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deepblue-xl
deepblue-xl

deepblue-xl

6 stars
Version: v2.5
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/92dcac93e8c84611bb9a031a89ed24f3/00000-648349011.webp
https://files.tungsten.run/uploads/b0766b446e3f406dab761b13b4fe1df5/00001-648349012.webp
https://files.tungsten.run/uploads/3802a12d7edd49698b9dd6df404b61b2/00002-648349013.webp
This example was created by evevalentine2017
Finished in 72.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Illustration, solo, anime, chaos, apocalypse, military girl, full body metal armor, dark shiny metal Full negative prompt: desaturated 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.60s/it] 10%|█ | 2/20 [00:03<00:33, 1.85s/it] 15%|█▌ | 3/20 [00:05<00:33, 1.99s/it] 20%|██ | 4/20 [00:07<00:32, 2.04s/it] 25%|██▌ | 5/20 [00:09<00:30, 2.06s/it] 30%|███ | 6/20 [00:12<00:29, 2.12s/it] 35%|███▌ | 7/20 [00:14<00:27, 2.12s/it] 40%|████ | 8/20 [00:16<00:25, 2.09s/it] 45%|████▌ | 9/20 [00:18<00:23, 2.10s/it] 50%|█████ | 10/20 [00:20<00:20, 2.08s/it] 55%|█████▌ | 11/20 [00:22<00:18, 2.03s/it] 60%|██████ | 12/20 [00:24<00:16, 2.01s/it] 65%|██████▌ | 13/20 [00:26<00:14, 2.01s/it] 70%|███████ | 14/20 [00:28<00:11, 1.97s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.97s/it] 80%|████████ | 16/20 [00:32<00:07, 1.94s/it] 85%|████████▌ | 17/20 [00:33<00:05, 1.91s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.87s/it] 95%|█████████▌| 19/20 [00:37<00:01, 1.69s/it] 100%|██████████| 20/20 [00:37<00:00, 1.47s/it] 100%|██████████| 20/20 [00:37<00:00, 1.90s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.8ms Speed: 3.1ms preprocess, 159.8ms inference, 21.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.25it/s] 20%|██ | 2/10 [00:01<00:06, 1.15it/s] 30%|███ | 3/10 [00:03<00:08, 1.18s/it] 40%|████ | 4/10 [00:04<00:07, 1.19s/it] 50%|█████ | 5/10 [00:05<00:05, 1.02s/it] 60%|██████ | 6/10 [00:05<00:03, 1.12it/s] 70%|███████ | 7/10 [00:06<00:02, 1.24it/s] 80%|████████ | 8/10 [00:07<00:01, 1.33it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.52it/s] 100%|██████████| 10/10 [00:07<00:00, 1.80it/s] 100%|██████████| 10/10 [00:07<00:00, 1.27it/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, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.46it/s] 20%|██ | 2/10 [00:01<00:05, 1.44it/s] 30%|███ | 3/10 [00:02<00:04, 1.42it/s] 40%|████ | 4/10 [00:02<00:04, 1.45it/s] 50%|█████ | 5/10 [00:03<00:03, 1.46it/s] 60%|██████ | 6/10 [00:04<00:02, 1.48it/s] 70%|███████ | 7/10 [00:04<00:01, 1.52it/s] 80%|████████ | 8/10 [00:05<00:01, 1.55it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.71it/s] 100%|██████████| 10/10 [00:06<00:00, 1.97it/s] 100%|██████████| 10/10 [00:06<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.53it/s] 20%|██ | 2/10 [00:01<00:05, 1.49it/s] 30%|███ | 3/10 [00:02<00:04, 1.47it/s] 40%|████ | 4/10 [00:02<00:03, 1.50it/s] 50%|█████ | 5/10 [00:03<00:03, 1.48it/s] 60%|██████ | 6/10 [00:04<00:02, 1.51it/s] 70%|███████ | 7/10 [00:04<00:01, 1.54it/s] 80%|████████ | 8/10 [00:05<00:01, 1.55it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.70it/s] 100%|██████████| 10/10 [00:06<00:00, 1.96it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/92dcac93e8c84611bb9a031a89ed24f3/00000-648349011.webp
