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City Streets with Realbiter
realbiter:v1.5
evevalentine2017
evevalentine2017
·
Apr 12
134
Input
prompt
Specify things to see in the output
epiC35mm, Ultra Realistic concept photo of a city street, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1>
negative_prompt
Specify things to not see in the output
(easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative
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.
2145508526
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
58
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCNegative.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/96bef16b9488486eae8b604348de50bb/00000-2145508526.webp
https://files.tungsten.run/uploads/95e7daca45dc4e1b99c21158904f7731/00001-2145508527.webp
https://files.tungsten.run/uploads/49934952d50340b89dcc25339b0cd1c3/00002-2145508528.webp
https://files.tungsten.run/uploads/99e54485f2914375b46b9eeec2fbdc70/00003-2145508529.webp
Finished in 51.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: epiC35mm, Ultra Realistic concept photo of a city street, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1> Full negative prompt: (easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative 0%| | 0/58 [00:00<?, ?it/s] 2%|▏ | 1/58 [00:01<01:11, 1.25s/it] 3%|▎ | 2/58 [00:01<00:51, 1.10it/s] 5%|▌ | 3/58 [00:02<00:43, 1.26it/s] 7%|▋ | 4/58 [00:03<00:40, 1.34it/s] 9%|▊ | 5/58 [00:03<00:38, 1.39it/s] 10%|█ | 6/58 [00:04<00:36, 1.43it/s] 12%|█▏ | 7/58 [00:05<00:35, 1.44it/s] 14%|█▍ | 8/58 [00:05<00:34, 1.46it/s] 16%|█▌ | 9/58 [00:06<00:33, 1.47it/s] 17%|█▋ | 10/58 [00:07<00:32, 1.47it/s] 19%|█▉ | 11/58 [00:07<00:31, 1.48it/s] 21%|██ | 12/58 [00:08<00:31, 1.48it/s] 22%|██▏ | 13/58 [00:09<00:30, 1.48it/s] 24%|██▍ | 14/58 [00:09<00:29, 1.47it/s] 26%|██▌ | 15/58 [00:10<00:29, 1.47it/s] 28%|██▊ | 16/58 [00:11<00:28, 1.47it/s] 29%|██▉ | 17/58 [00:12<00:27, 1.47it/s] 31%|███ | 18/58 [00:12<00:27, 1.47it/s] 33%|███▎ | 19/58 [00:13<00:26, 1.47it/s] 34%|███▍ | 20/58 [00:14<00:25, 1.47it/s] 36%|███▌ | 21/58 [00:14<00:25, 1.47it/s] 38%|███▊ | 22/58 [00:15<00:24, 1.47it/s] 40%|███▉ | 23/58 [00:16<00:23, 1.47it/s] 41%|████▏ | 24/58 [00:16<00:23, 1.47it/s] 43%|████▎ | 25/58 [00:17<00:22, 1.47it/s] 45%|████▍ | 26/58 [00:18<00:21, 1.47it/s] 47%|████▋ | 27/58 [00:18<00:21, 1.47it/s] 48%|████▊ | 28/58 [00:19<00:20, 1.47it/s] 50%|█████ | 29/58 [00:20<00:19, 1.47it/s] 52%|█████▏ | 30/58 [00:20<00:19, 1.47it/s] 53%|█████▎ | 31/58 [00:21<00:18, 1.47it/s] 55%|█████▌ | 32/58 [00:22<00:17, 1.47it/s] 57%|█████▋ | 33/58 [00:22<00:17, 1.47it/s] 59%|█████▊ | 34/58 [00:23<00:16, 1.47it/s] 60%|██████ | 35/58 [00:24<00:15, 1.47it/s] 62%|██████▏ | 36/58 [00:24<00:14, 1.47it/s] 64%|██████▍ | 37/58 [00:25<00:14, 1.47it/s] 66%|██████▌ | 38/58 [00:26<00:13, 1.47it/s] 67%|██████▋ | 39/58 [00:26<00:12, 1.47it/s] 69%|██████▉ | 40/58 [00:27<00:12, 1.47it/s] 71%|███████ | 41/58 [00:28<00:11, 1.47it/s] 72%|███████▏ | 42/58 [00:29<00:10, 1.47it/s] 74%|███████▍ | 43/58 [00:29<00:10, 1.47it/s] 76%|███████▌ | 44/58 [00:30<00:09, 1.47it/s] 78%|███████▊ | 45/58 [00:31<00:08, 1.47it/s] 79%|███████▉ | 46/58 [00:31<00:08, 1.47it/s] 81%|████████ | 47/58 [00:32<00:07, 1.47it/s] 83%|████████▎ | 48/58 [00:33<00:06, 1.47it/s] 84%|████████▍ | 49/58 [00:33<00:06, 1.47it/s] 86%|████████▌ | 50/58 [00:34<00:05, 1.47it/s] 88%|████████▊ | 51/58 [00:35<00:04, 1.47it/s] 90%|████████▉ | 52/58 [00:35<00:04, 1.47it/s] 91%|█████████▏| 53/58 [00:36<00:03, 1.47it/s] 93%|█████████▎| 54/58 [00:37<00:02, 1.47it/s] 95%|█████████▍| 55/58 [00:37<00:02, 1.48it/s] 97%|█████████▋| 56/58 [00:38<00:01, 1.47it/s] 98%|█████████▊| 57/58 [00:39<00:00, 1.47it/s] 100%|██████████| 58/58 [00:39<00:00, 1.48it/s] 100%|██████████| 58/58 [00:39<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
epiC35mm, Ultra Realistic concept photo of a city street, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1>
negative_prompt
Specify things to not see in the output
(easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative
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.
