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Red Bio Woman
grogmix-turbo-xl:v1.0
nerorevrecsla5
nerorevrecsla5
·
Feb 2
368
Input
prompt
Specify things to see in the output
realistic, masterpiece, best quality, biomechanical cyberpunk A stunningly complex 3D wallpaper featuring biomechanical woman, natural human skin, her cybernetic parts and circuit boards, seamlessly blend with her natural skin, creating a haunting yet alluring presence, delicate lace adorning her outfit, her mechanical parts are a pearlescent red and black, luxurious cyberpunk atmosphere, dimly lit detailed eyes, intricate wiring and microchips power her robotic components, showcases every nuance and texture with breathtaking clarity, every detail on this masterpiece is hyper-realistic, style of Peter Gric and Android Jones, . cybernetics, human-machine fusion, dystopian, organic meets artificial, dark, intricate, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style
negative_prompt
Specify things to not see in the output
negativeXL_D, cartoon, anime, drawing, painting
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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.
0.78
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
5.37
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negativeXL_D.safetensors
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/026da8ae17d8440983edba2dd2fd0d54/00000-4151551641.webp
https://files.tungsten.run/uploads/e657536443c64f5fa366f31b4d326e8d/00001-4151551642.webp
https://files.tungsten.run/uploads/0df911f6fa614eaa9515732085261b9d/00002-4151551643.webp
Finished in 87.6 seconds
Setting up the model... Preparing inputs... Processing... Using seed 4151551641 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: realistic, masterpiece, best quality, biomechanical cyberpunk A stunningly complex 3D wallpaper featuring biomechanical woman, natural human skin, her cybernetic parts and circuit boards, seamlessly blend with her natural skin, creating a haunting yet alluring presence, delicate lace adorning her outfit, her mechanical parts are a pearlescent red and black, luxurious cyberpunk atmosphere, dimly lit detailed eyes, intricate wiring and microchips power her robotic components, showcases every nuance and texture with breathtaking clarity, every detail on this masterpiece is hyper-realistic, style of Peter Gric and Android Jones, . cybernetics, human-machine fusion, dystopian, organic meets artificial, dark, intricate, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style Full negative prompt: negativeXL_D, cartoon, anime, drawing, painting 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:35, 1.56s/it] 8%|▊ | 2/24 [00:03<00:41, 1.90s/it] 12%|█▎ | 3/24 [00:05<00:40, 1.94s/it] 17%|█▋ | 4/24 [00:07<00:38, 1.95s/it] 21%|██ | 5/24 [00:09<00:37, 1.98s/it] 25%|██▌ | 6/24 [00:11<00:36, 2.01s/it] 29%|██▉ | 7/24 [00:13<00:34, 2.01s/it] 33%|███▎ | 8/24 [00:15<00:32, 2.03s/it] 38%|███▊ | 9/24 [00:17<00:31, 2.07s/it] 42%|████▏ | 10/24 [00:19<00:28, 2.04s/it] 46%|████▌ | 11/24 [00:21<00:26, 2.02s/it] 50%|█████ | 12/24 [00:23<00:23, 1.99s/it] 54%|█████▍ | 13/24 [00:25<00:21, 1.97s/it] 58%|█████▊ | 14/24 [00:27<00:19, 1.94s/it] 62%|██████▎ | 15/24 [00:29<00:17, 1.91s/it] 67%|██████▋ | 16/24 [00:31<00:15, 1.89s/it] 71%|███████ | 17/24 [00:32<00:12, 1.81s/it] 75%|███████▌ | 18/24 [00:34<00:11, 1.86s/it] 79%|███████▉ | 19/24 [00:36<00:09, 1.85s/it] 83%|████████▎ | 20/24 [00:38<00:07, 1.82s/it] 88%|████████▊ | 21/24 [00:40<00:05, 1.82s/it] 92%|█████████▏| 22/24 [00:41<00:03, 1.75s/it] 96%|█████████▌| 23/24 [00:42<00:01, 1.51s/it] 100%|██████████| 24/24 [00:43<00:00, 1.32s/it] 100%|██████████| 24/24 [00:43<00:00, 1.82s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.9ms Speed: 2.6ms preprocess, 157.9ms inference, 23.