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Unearthed, Broken, Co
truality-engine:v3.0
wwwbookafficionado
wwwbookafficionado
·
12/30/2023
381
Input
prompt
Specify things to see in the output
Illustrate the formidable figure of Sunny Smiles, a weathered woman of 50, her striking reddish-amber hair pulled back into a defiant ponytail. The toll of a hard life is etched upon her face, adorned with scars and wrinkles from the unforgiving wasteland. Despite her strength, tears stream down her face, and an air of sorrow surrounds her. In her weathered hands, she clutches a homemade Ak-47 rifle, a symbol of her resilience in the face of adversity. Dressed in ragged clothing, covered in dirt and mud, she stands in a dilapidated warehouse, its walls rotting and floors flooded with sewage water. The dim, eerie lighting casts long shadows, emphasizing the desolation that surrounds her. As Sunny stands on a strategically designed hill, the remnants of a once thriving city stretch out below her. Ruined buildings and scattered debris paint a post-apocalyptic landscape, while the atmosphere is thick with haze, dust, and mist, adding depth and a sense of realism to the scene. The backdrop features a cinematic sunset or sunrise, casting a warm, dramatic glow on the wasteland and enhancing the overall mood. To intensify the composition, focus on Sunny's silhouette against the haunting backdrop. Implement the rule of thirds to create an aesthetically pleasing balance, with the character occupying a prominent position within the frame. The color palette resonates with the Fallout universe—muted tones that evoke the essence of a world scarred by nuclear devastation. Sunny's armor, a pragmatic mix of metal and leather, adds a layer of realism to the scene. Shadows, highlights, and reflections are meticulously detailed, achieving a high level of photorealism. Smoke billows around her, enhancing the cinematic atmosphere, while lightning in the distant backdrop adds a sense of foreboding. This hyper-realistic depiction captures the spirit of Sunny Smiles, a survivor in a harsh world, standing resilient against the ruins of civilization, armed and ready for whatever challenges the wasteland throws her way.
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
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
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1589622146
width
Output image width
512
height
Output image height
768
reference_image
Image that the output should be similar to
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 Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8.7
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)
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/2f1d7b9b1488431ba62f74f9d0012e82/00000-1589622146.png
https://files.tungsten.run/uploads/75b4de6e842d4b15812289d2c5a60ed6/00001-1589622147.png
https://files.tungsten.run/uploads/0c7dd7c8b8484c589102305aa596e53f/00002-1589622148.png
https://files.tungsten.run/uploads/77f1e9ce9c4e468f83c53c85f6f2f073/00003-1589622149.png
Finished in 53.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Illustrate the formidable figure of Sunny Smiles, a weathered woman of 50, her striking reddish-amber hair pulled back into a defiant ponytail. The toll of a hard life is etched upon her face, adorned with scars and wrinkles from the unforgiving wasteland. Despite her strength, tears stream down her face, and an air of sorrow surrounds her. In her weathered hands, she clutches a homemade Ak-47 rifle, a symbol of her resilience in the face of adversity. Dressed in ragged clothing, covered in dirt and mud, she stands in a dilapidated warehouse, its walls rotting and floors flooded with sewage water. The dim, eerie lighting casts long shadows, emphasizing the desolation that surrounds her. As Sunny stands on a strategically designed hill, the remnants of a once thriving city stretch out below her. Ruined buildings and scattered debris paint a post-apocalyptic landscape, while the atmosphere is thick with haze, dust, and mist, adding depth and a sense of realism to the scene. The backdrop features a cinematic sunset or sunrise, casting a warm, dramatic glow on the wasteland and enhancing the overall mood. To intensify the composition, focus on Sunny's silhouette against the haunting backdrop. Implement the rule of thirds to create an aesthetically pleasing balance, with the character occupying a prominent position within the frame. The color palette resonates with the Fallout universe—muted tones that evoke the essence of a world scarred by nuclear devastation. Sunny's armor, a pragmatic mix of metal and leather, adds a layer of realism to the scene. Shadows, highlights, and reflections are meticulously detailed, achieving a high level of photorealism. Smoke billows around her, enhancing the cinematic atmosphere, while lightning in the distant backdrop adds a sense of foreboding. This hyper-realistic depiction captures the spirit of Sunny Smiles, a survivor in a harsh world, standing resilient against the ruins of civilization, armed and ready for whatever challenges the wasteland throws her way., (masterpiece:1.5), (top quality:1.5), (real life photo:1.5), (ultra detailed:1.5), <lora:add_detail:1.0> Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:38, 1.03it/s] 5%|▌ | 2/40 [00:01<00:23, 1.60it/s] 