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Silk Dress with GonzalesV16_WetDreams_V02 NewWetDream
GonzalesV16_WetDreams_V02:NewWetDream
sparks
sparks
·
Jun 28
4
Input
prompt
Specify things to see in the output
cinematic film still girl at lanzarote beach, silk dress, dawn misty morning , sandy beach, view from back . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
negative_prompt
Specify things to not see in the output
anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
1280
height
Output image height
960
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.4
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.
3701005631
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
46
cfg_scale
Scale for classifier-free guidance
3
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/4ddabdaf37b34aa995989e882f7c12d1/00000-3701005631.webp
https://files.tungsten.run/uploads/01ac46ef6514463999d3a10c4061c276/00001-3701005632.webp
https://files.tungsten.run/uploads/f48a23ed92ae4254b50a1186e3f62ddf/00002-3701005633.webp
Finished in 97.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic film still girl at lanzarote beach, silk dress, dawn misty morning , sandy beach, view from back . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, <lora:add-detail-xl:1.0> Full negative prompt: anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured 0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:02<01:40, 2.24s/it] 4%|▍ | 2/46 [00:03<01:19, 1.82s/it] 7%|▋ | 3/46 [00:05<01:12, 1.68s/it] 9%|▊ | 4/46 [00:06<01:07, 1.61s/it] 11%|█ | 5/46 [00:08<01:04, 1.58s/it] 13%|█▎ | 6/46 [00:09<01:02, 1.56s/it] 15%|█▌ | 7/46 [00:11<01:00, 1.56s/it] 17%|█▋ | 8/46 [00:12<00:58, 1.55s/it] 20%|█▉ | 9/46 [00:14<00:57, 1.55s/it] 22%|██▏ | 10/46 [00:15<00:55, 1.54s/it] 24%|██▍ | 11/46 [00:17<00:53, 1.54s/it] 26%|██▌ | 12/46 [00:19<00:52, 1.54s/it] 28%|██▊ | 13/46 [00:20<00:50, 1.54s/it] 30%|███ | 14/46 [00:22<00:49, 1.54s/it] 33%|███▎ | 15/46 [00:23<00:47, 1.54s/it] 35%|███▍ | 16/46 [00:25<00:46, 1.54s/it] 37%|███▋ | 17/46 [00:26<00:44, 1.54s/it] 39%|███▉ | 18/46 [00:28<00:43, 1.54s/it] 41%|████▏ | 19/46 [00:29<00:41, 1.55s/it] 43%|████▎ | 20/46 [00:31<00:40, 1.55s/it] 46%|████▌ | 21/46 [00:32<00:38, 1.55s/it] 48%|████▊ | 22/46 [00:34<00:37, 1.55s/it] 50%|█████ | 23/46 [00:36<00:35, 1.55s/it] 52%|█████▏ | 24/46 [00:37<00:34, 1.55s/it] 54%|█████▍ | 25/46 [00:39<00:32, 1.55s/it] 57%|█████▋ | 26/46 [00:40<00:31, 1.55s/it] 59%|█████▊ | 27/46 [00:42<00:29, 1.55s/it] 61%|██████ | 28/46 [00:43<00:27, 1.55s/it] 63%|██████▎ | 29/46 [00:45<00:26, 1.55s/it] 65%|██████▌ | 30/46 [00:46<00:24, 1.55s/it] 67%|██████▋ | 31/46 [00:48<00:23, 1.55s/it] 70%|██████▉ | 32/46 [00:50<00:21, 1.56s/it] 72%|███████▏ | 33/46 [00:51<00:20, 1.56s/it] 74%|███████▍ | 34/46 [00:53<00:18, 1.56s/it] 76%|███████▌ | 35/46 [00:54<00:17, 1.56s/it] 78%|███████▊ | 36/46 [00:56<00:15, 1.56s/it] 80%|████████ | 37/46 [00:57<00:14, 1.56s/it] 83%|████████▎ | 38/46 [00:59<00:12, 1.56s/it] 85%|████████▍ | 39/46 [01:00<00:10, 1.56s/it] 87%|████████▋ | 40/46 [01:02<00:09, 1.56s/it] 89%|████████▉ | 41/46 [01:04<00:07, 1.56s/it] 91%|█████████▏| 42/46 [01:05<00:06, 1.56s/it] 93%|█████████▎| 43/46 [01:07<00:04, 1.56s/it] 96%|█████████▌| 44/46 [01:08<00:03, 1.56s/it] 98%|█████████▊| 45/46 [01:10<00:01, 1.57s/it] 100%|██████████| 46/46 [01:11<00:00, 1.57s/it] 100%|██████████| 46/46 [01:11<00:00, 1.56s/it] Decoding latents in cuda:0... done in 2.85s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
cinematic film still girl at lanzarote beach, silk dress, dawn misty morning , sandy beach, view from back . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy
negative_prompt
Specify things to not see in the output
anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
1280
height
Output image height
960
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.4
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.
