He-Man Sketch Toy with Experience SDXL
Input
prompt
Specify things to see in the output
A photo of a red Etch A Sketch toy. The screen of the Etch A Sketch has a drawing of He-Man on the screen. The toy is on a rainbow background, <lora:Etch_A_Sketch-000009:1>, <lora:add-detail-xl:1>
negative_prompt
Specify things to not see in the output
loli, low quality, low detail, worst quality, face asymmetry, eyes asymmetry, deformed eyes, open mouth, text, EasyNegativeV2, unaestheticXL_hk1
num_outputs
Number of output images
3
width
Output image width
1024
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
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.
2184231295
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
55
cfg_scale
Scale for classifier-free guidance
9.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
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/517b56e825d24dc1b03ddd727c8db87b/00000-2184231295.webp
https://files.tungsten.run/uploads/c31f3ce95e054b0c844c8a29cdecca4f/00001-2184231296.webp
https://files.tungsten.run/uploads/aa583d2e975b4a708e4d22cef9b29eae/00002-2184231297.webp
Finished in 173.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A photo of a red Etch A Sketch toy. The screen of the Etch A Sketch has a drawing of He-Man on the screen. The toy is on a rainbow background, <lora:Etch_A_Sketch-000009:1>, <lora:add-detail-xl:2.0> Full negative prompt: loli, low quality, low detail, worst quality, face asymmetry, eyes asymmetry, deformed eyes, open mouth, text, EasyNegativeV2, unaestheticXL_hk1 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 [00:03<02:43, 3.03s/it] 4%|▎ | 2/55 [00:04<01:57, 2.22s/it] 5%|▌ | 3/55 [00:06<01:52, 2.17s/it] 7%|▋ | 4/55 [00:08<01:50, 2.16s/it] 9%|▉ | 5/55 [00:11<01:46, 2.13s/it] 11%|█ | 6/55 [00:13<01:42, 2.09s/it] 13%|█▎ | 7/55 [00:15<01:39, 2.07s/it] 15%|█▍ | 8/55 [00:17<01:36, 2.05s/it] 16%|█▋ | 9/55 [00:19<01:34, 2.06s/it] 18%|█▊ | 10/55 [00:21<01:32, 2.05s/it] 20%|██ | 11/55 [00:23<01:30, 2.06s/it] 22%|██▏ | 12/55 [00:25<01:28, 2.06s/it] 24%|██▎ | 13/55 [00:27<01:25, 2.05s/it] 25%|██▌ | 14/55 [00:29<01:22, 2.00s/it] 27%|██▋ | 15/55 [00:31<01:19, 2.00s/it] 29%|██▉ | 16/55 [00:33<01:18, 2.00s/it] 31%|███ | 17/55 [00:35<01:17, 2.03s/it] 33%|███▎ | 18/55 [00:37<01:13, 1.99s/it] 35%|███▍ | 19/55 [00:39<01:10, 1.96s/it] 36%|███▋ | 20/55 [00:41<01:08, 1.96s/it] 38%|███▊ | 21/55 [00:43<01:06, 1.96s/it] 40%|████ | 22/55 [00:45<01:05, 1.98s/it] 42%|████▏ | 23/55 [00:46<01:02, 1.95s/it] 44%|████▎ | 24/55 [00:49<01:02, 2.02s/it] 45%|████▌ | 25/55 [00:51<01:00, 2.00s/it] 47%|████▋ | 26/55 [00:53<00:58, 2.02s/it] 49%|████▉ | 27/55 [00:55<00:56, 2.03s/it] 51%|█████ | 28/55 [00:57<00:54, 2.01s/it] 53%|█████▎ | 29/55 [00:59<00:51, 1.98s/it] 55%|█████▍ | 30/55 [01:00<00:46, 1.87s/it] 56%|█████▋ | 31/55 [01:02<00:45, 1.89s/it] 58%|█████▊ | 32/55 [01:04<00:44, 1.93s/it] 60%|██████ | 33/55 [01:06<00:43, 1.97s/it] 62%|██████▏ | 34/55 [01:08<00:40, 1.92s/it] 64%|██████▎ | 35/55 [01:10<00:37, 1.90s/it] 65%|██████▌ | 36/55 [01:12<00:36, 1.94s/it] 67%|██████▋ | 37/55 [01:14<00:34, 1.90s/it] 69%|██████▉ | 38/55 [01:16<00:32, 1.91s/it] 71%|███████ | 39/55 [01:18<00:30, 1.92s/it] 73%|███████▎ | 40/55 [01:19<00:28, 1.90s/it] 75%|███████▍ | 41/55 [01:21<00:26, 1.90s/it] 76%|███████▋ | 42/55 [01:23<00:24, 1.87s/it] 78%|███████▊ | 43/55 [01:25<00:22, 1.84s/it] 80%|████████ | 44/55 [01:27<00:19, 1.81s/it] 82%|████████▏ | 45/55 [01:29<00:18, 1.83s/it] 84%|████████▎ | 46/55 [01:30<00:16, 1.78s/it] 85%|████████▌ | 47/55 [01:32<00:14, 1.82s/it] 87%|████████▋ | 48/55 [01:34<00:12, 1.79s/it] 89%|████████▉ | 49/55 [01:36<00:11, 1.84s/it] 91%|█████████ | 50/55 [01:37<00:08, 1.78s/it] 93%|█████████▎| 51/55 [01:39<00:07, 1.75s/it] 95%|█████████▍| 52/55 [01:41<00:05, 1.69s/it] 96%|█████████▋| 53/55 [01:42<00:03, 1.72s/it] 98%|█████████▊| 54/55 [01:44<00:01, 1.53s/it] 100%|██████████| 55/55 [01:44<00:00, 1.35s/it] 100%|██████████| 55/55 [01:44<00:00, 1.91s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
A photo of a red Etch A Sketch toy. The screen of the Etch A Sketch has a drawing of He-Man on the screen. The toy is on a rainbow background, <lora:Etch_A_Sketch-000009:1>, <lora:add-detail-xl:1>
negative_prompt
Specify things to not see in the output
loli, low quality, low detail, worst quality, face asymmetry, eyes asymmetry, deformed eyes, open mouth, text, EasyNegativeV2, unaestheticXL_hk1
num_outputs
Number of output images
3
width
Output image width
1024
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
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.
2184231295
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
55
cfg_scale
Scale for classifier-free guidance
9.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
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/517b56e825d24dc1b03ddd727c8db87b/00000-2184231295.webp
https://files.tungsten.run/uploads/c31f3ce95e054b0c844c8a29cdecca4f/00001-2184231296.webp
https://files.tungsten.run/uploads/aa583d2e975b4a708e4d22cef9b29eae/00002-2184231297.webp
