tungsten-logo
Sign In
Mountain climb
truality-engine:pro
brentlynch
brentlynch
·
Apr 14
136
Input
prompt
Specify things to see in the output
Snowstorm,(ACADEMy Award Winning),everest mountain top cinematic hd,solo, exotic, bold colorful tattoos. Hardened, age 36, rugged, bold moutain female climber is wearing a black and gold hiker gear, climbing snow covered, by Steve McCurry, 35mm, F/2.8, ((insanely detailed and intricate, character, hypermaximalist, elegant, ornate, beautiful, exotic, revealing, appealing, attractive, amative, hyper realistic, super detailed))), smiling, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
(CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding
num_outputs
Number of output images
4
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
0
contrast
Adjust contrast
1.29
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3335495640
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
35
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
epiCNegative.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCPhoto.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/25bdfdfb1c8140cc936db2873cbf369c/00000-3335495640.webp
https://files.tungsten.run/uploads/68038b81881e41019c24d493dcc3e2b3/00001-3335495641.webp
https://files.tungsten.run/uploads/f8d8910675fe40b7910e6165c6e61e01/00002-3335495642.webp
https://files.tungsten.run/uploads/b394d1c5d6dc4c518cb2b885b7ddf5aa/00003-3335495643.webp
Finished in 91.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Snowstorm,(ACADEMy Award Winning),everest mountain top cinematic hd,solo, exotic, bold colorful tattoos. Hardened, age 36, rugged, bold moutain female climber is wearing a black and gold hiker gear, climbing snow covered, by Steve McCurry, 35mm, F/2.8, ((insanely detailed and intricate, character, hypermaximalist, elegant, ornate, beautiful, exotic, revealing, appealing, attractive, amative, hyper realistic, super detailed))), smiling, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_detail:2.0>, <lora:contrast_slider_v10:1.29> Full negative prompt: (CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:11, 2.09s/it] 6%|▌ | 2/35 [00:03<00:55, 1.67s/it] 9%|▊ | 3/35 [00:04<00:49, 1.53s/it] 11%|█▏ | 4/35 [00:06<00:45, 1.48s/it] 14%|█▍ | 5/35 [00:07<00:43, 1.44s/it] 17%|█▋ | 6/35 [00:09<00:41, 1.43s/it] 20%|██ | 7/35 [00:10<00:39, 1.42s/it] 23%|██▎ | 8/35 [00:11<00:38, 1.41s/it] 26%|██▌ | 9/35 [00:13<00:36, 1.41s/it] 29%|██▊ | 10/35 [00:14<00:35, 1.40s/it] 31%|███▏ | 11/35 [00:15<00:33, 1.40s/it] 34%|███▍ | 12/35 [00:17<00:32, 1.40s/it] 37%|███▋ | 13/35 [00:18<00:30, 1.40s/it] 40%|████ | 14/35 [00:20<00:29, 1.40s/it] 43%|████▎ | 15/35 [00:21<00:27, 1.40s/it] 46%|████▌ | 16/35 [00:22<00:26, 1.40s/it] 49%|████▊ | 17/35 [00:24<00:25, 1.40s/it] 51%|█████▏ | 18/35 [00:25<00:23, 1.40s/it] 54%|█████▍ | 19/35 [00:27<00:22, 1.39s/it] 57%|█████▋ | 20/35 [00:28<00:20, 1.39s/it] 60%|██████ | 21/35 [00:29<00:19, 1.39s/it] 63%|██████▎ | 22/35 [00:31<00:18, 1.39s/it] 66%|██████▌ | 23/35 [00:32<00:16, 1.39s/it] 69%|██████▊ | 24/35 [00:34<00:15, 1.39s/it] 71%|███████▏ | 25/35 [00:35<00:13, 1.38s/it] 74%|███████▍ | 26/35 [00:36<00:12, 1.38s/it] 77%|███████▋ | 27/35 [00:38<00:11, 1.38s/it] 80%|████████ | 28/35 [00:39<00:09, 1.38s/it] 83%|████████▎ | 29/35 [00:40<00:08, 1.37s/it] 86%|████████▌ | 30/35 [00:42<00:06, 1.37s/it] 89%|████████▊ | 31/35 [00:43<00:05, 1.37s/it] 91%|█████████▏| 32/35 [00:45<00:04, 1.37s/it] 94%|█████████▍| 33/35 [00:46<00:02, 1.37s/it] 97%|█████████▋| 34/35 [00:47<00:01, 1.37s/it] 100%|██████████| 35/35 [00:49<00:00, 1.37s/it] 100%|██████████| 35/35 [00:49<00:00, 1.40s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.05s
prompt
Specify things to see in the output
Snowstorm,(ACADEMy Award Winning),everest mountain top cinematic hd,solo, exotic, bold colorful tattoos. Hardened, age 36, rugged, bold moutain female climber is wearing a black and gold hiker gear, climbing snow covered, by Steve McCurry, 35mm, F/2.8, ((insanely detailed and intricate, character, hypermaximalist, elegant, ornate, beautiful, exotic, revealing, appealing, attractive, amative, hyper realistic, super detailed))), smiling, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>, <lora:FaceBeauty_qinglong_V3:1.5>
