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Img2Img on a Bing Image Creator output
protovision-xl:r0.6.2.0-base-v4.3
operator97
operator97
·
Jan 16
387
Input
prompt
Specify things to see in the output
a robot that is standing in the street, by Jeffrey Smith, cgsociety contest winner, highly detailed vfx, destructive, taken in 2022, very detailed ”, raytraced, raytracing, RTX, 8K, 4K, HDRI, UHD, extremely detailed, intricately detailed, studio quality, film quality, perfect lighting, perfect shadows, perfect textures, antialiasing, volumetric fog, detailed background, holding gun, photorealistic, lifelike
negative_prompt
Specify things to not see in the output
low quality, low resolution, low detail, out of focus, smudged, smeared, unrefined, unfinished, blurry, pixelated, artifacts, compression, JPEG
num_outputs
Number of output images
1
width
Output image width
2048
height
Output image height
2048
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
2
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.
https://files.tungsten.run/uploads/8e7bf5a25f874b9d900a47efa027ae02/6d3822d1-13ad-41e9-b248-d7cafef76061.png
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)
https://files.tungsten.run/uploads/9abd81ea7cd84a6eb891d7ea7eabd7e2/6d3822d1-13ad-41e9-b248-d7cafef76061.png
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++ 3M SDE Karras
samping_steps
Number of denoising steps
80
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
1
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.
true
Output
https://files.tungsten.run/uploads/8b958d30e62f41bc9c1d2a88e130d266/00000-902223072.png
Finished in 312.0 seconds
Setting up the model... Preparing inputs... Processing... Using seed 902223072 Full prompt: a robot that is standing in the street, by Jeffrey Smith, cgsociety contest winner, highly detailed vfx, destructive, taken in 2022, very detailed ”, raytraced, raytracing, RTX, 8K, 4K, HDRI, UHD, extremely detailed, intricately detailed, studio quality, film quality, perfect lighting, perfect shadows, perfect textures, antialiasing, volumetric fog, detailed background, holding gun, photorealistic, lifelike, <lora:add-detail-xl:2.0> Full negative prompt: low quality, low resolution, low detail, out of focus, smudged, smeared, unrefined, unfinished, blurry, pixelated, artifacts, compression, JPEG Loading preprocessor: reference_only preprocessor resolution = -1 ControlNet Hooked - Time = 3.3472800254821777 0%| | 0/45 [00:00<?, ?it/s]ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 256, 256]). 2%|▏ | 1/45 [00:11<08:06, 11.06s/it] 4%|▍ | 2/45 [00:17<06:04, 8.48s/it] 7%|▋ | 3/45 [00:24<05:19, 7.61s/it] 9%|▉ | 4/45 [00:31<04:58, 7.28s/it] 11%|█ | 5/45 [00:37<04:37, 6.95s/it] 13%|█▎ | 6/45 [00:43<04:21, 6.70s/it] 16%|█▌ | 7/45 [00:50<04:16, 6.75s/it] 18%|█▊ | 8/45 [00:57<04:09, 6.74s/it] 20%|██ | 9/45 [01:03<04:00, 6.68s/it] 22%|██▏ | 10/45 [01:10<03:54, 6.71s/it] 24%|██▍ | 11/45 [01:17<03:49, 6.75s/it] 27%|██▋ | 12/45 [01:24<03:44, 6.80s/it] 