Ink Drawings with GrogMix Turbo XL
Input
prompt
Specify things to see in the output
Ink drawing by Anne Bachelier, bright colors theme, a painting of a boy with hair in the air, in the style of traditional Chinese landscape, misty gothic, plush doll art, luminous reflections, colorized, children's book illustrations, serene faces
negative_prompt
Specify things to not see in the output
negativeXL_D, realistic, real photo, textured skin, realism, 3d, volumetric, looking at the viewer, nipples, nsfw, (worst quality, low quality:1.0), easynegative, (extra fingers, malformed hands, polydactyly:1.5), blurry, watermark, text
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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.
2451895994
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++ 2M SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
2
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/f3bab20596e14db8858b18d641a1aba9/00000-2451895994.webp
https://files.tungsten.run/uploads/4c8d6b757eb64bef857fe55a1186338f/00001-2451895995.webp
https://files.tungsten.run/uploads/5e746fa5dfc947d8834ec6c7563d7439/00002-2451895996.webp
Finished in 39.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Ink drawing by Anne Bachelier, bright colors theme, a painting of a boy with hair in the air, in the style of traditional Chinese landscape, misty gothic, plush doll art, luminous reflections, colorized, children's book illustrations, serene faces Full negative prompt: negativeXL_D, realistic, real photo, textured skin, realism, 3d, volumetric, looking at the viewer, nipples, nsfw, (worst quality, low quality:1.0), easynegative, (extra fingers, malformed hands, polydactyly:1.5), blurry, watermark, text 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.56s/it] 20%|██ | 2/10 [00:03<00:15, 1.90s/it] 30%|███ | 3/10 [00:05<00:13, 1.98s/it] 40%|████ | 4/10 [00:07<00:12, 2.01s/it] 50%|█████ | 5/10 [00:09<00:10, 2.01s/it] 60%|██████ | 6/10 [00:11<00:07, 1.98s/it] 70%|███████ | 7/10 [00:13<00:05, 1.94s/it] 80%|████████ | 8/10 [00:15<00:03, 1.84s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.65s/it] 100%|██████████| 10/10 [00:17<00:00, 1.42s/it] 100%|██████████| 10/10 [00:17<00:00, 1.74s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.3ms Speed: 2.7ms preprocess, 160.3ms inference, 19.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.26it/s] 40%|████ | 2/5 [00:01<00:02, 1.40it/s] 60%|██████ | 3/5 [00:02<00:01, 1.55it/s] 80%|████████ | 4/5 [00:02<00:00, 1.78it/s] 100%|██████████| 5/5 [00:02<00:00, 2.10it/s] 100%|██████████| 5/5 [00:02<00:00, 1.80it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.45it/s] 40%|████ | 2/5 [00:01<00:01, 1.53it/s] 60%|██████ | 3/5 [00:01<00:01, 1.63it/s] 80%|████████ | 4/5 [00:02<00:00, 1.84it/s] 100%|██████████| 5/5 [00:02<00:00, 2.14it/s] 100%|██████████| 5/5 [00:02<00:00, 1.88it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.44it/s] 40%|████ | 2/5 [00:01<00:01, 1.53it/s] 60%|██████ | 3/5 [00:01<00:01, 1.61it/s] 80%|████████ | 4/5 [00:02<00:00, 1.83it/s] 100%|██████████| 5/5 [00:02<00:00, 2.13it/s] 100%|██████████| 5/5 [00:02<00:00, 1.87it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Ink drawing by Anne Bachelier, bright colors theme, a painting of a boy with hair in the air, in the style of traditional Chinese landscape, misty gothic, plush doll art, luminous reflections, colorized, children's book illustrations, serene faces
negative_prompt
Specify things to not see in the output
negativeXL_D, realistic, real photo, textured skin, realism, 3d, volumetric, looking at the viewer, nipples, nsfw, (worst quality, low quality:1.0), easynegative, (extra fingers, malformed hands, polydactyly:1.5), blurry, watermark, text
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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.
2451895994
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++ 2M SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
3
clip_skip
The number of last layers of CLIP network to skip
2
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/f3bab20596e14db8858b18d641a1aba9/00000-2451895994.webp
https://files.tungsten.run/uploads/4c8d6b757eb64bef857fe55a1186338f/00001-2451895995.webp
https://files.tungsten.run/uploads/5e746fa5dfc947d8834ec6c7563d7439/00002-2451895996.webp
Finished in 39.6 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Ink drawing by Anne Bachelier, bright colors theme, a painting of a boy with hair in the air, in the style of traditional Chinese landscape, misty gothic, plush doll art, luminous reflections, colorized, children's book illustrations, serene faces Full negative prompt: negativeXL_D, realistic, real photo, textured skin, realism, 3d, volumetric, looking at the viewer, nipples, nsfw, (worst quality, low quality:1.0), easynegative, (extra fingers, malformed hands, polydactyly:1.5), blurry, watermark, text 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.56s/it] 20%|██ | 2/10 [00:03<00:15, 1.90s/it] 30%|███ | 3/10 [00:05<00:13, 1.98s/it] 40%|████ | 4/10 [00:07<00:12, 2.01s/it] 50%|█████ | 5/10 [00:09<00:10, 2.01s/it] 60%|██████ | 6/10 [00:11<00:07, 1.98s/it] 70%|███████ | 7/10 [00:13<00:05, 1.94s/it] 80%|████████ | 8/10 [00:15<00:03, 1.84s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.65s/it] 100%|██████████| 10/10 [00:17<00:00, 1.42s/it] 100%|██████████| 10/10 [00:17<00:00, 1.74s/it] Decoding latents in cuda:0... done in 1.7s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.3ms Speed: 2.7ms preprocess, 160.3ms inference, 19.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:03, 1.26it/s] 40%|████ | 2/5 [00:01<00:02, 1.40it/s] 60%|██████ | 3/5 [00:02<00:01, 1.55it/s] 80%|████████ | 4/5 [00:02<00:00, 1.78it/s] 100%|██████████| 5/5 [00:02<00:00, 2.10it/s] 100%|██████████| 5/5 [00:02<00:00, 1.80it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.0ms Speed: 2.3ms preprocess, 8.0ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.45it/s] 40%|████ | 2/5 [00:01<00:01, 1.53it/s] 60%|██████ | 3/5 [00:01<00:01, 1.63it/s] 80%|████████ | 4/5 [00:02<00:00, 1.84it/s] 100%|██████████| 5/5 [00:02<00:00, 2.14it/s] 100%|██████████| 5/5 [00:02<00:00, 1.88it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:00<00:02, 1.44it/s] 40%|████ | 2/5 [00:01<00:01, 1.53it/s] 60%|██████ | 3/5 [00:01<00:01, 1.61it/s] 80%|████████ | 4/5 [00:02<00:00, 1.83it/s] 100%|██████████| 5/5 [00:02<00:00, 2.13it/s] 100%|██████████| 5/5 [00:02<00:00, 1.87it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s Uploading outputs... Finished.