negative_prompt
Specify things to not see in the output
(CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding
num_outputs
Number of output images
4
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
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
2
brightness
Adjust brightness
0
contrast
Adjust contrast
1.29
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3335495640
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
35
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
vae-ft-mse-840000-ema-pruned_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiC35mm.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
epiCNegative.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
epiCPhoto.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
realisticvision-negative-embedding.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/25bdfdfb1c8140cc936db2873cbf369c/00000-3335495640.webp
https://files.tungsten.run/uploads/68038b81881e41019c24d493dcc3e2b3/00001-3335495641.webp
https://files.tungsten.run/uploads/f8d8910675fe40b7910e6165c6e61e01/00002-3335495642.webp
https://files.tungsten.run/uploads/b394d1c5d6dc4c518cb2b885b7ddf5aa/00003-3335495643.webp
Finished in 91.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/vae-ft-mse-840000-ema-pruned_fp16.safetensors Full prompt: Snowstorm,(ACADEMy Award Winning),everest mountain top cinematic hd,solo, exotic, bold colorful tattoos. Hardened, age 36, rugged, bold moutain female climber is wearing a black and gold hiker gear, climbing snow covered, by Steve McCurry, 35mm, F/2.8, ((insanely detailed and intricate, character, hypermaximalist, elegant, ornate, beautiful, exotic, revealing, appealing, attractive, amative, hyper realistic, super detailed))), smiling, realistic, real photo, realistic skin texture, skin imperfections, skin pores, sharp details, bright light, 8k, HDR, f.1/2, 70mm lens, Kodak, Analog style, epiCPhoto, epiC35mm, <lora:epiC35mm:1>, <lora:FaceBeauty_qinglong_V3:1.5>, <lora:add_detail:2.0>, <lora:contrast_slider_v10:1.29> Full negative prompt: (CLEAVAGE:1.5), (NSFW:1.5), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, (piercing:1.3) (hands:1.35), epiCNegative, realisticvision-negative-embedding 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:11, 2.09s/it] 6%|▌ | 2/35 [00:03<00:55, 1.67s/it] 9%|▊ | 3/35 [00:04<00:49, 1.53s/it] 11%|█▏ | 4/35 [00:06<00:45, 1.48s/it] 14%|█▍ | 5/35 [00:07<00:43, 1.44s/it] 17%|█▋ | 6/35 [00:09<00:41, 1.43s/it] 20%|██ | 7/35 [00:10<00:39, 1.42s/it] 23%|██▎ | 8/35 [00:11<00:38, 1.41s/it] 26%|██▌ | 9/35 [00:13<00:36, 1.41s/it] 29%|██▊ | 10/35 [00:14<00:35, 1.40s/it] 31%|███▏ | 11/35 [00:15<00:33, 1.40s/it] 34%|███▍ | 12/35 [00:17<00:32, 1.40s/it] 37%|███▋ | 13/35 [00:18<00:30, 1.40s/it] 40%|████ | 14/35 [00:20<00:29, 1.40s/it] 43%|████▎ | 15/35 [00:21<00:27, 1.40s/it] 46%|████▌ | 16/35 [00:22<00:26, 1.40s/it] 49%|████▊ | 17/35 [00:24<00:25, 1.40s/it] 51%|█████▏ | 18/35 [00:25<00:23, 1.40s/it] 54%|█████▍ | 19/35 [00:27<00:22, 1.39s/it] 57%|█████▋ | 20/35 [00:28<00:20, 1.39s/it] 60%|██████ | 21/35 [00:29<00:19, 1.39s/it] 63%|██████▎ | 22/35 [00:31<00:18, 1.39s/it] 66%|██████▌ | 23/35 [00:32<00:16, 1.39s/it] 69%|██████▊ | 24/35 [00:34<00:15, 1.39s/it] 71%|███████▏ | 25/35 [00:35<00:13, 1.38s/it] 74%|███████▍ | 26/35 [00:36<00:12, 1.38s/it] 77%|███████▋ | 27/35 [00:38<00:11, 1.38s/it] 80%|████████ | 28/35 [00:39<00:09, 1.38s/it] 83%|████████▎ | 29/35 [00:40<00:08, 1.37s/it] 86%|████████▌ | 30/35 [00:42<00:06, 1.37s/it] 89%|████████▊ | 31/35 [00:43<00:05, 1.37s/it] 91%|█████████▏| 32/35 [00:45<00:04, 1.37s/it] 94%|█████████▍| 33/35 [00:46<00:02, 1.37s/it] 97%|█████████▋| 34/35 [00:47<00:01, 1.37s/it] 100%|██████████| 35/35 [00:49<00:00, 1.37s/it] 100%|██████████| 35/35 [00:49<00:00, 1.40s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.05s