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Broken Cyborg with CinEro
cinero-xl:v1.4
sparks
sparks
·
Feb 1
381
Input
prompt
Specify things to see in the output
a broken ruined cyborg girl in a landfill, robot, beautiful face, body is broken with scars and holes, laying on the ground, 8K, (dynamic perspective), sharp focus, extremely detailed eyes and face, beautiful detailed eyes, hyperpunk scene, cinematic lighting, reflective transparent iridescent opaque jacket, long transparent iridescent RGB hair, ((masterpiece, best quality)), niji, from above, upper body, navel, sachin teng, realism, hyperrealistic, (shallow depth of field, frontal bokeh, light particles flying in air, volumetric light, light caustics, refraction, reflection, v-ray, ray tracing:1.15)
negative_prompt
Specify things to not see in the output
makeup, (inconsistent body in background, too long limbs, redundant arm, extra fingers, finger missing, inconsistent anatomy, anatomical defects, deformed eyes, malformed cornea, poorly drawn eyes, deformed eyes, incorrect cornea, absurd eyes, cross-eyed, deformed body, bad hands, incorrect anatomy:1.3), sharp focus on background, blurry image, (no emotions, poker face:1.1), blurry, illustration, drawing, poorly drawn body, poorly drawn nipples, artificial smooth unnatural skin, unreal picture, plastic look, plastic skin, digital art image, underwear, panties, thong
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1024
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
0.3
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.
1
sampler
Sampler type
DPM++ 2S a Karras
samping_steps
Number of denoising steps
22
cfg_scale
Scale for classifier-free guidance
7.7
clip_skip
The number of last layers of CLIP network to skip
1
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)
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/30bb4423e5034f54827f873ec2d5159a/00000-2232107657.webp
https://files.tungsten.run/uploads/6c98231eee0b423983ae8f2d3c90350f/00001-2232107658.webp
https://files.tungsten.run/uploads/6f64bd79d4f649bc8aeb30fecb5779cd/00002-2232107659.webp
Finished in 117.9 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2232107657 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a broken ruined cyborg girl in a landfill, robot, beautiful face, body is broken with scars and holes, laying on the ground, 8K, (dynamic perspective), sharp focus, extremely detailed eyes and face, beautiful detailed eyes, hyperpunk scene, cinematic lighting, reflective transparent iridescent opaque jacket, long transparent iridescent RGB hair, ((masterpiece, best quality)), niji, from above, upper body, navel, sachin teng, realism, hyperrealistic, (shallow depth of field, frontal bokeh, light particles flying in air, volumetric light, light caustics, refraction, reflection, v-ray, ray tracing:1.15) Full negative prompt: makeup, (inconsistent body in background, too long limbs, redundant arm, extra fingers, finger missing, inconsistent anatomy, anatomical defects, deformed eyes, malformed cornea, poorly drawn eyes, deformed eyes, incorrect cornea, absurd eyes, cross-eyed, deformed body, bad hands, incorrect anatomy:1.3), sharp focus on background, blurry image, (no emotions, poker face:1.1), blurry, illustration, drawing, poorly drawn body, poorly drawn nipples, artificial smooth unnatural skin, unreal picture, plastic look, plastic skin, digital art image, underwear, panties, thong 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:03<01:09, 3.30s/it] 9%|▉ | 2/22 [00:06<01:06, 3.31s/it] 14%|█▎ | 3/22 [00:09<01:03, 3.32s/it] 18%|█▊ | 4/22 [00:13<01:00, 3.34s/it] 23%|██▎ | 5/22 [00:16<00:56, 3.35s/it] 27%|██▋ | 6/22 [00:20<00:53, 3.36s/it] 32%|███▏ | 7/22 [00:23<00:50, 3.35s/it] 36%|███▋ | 8/22 [00:26<00:46, 3.35s/it] 41%|████ | 9/22 [00:30<00:43, 3.36s/it] 45%|████▌ | 10/22 [00:33<00:40, 3.36s/it] 50%|█████ | 11/22 [00:36<00:36, 3.36s/it] 55%|█████▍ | 12/22 [00:40<00:33, 3.36s/it] 59%|█████▉ | 13/22 [00:43<00:30, 