29%|██▉ | 13/45 [01:31<03:39, 6.87s/it] 31%|███ | 14/45 [01:37<03:29, 6.77s/it] 33%|███▎ | 15/45 [01:44<03:24, 6.82s/it] 36%|███▌ | 16/45 [01:51<03:15, 6.73s/it] 38%|███▊ | 17/45 [01:57<03:06, 6.64s/it] 40%|████ | 18/45 [02:04<02:58, 6.61s/it] 42%|████▏ | 19/45 [02:10<02:50, 6.57s/it] 44%|████▍ | 20/45 [02:17<02:44, 6.56s/it] 47%|████▋ | 21/45 [02:23<02:37, 6.57s/it] 49%|████▉ | 22/45 [02:30<02:30, 6.56s/it] 51%|█████ | 23/45 [02:37<02:24, 6.57s/it] 53%|█████▎ | 24/45 [02:43<02:15, 6.48s/it] 56%|█████▌ | 25/45 [02:49<02:10, 6.52s/it] 58%|█████▊ | 26/45 [02:56<02:03, 6.50s/it] 60%|██████ | 27/45 [03:02<01:56, 6.49s/it] 62%|██████▏ | 28/45 [03:09<01:50, 6.52s/it] 64%|██████▍ | 29/45 [03:15<01:43, 6.48s/it] 67%|██████▋ | 30/45 [03:22<01:35, 6.39s/it] 69%|██████▉ | 31/45 [03:28<01:31, 6.54s/it] 71%|███████ | 32/45 [03:35<01:24, 6.52s/it] 73%|███████▎ | 33/45 [03:41<01:16, 6.36s/it] 76%|███████▌ | 34/45 [03:47<01:08, 6.24s/it] 78%|███████▊ | 35/45 [03:53<01:02, 6.21s/it] 80%|████████ | 36/45 [04:00<00:56, 6.32s/it] 82%|████████▏ | 37/45 [04:06<00:50, 6.27s/it] 84%|████████▍ | 38/45 [04:12<00:43, 6.19s/it] 87%|████████▋ | 39/45 [04:18<00:37, 6.32s/it] 89%|████████▉ | 40/45 [04:24<00:31, 6.26s/it] 91%|█████████ | 41/45 [04:30<00:24, 6.18s/it] 93%|█████████▎| 42/45 [04:37<00:18, 6.27s/it] 96%|█████████▌| 43/45 [04:43<00:12, 6.15s/it] 98%|█████████▊| 44/45 [04:48<00:05, 5.86s/it] 100%|██████████| 45/45 [04:53<00:00, 5.60s/it] 100%|██████████| 45/45 [04:53<00:00, 6.52s/it] Decoding latents in cuda:0... done in 4.41s Move latents to cpu... done in 0.04s Uploading outputs... Finished.
prompt
Specify things to see in the output
a robot that is standing in the street, by Jeffrey Smith, cgsociety contest winner, highly detailed vfx, destructive, taken in 2022, very detailed ”, raytraced, raytracing, RTX, 8K, 4K, HDRI, UHD, extremely detailed, intricately detailed, studio quality, film quality, perfect lighting, perfect shadows, perfect textures, antialiasing, volumetric fog, detailed background, holding gun, photorealistic, lifelike
negative_prompt
Specify things to not see in the output
low quality, low resolution, low detail, out of focus, smudged, smeared, unrefined, unfinished, blurry, pixelated, artifacts, compression, JPEG
num_outputs
Number of output images
1
width
Output image width
2048
height
Output image height
2048
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
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
2
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.
https://files.tungsten.run/uploads/8e7bf5a25f874b9d900a47efa027ae02/6d3822d1-13ad-41e9-b248-d7cafef76061.png
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)
https://files.tungsten.run/uploads/9abd81ea7cd84a6eb891d7ea7eabd7e2/6d3822d1-13ad-41e9-b248-d7cafef76061.png
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++ 3M SDE Karras
samping_steps
Number of denoising steps
80
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
1
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.