2145508526
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
58
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
more_details.safetensors
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)
easynegative.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCNegative.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/96bef16b9488486eae8b604348de50bb/00000-2145508526.webp
https://files.tungsten.run/uploads/95e7daca45dc4e1b99c21158904f7731/00001-2145508527.webp
https://files.tungsten.run/uploads/49934952d50340b89dcc25339b0cd1c3/00002-2145508528.webp
https://files.tungsten.run/uploads/99e54485f2914375b46b9eeec2fbdc70/00003-2145508529.webp
Finished in 51.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: epiC35mm, Ultra Realistic concept photo of a city street, cinematic, high budget, epic realistic, photorealistic, highest quality, skin texture, intricate details, (cinematic lighting), RAW photo, 8k, <lora:more_details:0.8>, <lora:epiC35mm:1> Full negative prompt: (easynegative), monochrome, (low quality, worst quality:1.2), (multiples views:1.2), wrong hands, deformed fingers, author signature, text, watermark, nsfw, epiCNegative 0%| | 0/58 [00:00<?, ?it/s] 2%|▏ | 1/58 [00:01<01:11, 1.25s/it] 3%|▎ | 2/58 [00:01<00:51, 1.10it/s] 5%|▌ | 3/58 [00:02<00:43, 1.26it/s] 7%|▋ | 4/58 [00:03<00:40, 1.34it/s] 9%|▊ | 5/58 [00:03<00:38, 1.39it/s] 10%|█ | 6/58 [00:04<00:36, 1.43it/s] 12%|█▏ | 7/58 [00:05<00:35, 1.44it/s] 14%|█▍ | 8/58 [00:05<00:34, 1.46it/s] 16%|█▌ | 9/58 [00:06<00:33, 1.47it/s] 17%|█▋ | 10/58 [00:07<00:32, 1.47it/s] 19%|█▉ | 11/58 [00:07<00:31, 1.48it/s] 21%|██ | 12/58 [00:08<00:31, 1.48it/s] 22%|██▏ | 13/58 [00:09<00:30, 1.48it/s] 24%|██▍ | 14/58 [00:09<00:29, 1.47it/s] 26%|██▌ | 15/58 [00:10<00:29, 1.47it/s] 28%|██▊ | 16/58 [00:11<00:28, 1.47it/s] 29%|██▉ | 17/58 [00:12<00:27, 1.47it/s] 31%|███ | 18/58 [00:12<00:27, 1.47it/s] 33%|███▎ | 19/58 [00:13<00:26, 1.47it/s] 34%|███▍ | 20/58 [00:14<00:25, 1.47it/s] 36%|███▌ | 21/58 [00:14<00:25, 1.47it/s] 38%|███▊ | 22/58 [00:15<00:24, 1.47it/s] 40%|███▉ | 23/58 [00:16<00:23, 1.47it/s] 41%|████▏ | 24/58 [00:16<00:23, 1.47it/s] 43%|████▎ | 25/58 [00:17<00:22, 1.47it/s] 45%|████▍ | 26/58 [00:18<00:21, 1.47it/s] 47%|████▋ | 27/58 [00:18<00:21, 1.47it/s] 48%|████▊ | 28/58 [00:19<00:20, 1.47it/s] 50%|█████ | 29/58 [00:20<00:19, 1.47it/s] 52%|█████▏ | 30/58 [00:20<00:19, 1.47it/s] 53%|█████▎ | 31/58 [00:21<00:18, 1.47it/s] 55%|█████▌ | 32/58 [00:22<00:17, 1.47it/s] 57%|█████▋ | 33/58 [00:22<00:17, 1.47it/s] 59%|█████▊ | 34/58 [00:23<00:16, 1.47it/s] 60%|██████ | 35/58 [00:24<00:15, 1.47it/s] 62%|██████▏ | 36/58 [00:24<00:14, 1.47it/s] 64%|██████▍ | 37/58 [00:25<00:14, 1.47it/s] 66%|██████▌ | 38/58 [00:26<00:13, 1.47it/s] 67%|██████▋ | 39/58 [00:26<00:12, 1.47it/s] 69%|██████▉ | 40/58 [00:27<00:12, 1.47it/s] 71%|███████ | 41/58 [00:28<00:11, 1.47it/s] 72%|███████▏ | 42/58 [00:29<00:10, 1.47it/s] 74%|███████▍ | 43/58 [00:29<00:10, 1.47it/s] 76%|███████▌ | 44/58 [00:30<00:09, 1.47it/s] 78%|███████▊ | 45/58 [00:31<00:08, 1.47it/s] 79%|███████▉ | 46/58 [00:31<00:08, 1.47it/s] 81%|████████ | 47/58 [00:32<00:07, 1.47it/s] 83%|████████▎ | 48/58 [00:33<00:06, 1.47it/s] 84%|████████▍ | 49/58 [00:33<00:06, 1.47it/s] 86%|████████▌ | 50/58 [00:34<00:05, 1.47it/s] 88%|████████▊ | 51/58 [00:35<00:04, 1.47it/s] 90%|████████▉ | 52/58 [00:35<00:04, 1.47it/s] 91%|█████████▏| 53/58 [00:36<00:03, 1.47it/s] 93%|█████████▎| 54/58 [00:37<00:02, 1.47it/s] 95%|█████████▍| 55/58 [00:37<00:02, 1.48it/s] 97%|█████████▋| 56/58 [00:38<00:01, 1.47it/s] 98%|█████████▊| 57/58 [00:39<00:00, 1.47it/s] 100%|██████████| 58/58 [00:39<00:00, 1.48it/s] 100%|██████████| 58/58 [00:39<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s