https://files.tungsten.run/uploads/b0766b446e3f406dab761b13b4fe1df5/00001-648349012.webp
https://files.tungsten.run/uploads/3802a12d7edd49698b9dd6df404b61b2/00002-648349013.webp
This example was created by evevalentine2017
Finished in 72.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Illustration, solo, anime, chaos, apocalypse, military girl, full body metal armor, dark shiny metal Full negative prompt: desaturated 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:30, 1.60s/it] 10%|█ | 2/20 [00:03<00:33, 1.85s/it] 15%|█▌ | 3/20 [00:05<00:33, 1.99s/it] 20%|██ | 4/20 [00:07<00:32, 2.04s/it] 25%|██▌ | 5/20 [00:09<00:30, 2.06s/it] 30%|███ | 6/20 [00:12<00:29, 2.12s/it] 35%|███▌ | 7/20 [00:14<00:27, 2.12s/it] 40%|████ | 8/20 [00:16<00:25, 2.09s/it] 45%|████▌ | 9/20 [00:18<00:23, 2.10s/it] 50%|█████ | 10/20 [00:20<00:20, 2.08s/it] 55%|█████▌ | 11/20 [00:22<00:18, 2.03s/it] 60%|██████ | 12/20 [00:24<00:16, 2.01s/it] 65%|██████▌ | 13/20 [00:26<00:14, 2.01s/it] 70%|███████ | 14/20 [00:28<00:11, 1.97s/it] 75%|███████▌ | 15/20 [00:30<00:09, 1.97s/it] 80%|████████ | 16/20 [00:32<00:07, 1.94s/it] 85%|████████▌ | 17/20 [00:33<00:05, 1.91s/it] 90%|█████████ | 18/20 [00:35<00:03, 1.87s/it] 95%|█████████▌| 19/20 [00:37<00:01, 1.69s/it] 100%|██████████| 20/20 [00:37<00:00, 1.47s/it] 100%|██████████| 20/20 [00:37<00:00, 1.90s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 159.8ms Speed: 3.1ms preprocess, 159.8ms inference, 21.9ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.25it/s] 20%|██ | 2/10 [00:01<00:06, 1.15it/s] 30%|███ | 3/10 [00:03<00:08, 1.18s/it] 40%|████ | 4/10 [00:04<00:07, 1.19s/it] 50%|█████ | 5/10 [00:05<00:05, 1.02s/it] 60%|██████ | 6/10 [00:05<00:03, 1.12it/s] 70%|███████ | 7/10 [00:06<00:02, 1.24it/s] 80%|████████ | 8/10 [00:07<00:01, 1.33it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.52it/s] 100%|██████████| 10/10 [00:07<00:00, 1.80it/s] 100%|██████████| 10/10 [00:07<00:00, 1.27it/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, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:06, 1.46it/s] 20%|██ | 2/10 [00:01<00:05, 1.44it/s] 30%|███ | 3/10 [00:02<00:04, 1.42it/s] 40%|████ | 4/10 [00:02<00:04, 1.45it/s] 50%|█████ | 5/10 [00:03<00:03, 1.46it/s] 60%|██████ | 6/10 [00:04<00:02, 1.48it/s] 70%|███████ | 7/10 [00:04<00:01, 1.52it/s] 80%|████████ | 8/10 [00:05<00:01, 1.55it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.71it/s] 100%|██████████| 10/10 [00:06<00:00, 1.97it/s] 100%|██████████| 10/10 [00:06<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 2.4ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.53it/s] 20%|██ | 2/10 [00:01<00:05, 1.49it/s] 30%|███ | 3/10 [00:02<00:04, 1.47it/s] 40%|████ | 4/10 [00:02<00:03, 1.50it/s] 50%|█████ | 5/10 [00:03<00:03, 1.48it/s] 60%|██████ | 6/10 [00:04<00:02, 1.51it/s] 70%|███████ | 7/10 [00:04<00:01, 1.54it/s] 80%|████████ | 8/10 [00:05<00:01, 1.55it/s] 90%|█████████ | 9/10 [00:05<00:00, 1.70it/s] 100%|██████████| 10/10 [00:06<00:00, 1.96it/s] 100%|██████████| 10/10 [00:06<00:00, 1.65it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.