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After the Zombie Outbreak with Mix Fantasy
mix-fantasy:v3.0
evevalentine2017
evevalentine2017
·
12/12/2023
362
Input
prompt
Specify things to see in the output
1 girl, Blood Mist, despair, torn clothes, crying with eyes open, solo, Blood Rain, bandages, Gunpowder smoke, beautiful detailed shadow, Splashing blood, dust, tyndall effect, rubble_ruins, remains, wind, floating hair, volumetric lighting, cinematography, bonfire, against the wall, red eyes, full body, red hair, fanny pack, gold lighting, sunset, golden hour of illumination, standing, leaning_back, profile, <lora: more_details: 0.8>,
negative_prompt
Specify things to not see in the output
(more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), negative_hand-neg
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
408756038
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
9
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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)
negative_hand-neg.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/9b571cf94da442ac8936ebfe341e20ab/00000-408756038.webp
https://files.tungsten.run/uploads/e63996d679144e828bae9dcd93597799/00001-408756039.webp
https://files.tungsten.run/uploads/911d2f12016046cd8ecc35e12b7d5fcd/00002-408756040.webp
https://files.tungsten.run/uploads/e0d7975a8abb4ad9b083c874bf3f0dba/00003-408756041.webp
Finished in 84.6 seconds
v3.0: Pulling from evevalentine2017/mix-fantasy 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 688188af0ba0: Pull complete c8389b9d9270: Pull complete 9221a4a9aae3: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1 girl, Blood Mist, despair, torn clothes, crying with eyes open, solo, Blood Rain, bandages, Gunpowder smoke, beautiful detailed shadow, Splashing blood, dust, tyndall effect, rubble_ruins, remains, wind, floating hair, volumetric lighting, cinematography, bonfire, against the wall, red eyes, full body, red hair, fanny pack, gold lighting, sunset, golden hour of illumination, standing, leaning_back, profile, <lora: more_details: 0.8>,, <lora:add_detail:0.1> Full negative prompt: (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), negative_hand-neg Couldn't find network with name more_details 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.29s/it] 7%|▋ | 2/30 [00:01<00:25, 1.11it/s] 10%|█ | 3/30 [00:02<00:20, 1.29it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.39it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.48it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.52it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.54it/s] 30%|███ | 9/30 [00:06<00:13, 1.56it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.57it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.57it/s] 40%|████ | 12/30 [00:08<00:11, 1.58it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.58it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.58it/s] 50%|█████ | 15/30 [00:10<00:09, 1.58it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.59it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.59it/s] 60%|██████ | 18/30 [00:12<00:07, 1.59it/s] 63%|██████▎ | 19/30 [00:12<00:06, 1.58it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.58it/s] 70%|███████ | 21/30 [00:13<00:05, 1.59it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.59it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.59it/s] 80%|████████ | 24/30 [00:15<00:03, 1.59it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.59it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.59it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.59it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.59it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.59it/s] 100%|██████████| 30/30 [00:19<00:00, 1.60it/s] 100%|██████████| 30/30 [00:19<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 4.9ms preprocess, 8.0ms inference, 48.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:04, 3.30it/s] 18%|█▊ | 3/17 [00:00<00:03, 3.79it/s] 24%|██▎ | 4/17 [00:01<00:03, 4.02it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.27it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.41it/s] 41%|████ | 7/17 [00:01<00:02, 4.46it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.52it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.56it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.62it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.66it/s] 71%|███████ | 12/17 [00:02<00:01, 4.70it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.66it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.71it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.74it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.70it/s] 100%|██████████| 17/17 [00:03<00:00, 4.75it/s] 100%|██████████| 17/17 [00:03<00:00, 4.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.32it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.60it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.68it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.73it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.77it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.70it/s] 41%|████ | 7/17 [00:01<00:02, 4.70it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.70it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.74it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.76it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.67it/s] 71%|███████ | 12/17 [00:02<00:01, 4.69it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.71it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.71it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.57it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.60it/s] 100%|██████████| 17/17 [00:03<00:00, 4.70it/s] 100%|██████████| 17/17 [00:03<00:00, 4.68it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.8ms Speed: 3.5ms preprocess, 8.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.84it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.86it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.61it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.69it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.73it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.73it/s] 41%|████ | 7/17 [00:01<00:02, 4.76it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.61it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.65it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.55it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.60it/s] 71%|███████ | 12/17 [00:02<00:01, 4.64it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.50it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.58it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.62it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.65it/s] 100%|██████████| 17/17 [00:03<00:00, 4.65it/s] 100%|██████████| 17/17 [00:03<00:00, 4.65it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.21s 0: 640x640 2 hands, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.76it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.79it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.81it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.59it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.69it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.75it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.79it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.74it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.74it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.75it/s] 