Baron Samedi with Pilgrim BASE SDXL v4GMG
Input
prompt
Specify things to see in the output
score_10,score_9, score_8_up, score_7_up, score_6_up, score_5_up, Baron Samedi, (masterpiece), (realistic), 8k, RAW photo, very wide shot, octane render, unreal engine, volumetric dtx, (film grain, bokeh, blurry foreground)
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
4234574881
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 Karras
samping_steps
Number of denoising steps
23
cfg_scale
Scale for classifier-free guidance
5
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/5a49edbe754f425aacba388db1f4ccbc/00000-4234574881.webp
https://files.tungsten.run/uploads/a57b35caf3a5402f8f42af937451de6f/00001-4234574882.webp
https://files.tungsten.run/uploads/3e3fcd4bec1c409d95388718a3744b16/00002-4234574883.webp
Finished in 42.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_10,score_9, score_8_up, score_7_up, score_6_up, score_5_up, Baron Samedi, (masterpiece), (realistic), 8k, RAW photo, very wide shot, octane render, unreal engine, volumetric dtx, (film grain, bokeh, blurry foreground), <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:55, 2.52s/it] 9%|▊ | 2/23 [00:04<00:40, 1.92s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.73s/it] 17%|█▋ | 4/23 [00:07<00:31, 1.64s/it] 22%|██▏ | 5/23 [00:08<00:28, 1.59s/it] 26%|██▌ | 6/23 [00:10<00:26, 1.56s/it] 30%|███ | 7/23 [00:11<00:24, 1.54s/it] 35%|███▍ | 8/23 [00:13<00:22, 1.53s/it] 39%|███▉ | 9/23 [00:14<00:21, 1.52s/it] 43%|████▎ | 10/23 [00:16<00:19, 1.52s/it] 48%|████▊ | 11/23 [00:17<00:18, 1.51s/it] 52%|█████▏ | 12/23 [00:19<00:16, 1.51s/it] 57%|█████▋ | 13/23 [00:20<00:15, 1.51s/it] 61%|██████ | 14/23 [00:22<00:13, 1.51s/it] 65%|██████▌ | 15/23 [00:23<00:12, 1.51s/it] 70%|██████▉ | 16/23 [00:25<00:10, 1.51s/it] 74%|███████▍ | 17/23 [00:26<00:09, 1.51s/it] 78%|███████▊ | 18/23 [00:28<00:07, 1.51s/it] 83%|████████▎ | 19/23 [00:29<00:06, 1.51s/it] 87%|████████▋ | 20/23 [00:31<00:04, 1.51s/it] 91%|█████████▏| 21/23 [00:32<00:03, 1.51s/it] 96%|█████████▌| 22/23 [00:34<00:01, 1.51s/it] 100%|██████████| 23/23 [00:35<00:00, 1.51s/it] 100%|██████████| 23/23 [00:35<00:00, 1.55s/it] Decoding latents in cuda:0... done in 2.79s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
score_10,score_9, score_8_up, score_7_up, score_6_up, score_5_up, Baron Samedi, (masterpiece), (realistic), 8k, RAW photo, very wide shot, octane render, unreal engine, volumetric dtx, (film grain, bokeh, blurry foreground)
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
4234574881
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 Karras
samping_steps
Number of denoising steps
23
cfg_scale
Scale for classifier-free guidance
5
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/5a49edbe754f425aacba388db1f4ccbc/00000-4234574881.webp
https://files.tungsten.run/uploads/a57b35caf3a5402f8f42af937451de6f/00001-4234574882.webp
https://files.tungsten.run/uploads/3e3fcd4bec1c409d95388718a3744b16/00002-4234574883.webp
Finished in 42.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_10,score_9, score_8_up, score_7_up, score_6_up, score_5_up, Baron Samedi, (masterpiece), (realistic), 8k, RAW photo, very wide shot, octane render, unreal engine, volumetric dtx, (film grain, bokeh, blurry foreground), <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<00:55, 2.52s/it] 9%|▊ | 2/23 [00:04<00:40, 1.92s/it] 13%|█▎ | 3/23 [00:05<00:34, 1.73s/it] 17%|█▋ | 4/23 [00:07<00:31, 1.64s/it] 22%|██▏ | 5/23 [00:08<00:28, 1.59s/it] 26%|██▌ | 6/23 [00:10<00:26, 1.56s/it] 30%|███ | 7/23 [00:11<00:24, 1.54s/it] 35%|███▍ | 8/23 [00:13<00:22, 1.53s/it] 39%|███▉ | 9/23 [00:14<00:21, 1.52s/it] 43%|████▎ | 10/23 [00:16<00:19, 1.52s/it] 48%|████▊ | 11/23 [00:17<00:18, 1.51s/it] 52%|█████▏ | 12/23 [00:19<00:16, 1.51s/it] 57%|█████▋ | 13/23 [00:20<00:15, 1.51s/it] 61%|██████ | 14/23 [00:22<00:13, 1.51s/it] 65%|██████▌ | 15/23 [00:23<00:12, 1.51s/it] 70%|██████▉ | 16/23 [00:25<00:10, 1.51s/it] 74%|███████▍ | 17/23 [00:26<00:09, 1.51s/it] 78%|███████▊ | 18/23 [00:28<00:07, 1.51s/it] 83%|████████▎ | 19/23 [00:29<00:06, 1.51s/it] 87%|████████▋ | 20/23 [00:31<00:04, 1.51s/it] 91%|█████████▏| 21/23 [00:32<00:03, 1.51s/it] 96%|█████████▌| 22/23 [00:34<00:01, 1.51s/it] 100%|██████████| 23/23 [00:35<00:00, 1.51s/it] 100%|██████████| 23/23 [00:35<00:00, 1.55s/it] Decoding latents in cuda:0... done in 2.79s Move latents to cpu... done in 0.02s