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Chef Skeleton with GgponB
ggponb:v1.0
evevalentine2017
evevalentine2017
·
Jan 12
336
Input
prompt
Specify things to see in the output
chef skeleton is cooking stew in a dark basement, (chef hat), no humans, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
(more than 2 arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts)
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
false
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
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.52
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3426640349
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
Euler a
samping_steps
Number of denoising steps
14
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
1
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>
more_details.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)
bhands-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/3d71eb2f0d1f4ebf81d99b5adf97344a/00000-3426640349.webp
https://files.tungsten.run/uploads/b1ce96033e6e48599b98a42168e9167a/00001-3426640350.webp
https://files.tungsten.run/uploads/d38642c16f6341418252c35234177ad1/00002-3426640351.webp
https://files.tungsten.run/uploads/9f1d503644804a9f8e56a407c0b4457f/00003-3426640352.webp
Finished in 25.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: chef skeleton is cooking stew in a dark basement, (chef hat), no humans, <lora:more_details:0.8>, <lora:add_brightness:0.2>, <lora:add_saturation:-0.52> Full negative prompt: (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:16, 1.27s/it] 14%|█▍ | 2/14 [00:01<00:11, 1.08it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.24it/s] 29%|██▊ | 4/14 [00:03<00:07, 1.31it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.36it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.40it/s] 50%|█████ | 7/14 [00:05<00:04, 1.41it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.43it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.44it/s] 71%|███████▏ | 10/14 [00:07<00:02, 1.44it/s] 79%|███████▊ | 11/14 [00:08<00:02, 1.45it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.45it/s] 93%|█████████▎| 13/14 [00:09<00:00, 1.45it/s] 100%|██████████| 14/14 [00:10<00:00, 1.46it/s] 100%|██████████| 14/14 [00:10<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 11.2ms Speed: 3.8ms preprocess, 11.2ms inference, 50.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.68it/s] 29%|██▊ | 2/7 [00:00<00:01, 3.97it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.72it/s] 57%|█████▋ | 4/7 [00:00<00:00, 5.24it/s] 71%|███████▏ | 5/7 [00:01<00:00, 5.61it/s] 86%|████████▌ | 6/7 [00:01<00:00, 5.72it/s] 100%|██████████| 7/7 [00:01<00:00, 5.88it/s] 100%|██████████| 7/7 [00:01<00:00, 5.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:00, 6.68it/s] 29%|██▊ | 2/7 [00:00<00:00, 6.49it/s] 43%|████▎ | 3/7 [00:00<00:00, 6.47it/s] 57%|█████▋ | 4/7 [00:00<00:00, 6.42it/s] 71%|███████▏ | 5/7 [00:00<00:00, 6.38it/s] 86%|████████▌ | 6/7 [00:00<00:00, 6.26it/s] 100%|██████████| 7/7 [00:01<00:00, 6.27it/s] 100%|██████████| 7/7 [00:01<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms 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), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
chef skeleton is cooking stew in a dark basement, (chef hat), no humans, <lora:more_details:0.8>
negative_prompt
Specify things to not see in the output
(more than 2 arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts)
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
false
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
0.2
contrast
Adjust contrast
0
saturation
Adjust saturation
-0.52
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3426640349
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
Euler a
samping_steps
Number of denoising steps
14
cfg_scale
Scale for classifier-free guidance
4.5
clip_skip
The number of last layers of CLIP network to skip
1
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>
more_details.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)
bhands-neg.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
EasyNegativeV2.safetensors
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad-picture-chill-75v.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/3d71eb2f0d1f4ebf81d99b5adf97344a/00000-3426640349.webp
https://files.tungsten.run/uploads/b1ce96033e6e48599b98a42168e9167a/00001-3426640350.webp
https://files.tungsten.run/uploads/d38642c16f6341418252c35234177ad1/00002-3426640351.webp
https://files.tungsten.run/uploads/9f1d503644804a9f8e56a407c0b4457f/00003-3426640352.webp
Finished in 25.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: chef skeleton is cooking stew in a dark basement, (chef hat), no humans, <lora:more_details:0.8>, <lora:add_brightness:0.2>, <lora:add_saturation:-0.52> Full negative prompt: (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:16, 1.27s/it] 14%|█▍ | 2/14 [00:01<00:11, 1.08it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.24it/s] 29%|██▊ | 4/14 [00:03<00:07, 1.31it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.36it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.40it/s] 50%|█████ | 7/14 [00:05<00:04, 1.41it/s] 57%|█████▋ | 8/14 [00:06<00:04, 1.43it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.44it/s] 71%|███████▏ | 10/14 [00:07<00:02, 1.44it/s] 79%|███████▊ | 11/14 [00:08<00:02, 1.45it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.45it/s] 93%|█████████▎| 13/14 [00:09<00:00, 1.45it/s] 100%|██████████| 14/14 [00:10<00:00, 1.46it/s] 100%|██████████| 14/14 [00:10<00:00, 1.38it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 11.2ms Speed: 3.8ms preprocess, 11.2ms inference, 50.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.68it/s] 29%|██▊ | 2/7 [00:00<00:01, 3.97it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.72it/s] 57%|█████▋ | 4/7 [00:00<00:00, 5.24it/s] 71%|███████▏ | 5/7 [00:01<00:00, 5.61it/s] 86%|████████▌ | 6/7 [00:01<00:00, 5.72it/s] 100%|██████████| 7/7 [00:01<00:00, 5.88it/s] 100%|██████████| 7/7 [00:01<00:00, 5.20it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:00, 6.68it/s] 29%|██▊ | 2/7 [00:00<00:00, 6.49it/s] 43%|████▎ | 3/7 [00:00<00:00, 6.47it/s] 57%|█████▋ | 4/7 [00:00<00:00, 6.42it/s] 71%|███████▏ | 5/7 [00:00<00:00, 6.38it/s] 86%|████████▌ | 6/7 [00:00<00:00, 6.26it/s] 100%|██████████| 7/7 [00:01<00:00, 6.27it/s] 100%|██████████| 7/7 [00:01<00:00, 6.35it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.8ms preprocess, 7.1ms 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), 7.3ms Speed: 2.7ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.