8%|▊ | 3/40 [00:01<00:19, 1.93it/s] 10%|█ | 4/40 [00:02<00:16, 2.14it/s] 12%|█▎ | 5/40 [00:02<00:15, 2.29it/s] 15%|█▌ | 6/40 [00:02<00:14, 2.37it/s] 18%|█▊ | 7/40 [00:03<00:13, 2.44it/s] 20%|██ | 8/40 [00:03<00:12, 2.47it/s] 22%|██▎ | 9/40 [00:04<00:12, 2.50it/s] 25%|██▌ | 10/40 [00:04<00:11, 2.53it/s] 28%|██▊ | 11/40 [00:04<00:11, 2.54it/s] 30%|███ | 12/40 [00:05<00:10, 2.55it/s] 32%|███▎ | 13/40 [00:05<00:10, 2.56it/s] 35%|███▌ | 14/40 [00:06<00:10, 2.56it/s] 38%|███▊ | 15/40 [00:06<00:09, 2.56it/s] 40%|████ | 16/40 [00:06<00:09, 2.56it/s] 42%|████▎ | 17/40 [00:07<00:08, 2.56it/s] 45%|████▌ | 18/40 [00:07<00:08, 2.57it/s] 48%|████▊ | 19/40 [00:07<00:08, 2.56it/s] 50%|█████ | 20/40 [00:08<00:07, 2.57it/s] 52%|█████▎ | 21/40 [00:08<00:07, 2.56it/s] 55%|█████▌ | 22/40 [00:09<00:07, 2.56it/s] 57%|█████▊ | 23/40 [00:09<00:06, 2.56it/s] 60%|██████ | 24/40 [00:09<00:06, 2.57it/s] 62%|██████▎ | 25/40 [00:10<00:05, 2.56it/s] 65%|██████▌ | 26/40 [00:10<00:05, 2.56it/s] 68%|██████▊ | 27/40 [00:11<00:05, 2.56it/s] 70%|███████ | 28/40 [00:11<00:04, 2.56it/s] 72%|███████▎ | 29/40 [00:11<00:04, 2.56it/s] 75%|███████▌ | 30/40 [00:12<00:03, 2.57it/s] 78%|███████▊ | 31/40 [00:12<00:03, 2.56it/s] 80%|████████ | 32/40 [00:13<00:03, 2.56it/s] 82%|████████▎ | 33/40 [00:13<00:02, 2.56it/s] 85%|████████▌ | 34/40 [00:13<00:02, 2.56it/s] 88%|████████▊ | 35/40 [00:14<00:01, 2.56it/s] 90%|█████████ | 36/40 [00:14<00:01, 2.55it/s] 92%|█████████▎| 37/40 [00:14<00:01, 2.55it/s] 95%|█████████▌| 38/40 [00:15<00:00, 2.55it/s] 98%|█████████▊| 39/40 [00:15<00:00, 2.55it/s] 100%|██████████| 40/40 [00:16<00:00, 2.56it/s] 100%|██████████| 40/40 [00:16<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.62s Move latents to cpu... done in 0.01s 0: 640x448 1 face, 158.8ms Speed: 2.1ms preprocess, 158.8ms inference, 30.8ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.46it/s] 9%|▊ | 2/23 [00:00<00:05, 3.60it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.25it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.50it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.71it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.08it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.16it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.24it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.26it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.30it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.23it/s] 61%|██████ | 14/23 [00:02<00:01, 5.27it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.30it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.33it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.35it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.34it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.28it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.29it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.25it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.27it/s] 100%|██████████| 23/23 [00:04<00:00, 5.28it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 1 hand, 99.8ms Speed: 2.0ms preprocess, 99.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.28it/s] 9%|▊ | 2/23 [00:00<00:03, 5.29it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.27it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.30it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.33it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.34it/s] 30%|███ | 7/23 [00:01<00:03, 5.27it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.24it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.20it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.25it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.27it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.31it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.30it/s] 61%|██████ | 14/23 [00:02<00:01, 5.19it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.18it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.17it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.22it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.20it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.23it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.26it/s] 91%|█████████▏| 21/23 [00:03<00:00, 5.26it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.22it/s] 100%|██████████| 23/23 [00:04<00:00, 5.26it/s] 100%|██████████| 23/23 [00:04<00:00, 5.25it/s] Decoding latents in cuda:0... done in 0.14s Move latents to cpu... done in 0.0s 0: 640x448 1 face, 7.5ms Speed: 1.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.22it/s] 9%|▊ | 2/23 [00:00<00:03, 5.27it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.36it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.40it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.39it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.39it/s] 30%|███ | 7/23 [00:01<00:02, 5.39it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.39it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.36it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.35it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.31it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.21it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.22it/s] 61%|██████ | 14/23 [00:02<00:01, 5.17it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.14it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.13it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.16it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.21it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.22it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.21it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.09it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.22it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 8.5ms Speed: 2.0ms preprocess, 8.