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Motorcycles with Hexrun
hexrun:v6.0
evevalentine2017
evevalentine2017
·
Jan 16
354
Input
prompt
Specify things to see in the output
photo of a futuristic sport bike in front of a mansion, reflective metallic paint, side front angle view, sunny weather, autumn day, [consistent proportions, aesthetic design and intricate composition, refined details, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
negative_prompt
Specify things to not see in the output
(Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3052887411
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/b3eb3081ebef427fa13699f2ecf1307c/00000-3052887411.webp
https://files.tungsten.run/uploads/924c9a30f1cf4c08a6a5915870cbe1cf/00001-3052887412.webp
https://files.tungsten.run/uploads/82bf2672313c4b529b4e2cdb4ad177b5/00002-3052887413.webp
https://files.tungsten.run/uploads/db7a3f2a8a1a4e76909443d5e906d742/00003-3052887414.webp
Finished in 61.7 seconds
Preparing model evevalentine2017/hexrun:v6.0... v6.0: Pulling from evevalentine2017/hexrun 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 1bf8ddef7302: Pull complete 8c639f2a0d60: Pull complete dbe0d6a66bf9: Pull complete Setting up the model... Preparing inputs... Processing... Full prompt: photo of a futuristic sport bike in front of a mansion, reflective metallic paint, side front angle view, sunny weather, autumn day, [consistent proportions, aesthetic design and intricate composition, refined details, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity] Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:35, 1.31s/it] 7%|▋ | 2/28 [00:03<00:41, 1.59s/it] 11%|█ | 3/28 [00:04<00:42, 1.70s/it] 14%|█▍ | 4/28 [00:06<00:42, 1.79s/it] 18%|█▊ | 5/28 [00:08<00:41, 1.81s/it] 21%|██▏ | 6/28 [00:10<00:39, 1.81s/it] 25%|██▌ | 7/28 [00:12<00:37, 1.80s/it] 29%|██▊ | 8/28 [00:14<00:35, 1.78s/it] 32%|███▏ | 9/28 [00:15<00:33, 1.78s/it] 36%|███▌ | 10/28 [00:17<00:32, 1.80s/it] 39%|███▉ | 11/28 [00:19<00:29, 1.75s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.75s/it] 46%|████▋ | 13/28 [00:22<00:26, 1.76s/it] 50%|█████ | 14/28 [00:24<00:24, 1.75s/it] 54%|█████▎ | 15/28 [00:26<00:22, 1.75s/it] 57%|█████▋ | 16/28 [00:27<00:20, 1.69s/it] 61%|██████ | 17/28 [00:29<00:17, 1.61s/it] 64%|██████▍ | 18/28 [00:30<00:15, 1.60s/it] 68%|██████▊ | 19/28 [00:32<00:14, 1.60s/it] 71%|███████▏ | 20/28 [00:33<00:12, 1.58s/it] 75%|███████▌ | 21/28 [00:35<00:11, 1.64s/it] 79%|███████▊ | 22/28 [00:37<00:09, 1.61s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.67s/it] 86%|████████▌ | 24/28 [00:40<00:06, 1.58s/it] 89%|████████▉ | 25/28 [00:41<00:04, 1.55s/it] 93%|█████████▎| 26/28 [00:43<00:03, 1.55s/it] 96%|█████████▋| 27/28 [00:44<00:01, 1.39s/it] 100%|██████████| 28/28 [00:45<00:00, 1.16s/it] 100%|██████████| 28/28 [00:45<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.6ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 hand, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 10.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.57it/s] 15%|█▌ | 2/13 [00:01<00:05, 2.00it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.08it/s] 31%|███ | 4/13 [00:01<00:04, 2.16it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.21it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.17it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.29it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.34it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.31it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.55it/s] 100%|██████████| 13/13 [00:05<00:00, 3.01it/s] 100%|██████████| 13/13 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
photo of a futuristic sport bike in front of a mansion, reflective metallic paint, side front angle view, sunny weather, autumn day, [consistent proportions, aesthetic design and intricate composition, refined details, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity]
negative_prompt
Specify things to not see in the output
(Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale]
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
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.
3052887411
input_image
Base image that the output should be generated from. This is useful when you want to add some detail to input_image. For example, if prompt is "sunglasses" and input_image has a man, there is the man wearing sunglasses in the output.
input_image_redrawing_strength
How differ the output is from input_image. Used only when input_image is given.
0.55
reference_image
Image with which the output should share identity (e.g. face of a person or type of a dog)
reference_image_strength
Strength of applying reference_image. Used only when reference_image is given.
1
reference_pose_image
Image with a reference pose
reference_pose_strength
Strength of applying reference_pose_image. Used only when reference_pose_image is given.
1
reference_depth_image
Image with a reference depth
reference_depth_strength
Strength of applying reference_depth_image. Used only when reference_depth_image is given.
