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Hamsters in Overalls with Grimlock SDXL
grimlock-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 13
358
Input
prompt
Specify things to see in the output
Cute little hamster, anthropomorphic, wearing an overall and a cap
negative_prompt
Specify things to not see in the output
xl_yamer_style
Xl Yamer Style
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1025
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
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1023912748
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++ 3M SDE Karras
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
5
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.
false
Output
https://files.tungsten.run/uploads/93ef8600a8954d4795fe1b56ae139095/00000-1023912748.webp
https://files.tungsten.run/uploads/abdaa9594d86453da55d34dd8b66665a/00001-1023912749.webp
https://files.tungsten.run/uploads/19b2d2696c9c4d799bd0623afab41b76/00002-1023912750.webp
Finished in 84.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, Cute little hamster, anthropomorphic, wearing an overall and a cap Full negative prompt: 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:38, 1.59s/it] 8%|▊ | 2/25 [00:03<00:42, 1.87s/it] 12%|█▏ | 3/25 [00:05<00:44, 2.01s/it] 16%|█▌ | 4/25 [00:07<00:42, 2.03s/it] 20%|██ | 5/25 [00:09<00:40, 2.03s/it] 24%|██▍ | 6/25 [00:11<00:38, 2.03s/it] 28%|██▊ | 7/25 [00:14<00:37, 2.07s/it] 32%|███▏ | 8/25 [00:16<00:34, 2.04s/it] 36%|███▌ | 9/25 [00:17<00:31, 2.00s/it] 40%|████ | 10/25 [00:19<00:29, 1.99s/it] 44%|████▍ | 11/25 [00:22<00:28, 2.01s/it] 48%|████▊ | 12/25 [00:24<00:27, 2.11s/it] 52%|█████▏ | 13/25 [00:26<00:25, 2.09s/it] 56%|█████▌ | 14/25 [00:28<00:22, 2.05s/it] 60%|██████ | 15/25 [00:30<00:20, 2.04s/it] 64%|██████▍ | 16/25 [00:32<00:18, 2.01s/it] 68%|██████▊ | 17/25 [00:34<00:15, 1.99s/it] 72%|███████▏ | 18/25 [00:36<00:13, 1.99s/it] 76%|███████▌ | 19/25 [00:38<00:12, 2.01s/it] 80%|████████ | 20/25 [00:40<00:09, 1.95s/it] 84%|████████▍ | 21/25 [00:42<00:07, 1.98s/it] 88%|████████▊ | 22/25 [00:43<00:05, 1.93s/it] 92%|█████████▏| 23/25 [00:45<00:03, 1.89s/it] 96%|█████████▌| 24/25 [00:47<00:01, 1.70s/it] 100%|██████████| 25/25 [00:47<00:00, 1.48s/it] 100%|██████████| 25/25 [00:47<00:00, 1.92s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.0ms Speed: 2.6ms preprocess, 163.0ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.25it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.33it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.42it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.45it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.45it/s] 50%|█████ | 6/12 [00:04<00:04, 1.45it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.49it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.46it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.47it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.49it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.66it/s] 100%|██████████| 12/12 [00:07<00:00, 1.92it/s] 100%|██████████| 12/12 [00:07<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:07, 1.45it/s] 17%|█▋ | 2/12 [00:01<00:06, 1.44it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.49it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.49it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.49it/s] 50%|█████ | 6/12 [00:04<00:04, 1.48it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.51it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.47it/s] 75%|███████▌ | 9/12 [00:06<00:01, 1.51it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.54it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.71it/s] 100%|██████████| 12/12 [00:07<00:00, 1.96it/s] 100%|██████████| 12/12 [00:07<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.6ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:07, 1.49it/s] 17%|█▋ | 2/12 [00:01<00:06, 1.48it/s] 25%|██▌ | 3/12 [00:01<00:05, 1.54it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.53it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.53it/s] 50%|█████ | 6/12 [00:03<00:03, 1.51it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.56it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.53it/s] 75%|███████▌ | 9/12 [00:05<00:01, 1.56it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.59it/s] 92%|█████████▏| 11/12 [00:06<00:00, 1.75it/s] 100%|██████████| 12/12 [00:07<00:00, 2.01it/s] 100%|██████████| 12/12 [00:07<00:00, 1.66it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Cute little hamster, anthropomorphic, wearing an overall and a cap
negative_prompt
Specify things to not see in the output
xl_yamer_style
Xl Yamer Style
0
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1025
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
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
1023912748
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++ 3M SDE Karras
samping_steps
Number of denoising steps
25
cfg_scale
Scale for classifier-free guidance
5
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.
