cybersushi
cybersushi
2 stars
Version: e00fa67
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/09da9987a22c467793092c39a8084943/00000-1549882918.webp
https://files.tungsten.run/uploads/dc7d1d1a4db3465db4c4fc339be6e4b8/00001-1549882919.webp
https://files.tungsten.run/uploads/19ab85ed448b4b0c938e41108daf5d7d/00002-1549882920.webp
https://files.tungsten.run/uploads/c6ba4813ee964a819fb7f7a68a356dde/00003-1549882921.webp
This example was created by evevalentine2017
Finished in 36.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: mossbeast, elven city, in the forest, houses high in the trees, gigantic trees, large river, bridges connecting the houses, masterpiece, 8k, high resolution vivid colors, <lora:mossbeast:0.75> <lora:epiCRealismHelper:1>, Full negative prompt: ((portrait)), ((close up on face)), bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.28s/it] 7%|▋ | 2/30 [00:01<00:25, 1.10it/s] 10%|█ | 3/30 [00:02<00:21, 1.27it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.52it/s] 60%|██████ | 18/30 [00:12<00:07, 1.52it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.51it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.4ms preprocess, 7.7ms inference, 9.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 2.8ms preprocess, 7.2ms 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), 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 hand, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 11.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.43it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.81it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.48it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.88it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.12it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.19it/s] 50%|█████ | 7/14 [00:01<00:01, 6.22it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.32it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.37it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.50it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms 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), 7.1ms Speed: 2.6ms preprocess, 7.1ms 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
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/09da9987a22c467793092c39a8084943/00000-1549882918.webp
https://files.tungsten.run/uploads/dc7d1d1a4db3465db4c4fc339be6e4b8/00001-1549882919.webp
https://files.tungsten.run/uploads/19ab85ed448b4b0c938e41108daf5d7d/00002-1549882920.webp
https://files.tungsten.run/uploads/c6ba4813ee964a819fb7f7a68a356dde/00003-1549882921.webp
This example was created by evevalentine2017
Finished in 36.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: mossbeast, elven city, in the forest, houses high in the trees, gigantic trees, large river, bridges connecting the houses, masterpiece, 8k, high resolution vivid colors, <lora:mossbeast:0.75> <lora:epiCRealismHelper:1>, Full negative prompt: ((portrait)), ((close up on face)), bad proportions, bad drawing face, low quality, medium quality, bad drawn hands, low emotions, low face expression, negative_hand-neg, realisticvision-negative-embedding, BadNegAnatomyV1-neg 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:37, 1.28s/it] 7%|▋ | 2/30 [00:01<00:25, 1.10it/s] 10%|█ | 3/30 [00:02<00:21, 1.27it/s] 13%|█▎ | 4/30 [00:03<00:19, 1.36it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.42it/s] 20%|██ | 6/30 [00:04<00:16, 1.46it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.48it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.49it/s] 30%|███ | 9/30 [00:06<00:13, 1.51it/s] 33%|███▎ | 10/30 [00:07<00:13, 1.51it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.52it/s] 40%|████ | 12/30 [00:08<00:11, 1.51it/s] 43%|████▎ | 13/30 [00:09<00:11, 1.51it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.51it/s] 50%|█████ | 15/30 [00:10<00:09, 1.51it/s] 53%|█████▎ | 16/30 [00:11<00:09, 1.51it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.52it/s] 60%|██████ | 18/30 [00:12<00:07, 1.52it/s] 63%|██████▎ | 19/30 [00:13<00:07, 1.51it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.51it/s] 70%|███████ | 21/30 [00:14<00:05, 1.51it/s] 73%|███████▎ | 22/30 [00:15<00:05, 1.51it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.51it/s] 80%|████████ | 24/30 [00:16<00:03, 1.51it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.51it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.51it/s] 90%|█████████ | 27/30 [00:18<00:01, 1.51it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.50it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.51it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.4ms preprocess, 7.7ms inference, 9.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 2.8ms preprocess, 7.2ms 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), 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.6ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 7.6ms Speed: 2.6ms preprocess, 7.6ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 1 hand, 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 11.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:03, 3.43it/s] 14%|█▍ | 2/14 [00:00<00:02, 4.81it/s] 21%|██▏ | 3/14 [00:00<00:02, 5.48it/s] 29%|██▊ | 4/14 [00:00<00:01, 5.88it/s] 36%|███▌ | 5/14 [00:00<00:01, 6.12it/s] 43%|████▎ | 6/14 [00:01<00:01, 6.19it/s] 50%|█████ | 7/14 [00:01<00:01, 6.22it/s] 57%|█████▋ | 8/14 [00:01<00:00, 6.32it/s] 64%|██████▍ | 9/14 [00:01<00:00, 6.37it/s] 71%|███████▏ | 10/14 [00:01<00:00, 6.45it/s] 79%|███████▊ | 11/14 [00:01<00:00, 6.50it/s] 86%|████████▌ | 12/14 [00:01<00:00, 6.50it/s] 93%|█████████▎| 13/14 [00:02<00:00, 6.46it/s] 100%|██████████| 14/14 [00:02<00:00, 6.43it/s] 100%|██████████| 14/14 [00:02<00:00, 6.11it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms 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), 7.1ms Speed: 2.6ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 2nd settings. Uploading outputs... Finished.