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:11, 1.10s/it] 18%|█▊ | 2/11 [00:02<00:09, 1.01s/it] 27%|██▋ | 3/11 [00:02<00:07, 1.03it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.08it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.06it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.06it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.08it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.08it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.11it/s] 91%|█████████ | 10/11 [00:09<00:00, 1.22it/s] 100%|██████████| 11/11 [00:09<00:00, 1.32it/s] 100%|██████████| 11/11 [00:09<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.4ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:09, 1.05it/s] 18%|█▊ | 2/11 [00:01<00:08, 1.06it/s] 27%|██▋ | 3/11 [00:02<00:07, 1.07it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.11it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.08it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.08it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.09it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.08it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.11it/s] 91%|█████████ | 10/11 [00:08<00:00, 1.22it/s] 100%|██████████| 11/11 [00:09<00:00, 1.32it/s] 100%|██████████| 11/11 [00:09<00:00, 1.16it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.5ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:09, 1.04it/s] 18%|█▊ | 2/11 [00:01<00:08, 1.04it/s] 27%|██▋ | 3/11 [00:02<00:07, 1.05it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.07it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.05it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.05it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.06it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.07it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.08it/s] 91%|█████████ | 10/11 [00:09<00:00, 1.20it/s] 100%|██████████| 11/11 [00:09<00:00, 1.29it/s] 100%|██████████| 11/11 [00:09<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
realistic, masterpiece, best quality, biomechanical cyberpunk A stunningly complex 3D wallpaper featuring biomechanical woman, natural human skin, her cybernetic parts and circuit boards, seamlessly blend with her natural skin, creating a haunting yet alluring presence, delicate lace adorning her outfit, her mechanical parts are a pearlescent red and black, luxurious cyberpunk atmosphere, dimly lit detailed eyes, intricate wiring and microchips power her robotic components, showcases every nuance and texture with breathtaking clarity, every detail on this masterpiece is hyper-realistic, style of Peter Gric and Android Jones, . cybernetics, human-machine fusion, dystopian, organic meets artificial, dark, intricate, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style
negative_prompt
Specify things to not see in the output
negativeXL_D, cartoon, anime, drawing, painting
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
-1
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.
0.78
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
5.37
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
lora_3
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
embedding_1
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
negativeXL_D.safetensors
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/026da8ae17d8440983edba2dd2fd0d54/00000-4151551641.webp
https://files.tungsten.run/uploads/e657536443c64f5fa366f31b4d326e8d/00001-4151551642.webp
https://files.tungsten.run/uploads/0df911f6fa614eaa9515732085261b9d/00002-4151551643.webp
Finished in 87.6 seconds