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.27it/s] 9%|▊ | 2/23 [00:00<00:04, 5.17it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.21it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.27it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.31it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.29it/s] 30%|███ | 7/23 [00:01<00:03, 5.27it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.27it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.20it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.20it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.20it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.17it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.11it/s] 61%|██████ | 14/23 [00:02<00:01, 5.13it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.20it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.24it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.24it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.23it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.26it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.20it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.22it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.20it/s] 100%|██████████| 23/23 [00:04<00:00, 5.20it/s] 100%|██████████| 23/23 [00:04<00:00, 5.22it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.3ms Speed: 1.9ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x448 1 face, 7.4ms Speed: 1.9ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.03it/s] 9%|▊ | 2/23 [00:00<00:04, 5.07it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.14it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.23it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.19it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.22it/s] 30%|███ | 7/23 [00:01<00:03, 5.27it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.30it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.32it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.23it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.24it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.27it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.25it/s] 61%|██████ | 14/23 [00:02<00:01, 5.22it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.18it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.14it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.16it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.23it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.22it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.20it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.25it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.29it/s] 100%|██████████| 23/23 [00:04<00:00, 5.27it/s] 100%|██████████| 23/23 [00:04<00:00, 5.23it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.6ms Speed: 2.0ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Illustrate the formidable figure of Sunny Smiles, a weathered woman of 50, her striking reddish-amber hair pulled back into a defiant ponytail. The toll of a hard life is etched upon her face, adorned with scars and wrinkles from the unforgiving wasteland. Despite her strength, tears stream down her face, and an air of sorrow surrounds her. In her weathered hands, she clutches a homemade Ak-47 rifle, a symbol of her resilience in the face of adversity. Dressed in ragged clothing, covered in dirt and mud, she stands in a dilapidated warehouse, its walls rotting and floors flooded with sewage water. The dim, eerie lighting casts long shadows, emphasizing the desolation that surrounds her. As Sunny stands on a strategically designed hill, the remnants of a once thriving city stretch out below her. Ruined buildings and scattered debris paint a post-apocalyptic landscape, while the atmosphere is thick with haze, dust, and mist, adding depth and a sense of realism to the scene. The backdrop features a cinematic sunset or sunrise, casting a warm, dramatic glow on the wasteland and enhancing the overall mood. To intensify the composition, focus on Sunny's silhouette against the haunting backdrop. Implement the rule of thirds to create an aesthetically pleasing balance, with the character occupying a prominent position within the frame. The color palette resonates with the Fallout universe—muted tones that evoke the essence of a world scarred by nuclear devastation. Sunny's armor, a pragmatic mix of metal and leather, adds a layer of realism to the scene. Shadows, highlights, and reflections are meticulously detailed, achieving a high level of photorealism. Smoke billows around her, enhancing the cinematic atmosphere, while lightning in the distant backdrop adds a sense of foreboding. This hyper-realistic depiction captures the spirit of Sunny Smiles, a survivor in a harsh world, standing resilient against the ruins of civilization, armed and ready for whatever challenges the wasteland throws her way.
