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Manga Style with Deep Blue XL
deepblue-xl:v2.5
evevalentine2017
evevalentine2017
·
Feb 19
367
Input
prompt
Specify things to see in the output
best quality, anime, wearing a jacket, big breast, glasses, focus on face, room, manga, lineart, monochrome, black and white, colorless, Lineart, LineAniAF, <lora:LineAniRedmondV2-Lineart-LineAniAF:1>
negative_prompt
Specify things to not see in the output
desaturated, nsfw
num_outputs
Number of output images
3
width
Output image width
1024
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.
1968555228
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
20
cfg_scale
Scale for classifier-free guidance
7
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>
LineAniRedmondV2-Lineart-LineAniAF.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)
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/a65cb39a7591454dab589d6e917bc0c1/00000-1968555228.webp
https://files.tungsten.run/uploads/f810fbfff4b74c02b76694064918cc21/00001-1968555229.webp
https://files.tungsten.run/uploads/ef967bed1789410ba7d8c8602c8ddabf/00002-1968555230.webp
Finished in 122.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: best quality, anime, wearing a jacket, big breast, glasses, focus on face, room, manga, lineart, monochrome, black and white, colorless, Lineart, LineAniAF, <lora:LineAniRedmondV2-Lineart-LineAniAF:1> Full negative prompt: desaturated, nsfw 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:10, 3.70s/it] 10%|█ | 2/20 [00:06<00:56, 3.16s/it] 15%|█▌ | 3/20 [00:09<00:50, 2.99s/it] 20%|██ | 4/20 [00:12<00:46, 2.94s/it] 25%|██▌ | 5/20 [00:14<00:42, 2.86s/it] 30%|███ | 6/20 [00:17<00:40, 2.91s/it] 35%|███▌ | 7/20 [00:20<00:37, 2.86s/it] 40%|████ | 8/20 [00:23<00:33, 2.81s/it] 45%|████▌ | 9/20 [00:26<00:30, 2.81s/it] 50%|█████ | 10/20 [00:28<00:27, 2.76s/it] 55%|█████▌ | 11/20 [00:31<00:24, 2.69s/it] 60%|██████ | 12/20 [00:33<00:21, 2.65s/it] 65%|██████▌ | 13/20 [00:36<00:18, 2.65s/it] 70%|███████ | 14/20 [00:39<00:15, 2.63s/it] 75%|███████▌ | 15/20 [00:41<00:13, 2.64s/it] 80%|████████ | 16/20 [00:44<00:10, 2.63s/it] 85%|████████▌ | 17/20 [00:46<00:07, 2.58s/it] 90%|█████████ | 18/20 [00:49<00:05, 2.54s/it] 95%|█████████▌| 19/20 [00:50<00:02, 2.29s/it] 100%|██████████| 20/20 [00:52<00:00, 1.99s/it] 100%|██████████| 20/20 [00:52<00:00, 2.61s/it] Decoding latents in cuda:0... done in 2.35s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.7ms preprocess, 7.7ms inference, 13.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:08, 1.05it/s] 20%|██ | 2/10 [00:01<00:07, 1.14it/s] 30%|███ | 3/10 [00:02<00:06, 1.16it/s] 40%|████ | 4/10 [00:03<00:05, 1.19it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.23it/s] 80%|████████ | 8/10 [00:06<00:01, 1.27it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.41it/s] 100%|██████████| 10/10 [00:07<00:00, 1.64it/s] 100%|██████████| 10/10 [00:07<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 3.5ms preprocess, 8.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.13it/s] 20%|██ | 2/10 [00:01<00:07, 1.13it/s] 30%|███ | 3/10 [00:02<00:06, 1.09it/s] 40%|████ | 4/10 [00:03<00:05, 1.10it/s] 50%|█████ | 5/10 [00:04<00:04, 1.13it/s] 60%|██████ | 6/10 [00:05<00:03, 1.17it/s] 70%|███████ | 7/10 [00:06<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.24it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.39it/s] 100%|██████████| 10/10 [00:07<00:00, 1.62it/s] 100%|██████████| 10/10 [00:07<00:00, 1.29it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 4 faces, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.24it/s] 