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pilgrim-midjourney
pilgrim-midjourney

pilgrim-midjourney

8 stars
Version: v2.0
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/4798a2ef946f463c83ede3109a6d8348/00000-2637597576.webp
https://files.tungsten.run/uploads/16bca1af2eb34a7c98a43a05a666f377/00001-2637597577.webp
https://files.tungsten.run/uploads/188e27a08d08456aa6bb94ebf768f73d/00002-2637597578.webp
This example was created by sparks
Finished in 58.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: the pirate, (masterpiece), (realistic), 8k, RAW photo, very wide shot, octane render, unreal engine, volumetrics dtx, (film grain, bokeh, blurry foreground), <lora:add-detail-xl:1.0> Full negative prompt: ac_neg1, ac_neg2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<00:59, 3.13s/it] 10%|█ | 2/20 [00:05<00:52, 2.94s/it] 15%|█▌ | 3/20 [00:08<00:48, 2.85s/it] 20%|██ | 4/20 [00:11<00:45, 2.84s/it] 25%|██▌ | 5/20 [00:14<00:42, 2.81s/it] 30%|███ | 6/20 [00:16<00:38, 2.75s/it] 35%|███▌ | 7/20 [00:19<00:36, 2.83s/it] 40%|████ | 8/20 [00:22<00:34, 2.85s/it] 45%|████▌ | 9/20 [00:25<00:31, 2.87s/it] 50%|█████ | 10/20 [00:28<00:28, 2.82s/it] 55%|█████▌ | 11/20 [00:31<00:25, 2.78s/it] 60%|██████ | 12/20 [00:33<00:21, 2.71s/it] 65%|██████▌ | 13/20 [00:36<00:19, 2.72s/it] 70%|███████ | 14/20 [00:38<00:15, 2.64s/it] 75%|███████▌ | 15/20 [00:41<00:13, 2.63s/it] 80%|████████ | 16/20 [00:43<00:10, 2.57s/it] 85%|████████▌ | 17/20 [00:46<00:07, 2.55s/it] 90%|█████████ | 18/20 [00:48<00:05, 2.51s/it] 95%|█████████▌| 19/20 [00:50<00:02, 2.30s/it] 100%|██████████| 20/20 [00:51<00:00, 1.99s/it] 100%|██████████| 20/20 [00:51<00:00, 2.59s/it] Decoding latents in cuda:0... done in 2.33s 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/4798a2ef946f463c83ede3109a6d8348/00000-2637597576.webp
https://files.tungsten.run/uploads/16bca1af2eb34a7c98a43a05a666f377/00001-2637597577.webp
https://files.tungsten.run/uploads/188e27a08d08456aa6bb94ebf768f73d/00002-2637597578.webp
This example was created by sparks
Finished in 58.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: the pirate, (masterpiece), (realistic), 8k, RAW photo, very wide shot, octane render, unreal engine, volumetrics dtx, (film grain, bokeh, blurry foreground), <lora:add-detail-xl:1.0> Full negative prompt: ac_neg1, ac_neg2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<00:59, 3.13s/it] 10%|█ | 2/20 [00:05<00:52, 2.94s/it] 15%|█▌ | 3/20 [00:08<00:48, 2.85s/it] 20%|██ | 4/20 [00:11<00:45, 2.84s/it] 25%|██▌ | 5/20 [00:14<00:42, 2.81s/it] 30%|███ | 6/20 [00:16<00:38, 2.75s/it] 35%|███▌ | 7/20 [00:19<00:36, 2.83s/it] 40%|████ | 8/20 [00:22<00:34, 2.85s/it] 45%|████▌ | 9/20 [00:25<00:31, 2.87s/it] 50%|█████ | 10/20 [00:28<00:28, 2.82s/it] 55%|█████▌ | 11/20 [00:31<00:25, 2.78s/it] 60%|██████ | 12/20 [00:33<00:21, 2.71s/it] 65%|██████▌ | 13/20 [00:36<00:19, 2.72s/it] 70%|███████ | 14/20 [00:38<00:15, 2.64s/it] 75%|███████▌ | 15/20 [00:41<00:13, 2.63s/it] 80%|████████ | 16/20 [00:43<00:10, 2.57s/it] 85%|████████▌ | 17/20 [00:46<00:07, 2.55s/it] 90%|█████████ | 18/20 [00:48<00:05, 2.51s/it] 95%|█████████▌| 19/20 [00:50<00:02, 2.30s/it] 100%|██████████| 20/20 [00:51<00:00, 1.99s/it] 100%|██████████| 20/20 [00:51<00:00, 2.59s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.03s Uploading outputs... Finished.