negative_prompt
Specify things to not see in the output
(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
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
1
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
num_outputs
Number of output images
4
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1589622146
width
Output image width
512
height
Output image height
768
reference_image
Image that the output should be similar to
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 Karras
samping_steps
Number of denoising steps
40
cfg_scale
Scale for classifier-free guidance
8.7
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)
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/2f1d7b9b1488431ba62f74f9d0012e82/00000-1589622146.png
https://files.tungsten.run/uploads/75b4de6e842d4b15812289d2c5a60ed6/00001-1589622147.png
https://files.tungsten.run/uploads/0c7dd7c8b8484c589102305aa596e53f/00002-1589622148.png
https://files.tungsten.run/uploads/77f1e9ce9c4e468f83c53c85f6f2f073/00003-1589622149.png
Finished in 53.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Illustrate the formidable figure of Sunny Smiles, a weathered woman of 50, her striking reddish-amber hair pulled back into a defiant ponytail. The toll of a hard life is etched upon her face, adorned with scars and wrinkles from the unforgiving wasteland. Despite her strength, tears stream down her face, and an air of sorrow surrounds her. In her weathered hands, she clutches a homemade Ak-47 rifle, a symbol of her resilience in the face of adversity. Dressed in ragged clothing, covered in dirt and mud, she stands in a dilapidated warehouse, its walls rotting and floors flooded with sewage water. The dim, eerie lighting casts long shadows, emphasizing the desolation that surrounds her. As Sunny stands on a strategically designed hill, the remnants of a once thriving city stretch out below her. Ruined buildings and scattered debris paint a post-apocalyptic landscape, while the atmosphere is thick with haze, dust, and mist, adding depth and a sense of realism to the scene. The backdrop features a cinematic sunset or sunrise, casting a warm, dramatic glow on the wasteland and enhancing the overall mood. To intensify the composition, focus on Sunny's silhouette against the haunting backdrop. Implement the rule of thirds to create an aesthetically pleasing balance, with the character occupying a prominent position within the frame. The color palette resonates with the Fallout universe—muted tones that evoke the essence of a world scarred by nuclear devastation. Sunny's armor, a pragmatic mix of metal and leather, adds a layer of realism to the scene. Shadows, highlights, and reflections are meticulously detailed, achieving a high level of photorealism. Smoke billows around her, enhancing the cinematic atmosphere, while lightning in the distant backdrop adds a sense of foreboding. This hyper-realistic depiction captures the spirit of Sunny Smiles, a survivor in a harsh world, standing resilient against the ruins of civilization, armed and ready for whatever challenges the wasteland throws her way., (masterpiece:1.5), (top quality:1.5), (real life photo:1.5), (ultra detailed:1.5), <lora:add_detail:1.0> Full negative prompt: (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:38, 1.03it/s] 5%|▌ | 2/40 [00:01<00:23, 1.60it/s] 8%|▊ | 3/40 [00:01<00:19, 1.93it/s] 10%|█ | 4/40 [00:02<00:16, 2.14it/s] 12%|█▎ | 5/40 [00:02<00:15, 2.29it/s] 15%|█▌ | 6/40 [00:02<00:14, 2.37it/s] 18%|█▊ | 7/40 [00:03<00:13, 2.44it/s] 20%|██ | 8/40 [00:03<00:12, 2.47it/s] 22%|██▎ | 9/40 [00:04<00:12, 2.50it/s] 25%|██▌ | 10/40 [00:04<00:11, 2.53it/s] 28%|██▊ | 11/40 [00:04<00:11, 2.54it/s] 30%|███ | 12/40 [00:05<00:10, 2.55it/s] 32%|███▎ | 13/40 [00:05<00:10, 2.56it/s] 35%|███▌ | 14/40 [00:06<00:10, 2.56it/s] 38%|███▊ | 15/40 [00:06<00:09, 2.56it/s] 40%|████ | 16/40 [00:06<00:09, 2.56it/s] 42%|████▎ | 17/40 [00:07<00:08, 2.56it/s] 45%|████▌ | 18/40 [00:07<00:08, 2.57it/s] 48%|████▊ | 19/40 [00:07<00:08, 2.56it/s] 50%|█████ | 20/40 [00:08<00:07, 2.57it/s] 