Finished in 173.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A photo of a red Etch A Sketch toy. The screen of the Etch A Sketch has a drawing of He-Man on the screen. The toy is on a rainbow background, <lora:Etch_A_Sketch-000009:1>, <lora:add-detail-xl:2.0> Full negative prompt: loli, low quality, low detail, worst quality, face asymmetry, eyes asymmetry, deformed eyes, open mouth, text, EasyNegativeV2, unaestheticXL_hk1 0%| | 0/55 [00:00<?, ?it/s] 2%|▏ | 1/55 [00:03<02:43, 3.03s/it] 4%|▎ | 2/55 [00:04<01:57, 2.22s/it] 5%|▌ | 3/55 [00:06<01:52, 2.17s/it] 7%|▋ | 4/55 [00:08<01:50, 2.16s/it] 9%|▉ | 5/55 [00:11<01:46, 2.13s/it] 11%|█ | 6/55 [00:13<01:42, 2.09s/it] 13%|█▎ | 7/55 [00:15<01:39, 2.07s/it] 15%|█▍ | 8/55 [00:17<01:36, 2.05s/it] 16%|█▋ | 9/55 [00:19<01:34, 2.06s/it] 18%|█▊ | 10/55 [00:21<01:32, 2.05s/it] 20%|██ | 11/55 [00:23<01:30, 2.06s/it] 22%|██▏ | 12/55 [00:25<01:28, 2.06s/it] 24%|██▎ | 13/55 [00:27<01:25, 2.05s/it] 25%|██▌ | 14/55 [00:29<01:22, 2.00s/it] 27%|██▋ | 15/55 [00:31<01:19, 2.00s/it] 29%|██▉ | 16/55 [00:33<01:18, 2.00s/it] 31%|███ | 17/55 [00:35<01:17, 2.03s/it] 33%|███▎ | 18/55 [00:37<01:13, 1.99s/it] 35%|███▍ | 19/55 [00:39<01:10, 1.96s/it] 36%|███▋ | 20/55 [00:41<01:08, 1.96s/it] 38%|███▊ | 21/55 [00:43<01:06, 1.96s/it] 40%|████ | 22/55 [00:45<01:05, 1.98s/it] 42%|████▏ | 23/55 [00:46<01:02, 1.95s/it] 44%|████▎ | 24/55 [00:49<01:02, 2.02s/it] 45%|████▌ | 25/55 [00:51<01:00, 2.00s/it] 47%|████▋ | 26/55 [00:53<00:58, 2.02s/it] 49%|████▉ | 27/55 [00:55<00:56, 2.03s/it] 51%|█████ | 28/55 [00:57<00:54, 2.01s/it] 53%|█████▎ | 29/55 [00:59<00:51, 1.98s/it] 55%|█████▍ | 30/55 [01:00<00:46, 1.87s/it] 56%|█████▋ | 31/55 [01:02<00:45, 1.89s/it] 58%|█████▊ | 32/55 [01:04<00:44, 1.93s/it] 60%|██████ | 33/55 [01:06<00:43, 1.97s/it] 62%|██████▏ | 34/55 [01:08<00:40, 1.92s/it] 64%|██████▎ | 35/55 [01:10<00:37, 1.90s/it] 65%|██████▌ | 36/55 [01:12<00:36, 1.94s/it] 67%|██████▋ | 37/55 [01:14<00:34, 1.90s/it] 69%|██████▉ | 38/55 [01:16<00:32, 1.91s/it] 71%|███████ | 39/55 [01:18<00:30, 1.92s/it] 73%|███████▎ | 40/55 [01:19<00:28, 1.90s/it] 75%|███████▍ | 41/55 [01:21<00:26, 1.90s/it] 76%|███████▋ | 42/55 [01:23<00:24, 1.87s/it] 78%|███████▊ | 43/55 [01:25<00:22, 1.84s/it] 80%|████████ | 44/55 [01:27<00:19, 1.81s/it] 82%|████████▏ | 45/55 [01:29<00:18, 1.83s/it] 84%|████████▎ | 46/55 [01:30<00:16, 1.78s/it] 85%|████████▌ | 47/55 [01:32<00:14, 1.82s/it] 87%|████████▋ | 48/55 [01:34<00:12, 1.79s/it] 89%|████████▉ | 49/55 [01:36<00:11, 1.84s/it] 91%|█████████ | 50/55 [01:37<00:08, 1.78s/it] 93%|█████████▎| 51/55 [01:39<00:07, 1.75s/it] 95%|█████████▍| 52/55 [01:41<00:05, 1.69s/it] 96%|█████████▋| 53/55 [01:42<00:03, 1.72s/it] 98%|█████████▊| 54/55 [01:44<00:01, 1.53s/it] 100%|██████████| 55/55 [01:44<00:00, 1.35s/it] 100%|██████████| 55/55 [01:44<00:00, 1.91s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s