true
https://files.tungsten.run/uploads/8b958d30e62f41bc9c1d2a88e130d266/00000-902223072.png
Finished in 312.0 seconds
Setting up the model... Preparing inputs... Processing... Using seed 902223072 Full prompt: a robot that is standing in the street, by Jeffrey Smith, cgsociety contest winner, highly detailed vfx, destructive, taken in 2022, very detailed ”, raytraced, raytracing, RTX, 8K, 4K, HDRI, UHD, extremely detailed, intricately detailed, studio quality, film quality, perfect lighting, perfect shadows, perfect textures, antialiasing, volumetric fog, detailed background, holding gun, photorealistic, lifelike, <lora:add-detail-xl:2.0> Full negative prompt: low quality, low resolution, low detail, out of focus, smudged, smeared, unrefined, unfinished, blurry, pixelated, artifacts, compression, JPEG Loading preprocessor: reference_only preprocessor resolution = -1 ControlNet Hooked - Time = 3.3472800254821777 0%| | 0/45 [00:00<?, ?it/s]ControlNet used torch.float32 VAE to encode torch.Size([1, 4, 256, 256]). 2%|▏ | 1/45 [00:11<08:06, 11.06s/it] 4%|▍ | 2/45 [00:17<06:04, 8.48s/it] 7%|▋ | 3/45 [00:24<05:19, 7.61s/it] 9%|▉ | 4/45 [00:31<04:58, 7.28s/it] 11%|█ | 5/45 [00:37<04:37, 6.95s/it] 13%|█▎ | 6/45 [00:43<04:21, 6.70s/it] 16%|█▌ | 7/45 [00:50<04:16, 6.75s/it] 18%|█▊ | 8/45 [00:57<04:09, 6.74s/it] 20%|██ | 9/45 [01:03<04:00, 6.68s/it] 22%|██▏ | 10/45 [01:10<03:54, 6.71s/it] 24%|██▍ | 11/45 [01:17<03:49, 6.75s/it] 27%|██▋ | 12/45 [01:24<03:44, 6.80s/it] 29%|██▉ | 13/45 [01:31<03:39, 6.87s/it] 31%|███ | 14/45 [01:37<03:29, 6.77s/it] 33%|███▎ | 15/45 [01:44<03:24, 6.82s/it] 36%|███▌ | 16/45 [01:51<03:15, 6.73s/it] 38%|███▊ | 17/45 [01:57<03:06, 6.64s/it] 40%|████ | 18/45 [02:04<02:58, 6.61s/it] 42%|████▏ | 19/45 [02:10<02:50, 6.57s/it] 44%|████▍ | 20/45 [02:17<02:44, 6.56s/it] 47%|████▋ | 21/45 [02:23<02:37, 6.57s/it] 49%|████▉ | 22/45 [02:30<02:30, 6.56s/it] 51%|█████ | 23/45 [02:37<02:24, 6.57s/it] 53%|█████▎ | 24/45 [02:43<02:15, 6.48s/it] 56%|█████▌ | 25/45 [02:49<02:10, 6.52s/it] 58%|█████▊ | 26/45 [02:56<02:03, 6.50s/it] 60%|██████ | 27/45 [03:02<01:56, 6.49s/it] 62%|██████▏ | 28/45 [03:09<01:50, 6.52s/it] 64%|██████▍ | 29/45 [03:15<01:43, 6.48s/it] 67%|██████▋ | 30/45 [03:22<01:35, 6.39s/it] 69%|██████▉ | 31/45 [03:28<01:31, 6.54s/it] 71%|███████ | 32/45 [03:35<01:24, 6.52s/it] 73%|███████▎ | 33/45 [03:41<01:16, 6.36s/it] 76%|███████▌ | 34/45 [03:47<01:08, 6.24s/it] 78%|███████▊ | 35/45 [03:53<01:02, 6.21s/it] 80%|████████ | 36/45 [04:00<00:56, 6.32s/it] 82%|████████▏ | 37/45 [04:06<00:50, 6.27s/it] 84%|████████▍ | 38/45 [04:12<00:43, 6.19s/it] 87%|████████▋ | 39/45 [04:18<00:37, 6.32s/it] 89%|████████▉ | 40/45 [04:24<00:31, 6.26s/it] 91%|█████████ | 41/45 [04:30<00:24, 6.18s/it] 93%|█████████▎| 42/45 [04:37<00:18, 6.27s/it] 96%|█████████▌| 43/45 [04:43<00:12, 6.15s/it] 98%|█████████▊| 44/45 [04:48<00:05, 5.86s/it] 100%|██████████| 45/45 [04:53<00:00, 5.60s/it] 100%|██████████| 45/45 [04:53<00:00, 6.52s/it] Decoding latents in cuda:0... done in 4.41s Move latents to cpu... done in 0.04s Uploading outputs... Finished.