Biking on the Moon with SoftFantasy
·
Feb 12
385
Input
prompt
Specify things to see in the output
Hyperrealistic art (Masterpiece Photo:1.3) of (Ultra detailed:1.3) Gorgeous young woman, Riding a motorcycle, On the Moon,(by Artist Jan Hendrik Weissenbruch:1.3),Highly Detailed,(Berlin Secession:1.3),(Electric Colors:1.3) . Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, awesomize, <lora:EnvyAwesomizeXL01:2>
negative_prompt
Specify things to not see in the output
simplified, abstract, unrealistic, impressionistic, low resolution, fat, nude, nipples, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
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
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.
3449423997
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
20
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
1
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/c83b89c84a8e4f298462cf2ccb39dad1/00000-3449423997.webp
https://files.tungsten.run/uploads/6e5d2bfc5aea47039664ee579ecaa687/00001-3449423998.webp
https://files.tungsten.run/uploads/86e26a8b816143b1913f6a3361633488/00002-3449423999.webp
Finished in 79.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Hyperrealistic art (Masterpiece Photo:1.3) of (Ultra detailed:1.3) Gorgeous young woman, Riding a motorcycle, On the Moon,(by Artist Jan Hendrik Weissenbruch:1.3),Highly Detailed,(Berlin Secession:1.3),(Electric Colors:1.3) . Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, awesomize, <lora:EnvyAwesomizeXL01:2>, <lora:add-detail-xl:1.0> Full negative prompt: simplified, abstract, unrealistic, impressionistic, low resolution, fat, nude, nipples, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:09, 3.64s/it] 10%|█ | 2/20 [00:05<00:45, 2.52s/it] 15%|█▌ | 3/20 [00:07<00:36, 2.16s/it] 20%|██ | 4/20 [00:08<00:31, 2.00s/it] 25%|██▌ | 5/20 [00:10<00:28, 1.91s/it] 30%|███ | 6/20 [00:12<00:26, 1.86s/it] 35%|███▌ | 7/20 [00:14<00:23, 1.83s/it] 40%|████ | 8/20 [00:15<00:21, 1.81s/it] 45%|████▌ | 9/20 [00:17<00:19, 1.79s/it] 50%|█████ | 10/20 [00:19<00:17, 1.79s/it] 55%|█████▌ | 11/20 [00:21<00:16, 1.78s/it] 60%|██████ | 12/20 [00:22<00:14, 1.78s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.78s/it] 70%|███████ | 14/20 [00:26<00:10, 1.78s/it] 75%|███████▌ | 15/20 [00:28<00:08, 1.78s/it] 80%|████████ | 16/20 [00:30<00:07, 1.79s/it] 85%|████████▌ | 17/20 [00:31<00:05, 1.79s/it] 90%|█████████ | 18/20 [00:33<00:03, 1.79s/it] 95%|█████████▌| 19/20 [00:35<00:01, 1.78s/it] 100%|██████████| 20/20 [00:37<00:00, 1.78s/it] 100%|██████████| 20/20 [00:37<00:00, 1.86s/it] Decoding latents in cuda:0... done in 3.14s Move latents to cpu... done in 0.03s 0: 640x512 1 face, 161.3ms Speed: 2.5ms preprocess, 161.3ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.94it/s] 29%|██▊ | 2/7 [00:01<00:02, 1.95it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.96it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.96it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.96it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] Decoding latents in cuda:0... done in 1.03s Move latents to cpu... done in 0.0s 0: 640x512 1 hand, 98.6ms Speed: 2.2ms preprocess, 98.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.05it/s] 29%|██▊ | 2/7 [00:00<00:02, 2.00it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.98it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.97it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.97it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.05it/s] 29%|██▊ | 2/7 [00:00<00:02, 2.00it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.98it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.97it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.97it/s] Decoding latents in cuda:0... done in 1.03s Move latents to cpu... done in 0.0s 0: 640x512 (no detections), 7.9ms Speed: 2.2ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 512) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x512 1 face, 8.2ms Speed: 2.2ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.04it/s] 29%|██▊ | 2/7 [00:00<00:02, 2.00it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.97it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.96it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.97it/s] Decoding latents in cuda:0... done in 1.03s Move latents to cpu... done in 0.0s 0: 640x512 (no detections), 8.6ms Speed: 2.2ms preprocess, 8.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 512) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
Hyperrealistic art (Masterpiece Photo:1.3) of (Ultra detailed:1.3) Gorgeous young woman, Riding a motorcycle, On the Moon,(by Artist Jan Hendrik Weissenbruch:1.3),Highly Detailed,(Berlin Secession:1.3),(Electric Colors:1.3) . Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, awesomize, <lora:EnvyAwesomizeXL01:2>
negative_prompt
Specify things to not see in the output
simplified, abstract, unrealistic, impressionistic, low resolution, fat, nude, nipples, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1280
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
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.