71%|███████ | 12/17 [00:02<00:01, 4.76it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.71it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.68it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.71it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.73it/s] 100%|██████████| 17/17 [00:03<00:00, 4.79it/s] 100%|██████████| 17/17 [00:03<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.72it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.77it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.66it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.68it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.72it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.75it/s] 41%|████ | 7/17 [00:01<00:02, 4.71it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.62it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.67it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.70it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.75it/s] 71%|███████ | 12/17 [00:02<00:01, 4.75it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.63it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.61it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.60it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.67it/s] 100%|██████████| 17/17 [00:03<00:00, 4.67it/s] 100%|██████████| 17/17 [00:03<00:00, 4.68it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.73it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.71it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.71it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.65it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.69it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.76it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.79it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.65it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.67it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.70it/s] 71%|███████ | 12/17 [00:02<00:01, 4.72it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.72it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.62it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.66it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.76it/s] 100%|██████████| 17/17 [00:03<00:00, 4.71it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.69it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.73it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.76it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.73it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.63it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.66it/s] 41%|████ | 7/17 [00:01<00:02, 4.65it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.69it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.68it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.51it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.29it/s] 71%|███████ | 12/17 [00:02<00:01, 4.41it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.50it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.48it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.53it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.58it/s] 100%|██████████| 17/17 [00:03<00:00, 4.64it/s] 100%|██████████| 17/17 [00:03<00:00, 4.59it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.68it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.68it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.70it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.58it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.61it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.65it/s] 41%|████ | 7/17 [00:01<00:02, 4.61it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.57it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.60it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.64it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.67it/s] 71%|███████ | 12/17 [00:02<00:01, 4.69it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.60it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.63it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.67it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.68it/s] 100%|██████████| 17/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.65it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.56it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.65it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.59it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.63it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.61it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.65it/s] 41%|████ | 7/17 [00:01<00:02, 4.42it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.49it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.56it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.61it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.61it/s] 71%|███████ | 12/17 [00:02<00:01, 4.51it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.56it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.59it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.61it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.65it/s] 100%|██████████| 17/17 [00:03<00:00, 4.62it/s] 100%|██████████| 17/17 [00:03<00:00, 4.59it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 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0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.34it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.48it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.60it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.64it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.53it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.60it/s] 41%|████ | 7/17 [00:01<00:02, 4.65it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.68it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.69it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.66it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.68it/s] 71%|███████ | 12/17 [00:02<00:01, 4.71it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.70it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.70it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.65it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.72it/s] 100%|██████████| 17/17 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
1 girl, Blood Mist, despair, torn clothes, crying with eyes open, solo, Blood Rain, bandages, Gunpowder smoke, beautiful detailed shadow, Splashing blood, dust, tyndall effect, rubble_ruins, remains, wind, floating hair, volumetric lighting, cinematography, bonfire, against the wall, red eyes, full body, red hair, fanny pack, gold lighting, sunset, golden hour of illumination, standing, leaning_back, profile, <lora: more_details: 0.8>,
negative_prompt
Specify things to not see in the output
(more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), negative_hand-neg
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0.1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
408756038
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
9
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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)
negative_hand-neg.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/9b571cf94da442ac8936ebfe341e20ab/00000-408756038.webp
