/uploads/374f8327445648a6badc3a1427e9d13f/00001-2381198840.webp
https://files.tungsten.run/uploads/3468d080a3224235b13dc476e7c1e31c/00002-2381198841.webp
https://files.tungsten.run/uploads/41bf2246e5a945d5a736c70c35d443d5/00003-2381198842.webp
Finished in 79.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: trending on Artstation, cute fantasy highly detailed, surrealistic, birds, butterflies, cute fantasy cartoon, flowers, swirls, pearls, woodland, mushrooms, cute fantasy fairy butterflies, cute fairy birds, water lilies, elf, elves, roses, peonies, dandelions, fairy woodland, forest, cute, fantasy, swirl, fairy flowers, fairy mushrooms, fairy trees, meadow, field, lanterns, candles, light, lake, water, raindrops, waterstream, soap bubbles, huge mushrooms, houses, huts, fantasy fairy girls, people, humans, lampposts, lamp posts, water fountain, fairyland portal, portal to fairyland, huge mushrooms, subsurface scattering, ultra hd, 4k, high def, Photorealistic, Hyperrealistic, Hyper detailed, analog style, realistic, masterpiece, best quality, ultra realistic, 8k, Intricate, High Detail, film photography, soft lighting, heavy shadow, <lora:add_saturation:1.0> Full negative prompt: (worst quality:1.4), (low quality:1.4), (normal quality, sketch:1.3), lowres, watermark, (jpeg-artifacts:1.33), asian, fake breasts, baddream 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:48, 1.68s/it] 7%|▋ | 2/30 [00:03<00:50, 1.80s/it] 10%|█ | 3/30 [00:05<00:48, 1.78s/it] 13%|█▎ | 4/30 [00:07<00:45, 1.75s/it] 17%|█▋ | 5/30 [00:08<00:44, 1.78s/it] 20%|██ | 6/30 [00:10<00:42, 1.77s/it] 23%|██▎ | 7/30 [00:12<00:40, 1.76s/it] 27%|██▋ | 8/30 [00:14<00:38, 1.76s/it] 30%|███ | 9/30 [00:15<00:36, 1.72s/it] 33%|███▎ | 10/30 [00:17<00:34, 1.75s/it] 37%|███▋ | 11/30 [00:19<00:32, 1.72s/it] 40%|████ | 12/30 [00:20<00:31, 1.72s/it] 43%|████▎ | 13/30 [00:22<00:28, 1.70s/it] 47%|████▋ | 14/30 [00:24<00:27, 1.70s/it] 50%|█████ | 15/30 [00:26<00:25, 1.71s/it] 53%|█████▎ | 16/30 [00:27<00:23, 1.69s/it] 57%|█████▋ | 17/30 [00:29<00:21, 1.67s/it] 60%|██████ | 18/30 [00:30<00:20, 1.67s/it] 63%|██████▎ | 19/30 [00:32<00:18, 1.66s/it] 67%|██████▋ | 20/30 [00:34<00:16, 1.70s/it] 70%|███████ | 21/30 [00:35<00:15, 1.67s/it] 73%|███████▎ | 22/30 [00:37<00:12, 1.60s/it] 77%|███████▋ | 23/30 [00:38<00:11, 1.59s/it] 80%|████████ | 24/30 [00:40<00:09, 1.58s/it] 83%|████████▎ | 25/30 [00:42<00:08, 1.62s/it] 87%|████████▋ | 26/30 [00:43<00:06, 1.60s/it] 90%|█████████ | 27/30 [00:45<00:04, 1.63s/it] 93%|█████████▎| 28/30 [00:46<00:03, 1.58s/it] 97%|█████████▋| 29/30 [00:47<00:01, 1.37s/it] 100%|██████████| 30/30 [00:48<00:00, 1.15s/it] 100%|██████████| 30/30 [00:48<00:00, 1.62s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 24.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.58it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.93it/s] 21%|██▏ | 3/14 [00:01<00:05, 2.05it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.08it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.13it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.21it/s] 50%|█████ | 7/14 [00:03<00:03, 2.26it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.25it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.28it/s] 79%|███████▊ | 11/14 [00:05<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.29it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.61it/s] 100%|██████████| 14/14 [00:05<00:00, 3.08it/s] 100%|██████████| 14/14 [00:05<00:00, 2.36it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 8.6ms Speed: 3.2ms preprocess, 8.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.23it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.19it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.23it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.16it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.21it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.29it/s] 50%|█████ | 7/14 [00:03<00:03, 2.27it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.23it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.18it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.24it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.23it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.28it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.57it/s] 100%|██████████| 14/14 [00:05<00:00, 3.04it/s] 100%|██████████| 14/14 [00:05<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 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%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:05, 2.25it/s] 14%|█▍ | 2/14 [00:00<00:05, 2.24it/s] 21%|██▏ | 3/14 [00:01<00:04, 2.27it/s] 29%|██▊ | 4/14 [00:01<00:04, 2.18it/s] 36%|███▌ | 5/14 [00:02<00:04, 2.21it/s] 43%|████▎ | 6/14 [00:02<00:03, 2.31it/s] 50%|█████ | 7/14 [00:03<00:03, 2.26it/s] 57%|█████▋ | 8/14 [00:03<00:02, 2.29it/s] 64%|██████▍ | 9/14 [00:04<00:02, 2.23it/s] 71%|███████▏ | 10/14 [00:04<00:01, 2.25it/s] 79%|███████▊ | 11/14 [00:04<00:01, 2.25it/s] 86%|████████▌ | 12/14 [00:05<00:00, 2.32it/s] 93%|█████████▎| 13/14 [00:05<00:00, 2.63it/s] 100%|██████████| 14/14 [00:05<00:00, 3.09it/s] 100%|██████████| 14/14 [00:05<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 6.6ms Speed: 2.5ms preprocess, 6.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 6.8ms Speed: 2.6ms preprocess, 6.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.