52%|█████▎ | 21/40 [00:08<00:07, 2.56it/s] 55%|█████▌ | 22/40 [00:09<00:07, 2.56it/s] 57%|█████▊ | 23/40 [00:09<00:06, 2.56it/s] 60%|██████ | 24/40 [00:09<00:06, 2.57it/s] 62%|██████▎ | 25/40 [00:10<00:05, 2.56it/s] 65%|██████▌ | 26/40 [00:10<00:05, 2.56it/s] 68%|██████▊ | 27/40 [00:11<00:05, 2.56it/s] 70%|███████ | 28/40 [00:11<00:04, 2.56it/s] 72%|███████▎ | 29/40 [00:11<00:04, 2.56it/s] 75%|███████▌ | 30/40 [00:12<00:03, 2.57it/s] 78%|███████▊ | 31/40 [00:12<00:03, 2.56it/s] 80%|████████ | 32/40 [00:13<00:03, 2.56it/s] 82%|████████▎ | 33/40 [00:13<00:02, 2.56it/s] 85%|████████▌ | 34/40 [00:13<00:02, 2.56it/s] 88%|████████▊ | 35/40 [00:14<00:01, 2.56it/s] 90%|█████████ | 36/40 [00:14<00:01, 2.55it/s] 92%|█████████▎| 37/40 [00:14<00:01, 2.55it/s] 95%|█████████▌| 38/40 [00:15<00:00, 2.55it/s] 98%|█████████▊| 39/40 [00:15<00:00, 2.55it/s] 100%|██████████| 40/40 [00:16<00:00, 2.56it/s] 100%|██████████| 40/40 [00:16<00:00, 2.47it/s] Decoding latents in cuda:0... done in 0.62s Move latents to cpu... done in 0.01s 0: 640x448 1 face, 158.8ms Speed: 2.1ms preprocess, 158.8ms inference, 30.8ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:08, 2.46it/s] 9%|▊ | 2/23 [00:00<00:05, 3.60it/s] 13%|█▎ | 3/23 [00:00<00:04, 4.25it/s] 17%|█▋ | 4/23 [00:00<00:04, 4.50it/s] 22%|██▏ | 5/23 [00:01<00:03, 4.71it/s] 26%|██▌ | 6/23 [00:01<00:03, 4.83it/s] 30%|███ | 7/23 [00:01<00:03, 4.96it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.08it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.16it/s] 43%|████▎ | 10/23 [00:02<00:02, 5.24it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.26it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.30it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.23it/s] 61%|██████ | 14/23 [00:02<00:01, 5.27it/s] 65%|██████▌ | 15/23 [00:03<00:01, 5.30it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.33it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.35it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.34it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.28it/s] 87%|████████▋ | 20/23 [00:04<00:00, 5.29it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.25it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.27it/s] 100%|██████████| 23/23 [00:04<00:00, 5.28it/s] 100%|██████████| 23/23 [00:04<00:00, 5.02it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 1 hand, 99.8ms Speed: 2.0ms preprocess, 99.8ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.28it/s] 9%|▊ | 2/23 [00:00<00:03, 5.29it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.27it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.30it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.33it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.34it/s] 30%|███ | 7/23 [00:01<00:03, 5.27it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.24it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.20it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.25it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.27it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.31it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.30it/s] 61%|██████ | 14/23 [00:02<00:01, 5.19it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.18it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.17it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.22it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.20it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.23it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.26it/s] 91%|█████████▏| 21/23 [00:03<00:00, 5.26it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.22it/s] 100%|██████████| 23/23 [00:04<00:00, 5.26it/s] 100%|██████████| 23/23 [00:04<00:00, 5.25it/s] Decoding latents in cuda:0... done in 0.14s Move latents to cpu... done in 0.0s 0: 640x448 1 face, 7.5ms Speed: 1.