Setting up the model... Preparing inputs... Processing... Using seed 4151551641 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: realistic, masterpiece, best quality, biomechanical cyberpunk A stunningly complex 3D wallpaper featuring biomechanical woman, natural human skin, her cybernetic parts and circuit boards, seamlessly blend with her natural skin, creating a haunting yet alluring presence, delicate lace adorning her outfit, her mechanical parts are a pearlescent red and black, luxurious cyberpunk atmosphere, dimly lit detailed eyes, intricate wiring and microchips power her robotic components, showcases every nuance and texture with breathtaking clarity, every detail on this masterpiece is hyper-realistic, style of Peter Gric and Android Jones, . cybernetics, human-machine fusion, dystopian, organic meets artificial, dark, intricate, highly detailed, realism, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, warm colors, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style Full negative prompt: negativeXL_D, cartoon, anime, drawing, painting 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:35, 1.56s/it] 8%|▊ | 2/24 [00:03<00:41, 1.90s/it] 12%|█▎ | 3/24 [00:05<00:40, 1.94s/it] 17%|█▋ | 4/24 [00:07<00:38, 1.95s/it] 21%|██ | 5/24 [00:09<00:37, 1.98s/it] 25%|██▌ | 6/24 [00:11<00:36, 2.01s/it] 29%|██▉ | 7/24 [00:13<00:34, 2.01s/it] 33%|███▎ | 8/24 [00:15<00:32, 2.03s/it] 38%|███▊ | 9/24 [00:17<00:31, 2.07s/it] 42%|████▏ | 10/24 [00:19<00:28, 2.04s/it] 46%|████▌ | 11/24 [00:21<00:26, 2.02s/it] 50%|█████ | 12/24 [00:23<00:23, 1.99s/it] 54%|█████▍ | 13/24 [00:25<00:21, 1.97s/it] 58%|█████▊ | 14/24 [00:27<00:19, 1.94s/it] 62%|██████▎ | 15/24 [00:29<00:17, 1.91s/it] 67%|██████▋ | 16/24 [00:31<00:15, 1.89s/it] 71%|███████ | 17/24 [00:32<00:12, 1.81s/it] 75%|███████▌ | 18/24 [00:34<00:11, 1.86s/it] 79%|███████▉ | 19/24 [00:36<00:09, 1.85s/it] 83%|████████▎ | 20/24 [00:38<00:07, 1.82s/it] 88%|████████▊ | 21/24 [00:40<00:05, 1.82s/it] 92%|█████████▏| 22/24 [00:41<00:03, 1.75s/it] 96%|█████████▌| 23/24 [00:42<00:01, 1.51s/it] 100%|██████████| 24/24 [00:43<00:00, 1.32s/it] 100%|██████████| 24/24 [00:43<00:00, 1.82s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.9ms Speed: 2.6ms preprocess, 157.9ms inference, 23.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:01<00:11, 1.10s/it] 18%|█▊ | 2/11 [00:02<00:09, 1.01s/it] 27%|██▋ | 3/11 [00:02<00:07, 1.03it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.08it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.06it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.06it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.08it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.08it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.11it/s] 91%|█████████ | 10/11 [00:09<00:00, 1.22it/s] 100%|██████████| 11/11 [00:09<00:00, 1.32it/s] 100%|██████████| 11/11 [00:09<00:00, 1.14it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.7ms Speed: 2.4ms preprocess, 8.7ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:09, 1.05it/s] 18%|█▊ | 2/11 [00:01<00:08, 1.06it/s] 27%|██▋ | 3/11 [00:02<00:07, 1.07it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.11it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.08it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.08it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.09it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.08it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.11it/s] 91%|█████████ | 10/11 [00:08<00:00, 1.22it/s] 100%|██████████| 11/11 [00:09<00:00, 1.32it/s] 100%|██████████| 11/11 [00:09<00:00, 1.16it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.5ms preprocess, 8.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/11 [00:00<?, ?it/s] 9%|▉ | 1/11 [00:00<00:09, 1.04it/s] 18%|█▊ | 2/11 [00:01<00:08, 1.04it/s] 27%|██▋ | 3/11 [00:02<00:07, 1.05it/s] 36%|███▋ | 4/11 [00:03<00:06, 1.07it/s] 45%|████▌ | 5/11 [00:04<00:05, 1.05it/s] 55%|█████▍ | 6/11 [00:05<00:04, 1.05it/s] 64%|██████▎ | 7/11 [00:06<00:03, 1.06it/s] 73%|███████▎ | 8/11 [00:07<00:02, 1.07it/s] 82%|████████▏ | 9/11 [00:08<00:01, 1.08it/s] 91%|█████████ | 10/11 [00:09<00:00, 1.20it/s] 100%|██████████| 11/11 [00:09<00:00, 1.29it/s] 100%|██████████| 11/11 [00:09<00:00, 1.13it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.