1
sampler
Sampler type
DPM++ 2M SDE Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
6
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/b3eb3081ebef427fa13699f2ecf1307c/00000-3052887411.webp
https://files.tungsten.run/uploads/924c9a30f1cf4c08a6a5915870cbe1cf/00001-3052887412.webp
https://files.tungsten.run/uploads/82bf2672313c4b529b4e2cdb4ad177b5/00002-3052887413.webp
https://files.tungsten.run/uploads/db7a3f2a8a1a4e76909443d5e906d742/00003-3052887414.webp
Finished in 61.7 seconds
Preparing model evevalentine2017/hexrun:v6.0... v6.0: Pulling from evevalentine2017/hexrun 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 1bf8ddef7302: Pull complete 8c639f2a0d60: Pull complete dbe0d6a66bf9: Pull complete Setting up the model... Preparing inputs... Processing... Full prompt: photo of a futuristic sport bike in front of a mansion, reflective metallic paint, side front angle view, sunny weather, autumn day, [consistent proportions, aesthetic design and intricate composition, refined details, realism, authenticity, photorealistic, accurate colors and shades, true tone representation, authentic shadows, sharp focus, fine details, high resolution scene, subtle lighting and highlights, texture fidelity] Full negative prompt: (Asian), [anime, manga, comic, cartoon, illustration, 3D render, computer-generated imagery, CGI, drawing, sketch, painting, surreal, fake, text, signatures, logos, watermarks, signed image, heterochromia, glaring skin, flawed facial or body features, facial or body flaws, distorted fingers or hands, deformed body parts, body deformities, body mutations, crooked teeth, excessive body length, inaccurate anatomy, extra body parts, missing body parts, inaccurate body proportions, unnatural body, blurriness, haze, lack of clarity, unnatural lighting, over highlighted, unrealistic colors, inaccurate perspective, flat composition, image artifacts, image distortions, disfigured or malformed elements, inconsistent or gross proportions, ugly or disgusting, low resolution, excessive noise, frame, worst quality, low quality, bad quality, poor quality, grayscale] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:35, 1.31s/it] 7%|▋ | 2/28 [00:03<00:41, 1.59s/it] 11%|█ | 3/28 [00:04<00:42, 1.70s/it] 14%|█▍ | 4/28 [00:06<00:42, 1.79s/it] 18%|█▊ | 5/28 [00:08<00:41, 1.81s/it] 21%|██▏ | 6/28 [00:10<00:39, 1.81s/it] 25%|██▌ | 7/28 [00:12<00:37, 1.80s/it] 29%|██▊ | 8/28 [00:14<00:35, 1.78s/it] 32%|███▏ | 9/28 [00:15<00:33, 1.78s/it] 36%|███▌ | 10/28 [00:17<00:32, 1.80s/it] 39%|███▉ | 11/28 [00:19<00:29, 1.75s/it] 43%|████▎ | 12/28 [00:21<00:28, 1.75s/it] 46%|████▋ | 13/28 [00:22<00:26, 1.76s/it] 50%|█████ | 14/28 [00:24<00:24, 1.75s/it] 54%|█████▎ | 15/28 [00:26<00:22, 1.75s/it] 57%|█████▋ | 16/28 [00:27<00:20, 1.69s/it] 61%|██████ | 17/28 [00:29<00:17, 1.61s/it] 64%|██████▍ | 18/28 [00:30<00:15, 1.60s/it] 68%|██████▊ | 19/28 [00:32<00:14, 1.60s/it] 71%|███████▏ | 20/28 [00:33<00:12, 1.58s/it] 75%|███████▌ | 21/28 [00:35<00:11, 1.64s/it] 79%|███████▊ | 22/28 [00:37<00:09, 1.61s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.67s/it] 86%|████████▌ | 24/28 [00:40<00:06, 1.58s/it] 89%|████████▉ | 25/28 [00:41<00:04, 1.55s/it] 93%|█████████▎| 26/28 [00:43<00:03, 1.55s/it] 96%|█████████▋| 27/28 [00:44<00:01, 1.39s/it] 100%|██████████| 28/28 [00:45<00:00, 1.16s/it] 100%|██████████| 28/28 [00:45<00:00, 1.61s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.6ms Speed: 2.9ms preprocess, 7.6ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.4ms Speed: 2.7ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.6ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.5ms Speed: 2.8ms preprocess, 7.5ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 hand, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 10.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:07, 1.57it/s] 15%|█▌ | 2/13 [00:01<00:05, 2.00it/s] 23%|██▎ | 3/13 [00:01<00:04, 2.08it/s] 31%|███ | 4/13 [00:01<00:04, 2.16it/s] 38%|███▊ | 5/13 [00:02<00:03, 2.21it/s] 46%|████▌ | 6/13 [00:02<00:03, 2.17it/s] 54%|█████▍ | 7/13 [00:03<00:02, 2.23it/s] 62%|██████▏ | 8/13 [00:03<00:02, 2.18it/s] 69%|██████▉ | 9/13 [00:04<00:01, 2.29it/s] 77%|███████▋ | 10/13 [00:04<00:01, 2.34it/s] 85%|████████▍ | 11/13 [00:04<00:00, 2.31it/s] 92%|█████████▏| 12/13 [00:05<00:00, 2.55it/s] 100%|██████████| 13/13 [00:05<00:00, 3.01it/s] 100%|██████████| 13/13 [00:05<00:00, 2.37it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.7ms preprocess, 7.7ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.