https://files.tungsten.run/uploads/e63996d679144e828bae9dcd93597799/00001-408756039.webp
https://files.tungsten.run/uploads/911d2f12016046cd8ecc35e12b7d5fcd/00002-408756040.webp
https://files.tungsten.run/uploads/e0d7975a8abb4ad9b083c874bf3f0dba/00003-408756041.webp
Finished in 84.6 seconds
v3.0: Pulling from evevalentine2017/mix-fantasy 578acb154839: Already exists ac65017cfc56: Already exists 146269b80f9c: Already exists b51bc62cc3ca: Already exists 4ba34dd48a55: Already exists 2c0d7edf2b4f: Already exists bd3aa092d934: Already exists a2a0b079260c: Already exists 48e8a1cea0b1: Already exists 607175607db9: Already exists 44762e60be28: Already exists d1e8a6995bc7: Already exists 8915fc22d7d8: Already exists e186b03af121: Already exists 4f4fb700ef54: Already exists 030de23c0760: Already exists 688188af0ba0: Pull complete c8389b9d9270: Pull complete 9221a4a9aae3: Pull complete Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: 1 girl, Blood Mist, despair, torn clothes, crying with eyes open, solo, Blood Rain, bandages, Gunpowder smoke, beautiful detailed shadow, Splashing blood, dust, tyndall effect, rubble_ruins, remains, wind, floating hair, volumetric lighting, cinematography, bonfire, against the wall, red eyes, full body, red hair, fanny pack, gold lighting, sunset, golden hour of illumination, standing, leaning_back, profile, <lora: more_details: 0.8>,, <lora:add_detail:0.1> Full negative prompt: (more than 2 arms), (more than 2 legs), (more than 2 hands), (more than 2 feet), (worst quality:1.5), (low quality:1.5), (normal quality:1.5), lowres, bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), negative_hand-neg Couldn't find network with name more_details 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.29s/it] 7%|▋ | 2/30 [00:01<00:25, 1.11it/s] 10%|█ | 3/30 [00:02<00:20, 1.29it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.39it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.48it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.52it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.54it/s] 30%|███ | 9/30 [00:06<00:13, 1.56it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.57it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.57it/s] 40%|████ | 12/30 [00:08<00:11, 1.58it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.58it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.58it/s] 50%|█████ | 15/30 [00:10<00:09, 1.58it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.59it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.59it/s] 60%|██████ | 18/30 [00:12<00:07, 1.59it/s] 63%|██████▎ | 19/30 [00:12<00:06, 1.58it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.58it/s] 70%|███████ | 21/30 [00:13<00:05, 1.59it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.59it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.59it/s] 80%|████████ | 24/30 [00:15<00:03, 1.59it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.59it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.59it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.59it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.59it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.59it/s] 100%|██████████| 30/30 [00:19<00:00, 1.60it/s] 100%|██████████| 30/30 [00:19<00:00, 1.53it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 8.0ms Speed: 4.9ms preprocess, 8.0ms inference, 48.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.34it/s] 12%|█▏ | 2/17 [00:00<00:04, 3.30it/s] 18%|█▊ | 3/17 [00:00<00:03, 3.79it/s] 24%|██▎ | 4/17 [00:01<00:03, 4.02it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.27it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.41it/s] 41%|████ | 7/17 [00:01<00:02, 4.46it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.52it/s] 53%|█████▎ | 9/17 [00:02<00:01, 4.56it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.62it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.66it/s] 71%|███████ | 12/17 [00:02<00:01, 4.70it/s] 76%|███████▋ | 13/17 [00:03<00:00, 4.66it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.71it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.74it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.70it/s] 100%|██████████| 17/17 [00:03<00:00, 4.75it/s] 100%|██████████| 17/17 [00:03<00:00, 4.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.01s 0: 640x640 1 hand, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.32it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.60it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.68it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.73it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.77it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.70it/s] 41%|████ | 7/17 [00:01<00:02, 4.70it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.70it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.74it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.76it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.67it/s] 71%|███████ | 12/17 [00:02<00:01, 4.69it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.71it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.71it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.57it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.60it/s] 100%|██████████| 17/17 [00:03<00:00, 4.70it/s] 100%|██████████| 17/17 [00:03<00:00, 4.68it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.8ms Speed: 3.5ms preprocess, 8.8ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.84it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.86it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.61it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.69it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.73it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.73it/s] 41%|████ | 7/17 [00:01<00:02, 4.76it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.61it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.65it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.55it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.60it/s] 71%|███████ | 12/17 [00:02<00:01, 4.64it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.50it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.58it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.62it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.65it/s] 100%|██████████| 17/17 [00:03<00:00, 4.65it/s] 100%|██████████| 17/17 [00:03<00:00, 4.65it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 0.45s Move latents to cpu... done in 0.21s 0: 640x640 2 hands, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.76it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.79it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.81it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.59it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.69it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.75it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.79it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.74it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.74it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.75it/s] 71%|███████ | 12/17 [00:02<00:01, 4.76it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.71it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.68it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.71it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.73it/s] 