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pilgrimrealisticsdxl
pilgrimrealisticsdxl

pilgrimrealisticsdxl

12 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
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/1f1c8c13fc9347779f9249b1a6ba152b/00000-2651510872.webp
https://files.tungsten.run/uploads/d0f60a05a13a4ec68f13b43905d02fed/00001-2651510873.webp
https://files.tungsten.run/uploads/8664559c3a474bfe8a1c8a60a6b57adc/00002-2651510874.webp
This example was created by sparks
Finished in 46.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (masterpiece), 8k, very wide shot, volumetrics dtx, portrait, Ukrainian beautiful girl 18yo, super model, face make-up, beautiful eyes, tradition dress, Carpathian Mountains background, Ukrainian style, Midjourney style, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: ac_neg1, ac_neg2, (nsfw:1.4),( nude:1.4) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<01:02, 2.84s/it] 9%|▊ | 2/23 [00:04<00:43, 2.09s/it] 13%|█▎ | 3/23 [00:05<00:36, 1.84s/it] 17%|█▋ | 4/23 [00:07<00:32, 1.73s/it] 22%|██▏ | 5/23 [00:09<00:30, 1.67s/it] 26%|██▌ | 6/23 [00:10<00:27, 1.63s/it] 30%|███ | 7/23 [00:12<00:25, 1.61s/it] 35%|███▍ | 8/23 [00:13<00:23, 1.59s/it] 39%|███▉ | 9/23 [00:15<00:22, 1.59s/it] 43%|████▎ | 10/23 [00:16<00:20, 1.58s/it] 48%|████▊ | 11/23 [00:18<00:18, 1.58s/it] 52%|█████▏ | 12/23 [00:20<00:17, 1.58s/it] 57%|█████▋ | 13/23 [00:21<00:15, 1.57s/it] 61%|██████ | 14/23 [00:23<00:14, 1.57s/it] 65%|██████▌ | 15/23 [00:24<00:12, 1.57s/it] 70%|██████▉ | 16/23 [00:26<00:11, 1.57s/it] 74%|███████▍ | 17/23 [00:27<00:09, 1.57s/it] 78%|███████▊ | 18/23 [00:29<00:07, 1.57s/it] 83%|████████▎ | 19/23 [00:31<00:06, 1.57s/it] 87%|████████▋ | 20/23 [00:32<00:04, 1.58s/it] 91%|█████████▏| 21/23 [00:34<00:03, 1.58s/it] 96%|█████████▌| 22/23 [00:35<00:01, 1.58s/it] 100%|██████████| 23/23 [00:37<00:00, 1.58s/it] 100%|██████████| 23/23 [00:37<00:00, 1.62s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.03s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
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/1f1c8c13fc9347779f9249b1a6ba152b/00000-2651510872.webp
https://files.tungsten.run/uploads/d0f60a05a13a4ec68f13b43905d02fed/00001-2651510873.webp
https://files.tungsten.run/uploads/8664559c3a474bfe8a1c8a60a6b57adc/00002-2651510874.webp
This example was created by sparks
Finished in 46.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: (masterpiece), 8k, very wide shot, volumetrics dtx, portrait, Ukrainian beautiful girl 18yo, super model, face make-up, beautiful eyes, tradition dress, Carpathian Mountains background, Ukrainian style, Midjourney style, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: ac_neg1, ac_neg2, (nsfw:1.4),( nude:1.4) 0%| | 0/23 [00:00<?, ?it/s] 4%|▍ | 1/23 [00:02<01:02, 2.84s/it] 9%|▊ | 2/23 [00:04<00:43, 2.09s/it] 13%|█▎ | 3/23 [00:05<00:36, 1.84s/it] 17%|█▋ | 4/23 [00:07<00:32, 1.73s/it] 22%|██▏ | 5/23 [00:09<00:30, 1.67s/it] 26%|██▌ | 6/23 [00:10<00:27, 1.63s/it] 30%|███ | 7/23 [00:12<00:25, 1.61s/it] 35%|███▍ | 8/23 [00:13<00:23, 1.59s/it] 39%|███▉ | 9/23 [00:15<00:22, 1.59s/it] 43%|████▎ | 10/23 [00:16<00:20, 1.58s/it] 48%|████▊ | 11/23 [00:18<00:18, 1.58s/it] 52%|█████▏ | 12/23 [00:20<00:17, 1.58s/it] 57%|█████▋ | 13/23 [00:21<00:15, 1.57s/it] 61%|██████ | 14/23 [00:23<00:14, 1.57s/it] 65%|██████▌ | 15/23 [00:24<00:12, 1.57s/it] 70%|██████▉ | 16/23 [00:26<00:11, 1.57s/it] 74%|███████▍ | 17/23 [00:27<00:09, 1.57s/it] 78%|███████▊ | 18/23 [00:29<00:07, 1.57s/it] 83%|████████▎ | 19/23 [00:31<00:06, 1.57s/it] 87%|████████▋ | 20/23 [00:32<00:04, 1.58s/it] 91%|█████████▏| 21/23 [00:34<00:03, 1.58s/it] 96%|█████████▌| 22/23 [00:35<00:01, 1.58s/it] 100%|██████████| 23/23 [00:37<00:00, 1.58s/it] 100%|██████████| 23/23 [00:37<00:00, 1.62s/it] Decoding latents in cuda:0... done in 2.82s Move latents to cpu... done in 0.03s Uploading outputs... Finished.