false
https://files.tungsten.run/uploads/93ef8600a8954d4795fe1b56ae139095/00000-1023912748.webp
https://files.tungsten.run/uploads/abdaa9594d86453da55d34dd8b66665a/00001-1023912749.webp
https://files.tungsten.run/uploads/19b2d2696c9c4d799bd0623afab41b76/00002-1023912750.webp
Finished in 84.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, Cute little hamster, anthropomorphic, wearing an overall and a cap Full negative prompt: 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:01<00:38, 1.59s/it] 8%|▊ | 2/25 [00:03<00:42, 1.87s/it] 12%|█▏ | 3/25 [00:05<00:44, 2.01s/it] 16%|█▌ | 4/25 [00:07<00:42, 2.03s/it] 20%|██ | 5/25 [00:09<00:40, 2.03s/it] 24%|██▍ | 6/25 [00:11<00:38, 2.03s/it] 28%|██▊ | 7/25 [00:14<00:37, 2.07s/it] 32%|███▏ | 8/25 [00:16<00:34, 2.04s/it] 36%|███▌ | 9/25 [00:17<00:31, 2.00s/it] 40%|████ | 10/25 [00:19<00:29, 1.99s/it] 44%|████▍ | 11/25 [00:22<00:28, 2.01s/it] 48%|████▊ | 12/25 [00:24<00:27, 2.11s/it] 52%|█████▏ | 13/25 [00:26<00:25, 2.09s/it] 56%|█████▌ | 14/25 [00:28<00:22, 2.05s/it] 60%|██████ | 15/25 [00:30<00:20, 2.04s/it] 64%|██████▍ | 16/25 [00:32<00:18, 2.01s/it] 68%|██████▊ | 17/25 [00:34<00:15, 1.99s/it] 72%|███████▏ | 18/25 [00:36<00:13, 1.99s/it] 76%|███████▌ | 19/25 [00:38<00:12, 2.01s/it] 80%|████████ | 20/25 [00:40<00:09, 1.95s/it] 84%|████████▍ | 21/25 [00:42<00:07, 1.98s/it] 88%|████████▊ | 22/25 [00:43<00:05, 1.93s/it] 92%|█████████▏| 23/25 [00:45<00:03, 1.89s/it] 96%|█████████▌| 24/25 [00:47<00:01, 1.70s/it] 100%|██████████| 25/25 [00:47<00:00, 1.48s/it] 100%|██████████| 25/25 [00:47<00:00, 1.92s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.0ms Speed: 2.6ms preprocess, 163.0ms inference, 23.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:08, 1.25it/s] 17%|█▋ | 2/12 [00:01<00:07, 1.33it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.42it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.45it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.45it/s] 50%|█████ | 6/12 [00:04<00:04, 1.45it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.49it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.46it/s] 75%|███████▌ | 9/12 [00:06<00:02, 1.47it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.49it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.66it/s] 100%|██████████| 12/12 [00:07<00:00, 1.92it/s] 100%|██████████| 12/12 [00:07<00:00, 1.57it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:07, 1.45it/s] 17%|█▋ | 2/12 [00:01<00:06, 1.44it/s] 25%|██▌ | 3/12 [00:02<00:06, 1.49it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.49it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.49it/s] 50%|█████ | 6/12 [00:04<00:04, 1.48it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.51it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.47it/s] 75%|███████▌ | 9/12 [00:06<00:01, 1.51it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.54it/s] 92%|█████████▏| 11/12 [00:07<00:00, 1.71it/s] 100%|██████████| 12/12 [00:07<00:00, 1.96it/s] 100%|██████████| 12/12 [00:07<00:00, 1.61it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.6ms preprocess, 7.9ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/12 [00:00<?, ?it/s] 8%|▊ | 1/12 [00:00<00:07, 1.49it/s] 17%|█▋ | 2/12 [00:01<00:06, 1.48it/s] 25%|██▌ | 3/12 [00:01<00:05, 1.54it/s] 33%|███▎ | 4/12 [00:02<00:05, 1.53it/s] 42%|████▏ | 5/12 [00:03<00:04, 1.53it/s] 50%|█████ | 6/12 [00:03<00:03, 1.51it/s] 58%|█████▊ | 7/12 [00:04<00:03, 1.56it/s] 67%|██████▋ | 8/12 [00:05<00:02, 1.53it/s] 75%|███████▌ | 9/12 [00:05<00:01, 1.56it/s] 83%|████████▎ | 10/12 [00:06<00:01, 1.59it/s] 92%|█████████▏| 11/12 [00:06<00:00, 1.75it/s] 100%|██████████| 12/12 [00:07<00:00, 2.01it/s] 100%|██████████| 12/12 [00:07<00:00, 1.66it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading outputs... Finished.