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Medieval Village with Landscape Bing
landscape-bing:v1.0
evevalentine2017
evevalentine2017
·
Jan 16
363
Input
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, best quality, masterpiece, highly detailed, ultra-detailed, <lora:neg4all_bdsqlsz_V3.5:-1>, (medieval Germany village:1.3), scenery, cityscape, <lora:German_architecture_last:1>, cinematic still, emotional, harmonious, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, breathtaking, award-winning photo, professional, highly detailed, <lora:add_detail:0.7>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000
num_outputs
Number of output images
4
width
Output image width
1024
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
0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3437863337
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
30
cfg_scale
Scale for classifier-free guidance
8.5
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>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
German_architecture_last.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-image-v2-39000.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/a152369ab9164eccad72ae83abb7794b/00000-3437863337.webp
https://files.tungsten.run/uploads/55d9e85f447a401998f291fdf6b2b479/00001-3437863338.webp
https://files.tungsten.run/uploads/1e29376b439448d89cf68840c9b6d89a/00002-3437863339.webp
https://files.tungsten.run/uploads/04f0c943ff5149bf8498ce1eff3445ae/00003-3437863340.webp
Finished in 99.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: masterpiece, best quality, absurdres, best quality, masterpiece, highly detailed, ultra-detailed, <lora:neg4all_bdsqlsz_V3.5:-1>, (medieval Germany village:1.3), scenery, cityscape, <lora:German_architecture_last:1>, cinematic still, emotional, harmonious, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, breathtaking, award-winning photo, professional, highly detailed, <lora:epiCRealismHelper:1>, <lora:add_saturation:0.3> Full negative prompt: bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000 Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:04, 2.22s/it] 7%|▋ | 2/30 [00:04<01:02, 2.24s/it] 10%|█ | 3/30 [00:06<01:01, 2.27s/it] 13%|█▎ | 4/30 [00:09<01:00, 2.31s/it] 17%|█▋ | 5/30 [00:11<00:59, 2.37s/it] 20%|██ | 6/30 [00:14<00:56, 2.37s/it] 23%|██▎ | 7/30 [00:16<00:53, 2.33s/it] 27%|██▋ | 8/30 [00:18<00:51, 2.33s/it] 30%|███ | 9/30 [00:21<00:49, 2.36s/it] 33%|███▎ | 10/30 [00:23<00:47, 2.36s/it] 37%|███▋ | 11/30 [00:25<00:44, 2.35s/it] 40%|████ | 12/30 [00:27<00:41, 2.33s/it] 43%|████▎ | 13/30 [00:30<00:39, 2.33s/it] 47%|████▋ | 14/30 [00:32<00:35, 2.23s/it] 50%|█████ | 15/30 [00:34<00:32, 2.18s/it] 53%|█████▎ | 16/30 [00:36<00:29, 2.12s/it] 57%|█████▋ | 17/30 [00:38<00:27, 2.11s/it] 60%|██████ | 18/30 [00:40<00:25, 2.13s/it] 63%|██████▎ | 19/30 [00:42<00:23, 2.12s/it] 67%|██████▋ | 20/30 [00:44<00:21, 2.16s/it] 70%|███████ | 21/30 [00:47<00:19, 2.13s/it] 73%|███████▎ | 22/30 [00:49<00:17, 2.15s/it] 77%|███████▋ | 23/30 [00:51<00:14, 2.07s/it] 80%|████████ | 24/30 [00:53<00:12, 2.02s/it] 83%|████████▎ | 25/30 [00:55<00:10, 2.02s/it] 87%|████████▋ | 26/30 [00:57<00:08, 2.05s/it] 90%|█████████ | 27/30 [00:59<00:06, 2.05s/it] 93%|█████████▎| 28/30 [01:01<00:04, 2.03s/it] 97%|█████████▋| 29/30 [01:02<00:01, 1.80s/it] 100%|██████████| 30/30 [01:03<00:00, 1.52s/it] 100%|██████████| 30/30 [01:03<00:00, 2.11s/it] Decoding latents in cuda:0... done in 1.28s Move latents to cpu... done in 0.03s 0: 480x640 1 face, 158.9ms Speed: 2.5ms preprocess, 158.9ms inference, 3.0ms postprocess per image at shape (1, 3, 480, 640) Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:09, 1.39it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.61it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.73it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.74it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.80it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.81it/s] 50%|█████ | 7/14 [00:03<00:03, 1.92it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.98it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.97it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.93it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.94it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.95it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.21it/s] 100%|██████████| 14/14 [00:06<00:00, 2.61it/s] 100%|██████████| 14/14 [00:06<00:00, 2.01it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 101.5ms Speed: 2.3ms