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Sculpture with MorphXL v2.0
MorphXL:v2.0
sparks
sparks
·
May 14
13
Input
prompt
Specify things to see in the output
analog photo of a sculpture of a neural network organism, synthetic porcelain girl, ((mechanical, white skin:2, trypophobia:0.8)), (sharp focus, hyper detailed, highly intricate, physically based unbiased rendering), natural lighting, Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, cinematic, 35mm film, 35mm photography, film, photo realism, DSLR, 8k uhd, hdr, ultra-detailed, high quality, high contrast, by diegocr, DOF, blur background
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
896
height
Output image height
1152
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
2942418040
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++ 3M SDE
samping_steps
Number of denoising steps
76
cfg_scale
Scale for classifier-free guidance
4.5
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/b9239b804d88428fa7e6e597cf378468/00000-2942418040.webp
https://files.tungsten.run/uploads/53cd005851484522a549cef2e96a5702/00001-2942418041.webp
https://files.tungsten.run/uploads/f433f2aca0b241fe9e2fb31b82bcaf16/00002-2942418042.webp
Finished in 185.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: analog photo of a sculpture of a neural network organism, synthetic porcelain girl, ((mechanical, white skin:2, trypophobia:0.8)), (sharp focus, hyper detailed, highly intricate, physically based unbiased rendering), natural lighting, Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, cinematic, 35mm film, 35mm photography, film, photo realism, DSLR, 8k uhd, hdr, ultra-detailed, high quality, high contrast, by diegocr, DOF, blur background, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/76 [00:00<?, ?it/s] 1%|▏ | 1/76 [00:02<03:44, 3.00s/it] 3%|▎ | 2/76 [00:05<03:19, 2.69s/it] 4%|▍ | 3/76 [00:08<03:17, 2.70s/it] 5%|▌ | 4/76 [00:10<03:10, 2.64s/it] 7%|▋ | 5/76 [00:13<03:06, 2.63s/it] 8%|▊ | 6/76 [00:15<02:59, 2.57s/it] 9%|▉ | 7/76 [00:18<02:56, 2.56s/it] 11%|█ | 8/76 [00:20<02:55, 2.59s/it] 12%|█▏ | 9/76 [00:23<02:49, 2.53s/it] 13%|█▎ | 10/76 [00:25<02:46, 2.52s/it] 14%|█▍ | 11/76 [00:28<02:41, 2.49s/it] 16%|█▌ | 12/76 [00:30<02:40, 2.51s/it] 17%|█▋ | 13/76 [00:33<02:37, 2.50s/it] 18%|█▊ | 14/76 [00:35<02:34, 2.49s/it] 20%|█▉ | 15/76 [00:38<02:33, 2.52s/it] 21%|██ | 16/76 [00:40<02:27, 2.46s/it] 22%|██▏ | 17/76 [00:43<02:25, 2.47s/it] 24%|██▎ | 18/76 [00:45<02:20, 2.43s/it] 25%|██▌ | 19/76 [00:48<02:21, 2.48s/it] 26%|██▋ | 20/76 [00:50<02:19, 2.50s/it] 28%|██▊ | 21/76 [00:53<02:15, 2.46s/it] 29%|██▉ | 22/76 [00:55<02:09, 2.40s/it] 30%|███ | 23/76 [00:57<02:06, 2.38s/it] 32%|███▏ | 24/76 [01:00<02:05, 2.41s/it] 33%|███▎ | 25/76 [01:02<02:02, 2.40s/it] 34%|███▍ | 26/76 [01:04<02:01, 2.42s/it] 36%|███▌ | 27/76 [01:07<01:58, 2.41s/it] 37%|███▋ | 28/76 [01:09<01:56, 2.44s/it] 38%|███▊ | 29/76 [01:12<01:53, 2.41s/it] 39%|███▉ | 30/76 [01:14<01:52, 2.45s/it] 41%|████ | 31/76 [01:17<01:48, 2.40s/it] 42%|████▏ | 32/76 [01:19<01:45, 2.41s/it] 43%|████▎ | 33/76 [01:21<01:41, 2.36s/it] 45%|████▍ | 34/76 [01:23<01:37, 2.33s/it] 46%|████▌ | 35/76 [01:26<01:37, 2.39s/it] 47%|████▋ | 36/76 [01:28<01:34, 2.37s/it] 49%|████▊ | 37/76 [01:31<01:33, 2.40s/it] 50%|█████ | 38/76 [01:33<01:30, 2.38s/it] 51%|█████▏ | 39/76 [01:36<01:29, 2.41s/it] 53%|█████▎ | 40/76 [01:38<01:24, 2.35s/it] 54%|█████▍ | 41/76 [01:40<01:23, 2.37s/it] 55%|█████▌ | 42/76 [01:42<01:17, 2.28s/it] 57%|█████▋ | 43/76 [01:45<01:15, 2.28s/it] 58%|█████▊ | 44/76 [01:47<01:13, 2.29s/it] 59%|█████▉ | 45/76 [01:49<01:11, 2.29s/it] 61%|██████ | 46/76 [01:51<01:06, 2.21s/it] 62%|██████▏ | 47/76 [01:54<01:05, 2.27s/it] 63%|██████▎ | 48/76 [01:56<01:02, 2.24s/it] 64%|██████▍ | 49/76 [01:58<01:01, 2.29s/it] 66%|██████▌ | 50/76 [02:01<00:59, 2.30s/it] 67%|██████▋ | 51/76 [02:03<00:57, 2.29s/it] 68%|██████▊ | 52/76 [02:05<00:55, 2.32s/it] 70%|██████▉ | 53/76 [02:07<00:51, 2.26s/it] 71%|███████ | 54/76 [02:09<00:48, 2.22s/it] 72%|███████▏ | 55/76 [02:12<00:47, 2.28s/it] 74%|███████▎ | 56/76 [02:14<00:45, 2.27s/it] 75%|███████▌ | 57/76 [02:16<00:42, 2.25s/it] 76%|███████▋ | 58/76 [02:19<00:41, 2.28s/it] 78%|███████▊ | 59/76 [02:21<00:38, 2.27s/it] 79%|███████▉ | 60/76 [02:23<00:36, 2.29s/it] 80%|████████ | 61/76 [02:26<00:34, 2.32s/it] 82%|████████▏ | 62/76 [02:28<00:32, 2.33s/it] 83%|████████▎ | 63/76 [02:30<00:30, 2.36s/it] 84%|████████▍ | 64/76 [02:33<00:27, 2.32s/it] 86%|████████▌ | 65/76 [02:35<00:25, 2.36s/it] 87%|████████▋ | 66/76 [02:37<00:23, 2.34s/it] 88%|████████▊ | 67/76 [02:40<00:21, 2.34s/it] 89%|████████▉ | 68/76 [02:42<00:18, 2.30s/it] 91%|█████████ | 69/76 [02:44<00:16, 2.31s/it] 92%|█████████▏| 70/76 [02:46<00:13, 2.22s/it] 93%|█████████▎| 71/76 [02:49<00:11, 2.29s/it] 95%|█████████▍| 72/76 [02:51<00:08, 2.22s/it] 96%|█████████▌| 73/76 [02:53<00:06, 2.31s/it] 97%|█████████▋| 74/76 [02:56<00:04, 2.28s/it] 99%|█████████▊| 75/76 [02:57<00:02, 2.09s/it] 100%|██████████| 76/76 [02:58<00:00, 1.82s/it] 100%|██████████| 76/76 [02:58<00:00, 2.35s/it] Decoding latents in cuda:0... done in 2.3s Move latents to cpu... done in 0.02s Uploading outputs...
prompt
Specify things to see in the output
analog photo of a sculpture of a neural network organism, synthetic porcelain girl, ((mechanical, white skin:2, trypophobia:0.8)), (sharp focus, hyper detailed, highly intricate, physically based unbiased rendering), natural lighting, Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, cinematic, 35mm film, 35mm photography, film, photo realism, DSLR, 8k uhd, hdr, ultra-detailed, high quality, high contrast, by diegocr, DOF, blur background
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
896
height
Output image height
1152
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
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.
2942418040
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++ 3M SDE
samping_steps
Number of denoising steps
76
cfg_scale
Scale for classifier-free guidance
4.5
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/b9239b804d88428fa7e6e597cf378468/00000-2942418040.webp
https://files.tungsten.run/uploads/53cd005851484522a549cef2e96a5702/00001-2942418041.webp
https://files.tungsten.run/uploads/f433f2aca0b241fe9e2fb31b82bcaf16/00002-2942418042.webp
Finished in 185.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: analog photo of a sculpture of a neural network organism, synthetic porcelain girl, ((mechanical, white skin:2, trypophobia:0.8)), (sharp focus, hyper detailed, highly intricate, physically based unbiased rendering), natural lighting, Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike, cinematic, 35mm film, 35mm photography, film, photo realism, DSLR, 8k uhd, hdr, ultra-detailed, high quality, high contrast, by diegocr, DOF, blur background, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/76 [00:00<?, ?it/s] 1%|▏ | 1/76 [00:02<03:44, 3.00s/it] 3%|▎ | 2/76 [00:05<03:19, 2.69s/it] 4%|▍ | 3/76 [00:08<03:17, 2.70s/it] 5%|▌ | 4/76 [00:10<03:10, 2.64s/it] 7%|▋ | 5/76 [00:13<03:06, 2.63s/it] 8%|▊ | 6/76 [00:15<02:59, 2.57s/it] 9%|▉ | 7/76 [00:18<02:56, 2.56s/it] 11%|█ | 8/76 [00:20<02:55, 2.59s/it] 12%|█▏ | 9/76 [00:23<02:49, 2.53s/it] 13%|█▎ | 10/76 [00:25<02:46, 2.52s/it] 14%|█▍ | 11/76 [00:28<02:41, 2.49s/it] 16%|█▌ | 12/76 [00:30<02:40, 2.51s/it] 17%|█▋ | 13/76 [00:33<02:37, 2.50s/it] 18%|█▊ | 14/76 [00:35<02:34, 2.49s/it] 20%|█▉ | 15/76 [00:38<02:33, 2.52s/it] 21%|██ | 16/76 [00:40<02:27, 2.46s/it] 22%|██▏ | 17/76 [00:43<02:25, 2.47s/it] 24%|██▎ | 18/76 [00:45<02:20, 2.43s/it] 25%|██▌ | 19/76 [00:48<02:21, 2.48s/it] 26%|██▋ | 20/76 [00:50<02:19, 2.50s/it] 28%|██▊ | 21/76 [00:53<02:15, 2.46s/it] 29%|██▉ | 22/76 [00:55<02:09, 2.40s/it] 30%|███ | 23/76 [00:57<02:06, 2.38s/it] 32%|███▏ | 24/76 [01:00<02:05, 2.41s/it] 33%|███▎ | 25/76 [01:02<02:02, 2.40s/it] 34%|███▍ | 26/76 [01:04<02:01, 2.42s/it] 36%|███▌ | 27/76 [01:07<01:58, 2.41s/it] 37%|███▋ | 28/76 [01:09<01:56, 2.44s/it] 38%|███▊ | 29/76 [01:12<01:53, 2.41s/it] 39%|███▉ | 30/76 [01:14<01:52, 2.45s/it] 41%|████ | 31/76 [01:17<01:48, 2.40s/it] 42%|████▏ | 32/76 [01:19<01:45, 2.41s/it] 43%|████▎ | 33/76 [01:21<01:41, 2.36s/it] 45%|████▍ | 34/76 [01:23<01:37, 2.33s/it] 46%|████▌ | 35/76 [01:26<01:37, 2.39s/it] 47%|████▋ | 36/76 [01:28<01:34, 2.37s/it] 49%|████▊ | 37/76 [01:31<01:33, 2.40s/it] 50%|█████ | 38/76 [01:33<01:30, 2.38s/it] 51%|█████▏ | 39/76 [01:36<01:29, 2.41s/it] 53%|█████▎ | 40/76 [01:38<01:24, 2.35s/it] 54%|█████▍ | 41/76 [01:40<01:23, 2.37s/it] 55%|█████▌ | 42/76 [01:42<01:17, 2.28s/it] 57%|█████▋ | 43/76 [01:45<01:15, 2.28s/it] 58%|█████▊ | 44/76 [01:47<01:13, 2.29s/it] 59%|█████▉ | 45/76 [01:49<01:11, 2.29s/it] 61%|██████ | 46/76 [01:51<01:06, 2.21s/it] 62%|██████▏ | 47/76 [01:54<01:05, 2.27s/it] 63%|██████▎ | 48/76 [01:56<01:02, 2.24s/it] 64%|██████▍ | 49/76 [01:58<01:01, 2.29s/it] 66%|██████▌ | 50/76 [02:01<00:59, 2.30s/it] 67%|██████▋ | 51/76 [02:03<00:57, 2.29s/it] 68%|██████▊ | 52/76 [02:05<00:55, 2.32s/it] 70%|██████▉ | 53/76 [02:07<00:51, 2.26s/it] 71%|███████ | 54/76 [02:09<00:48, 2.22s/it] 72%|███████▏ | 55/76 [02:12<00:47, 2.28s/it] 74%|███████▎ | 56/76 [02:14<00:45, 2.27s/it] 75%|███████▌ | 57/76 [02:16<00:42, 2.25s/it] 76%|███████▋ | 58/76 [02:19<00:41, 2.28s/it] 78%|███████▊ | 59/76 [02:21<00:38, 2.27s/it] 79%|███████▉ | 60/76 [02:23<00:36, 2.29s/it] 80%|████████ | 61/76 [02:26<00:34, 2.32s/it] 82%|████████▏ | 62/76 [02:28<00:32, 2.33s/it] 83%|████████▎ | 63/76 [02:30<00:30, 2.36s/it] 84%|████████▍ | 64/76 [02:33<00:27, 2.32s/it] 86%|████████▌ | 65/76 [02:35<00:25, 2.36s/it] 87%|████████▋ | 66/76 [02:37<00:23, 2.34s/it] 88%|████████▊ | 67/76 [02:40<00:21, 2.34s/it] 89%|████████▉ | 68/76 [02:42<00:18, 2.30s/it] 91%|█████████ | 69/76 [02:44<00:16, 2.31s/it] 92%|█████████▏| 70/76 [02:46<00:13, 2.22s/it] 93%|█████████▎| 71/76 [02:49<00:11, 2.29s/it] 95%|█████████▍| 72/76 [02:51<00:08, 2.22s/it] 96%|█████████▌| 73/76 [02:53<00:06, 2.31s/it] 97%|█████████▋| 74/76 [02:56<00:04, 2.28s/it] 99%|█████████▊| 75/76 [02:57<00:02, 2.09s/it] 100%|██████████| 76/76 [02:58<00:00, 1.82s/it] 100%|██████████| 76/76 [02:58<00:00, 2.35s/it] Decoding latents in cuda:0... done in 2.3s Move latents to cpu... done in 0.02s Uploading outputs...