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Hello Kitty Robot with Grimlock SDXL
grimlock-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 13
347
Input
prompt
Specify things to see in the output
Robot Hello Kitty
negative_prompt
Specify things to not see in the output
nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings
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.
3883610029
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
52
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
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)
ac_neg1.safetensors
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/d0e76e9fd1554d7aa663ed42e2479fec/00000-3883610029.webp
https://files.tungsten.run/uploads/8cd83e68d6064c7dad413a35dbcb5886/00001-3883610030.webp
https://files.tungsten.run/uploads/cb4570b7f6f64d58bc656c79ac681198/00002-3883610031.webp
Finished in 110.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, Robot Hello Kitty Full negative prompt: nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings 0%| | 0/52 [00:00<?, ?it/s] 2%|▏ | 1/52 [00:01<01:19, 1.56s/it] 4%|▍ | 2/52 [00:03<01:28, 1.76s/it] 6%|▌ | 3/52 [00:05<01:35, 1.94s/it] 8%|▊ | 4/52 [00:07<01:34, 1.97s/it] 10%|▉ | 5/52 [00:09<01:35, 2.03s/it] 12%|█▏ | 6/52 [00:11<01:34, 2.05s/it] 13%|█▎ | 7/52 [00:13<01:30, 2.02s/it] 15%|█▌ | 8/52 [00:15<01:27, 1.98s/it] 17%|█▋ | 9/52 [00:17<01:27, 2.03s/it] 19%|█▉ | 10/52 [00:19<01:24, 2.01s/it] 21%|██ | 11/52 [00:21<01:20, 1.97s/it] 23%|██▎ | 12/52 [00:23<01:20, 2.01s/it] 25%|██▌ | 13/52 [00:25<01:17, 1.98s/it] 27%|██▋ | 14/52 [00:28<01:24, 2.22s/it] 29%|██▉ | 15/52 [00:31<01:27, 2.38s/it] 31%|███ | 16/52 [00:34<01:32, 2.57s/it] 33%|███▎ | 17/52 [00:36<01:25, 2.44s/it] 35%|███▍ | 18/52 [00:38<01:19, 2.33s/it] 37%|███▋ | 19/52 [00:40<01:14, 2.26s/it] 38%|███▊ | 20/52 [00:42<01:09, 2.18s/it] 40%|████ | 21/52 [00:44<01:06, 2.14s/it] 42%|████▏ | 22/52 [00:46<01:01, 2.06s/it] 44%|████▍ | 23/52 [00:48<00:59, 2.05s/it] 46%|████▌ | 24/52 [00:50<00:57, 2.04s/it] 48%|████▊ | 25/52 [00:52<00:53, 1.97s/it] 50%|█████ | 26/52 [00:54<00:51, 1.98s/it] 52%|█████▏ | 27/52 [00:56<00:48, 1.94s/it] 54%|█████▍ | 28/52 [00:58<00:46, 1.94s/it] 56%|█████▌ | 29/52 [01:00<00:44, 1.94s/it] 58%|█████▊ | 30/52 [01:01<00:42, 1.92s/it] 60%|█████▉ | 31/52 [01:03<00:39, 1.90s/it] 62%|██████▏ | 32/52 [01:05<00:37, 1.88s/it] 63%|██████▎ | 33/52 [01:07<00:36, 1.91s/it] 65%|██████▌ | 34/52 [01:09<00:34, 1.93s/it] 67%|██████▋ | 35/52 [01:11<00:32, 1.92s/it] 69%|██████▉ | 36/52 [01:13<00:31, 1.94s/it] 71%|███████ | 37/52 [01:15<00:28, 1.92s/it] 73%|███████▎ | 38/52 [01:17<00:26, 1.91s/it] 75%|███████▌ | 39/52 [01:18<00:24, 1.87s/it] 77%|███████▋ | 40/52 [01:20<00:21, 1.81s/it] 79%|███████▉ | 41/52 [01:22<00:20, 1.85s/it] 81%|████████ | 42/52 [01:24<00:18, 1.80s/it] 83%|████████▎ | 43/52 [01:26<00:16, 1.87s/it] 85%|████████▍ | 44/52 [01:28<00:14, 1.84s/it] 87%|████████▋ | 45/52 [01:29<00:12, 1.82s/it] 88%|████████▊ | 46/52 [01:31<00:10, 1.83s/it] 90%|█████████ | 47/52 [01:33<00:09, 1.82s/it] 92%|█████████▏| 48/52 [01:35<00:07, 1.80s/it] 94%|█████████▍| 49/52 [01:36<00:05, 1.73s/it] 96%|█████████▌| 50/52 [01:38<00:03, 1.80s/it] 98%|█████████▊| 51/52 [01:39<00:01, 1.61s/it] 100%|██████████| 52/52 [01:40<00:00, 1.41s/it] 100%|██████████| 52/52 [01:40<00:00, 1.94s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 167.3ms Speed: 2.9ms preprocess, 167.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Robot Hello Kitty
negative_prompt
Specify things to not see in the output
nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings
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.