20%|██ | 2/10 [00:01<00:06, 1.23it/s] 30%|███ | 3/10 [00:02<00:05, 1.21it/s] 40%|████ | 4/10 [00:03<00:04, 1.22it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:04<00:03, 1.21it/s] 70%|███████ | 7/10 [00:05<00:02, 1.24it/s] 80%|████████ | 8/10 [00:06<00:01, 1.27it/s] 90%|█████████ | 9/10 [00:06<00:00, 1.43it/s] 100%|██████████| 10/10 [00:07<00:00, 1.66it/s] 100%|██████████| 10/10 [00:07<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.23it/s] 20%|██ | 2/10 [00:01<00:06, 1.20it/s] 30%|███ | 3/10 [00:02<00:06, 1.16it/s] 40%|████ | 4/10 [00:03<00:05, 1.17it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.21it/s] 70%|███████ | 7/10 [00:05<00:02, 1.24it/s] 80%|████████ | 8/10 [00:06<00:01, 1.26it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.41it/s] 100%|██████████| 10/10 [00:07<00:00, 1.65it/s] 100%|██████████| 10/10 [00:07<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.23it/s] 20%|██ | 2/10 [00:01<00:06, 1.16it/s] 30%|███ | 3/10 [00:02<00:05, 1.17it/s] 40%|████ | 4/10 [00:03<00:04, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.19it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.22it/s] 80%|████████ | 8/10 [00:06<00:01, 1.26it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.40it/s] 100%|██████████| 10/10 [00:07<00:00, 1.64it/s] 100%|██████████| 10/10 [00:07<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.21it/s] 20%|██ | 2/10 [00:01<00:06, 1.21it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:04, 1.22it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:04<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.23it/s] 80%|████████ | 8/10 [00:06<00:01, 1.26it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.66it/s] 100%|██████████| 10/10 [00:07<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
best quality, anime, wearing a jacket, big breast, glasses, focus on face, room, manga, lineart, monochrome, black and white, colorless, Lineart, LineAniAF, <lora:LineAniRedmondV2-Lineart-LineAniAF:1>
negative_prompt
Specify things to not see in the output
desaturated, nsfw
num_outputs
Number of output images
3
width
Output image width
1024
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.
1968555228
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
20
cfg_scale
Scale for classifier-free guidance
7
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>
LineAniRedmondV2-Lineart-LineAniAF.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)
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/a65cb39a7591454dab589d6e917bc0c1/00000-1968555228.webp
https://files.tungsten.run/uploads/f810fbfff4b74c02b76694064918cc21/00001-1968555229.webp
https://files.tungsten.run/uploads/ef967bed1789410ba7d8c8602c8ddabf/00002-1968555230.webp
Finished in 122.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: best quality, anime, wearing a jacket, big breast, glasses, focus on face, room, manga, lineart, monochrome, black and white, colorless, Lineart, LineAniAF, <lora:LineAniRedmondV2-Lineart-LineAniAF:1> Full negative prompt: desaturated, nsfw 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:10, 3.70s/it] 10%|█ | 2/20 [00:06<00:56, 3.16s/it] 15%|█▌ | 3/20 [00:09<00:50, 2.99s/it] 20%|██ | 4/20 [00:12<00:46, 2.94s/it] 25%|██▌ | 5/20 [00:14<00:42, 2.86s/it] 30%|███ | 6/20 [00:17<00:40, 2.91s/it] 35%|███▌ | 7/20 [00:20<00:37, 2.86s/it] 40%|████ | 8/20 [00:23<00:33, 2.81s/it] 45%|████▌ | 9/20 [00:26<00:30, 2.81s/it] 50%|█████ | 10/20 [00:28<00:27, 2.76s/it] 55%|█████▌ | 11/20 [00:31<00:24, 2.69s/it] 60%|██████ | 12/20 [00:33<00:21, 2.65s/it] 65%|██████▌ | 13/20 [00:36<00:18, 2.65s/it] 70%|███████ | 14/20 [00:39<00:15, 2.63s/it] 75%|███████▌ | 15/20 [00:41<00:13, 2.64s/it] 80%|████████ | 16/20 [00:44<00:10, 2.63s/it] 85%|████████▌ | 17/20 [00:46<00:07, 2.58s/it] 90%|█████████ | 18/20 [00:49<00:05, 2.54s/it] 95%|█████████▌| 19/20 [00:50<00:02, 2.29s/it] 100%|██████████| 20/20 [00:52<00:00, 1.99s/it] 100%|██████████| 20/20 [00:52<00:00, 2.61s/it] Decoding latents in cuda:0... done in 2.35s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.7ms Speed: 3.7ms preprocess, 7.7ms inference, 13.