100%|██████████| 17/17 [00:03<00:00, 4.79it/s] 100%|██████████| 17/17 [00:03<00:00, 4.74it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.72it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.77it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.66it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.68it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.72it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.75it/s] 41%|████ | 7/17 [00:01<00:02, 4.71it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.62it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.67it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.70it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.75it/s] 71%|███████ | 12/17 [00:02<00:01, 4.75it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.63it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.61it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.60it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.67it/s] 100%|██████████| 17/17 [00:03<00:00, 4.67it/s] 100%|██████████| 17/17 [00:03<00:00, 4.68it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.2ms preprocess, 7.9ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.73it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.71it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.71it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.65it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.69it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.76it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.79it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.65it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.67it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.70it/s] 71%|███████ | 12/17 [00:02<00:01, 4.72it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.72it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.62it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.66it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.76it/s] 100%|██████████| 17/17 [00:03<00:00, 4.71it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 3 hands, 7.8ms Speed: 3.2ms preprocess, 7.8ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.69it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.73it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.76it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.73it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.63it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.66it/s] 41%|████ | 7/17 [00:01<00:02, 4.65it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.69it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.68it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.51it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.29it/s] 71%|███████ | 12/17 [00:02<00:01, 4.41it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.50it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.48it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.53it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.58it/s] 100%|██████████| 17/17 [00:03<00:00, 4.64it/s] 100%|██████████| 17/17 [00:03<00:00, 4.59it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.68it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.68it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.70it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.58it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.61it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.65it/s] 41%|████ | 7/17 [00:01<00:02, 4.61it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.57it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.60it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.64it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.67it/s] 71%|███████ | 12/17 [00:02<00:01, 4.69it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.60it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.63it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.67it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.68it/s] 100%|██████████| 17/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.65it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.56it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.65it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.59it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.63it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.61it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.65it/s] 41%|████ | 7/17 [00:01<00:02, 4.42it/s] 47%|████▋ | 8/17 [00:01<00:02, 4.49it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.56it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.61it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.61it/s] 71%|███████ | 12/17 [00:02<00:01, 4.51it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.56it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.59it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.61it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.65it/s] 100%|██████████| 17/17 [00:03<00:00, 4.62it/s] 100%|██████████| 17/17 [00:03<00:00, 4.59it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.0ms Speed: 3.2ms preprocess, 8.0ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.72it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.70it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.68it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.66it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.70it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.74it/s] 41%|████ | 7/17 [00:01<00:02, 4.74it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.63it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.64it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.67it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.66it/s] 71%|███████ | 12/17 [00:02<00:01, 4.67it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.56it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.62it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.67it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.60it/s] 100%|██████████| 17/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 2.1ms postprocess per image at shape (1, 3, 640, 640) Couldn't find network with name more_details 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.34it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.48it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.60it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.64it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.53it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.60it/s] 41%|████ | 7/17 [00:01<00:02, 4.65it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.68it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.69it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.66it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.68it/s] 71%|███████ | 12/17 [00:02<00:01, 4.71it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.70it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.70it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.65it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.69it/s] 100%|██████████| 17/17 [00:03<00:00, 4.72it/s] 100%|██████████| 17/17 [00:03<00:00, 4.66it/s] Decoding latents in cuda:0... done in 0.4s Move latents to cpu... done in 0.0s Finished.