preprocess, 101.5ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 (no detections), 7.7ms Speed: 2.1ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 7.5ms Speed: 2.1ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 (no detections), 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 480x640 1 hand, 7.6ms Speed: 2.2ms preprocess, 7.6ms inference, 9.5ms postprocess per image at shape (1, 3, 480, 640) Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.83it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.82it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.85it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.79it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.83it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.82it/s] 50%|█████ | 7/14 [00:03<00:03, 1.93it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.99it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.98it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.93it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.93it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.95it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.21it/s] 100%|██████████| 14/14 [00:06<00:00, 2.61it/s] 100%|██████████| 14/14 [00:06<00:00, 2.05it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.8ms Speed: 2.5ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 480x640 1 hand, 7.6ms Speed: 2.2ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.83it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.83it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.86it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.82it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.84it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.81it/s] 50%|█████ | 7/14 [00:03<00:03, 1.92it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.97it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.96it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.80it/s] 79%|███████▊ | 11/14 [00:06<00:01, 1.70it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.78it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.04it/s] 100%|██████████| 14/14 [00:07<00:00, 2.43it/s] 100%|██████████| 14/14 [00:07<00:00, 1.97it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
masterpiece, best quality, absurdres, best quality, masterpiece, highly detailed, ultra-detailed, <lora:neg4all_bdsqlsz_V3.5:-1>, (medieval Germany village:1.3), scenery, cityscape, <lora:German_architecture_last:1>, cinematic still, emotional, harmonious, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, breathtaking, award-winning photo, professional, highly detailed, <lora:add_detail:0.7>, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000
num_outputs
Number of output images
4
width
Output image width
1024
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
0.3
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3437863337
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
30
cfg_scale
Scale for classifier-free guidance
8.5
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>
add_detail.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.safetensors
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
German_architecture_last.safetensors
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-image-v2-39000.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/a152369ab9164eccad72ae83abb7794b/00000-3437863337.webp
https://files.tungsten.run/uploads/55d9e85f447a401998f291fdf6b2b479/00001-3437863338.webp
https://files.tungsten.run/uploads/1e29376b439448d89cf68840c9b6d89a/00002-3437863339.webp
https://files.tungsten.run/uploads/04f0c943ff5149bf8498ce1eff3445ae/00003-3437863340.webp
Finished in 99.2 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: masterpiece, best quality, absurdres, best quality, masterpiece, highly detailed, ultra-detailed, <lora:neg4all_bdsqlsz_V3.5:-1>, (medieval Germany village:1.3), scenery, cityscape, <lora:German_architecture_last:1>, cinematic still, emotional, harmonious, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, breathtaking, award-winning photo, professional, highly detailed, <lora:epiCRealismHelper:1>, <lora:add_saturation:0.3> Full negative prompt: bad-picture-chill-75v, realisticvision-negative-embedding, bad-image-v2-39000 Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:04, 2.22s/it] 7%|▋ | 2/30 [00:04<01:02, 2.24s/it] 10%|█ | 3/30 [00:06<01:01, 2.27s/it] 13%|█▎ | 4/30 [00:09<01:00, 2.31s/it] 17%|█▋ | 5/30 [00:11<00:59, 2.37s/it] 20%|██ | 6/30 [00:14<00:56, 2.37s/it] 23%|██▎ | 7/30 [00:16<00:53, 2.33s/it] 27%|██▋ | 8/30 [00:18<00:51, 2.33s/it] 30%|███ | 9/30 [00:21<00:49, 2.36s/it] 33%|███▎ | 10/30 [00:23<00:47, 2.36s/it] 37%|███▋ | 11/30 [00:25<00:44, 2.35s/it] 40%|████ | 12/30 [00:27<00:41, 2.33s/it] 43%|████▎ | 13/30 [00:30<00:39, 2.33s/it] 47%|████▋ | 14/30 [00:32<00:35, 2.23s/it] 50%|█████ | 15/30 [00:34<00:32, 2.18s/it] 53%|█████▎ | 16/30 [00:36<00:29, 2.12s/it] 57%|█████▋ | 17/30 [00:38<00:27, 2.11s/it] 60%|██████ | 18/30 [00:40<00:25, 2.13s/it] 63%|██████▎ | 19/30 [00:42<00:23, 2.12s/it] 67%|██████▋ | 20/30 [00:44<00:21, 2.16s/it] 70%|███████ | 21/30 [00:47<00:19, 2.13s/it] 73%|███████▎ | 22/30 [00:49<00:17, 2.15s/it] 77%|███████▋ | 23/30 [00:51<00:14, 2.07s/it] 80%|████████ | 24/30 [00:53<00:12, 2.02s/it] 83%|████████▎ | 25/30 [00:55<00:10, 2.02s/it] 87%|████████▋ | 26/30 [00:57<00:08, 2.05s/it] 90%|█████████ | 27/30 [00:59<00:06, 2.05s/it] 93%|█████████▎| 28/30 [01:01<00:04, 2.03s/it] 97%|█████████▋| 29/30 [01:02<00:01, 1.80s/it] 100%|██████████| 30/30 [01:03<00:00, 1.52s/it] 100%|██████████| 30/30 [01:03<00:00, 2.11s/it] Decoding latents in cuda:0... done in 1.28s Move latents to cpu... done in 0.03s 0: 480x640 1 face, 158.9ms Speed: 2.5ms preprocess, 158.9ms inference, 3.0ms postprocess per image at shape (1, 3, 480, 640) Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:09, 1.39it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.61it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.73it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.74it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.80it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.81it/s] 50%|█████ | 7/14 [00:03<00:03, 1.92it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.98it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.97it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.93it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.94it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.95it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.21it/s] 100%|██████████| 14/14 [00:06<00:00, 2.61it/s] 100%|██████████| 14/14 [00:06<00:00, 2.01it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 101.5ms Speed: 2.3ms preprocess, 101.5ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 480x640 (no detections), 7.7ms Speed: 2.1ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 7.5ms Speed: 2.1ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 480x640 (no detections), 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 480x640 1 hand, 7.6ms Speed: 2.2ms preprocess, 7.6ms inference, 9.5ms postprocess per image at shape (1, 3, 480, 640) Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.83it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.82it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.85it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.79it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.83it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.82it/s] 50%|█████ | 7/14 [00:03<00:03, 1.93it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.99it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.98it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.93it/s] 79%|███████▊ | 11/14 [00:05<00:01, 1.93it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.95it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.21it/s] 100%|██████████| 14/14 [00:06<00:00, 2.61it/s] 100%|██████████| 14/14 [00:06<00:00, 2.05it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s 0: 480x640 (no detections), 7.8ms Speed: 2.5ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 480x640 1 hand, 7.6ms Speed: 2.2ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 480, 640) Couldn't find network with name neg4all_bdsqlsz_V3.5 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.83it/s] 14%|█▍ | 2/14 [00:01<00:06, 1.83it/s] 21%|██▏ | 3/14 [00:01<00:05, 1.86it/s] 29%|██▊ | 4/14 [00:02<00:05, 1.82it/s] 36%|███▌ | 5/14 [00:02<00:04, 1.84it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.81it/s] 50%|█████ | 7/14 [00:03<00:03, 1.92it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.97it/s] 64%|██████▍ | 9/14 [00:04<00:02, 1.96it/s] 71%|███████▏ | 10/14 [00:05<00:02, 1.80it/s] 79%|███████▊ | 11/14 [00:06<00:01, 1.70it/s] 86%|████████▌ | 12/14 [00:06<00:01, 1.78it/s] 93%|█████████▎| 13/14 [00:06<00:00, 2.04it/s] 100%|██████████| 14/14 [00:07<00:00, 2.43it/s] 100%|██████████| 14/14 [00:07<00:00, 1.97it/s] Decoding latents in cuda:0... done in 0.31s Move latents to cpu... done in 0.0s Uploading outputs... Finished.