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Cozy Street with Coma
coma:v2.0
evevalentine2017
evevalentine2017
·
12/20/2023
357
Input
prompt
Specify things to see in the output
(masterpiece: 1.2), (best quality: 1.2), (Low saturation: 1.2), (Light colors: 1.2), (Isometric: 1.1), good lighting, (outdoors: 1.2), (facing the door: 1.3), convenience store, doorway, potted plant, watering, wooden fence, bicycle, Windows, (Red brick wall: 1.2), autumn, AI is SB, volumetric light, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
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.
2017248719
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 Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/f4125b77121e458eb54d57997be929b9/00000-2017248719.webp
https://files.tungsten.run/uploads/b349c02d77444eaaa8ad8e036f9a9c89/00001-2017248720.webp
https://files.tungsten.run/uploads/242a484f0a624703adfa66a8600d9f5d/00002-2017248721.webp
https://files.tungsten.run/uploads/4cd35d5c7e1e4595b8b110af67fe3606/00003-2017248722.webp
Finished in 43.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece: 1.2), (best quality: 1.2), (Low saturation: 1.2), (Light colors: 1.2), (Isometric: 1.1), good lighting, (outdoors: 1.2), (facing the door: 1.3), convenience store, doorway, potted plant, watering, wooden fence, bicycle, Windows, (Red brick wall: 1.2), autumn, AI is SB, volumetric light, <lora:add_brightness:0.2> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:01<00:22, 1.16it/s] 11%|█ | 3/28 [00:02<00:18, 1.32it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.40it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.46it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.49it/s] 25%|██▌ | 7/28 [00:05<00:13, 1.51it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.53it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.54it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.54it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.55it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.55it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.55it/s] 50%|█████ | 14/28 [00:09<00:09, 1.54it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.54it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.54it/s] 61%|██████ | 17/28 [00:11<00:07, 1.54it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.54it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.54it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.54it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.54it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.53it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.53it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.53it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.53it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.52it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.52it/s] 100%|██████████| 28/28 [00:18<00:00, 1.52it/s] 100%|██████████| 28/28 [00:18<00:00, 1.50it/s] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.6ms Speed: 5.7ms preprocess, 7.6ms inference, 9.6ms 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: 3.0ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms 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), 7.1ms Speed: 2.6ms preprocess, 7.1ms 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), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 12.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.49it/s] 12%|█▎ | 2/16 [00:00<00:03, 3.57it/s] 19%|█▉ | 3/16 [00:00<00:03, 4.13it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.45it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.49it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.67it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.81it/s] 50%|█████ | 8/16 [00:01<00:01, 4.78it/s] 56%|█████▋ | 9/16 [00:02<00:01, 4.85it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.63it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.77it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.88it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.95it/s] 88%|████████▊ | 14/16 [00:03<00:00, 4.72it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.51it/s] 100%|██████████| 16/16 [00:03<00:00, 4.65it/s] 100%|██████████| 16/16 [00:03<00:00, 4.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.12it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.08it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.05it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.92it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.92it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.97it/s] 44%|████▍ | 7/16 [00:01<00:01, 5.00it/s] 50%|█████ | 8/16 [00:01<00:01, 5.03it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.05it/s] 62%|██████▎ | 10/16 [00:01<00:01, 5.05it/s] 69%|██████▉ | 11/16 [00:02<00:00, 5.05it/s] 75%|███████▌ | 12/16 [00:02<00:00, 5.04it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.03it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.89it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.94it/s] 100%|██████████| 16/16 [00:03<00:00, 4.98it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.
prompt
Specify things to see in the output
(masterpiece: 1.2), (best quality: 1.2), (Low saturation: 1.2), (Light colors: 1.2), (Isometric: 1.1), good lighting, (outdoors: 1.2), (facing the door: 1.3), convenience store, doorway, potted plant, watering, wooden fence, bicycle, Windows, (Red brick wall: 1.2), autumn, AI is SB, volumetric light, <lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
(worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.2
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.