3449423997
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
20
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
1
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/c83b89c84a8e4f298462cf2ccb39dad1/00000-3449423997.webp
https://files.tungsten.run/uploads/6e5d2bfc5aea47039664ee579ecaa687/00001-3449423998.webp
https://files.tungsten.run/uploads/86e26a8b816143b1913f6a3361633488/00002-3449423999.webp
Finished in 79.3 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Hyperrealistic art (Masterpiece Photo:1.3) of (Ultra detailed:1.3) Gorgeous young woman, Riding a motorcycle, On the Moon,(by Artist Jan Hendrik Weissenbruch:1.3),Highly Detailed,(Berlin Secession:1.3),(Electric Colors:1.3) . Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, awesomize, <lora:EnvyAwesomizeXL01:2>, <lora:add-detail-xl:1.0> Full negative prompt: simplified, abstract, unrealistic, impressionistic, low resolution, fat, nude, nipples, Amateur, Low rated, Phone, Wedding, Frame, Painting, tumblr, watermark, signature 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:03<01:09, 3.64s/it] 10%|█ | 2/20 [00:05<00:45, 2.52s/it] 15%|█▌ | 3/20 [00:07<00:36, 2.16s/it] 20%|██ | 4/20 [00:08<00:31, 2.00s/it] 25%|██▌ | 5/20 [00:10<00:28, 1.91s/it] 30%|███ | 6/20 [00:12<00:26, 1.86s/it] 35%|███▌ | 7/20 [00:14<00:23, 1.83s/it] 40%|████ | 8/20 [00:15<00:21, 1.81s/it] 45%|████▌ | 9/20 [00:17<00:19, 1.79s/it] 50%|█████ | 10/20 [00:19<00:17, 1.79s/it] 55%|█████▌ | 11/20 [00:21<00:16, 1.78s/it] 60%|██████ | 12/20 [00:22<00:14, 1.78s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.78s/it] 70%|███████ | 14/20 [00:26<00:10, 1.78s/it] 75%|███████▌ | 15/20 [00:28<00:08, 1.78s/it] 80%|████████ | 16/20 [00:30<00:07, 1.79s/it] 85%|████████▌ | 17/20 [00:31<00:05, 1.79s/it] 90%|█████████ | 18/20 [00:33<00:03, 1.79s/it] 95%|█████████▌| 19/20 [00:35<00:01, 1.78s/it] 100%|██████████| 20/20 [00:37<00:00, 1.78s/it] 100%|██████████| 20/20 [00:37<00:00, 1.86s/it] Decoding latents in cuda:0... done in 3.14s Move latents to cpu... done in 0.03s 0: 640x512 1 face, 161.3ms Speed: 2.5ms preprocess, 161.3ms inference, 23.7ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:03, 1.94it/s] 29%|██▊ | 2/7 [00:01<00:02, 1.95it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.96it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.96it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.96it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] Decoding latents in cuda:0... done in 1.03s Move latents to cpu... done in 0.0s 0: 640x512 1 hand, 98.6ms Speed: 2.2ms preprocess, 98.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.05it/s] 29%|██▊ | 2/7 [00:00<00:02, 2.00it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.98it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.97it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.97it/s] Decoding latents in cuda:0... done in 1.02s Move latents to cpu... done in 0.0s 0: 640x512 1 face, 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.05it/s] 29%|██▊ | 2/7 [00:00<00:02, 2.00it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.98it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.97it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.97it/s] Decoding latents in cuda:0... done in 1.03s Move latents to cpu... done in 0.0s 0: 640x512 (no detections), 7.9ms Speed: 2.2ms preprocess, 7.9ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 512) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x512 1 face, 8.2ms Speed: 2.2ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 512) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.04it/s] 29%|██▊ | 2/7 [00:00<00:02, 2.00it/s] 43%|████▎ | 3/7 [00:01<00:02, 1.97it/s] 57%|█████▋ | 4/7 [00:02<00:01, 1.97it/s] 71%|███████▏ | 5/7 [00:02<00:01, 1.96it/s] 86%|████████▌ | 6/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.96it/s] 100%|██████████| 7/7 [00:03<00:00, 1.97it/s] Decoding latents in cuda:0... done in 1.03s Move latents to cpu... done in 0.0s 0: 640x512 (no detections), 8.6ms Speed: 2.2ms preprocess, 8.6ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 512) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.