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.22it/s] 9%|▊ | 2/23 [00:00<00:03, 5.27it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.36it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.40it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.39it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.39it/s] 30%|███ | 7/23 [00:01<00:02, 5.39it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.39it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.36it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.35it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.31it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.21it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.22it/s] 61%|██████ | 14/23 [00:02<00:01, 5.17it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.14it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.13it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.16it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.21it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.22it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.21it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.09it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.03it/s] 100%|██████████| 23/23 [00:04<00:00, 5.05it/s] 100%|██████████| 23/23 [00:04<00:00, 5.22it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 8.0ms Speed: 2.1ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x448 1 face, 8.5ms Speed: 2.0ms preprocess, 8.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.27it/s] 9%|▊ | 2/23 [00:00<00:04, 5.17it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.21it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.27it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.31it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.29it/s] 30%|███ | 7/23 [00:01<00:03, 5.27it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.27it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.20it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.20it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.20it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.17it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.11it/s] 61%|██████ | 14/23 [00:02<00:01, 5.13it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.20it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.24it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.24it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.23it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.26it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.20it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.22it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.20it/s] 100%|██████████| 23/23 [00:04<00:00, 5.20it/s] 100%|██████████| 23/23 [00:04<00:00, 5.22it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.3ms Speed: 1.9ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x448 1 face, 7.4ms Speed: 1.9ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 448) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:00<00:04, 5.03it/s] 9%|▊ | 2/23 [00:00<00:04, 5.07it/s] 13%|█▎ | 3/23 [00:00<00:03, 5.14it/s] 17%|█▋ | 4/23 [00:00<00:03, 5.23it/s] 22%|██▏ | 5/23 [00:00<00:03, 5.19it/s] 26%|██▌ | 6/23 [00:01<00:03, 5.22it/s] 30%|███ | 7/23 [00:01<00:03, 5.27it/s] 35%|███▍ | 8/23 [00:01<00:02, 5.30it/s] 39%|███▉ | 9/23 [00:01<00:02, 5.32it/s] 43%|████▎ | 10/23 [00:01<00:02, 5.23it/s] 48%|████▊ | 11/23 [00:02<00:02, 5.24it/s] 52%|█████▏ | 12/23 [00:02<00:02, 5.27it/s] 57%|█████▋ | 13/23 [00:02<00:01, 5.25it/s] 61%|██████ | 14/23 [00:02<00:01, 5.22it/s] 65%|██████▌ | 15/23 [00:02<00:01, 5.18it/s] 70%|██████▉ | 16/23 [00:03<00:01, 5.14it/s] 74%|███████▍ | 17/23 [00:03<00:01, 5.16it/s] 78%|███████▊ | 18/23 [00:03<00:00, 5.23it/s] 83%|████████▎ | 19/23 [00:03<00:00, 5.22it/s] 87%|████████▋ | 20/23 [00:03<00:00, 5.20it/s] 91%|█████████▏| 21/23 [00:04<00:00, 5.25it/s] 96%|█████████▌| 22/23 [00:04<00:00, 5.29it/s] 100%|██████████| 23/23 [00:04<00:00, 5.27it/s] 100%|██████████| 23/23 [00:04<00:00, 5.23it/s] Decoding latents in cuda:0... done in 0.15s Move latents to cpu... done in 0.0s 0: 640x448 (no detections), 7.6ms Speed: 2.0ms preprocess, 7.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 448) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.