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:08, 1.05it/s] 20%|██ | 2/10 [00:01<00:07, 1.14it/s] 30%|███ | 3/10 [00:02<00:06, 1.16it/s] 40%|████ | 4/10 [00:03<00:05, 1.19it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.23it/s] 80%|████████ | 8/10 [00:06<00:01, 1.27it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.41it/s] 100%|██████████| 10/10 [00:07<00:00, 1.64it/s] 100%|██████████| 10/10 [00:07<00:00, 1.33it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 8.4ms Speed: 3.5ms preprocess, 8.4ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.13it/s] 20%|██ | 2/10 [00:01<00:07, 1.13it/s] 30%|███ | 3/10 [00:02<00:06, 1.09it/s] 40%|████ | 4/10 [00:03<00:05, 1.10it/s] 50%|█████ | 5/10 [00:04<00:04, 1.13it/s] 60%|██████ | 6/10 [00:05<00:03, 1.17it/s] 70%|███████ | 7/10 [00:06<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.24it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.39it/s] 100%|██████████| 10/10 [00:07<00:00, 1.62it/s] 100%|██████████| 10/10 [00:07<00:00, 1.29it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0: 640x640 4 faces, 7.7ms Speed: 3.2ms preprocess, 7.7ms inference, 2.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.24it/s] 20%|██ | 2/10 [00:01<00:06, 1.23it/s] 30%|███ | 3/10 [00:02<00:05, 1.21it/s] 40%|████ | 4/10 [00:03<00:04, 1.22it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:04<00:03, 1.21it/s] 70%|███████ | 7/10 [00:05<00:02, 1.24it/s] 80%|████████ | 8/10 [00:06<00:01, 1.27it/s] 90%|█████████ | 9/10 [00:06<00:00, 1.43it/s] 100%|██████████| 10/10 [00:07<00:00, 1.66it/s] 100%|██████████| 10/10 [00:07<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.23it/s] 20%|██ | 2/10 [00:01<00:06, 1.20it/s] 30%|███ | 3/10 [00:02<00:06, 1.16it/s] 40%|████ | 4/10 [00:03<00:05, 1.17it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.21it/s] 70%|███████ | 7/10 [00:05<00:02, 1.24it/s] 80%|████████ | 8/10 [00:06<00:01, 1.26it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.41it/s] 100%|██████████| 10/10 [00:07<00:00, 1.65it/s] 100%|██████████| 10/10 [00:07<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.23it/s] 20%|██ | 2/10 [00:01<00:06, 1.16it/s] 30%|███ | 3/10 [00:02<00:05, 1.17it/s] 40%|████ | 4/10 [00:03<00:04, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.19it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.22it/s] 80%|████████ | 8/10 [00:06<00:01, 1.26it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.40it/s] 100%|██████████| 10/10 [00:07<00:00, 1.64it/s] 100%|██████████| 10/10 [00:07<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.77s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.21it/s] 20%|██ | 2/10 [00:01<00:06, 1.21it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:04, 1.22it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:04<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.23it/s] 80%|████████ | 8/10 [00:06<00:01, 1.26it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.66it/s] 100%|██████████| 10/10 [00:07<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.78s Move latents to cpu... done in 0.0s Uploading outputs... Finished.