3883610029
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
52
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
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)
ac_neg1.safetensors
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/d0e76e9fd1554d7aa663ed42e2479fec/00000-3883610029.webp
https://files.tungsten.run/uploads/8cd83e68d6064c7dad413a35dbcb5886/00001-3883610030.webp
https://files.tungsten.run/uploads/cb4570b7f6f64d58bc656c79ac681198/00002-3883610031.webp
Finished in 110.8 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: yamer style, Robot Hello Kitty Full negative prompt: nsfw, nipples, ac_neg1, worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, extra fingers, multiple limbs, extra limbs, deformed limbs, cartoon, rendering, 3d, painting, drawings 0%| | 0/52 [00:00<?, ?it/s] 2%|▏ | 1/52 [00:01<01:19, 1.56s/it] 4%|▍ | 2/52 [00:03<01:28, 1.76s/it] 6%|▌ | 3/52 [00:05<01:35, 1.94s/it] 8%|▊ | 4/52 [00:07<01:34, 1.97s/it] 10%|▉ | 5/52 [00:09<01:35, 2.03s/it] 12%|█▏ | 6/52 [00:11<01:34, 2.05s/it] 13%|█▎ | 7/52 [00:13<01:30, 2.02s/it] 15%|█▌ | 8/52 [00:15<01:27, 1.98s/it] 17%|█▋ | 9/52 [00:17<01:27, 2.03s/it] 19%|█▉ | 10/52 [00:19<01:24, 2.01s/it] 21%|██ | 11/52 [00:21<01:20, 1.97s/it] 23%|██▎ | 12/52 [00:23<01:20, 2.01s/it] 25%|██▌ | 13/52 [00:25<01:17, 1.98s/it] 27%|██▋ | 14/52 [00:28<01:24, 2.22s/it] 29%|██▉ | 15/52 [00:31<01:27, 2.38s/it] 31%|███ | 16/52 [00:34<01:32, 2.57s/it] 33%|███▎ | 17/52 [00:36<01:25, 2.44s/it] 35%|███▍ | 18/52 [00:38<01:19, 2.33s/it] 37%|███▋ | 19/52 [00:40<01:14, 2.26s/it] 38%|███▊ | 20/52 [00:42<01:09, 2.18s/it] 40%|████ | 21/52 [00:44<01:06, 2.14s/it] 42%|████▏ | 22/52 [00:46<01:01, 2.06s/it] 44%|████▍ | 23/52 [00:48<00:59, 2.05s/it] 46%|████▌ | 24/52 [00:50<00:57, 2.04s/it] 48%|████▊ | 25/52 [00:52<00:53, 1.97s/it] 50%|█████ | 26/52 [00:54<00:51, 1.98s/it] 52%|█████▏ | 27/52 [00:56<00:48, 1.94s/it] 54%|█████▍ | 28/52 [00:58<00:46, 1.94s/it] 56%|█████▌ | 29/52 [01:00<00:44, 1.94s/it] 58%|█████▊ | 30/52 [01:01<00:42, 1.92s/it] 60%|█████▉ | 31/52 [01:03<00:39, 1.90s/it] 62%|██████▏ | 32/52 [01:05<00:37, 1.88s/it] 63%|██████▎ | 33/52 [01:07<00:36, 1.91s/it] 65%|██████▌ | 34/52 [01:09<00:34, 1.93s/it] 67%|██████▋ | 35/52 [01:11<00:32, 1.92s/it] 69%|██████▉ | 36/52 [01:13<00:31, 1.94s/it] 71%|███████ | 37/52 [01:15<00:28, 1.92s/it] 73%|███████▎ | 38/52 [01:17<00:26, 1.91s/it] 75%|███████▌ | 39/52 [01:18<00:24, 1.87s/it] 77%|███████▋ | 40/52 [01:20<00:21, 1.81s/it] 79%|███████▉ | 41/52 [01:22<00:20, 1.85s/it] 81%|████████ | 42/52 [01:24<00:18, 1.80s/it] 83%|████████▎ | 43/52 [01:26<00:16, 1.87s/it] 85%|████████▍ | 44/52 [01:28<00:14, 1.84s/it] 87%|████████▋ | 45/52 [01:29<00:12, 1.82s/it] 88%|████████▊ | 46/52 [01:31<00:10, 1.83s/it] 90%|█████████ | 47/52 [01:33<00:09, 1.82s/it] 92%|█████████▏| 48/52 [01:35<00:07, 1.80s/it] 94%|█████████▍| 49/52 [01:36<00:05, 1.73s/it] 96%|█████████▌| 50/52 [01:38<00:03, 1.80s/it] 98%|█████████▊| 51/52 [01:39<00:01, 1.61s/it] 100%|██████████| 52/52 [01:40<00:00, 1.41s/it] 100%|██████████| 52/52 [01:40<00:00, 1.94s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 167.3ms Speed: 2.9ms preprocess, 167.3ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 7.9ms Speed: 2.3ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.