3701005631
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
46
cfg_scale
Scale for classifier-free guidance
3
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/4ddabdaf37b34aa995989e882f7c12d1/00000-3701005631.webp
https://files.tungsten.run/uploads/01ac46ef6514463999d3a10c4061c276/00001-3701005632.webp
https://files.tungsten.run/uploads/f48a23ed92ae4254b50a1186e3f62ddf/00002-3701005633.webp
Finished in 97.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic film still girl at lanzarote beach, silk dress, dawn misty morning , sandy beach, view from back . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, <lora:add-detail-xl:1.0> Full negative prompt: anime, cartoon, graphic, text, painting, crayon, graphite, abstract, glitch, deformed, mutated, ugly, disfigured 0%| | 0/46 [00:00<?, ?it/s] 2%|▏ | 1/46 [00:02<01:40, 2.24s/it] 4%|▍ | 2/46 [00:03<01:19, 1.82s/it] 7%|▋ | 3/46 [00:05<01:12, 1.68s/it] 9%|▊ | 4/46 [00:06<01:07, 1.61s/it] 11%|█ | 5/46 [00:08<01:04, 1.58s/it] 13%|█▎ | 6/46 [00:09<01:02, 1.56s/it] 15%|█▌ | 7/46 [00:11<01:00, 1.56s/it] 17%|█▋ | 8/46 [00:12<00:58, 1.55s/it] 20%|█▉ | 9/46 [00:14<00:57, 1.55s/it] 22%|██▏ | 10/46 [00:15<00:55, 1.54s/it] 24%|██▍ | 11/46 [00:17<00:53, 1.54s/it] 26%|██▌ | 12/46 [00:19<00:52, 1.54s/it] 28%|██▊ | 13/46 [00:20<00:50, 1.54s/it] 30%|███ | 14/46 [00:22<00:49, 1.54s/it] 33%|███▎ | 15/46 [00:23<00:47, 1.54s/it] 35%|███▍ | 16/46 [00:25<00:46, 1.54s/it] 37%|███▋ | 17/46 [00:26<00:44, 1.54s/it] 39%|███▉ | 18/46 [00:28<00:43, 1.54s/it] 41%|████▏ | 19/46 [00:29<00:41, 1.55s/it] 43%|████▎ | 20/46 [00:31<00:40, 1.55s/it] 46%|████▌ | 21/46 [00:32<00:38, 1.55s/it] 48%|████▊ | 22/46 [00:34<00:37, 1.55s/it] 50%|█████ | 23/46 [00:36<00:35, 1.55s/it] 52%|█████▏ | 24/46 [00:37<00:34, 1.55s/it] 54%|█████▍ | 25/46 [00:39<00:32, 1.55s/it] 57%|█████▋ | 26/46 [00:40<00:31, 1.55s/it] 59%|█████▊ | 27/46 [00:42<00:29, 1.55s/it] 61%|██████ | 28/46 [00:43<00:27, 1.55s/it] 63%|██████▎ | 29/46 [00:45<00:26, 1.55s/it] 65%|██████▌ | 30/46 [00:46<00:24, 1.55s/it] 67%|██████▋ | 31/46 [00:48<00:23, 1.55s/it] 70%|██████▉ | 32/46 [00:50<00:21, 1.56s/it] 72%|███████▏ | 33/46 [00:51<00:20, 1.56s/it] 74%|███████▍ | 34/46 [00:53<00:18, 1.56s/it] 76%|███████▌ | 35/46 [00:54<00:17, 1.56s/it] 78%|███████▊ | 36/46 [00:56<00:15, 1.56s/it] 80%|████████ | 37/46 [00:57<00:14, 1.56s/it] 83%|████████▎ | 38/46 [00:59<00:12, 1.56s/it] 85%|████████▍ | 39/46 [01:00<00:10, 1.56s/it] 87%|████████▋ | 40/46 [01:02<00:09, 1.56s/it] 89%|████████▉ | 41/46 [01:04<00:07, 1.56s/it] 91%|█████████▏| 42/46 [01:05<00:06, 1.56s/it] 93%|█████████▎| 43/46 [01:07<00:04, 1.56s/it] 96%|█████████▌| 44/46 [01:08<00:03, 1.56s/it] 98%|█████████▊| 45/46 [01:10<00:01, 1.57s/it] 100%|██████████| 46/46 [01:11<00:00, 1.57s/it] 100%|██████████| 46/46 [01:11<00:00, 1.56s/it] Decoding latents in cuda:0... done in 2.85s Move latents to cpu... done in 0.02s