3.35s/it] 64%|██████▎ | 14/22 [00:46<00:26, 3.34s/it] 68%|██████▊ | 15/22 [00:50<00:23, 3.33s/it] 73%|███████▎ | 16/22 [00:53<00:19, 3.32s/it] 77%|███████▋ | 17/22 [00:56<00:16, 3.32s/it] 82%|████████▏ | 18/22 [01:00<00:13, 3.32s/it] 86%|████████▋ | 19/22 [01:03<00:09, 3.32s/it] 91%|█████████ | 20/22 [01:06<00:06, 3.32s/it] 95%|█████████▌| 21/22 [01:10<00:03, 3.32s/it] 100%|██████████| 22/22 [01:11<00:00, 2.81s/it] 100%|██████████| 22/22 [01:11<00:00, 3.26s/it] Decoding latents in cuda:0... done in 2.87s Move latents to cpu... done in 0.03s 0: 576x640 1 face, 156.4ms Speed: 3.1ms preprocess, 156.4ms inference, 31.0ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.01it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.03it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.04it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.04it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.04it/s] 100%|██████████| 7/7 [00:06<00:00, 1.24it/s] 100%|██████████| 7/7 [00:06<00:00, 1.12it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 101.9ms Speed: 2.9ms preprocess, 101.9ms inference, 0.8ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 576x640 1 face, 8.1ms Speed: 2.8ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.05it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.04it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.04it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.04it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.03it/s] 100%|██████████| 7/7 [00:06<00:00, 1.24it/s] 100%|██████████| 7/7 [00:06<00:00, 1.12it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 576x640 2 faces, 8.2ms Speed: 2.8ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.04it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.04it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.03it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.03it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.03it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.03it/s] 100%|██████████| 7/7 [00:06<00:00, 1.23it/s] 100%|██████████| 7/7 [00:06<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.02it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.02it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.02it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.02it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.02it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.02it/s] 100%|██████████| 7/7 [00:06<00:00, 1.22it/s] 100%|██████████| 7/7 [00:06<00:00, 1.10it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
a broken ruined cyborg girl in a landfill, robot, beautiful face, body is broken with scars and holes, laying on the ground, 8K, (dynamic perspective), sharp focus, extremely detailed eyes and face, beautiful detailed eyes, hyperpunk scene, cinematic lighting, reflective transparent iridescent opaque jacket, long transparent iridescent RGB hair, ((masterpiece, best quality)), niji, from above, upper body, navel, sachin teng, realism, hyperrealistic, (shallow depth of field, frontal bokeh, light particles flying in air, volumetric light, light caustics, refraction, reflection, v-ray, ray tracing:1.15)
negative_prompt
Specify things to not see in the output
makeup, (inconsistent body in background, too long limbs, redundant arm, extra fingers, finger missing, inconsistent anatomy, anatomical defects, deformed eyes, malformed cornea, poorly drawn eyes, deformed eyes, incorrect cornea, absurd eyes, cross-eyed, deformed body, bad hands, incorrect anatomy:1.3), sharp focus on background, blurry image, (no emotions, poker face:1.1), blurry, illustration, drawing, poorly drawn body, poorly drawn nipples, artificial smooth unnatural skin, unreal picture, plastic look, plastic skin, digital art image, underwear, panties, thong
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1024
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
0.3
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.