2017248719
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 Karras
samping_steps
Number of denoising steps
28
cfg_scale
Scale for classifier-free guidance
7.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add_detail.safetensors
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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-hands-5.pt
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/f4125b77121e458eb54d57997be929b9/00000-2017248719.webp
https://files.tungsten.run/uploads/b349c02d77444eaaa8ad8e036f9a9c89/00001-2017248720.webp
https://files.tungsten.run/uploads/242a484f0a624703adfa66a8600d9f5d/00002-2017248721.webp
https://files.tungsten.run/uploads/4cd35d5c7e1e4595b8b110af67fe3606/00003-2017248722.webp
Finished in 43.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (masterpiece: 1.2), (best quality: 1.2), (Low saturation: 1.2), (Light colors: 1.2), (Isometric: 1.1), good lighting, (outdoors: 1.2), (facing the door: 1.3), convenience store, doorway, potted plant, watering, wooden fence, bicycle, Windows, (Red brick wall: 1.2), autumn, AI is SB, volumetric light, <lora:add_brightness:0.2> Full negative prompt: (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, normal quality, ((monochrome)), ((grayscale)), ((text, font, logo, copyright, watermark:1)), EasyNegativeV2, bad-hands-5 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:31, 1.18s/it] 7%|▋ | 2/28 [00:01<00:22, 1.16it/s] 11%|█ | 3/28 [00:02<00:18, 1.32it/s] 14%|█▍ | 4/28 [00:03<00:17, 1.40it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.46it/s] 21%|██▏ | 6/28 [00:04<00:14, 1.49it/s] 25%|██▌ | 7/28 [00:05<00:13, 1.51it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.53it/s] 32%|███▏ | 9/28 [00:06<00:12, 1.54it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.54it/s] 39%|███▉ | 11/28 [00:07<00:10, 1.55it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.55it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.55it/s] 50%|█████ | 14/28 [00:09<00:09, 1.54it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.54it/s] 57%|█████▋ | 16/28 [00:10<00:07, 1.54it/s] 61%|██████ | 17/28 [00:11<00:07, 1.54it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.54it/s] 68%|██████▊ | 19/28 [00:12<00:05, 1.54it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.54it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.54it/s] 79%|███████▊ | 22/28 [00:14<00:03, 1.53it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.53it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.53it/s] 89%|████████▉ | 25/28 [00:16<00:01, 1.53it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.52it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.52it/s] 100%|██████████| 28/28 [00:18<00:00, 1.52it/s] 100%|██████████| 28/28 [00:18<00:00, 1.50it/s] Decoding latents in cuda:0... done in 1.0s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.6ms Speed: 5.7ms preprocess, 7.6ms inference, 9.6ms 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: 3.0ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms 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), 7.1ms Speed: 2.6ms preprocess, 7.1ms 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), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.7ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 12.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:06, 2.49it/s] 12%|█▎ | 2/16 [00:00<00:03, 3.57it/s] 19%|█▉ | 3/16 [00:00<00:03, 4.13it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.45it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.49it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.67it/s] 44%|████▍ | 7/16 [00:01<00:01, 4.81it/s] 50%|█████ | 8/16 [00:01<00:01, 4.78it/s] 56%|█████▋ | 9/16 [00:02<00:01, 4.85it/s] 62%|██████▎ | 10/16 [00:02<00:01, 4.63it/s] 69%|██████▉ | 11/16 [00:02<00:01, 4.77it/s] 75%|███████▌ | 12/16 [00:02<00:00, 4.88it/s] 81%|████████▏ | 13/16 [00:02<00:00, 4.95it/s] 88%|████████▊ | 14/16 [00:03<00:00, 4.72it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.51it/s] 100%|██████████| 16/16 [00:03<00:00, 4.65it/s] 100%|██████████| 16/16 [00:03<00:00, 4.55it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:02, 5.12it/s] 12%|█▎ | 2/16 [00:00<00:02, 5.08it/s] 19%|█▉ | 3/16 [00:00<00:02, 5.05it/s] 25%|██▌ | 4/16 [00:00<00:02, 4.92it/s] 31%|███▏ | 5/16 [00:01<00:02, 4.92it/s] 38%|███▊ | 6/16 [00:01<00:02, 4.97it/s] 44%|████▍ | 7/16 [00:01<00:01, 5.00it/s] 50%|█████ | 8/16 [00:01<00:01, 5.03it/s] 56%|█████▋ | 9/16 [00:01<00:01, 5.05it/s] 62%|██████▎ | 10/16 [00:01<00:01, 5.05it/s] 69%|██████▉ | 11/16 [00:02<00:00, 5.05it/s] 75%|███████▌ | 12/16 [00:02<00:00, 5.04it/s] 81%|████████▏ | 13/16 [00:02<00:00, 5.03it/s] 88%|████████▊ | 14/16 [00:02<00:00, 4.89it/s] 94%|█████████▍| 15/16 [00:03<00:00, 4.94it/s] 100%|██████████| 16/16 [00:03<00:00, 4.98it/s] 100%|██████████| 16/16 [00:03<00:00, 5.00it/s] Decoding latents in cuda:0... done in 0.25s Move latents to cpu... done in 0.0s Finished.