1
sampler
Sampler type
DPM++ 2S a Karras
samping_steps
Number of denoising steps
22
cfg_scale
Scale for classifier-free guidance
7.7
clip_skip
The number of last layers of CLIP network to skip
1
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)
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/30bb4423e5034f54827f873ec2d5159a/00000-2232107657.webp
https://files.tungsten.run/uploads/6c98231eee0b423983ae8f2d3c90350f/00001-2232107658.webp
https://files.tungsten.run/uploads/6f64bd79d4f649bc8aeb30fecb5779cd/00002-2232107659.webp
Finished in 117.9 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2232107657 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a broken ruined cyborg girl in a landfill, robot, beautiful face, body is broken with scars and holes, laying on the ground, 8K, (dynamic perspective), sharp focus, extremely detailed eyes and face, beautiful detailed eyes, hyperpunk scene, cinematic lighting, reflective transparent iridescent opaque jacket, long transparent iridescent RGB hair, ((masterpiece, best quality)), niji, from above, upper body, navel, sachin teng, realism, hyperrealistic, (shallow depth of field, frontal bokeh, light particles flying in air, volumetric light, light caustics, refraction, reflection, v-ray, ray tracing:1.15) Full negative prompt: makeup, (inconsistent body in background, too long limbs, redundant arm, extra fingers, finger missing, inconsistent anatomy, anatomical defects, deformed eyes, malformed cornea, poorly drawn eyes, deformed eyes, incorrect cornea, absurd eyes, cross-eyed, deformed body, bad hands, incorrect anatomy:1.3), sharp focus on background, blurry image, (no emotions, poker face:1.1), blurry, illustration, drawing, poorly drawn body, poorly drawn nipples, artificial smooth unnatural skin, unreal picture, plastic look, plastic skin, digital art image, underwear, panties, thong 0%| | 0/22 [00:00<?, ?it/s] 5%|▍ | 1/22 [00:03<01:09, 3.30s/it] 9%|▉ | 2/22 [00:06<01:06, 3.31s/it] 14%|█▎ | 3/22 [00:09<01:03, 3.32s/it] 18%|█▊ | 4/22 [00:13<01:00, 3.34s/it] 23%|██▎ | 5/22 [00:16<00:56, 3.35s/it] 27%|██▋ | 6/22 [00:20<00:53, 3.36s/it] 32%|███▏ | 7/22 [00:23<00:50, 3.35s/it] 36%|███▋ | 8/22 [00:26<00:46, 3.35s/it] 41%|████ | 9/22 [00:30<00:43, 3.36s/it] 45%|████▌ | 10/22 [00:33<00:40, 3.36s/it] 50%|█████ | 11/22 [00:36<00:36, 3.36s/it] 55%|█████▍ | 12/22 [00:40<00:33, 3.36s/it] 59%|█████▉ | 13/22 [00:43<00:30, 3.35s/it] 64%|██████▎ | 14/22 [00:46<00:26, 3.34s/it] 68%|██████▊ | 15/22 [00:50<00:23, 3.33s/it] 73%|███████▎ | 16/22 [00:53<00:19, 3.32s/it] 77%|███████▋ | 17/22 [00:56<00:16, 3.32s/it] 82%|████████▏ | 18/22 [01:00<00:13, 3.32s/it] 86%|████████▋ | 19/22 [01:03<00:09, 3.32s/it] 91%|█████████ | 20/22 [01:06<00:06, 3.32s/it] 95%|█████████▌| 21/22 [01:10<00:03, 3.32s/it] 100%|██████████| 22/22 [01:11<00:00, 2.81s/it] 100%|██████████| 22/22 [01:11<00:00, 3.26s/it] Decoding latents in cuda:0... done in 2.87s Move latents to cpu... done in 0.03s 0: 576x640 1 face, 156.4ms Speed: 3.1ms preprocess, 156.4ms inference, 31.0ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.01it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.03it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.04it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.04it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.04it/s] 100%|██████████| 7/7 [00:06<00:00, 1.24it/s] 100%|██████████| 7/7 [00:06<00:00, 1.12it/s] Decoding latents in cuda:0... done in 0.94s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 101.9ms Speed: 2.9ms preprocess, 101.9ms inference, 0.8ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 576x640 1 face, 8.1ms Speed: 2.8ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.05it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.04it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.04it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.04it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.04it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.03it/s] 100%|██████████| 7/7 [00:06<00:00, 1.24it/s] 100%|██████████| 7/7 [00:06<00:00, 1.12it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 7.9ms Speed: 3.0ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 576x640 2 faces, 8.2ms Speed: 2.8ms preprocess, 8.2ms inference, 1.6ms postprocess per image at shape (1, 3, 576, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.04it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.04it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.03it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.03it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.03it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.03it/s] 100%|██████████| 7/7 [00:06<00:00, 1.23it/s] 100%|██████████| 7/7 [00:06<00:00, 1.11it/s] Decoding latents in cuda:0... done in 0.95s Move latents to cpu... done in 0.0s 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:05, 1.02it/s] 29%|██▊ | 2/7 [00:01<00:04, 1.02it/s] 43%|████▎ | 3/7 [00:02<00:03, 1.02it/s] 57%|█████▋ | 4/7 [00:03<00:02, 1.02it/s] 71%|███████▏ | 5/7 [00:04<00:01, 1.02it/s] 86%|████████▌ | 6/7 [00:05<00:00, 1.02it/s] 100%|██████████| 7/7 [00:06<00:00, 1.22it/s] 100%|██████████| 7/7 [00:06<00:00, 1.10it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.0s 0: 576x640 (no detections), 7.8ms Speed: 2.8ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 576, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.