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General with MorphXL v2.0
MorphXL:v2.0
sparks
sparks
·
May 14
7
Input
prompt
Specify things to see in the output
photograph close up portrait 62-year-old tough decorated general, CLEAN SHAVEN, serious, stoic cinematic 4k epic detailed 4k epic detailed photograph shot, by diegocr
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.
1024765854
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
80
cfg_scale
Scale for classifier-free guidance
3.5
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/8ce2e3a2332d4fc8bdd17b77a54b2aa5/00000-1024765854.webp
https://files.tungsten.run/uploads/256eef301bd04c9aafe3ddf5df4d69c3/00001-1024765855.webp
https://files.tungsten.run/uploads/680c3f94721e40d1895b5bf57a198491/00002-1024765856.webp
Finished in 200.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: photograph close up portrait 62-year-old tough decorated general, CLEAN SHAVEN, serious, stoic cinematic 4k epic detailed 4k epic detailed photograph shot, by diegocr, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:03<04:02, 3.06s/it] 2%|▎ | 2/80 [00:05<03:40, 2.83s/it] 4%|▍ | 3/80 [00:08<03:29, 2.72s/it] 5%|▌ | 4/80 [00:10<03:23, 2.68s/it] 6%|▋ | 5/80 [00:13<03:15, 2.61s/it] 8%|▊ | 6/80 [00:16<03:13, 2.62s/it] 9%|▉ | 7/80 [00:18<03:14, 2.66s/it] 10%|█ | 8/80 [00:21<03:09, 2.63s/it] 11%|█▏ | 9/80 [00:23<03:05, 2.62s/it] 12%|█▎ | 10/80 [00:26<03:03, 2.62s/it] 14%|█▍ | 11/80 [00:29<02:58, 2.59s/it] 15%|█▌ | 12/80 [00:31<02:55, 2.58s/it] 16%|█▋ | 13/80 [00:34<02:51, 2.55s/it] 18%|█▊ | 14/80 [00:36<02:49, 2.56s/it] 19%|█▉ | 15/80 [00:39<02:47, 2.58s/it] 20%|██ | 16/80 [00:41<02:40, 2.50s/it] 21%|██▏ | 17/80 [00:44<02:36, 2.48s/it] 22%|██▎ | 18/80 [00:46<02:32, 2.46s/it] 24%|██▍ | 19/80 [00:49<02:31, 2.49s/it] 25%|██▌ | 20/80 [00:51<02:29, 2.49s/it] 26%|██▋ | 21/80 [00:54<02:26, 2.48s/it] 28%|██▊ | 22/80 [00:56<02:28, 2.55s/it] 29%|██▉ | 23/80 [00:59<02:21, 2.49s/it] 30%|███ | 24/80 [01:01<02:15, 2.43s/it] 31%|███▏ | 25/80 [01:03<02:13, 2.43s/it] 32%|███▎ | 26/80 [01:06<02:13, 2.48s/it] 34%|███▍ | 27/80 [01:08<02:09, 2.44s/it] 35%|███▌ | 28/80 [01:11<02:09, 2.48s/it] 36%|███▋ | 29/80 [01:13<02:07, 2.49s/it] 38%|███▊ | 30/80 [01:16<02:04, 2.49s/it] 39%|███▉ | 31/80 [01:18<01:59, 2.44s/it] 40%|████ | 32/80 [01:21<01:56, 2.44s/it] 41%|████▏ | 33/80 [01:23<01:52, 2.40s/it] 42%|████▎ | 34/80 [01:25<01:51, 2.43s/it] 44%|████▍ | 35/80 [01:28<01:46, 2.37s/it] 45%|████▌ | 36/80 [01:30<01:44, 2.38s/it] 46%|████▋ | 37/80 [01:33<01:43, 2.40s/it] 48%|████▊ | 38/80 [01:35<01:41, 2.41s/it] 49%|████▉ | 39/80 [01:37<01:38, 2.41s/it] 50%|█████ | 40/80 [01:40<01:35, 2.40s/it] 51%|█████▏ | 41/80 [01:42<01:35, 2.44s/it] 52%|█████▎ | 42/80 [01:45<01:32, 2.43s/it] 54%|█████▍ | 43/80 [01:47<01:31, 2.46s/it] 55%|█████▌ | 44/80 [01:50<01:27, 2.44s/it] 56%|█████▋ | 45/80 [01:52<01:25, 2.45s/it] 57%|█████▊ | 46/80 [01:54<01:21, 2.41s/it] 59%|█████▉ | 47/80 [01:57<01:20, 2.43s/it] 60%|██████ | 48/80 [01:59<01:17, 2.43s/it] 61%|██████▏ | 49/80 [02:02<01:16, 2.47s/it] 62%|██████▎ | 50/80 [02:04<01:12, 2.43s/it] 64%|██████▍ | 51/80 [02:06<01:09, 2.39s/it] 65%|██████▌ | 52/80 [02:09<01:07, 2.41s/it] 66%|██████▋ | 53/80 [02:11<01:04, 2.38s/it] 68%|██████▊ | 54/80 [02:13<01:00, 2.33s/it] 69%|██████▉ | 55/80 [02:16<00:59, 2.37s/it] 70%|███████ | 56/80 [02:18<00:56, 2.36s/it] 71%|███████▏ | 57/80 [02:21<00:53, 2.35s/it] 72%|███████▎ | 58/80 [02:23<00:51, 2.33s/it] 74%|███████▍ | 59/80 [02:25<00:47, 2.27s/it] 75%|███████▌ | 60/80 [02:27<00:45, 2.28s/it] 76%|███████▋ | 61/80 [02:30<00:45, 2.37s/it] 78%|███████▊ | 62/80 [02:32<00:42, 2.36s/it] 79%|███████▉ | 63/80 [02:35<00:40, 2.41s/it] 80%|████████ | 64/80 [02:37<00:38, 2.39s/it] 81%|████████▏ | 65/80 [02:40<00:36, 2.45s/it] 82%|████████▎ | 66/80 [02:42<00:34, 2.44s/it] 84%|████████▍ | 67/80 [02:45<00:31, 2.45s/it] 85%|████████▌ | 68/80 [02:47<00:28, 2.41s/it] 86%|████████▋ | 69/80 [02:49<00:26, 2.41s/it] 88%|████████▊ | 70/80 [02:52<00:23, 2.39s/it] 89%|████████▉ | 71/80 [02:54<00:21, 2.42s/it] 90%|█████████ | 72/80 [02:56<00:18, 2.35s/it] 91%|█████████▏| 73/80 [02:59<00:16, 2.39s/it] 92%|█████████▎| 74/80 [03:01<00:14, 2.40s/it] 94%|█████████▍| 75/80 [03:04<00:11, 2.38s/it] 95%|█████████▌| 76/80 [03:06<00:09, 2.37s/it] 96%|█████████▋| 77/80 [03:08<00:07, 2.40s/it] 98%|█████████▊| 78/80 [03:11<00:04, 2.35s/it] 99%|█████████▉| 79/80 [03:12<00:02, 2.14s/it] 100%|██████████| 80/80 [03:13<00:00, 1.87s/it] 100%|██████████| 80/80 [03:13<00:00, 2.42s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.02s Uploading outputs...
prompt
Specify things to see in the output
photograph close up portrait 62-year-old tough decorated general, CLEAN SHAVEN, serious, stoic cinematic 4k epic detailed 4k epic detailed photograph shot, by diegocr
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.
1024765854
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
80
cfg_scale
Scale for classifier-free guidance
3.5
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/8ce2e3a2332d4fc8bdd17b77a54b2aa5/00000-1024765854.webp
https://files.tungsten.run/uploads/256eef301bd04c9aafe3ddf5df4d69c3/00001-1024765855.webp
https://files.tungsten.run/uploads/680c3f94721e40d1895b5bf57a198491/00002-1024765856.webp
Finished in 200.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: photograph close up portrait 62-year-old tough decorated general, CLEAN SHAVEN, serious, stoic cinematic 4k epic detailed 4k epic detailed photograph shot, by diegocr, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:03<04:02, 3.06s/it] 2%|▎ | 2/80 [00:05<03:40, 2.83s/it] 4%|▍ | 3/80 [00:08<03:29, 2.72s/it] 5%|▌ | 4/80 [00:10<03:23, 2.68s/it] 6%|▋ | 5/80 [00:13<03:15, 2.61s/it] 8%|▊ | 6/80 [00:16<03:13, 2.62s/it] 9%|▉ | 7/80 [00:18<03:14, 2.66s/it] 10%|█ | 8/80 [00:21<03:09, 2.63s/it] 11%|█▏ | 9/80 [00:23<03:05, 2.62s/it] 12%|█▎ | 10/80 [00:26<03:03, 2.62s/it] 14%|█▍ | 11/80 [00:29<02:58, 2.59s/it] 15%|█▌ | 12/80 [00:31<02:55, 2.58s/it] 16%|█▋ | 13/80 [00:34<02:51, 2.55s/it] 18%|█▊ | 14/80 [00:36<02:49, 2.56s/it] 19%|█▉ | 15/80 [00:39<02:47, 2.58s/it] 20%|██ | 16/80 [00:41<02:40, 2.50s/it] 21%|██▏ | 17/80 [00:44<02:36, 2.48s/it] 22%|██▎ | 18/80 [00:46<02:32, 2.46s/it] 24%|██▍ | 19/80 [00:49<02:31, 2.49s/it] 25%|██▌ | 20/80 [00:51<02:29, 2.49s/it] 26%|██▋ | 21/80 [00:54<02:26, 2.48s/it] 28%|██▊ | 22/80 [00:56<02:28, 2.55s/it] 29%|██▉ | 23/80 [00:59<02:21, 2.49s/it] 30%|███ | 24/80 [01:01<02:15, 2.43s/it] 31%|███▏ | 25/80 [01:03<02:13, 2.43s/it] 32%|███▎ | 26/80 [01:06<02:13, 2.48s/it] 34%|███▍ | 27/80 [01:08<02:09, 2.44s/it] 35%|███▌ | 28/80 [01:11<02:09, 2.48s/it] 36%|███▋ | 29/80 [01:13<02:07, 2.49s/it] 38%|███▊ | 30/80 [01:16<02:04, 2.49s/it] 39%|███▉ | 31/80 [01:18<01:59, 2.44s/it] 40%|████ | 32/80 [01:21<01:56, 2.44s/it] 41%|████▏ | 33/80 [01:23<01:52, 2.40s/it] 42%|████▎ | 34/80 [01:25<01:51, 2.43s/it] 44%|████▍ | 35/80 [01:28<01:46, 2.37s/it] 45%|████▌ | 36/80 [01:30<01:44, 2.38s/it] 46%|████▋ | 37/80 [01:33<01:43, 2.40s/it] 48%|████▊ | 38/80 [01:35<01:41, 2.41s/it] 49%|████▉ | 39/80 [01:37<01:38, 2.41s/it] 50%|█████ | 40/80 [01:40<01:35, 2.40s/it] 51%|█████▏ | 41/80 [01:42<01:35, 2.44s/it] 52%|█████▎ | 42/80 [01:45<01:32, 2.43s/it] 54%|█████▍ | 43/80 [01:47<01:31, 2.46s/it] 55%|█████▌ | 44/80 [01:50<01:27, 2.44s/it] 56%|█████▋ | 45/80 [01:52<01:25, 2.45s/it] 57%|█████▊ | 46/80 [01:54<01:21, 2.41s/it] 59%|█████▉ | 47/80 [01:57<01:20, 2.43s/it] 60%|██████ | 48/80 [01:59<01:17, 2.43s/it] 61%|██████▏ | 49/80 [02:02<01:16, 2.47s/it] 62%|██████▎ | 50/80 [02:04<01:12, 2.43s/it] 64%|██████▍ | 51/80 [02:06<01:09, 2.39s/it] 65%|██████▌ | 52/80 [02:09<01:07, 2.41s/it] 66%|██████▋ | 53/80 [02:11<01:04, 2.38s/it] 68%|██████▊ | 54/80 [02:13<01:00, 2.33s/it] 69%|██████▉ | 55/80 [02:16<00:59, 2.37s/it] 70%|███████ | 56/80 [02:18<00:56, 2.36s/it] 71%|███████▏ | 57/80 [02:21<00:53, 2.35s/it] 72%|███████▎ | 58/80 [02:23<00:51, 2.33s/it] 74%|███████▍ | 59/80 [02:25<00:47, 2.27s/it] 75%|███████▌ | 60/80 [02:27<00:45, 2.28s/it] 76%|███████▋ | 61/80 [02:30<00:45, 2.37s/it] 78%|███████▊ | 62/80 [02:32<00:42, 2.36s/it] 79%|███████▉ | 63/80 [02:35<00:40, 2.41s/it] 80%|████████ | 64/80 [02:37<00:38, 2.39s/it] 81%|████████▏ | 65/80 [02:40<00:36, 2.45s/it] 82%|████████▎ | 66/80 [02:42<00:34, 2.44s/it] 84%|████████▍ | 67/80 [02:45<00:31, 2.45s/it] 85%|████████▌ | 68/80 [02:47<00:28, 2.41s/it] 86%|████████▋ | 69/80 [02:49<00:26, 2.41s/it] 88%|████████▊ | 70/80 [02:52<00:23, 2.39s/it] 89%|████████▉ | 71/80 [02:54<00:21, 2.42s/it] 90%|█████████ | 72/80 [02:56<00:18, 2.35s/it] 91%|█████████▏| 73/80 [02:59<00:16, 2.39s/it] 92%|█████████▎| 74/80 [03:01<00:14, 2.40s/it] 94%|█████████▍| 75/80 [03:04<00:11, 2.38s/it] 95%|█████████▌| 76/80 [03:06<00:09, 2.37s/it] 96%|█████████▋| 77/80 [03:08<00:07, 2.40s/it] 98%|█████████▊| 78/80 [03:11<00:04, 2.35s/it] 99%|█████████▉| 79/80 [03:12<00:02, 2.14s/it] 100%|██████████| 80/80 [03:13<00:00, 1.87s/it] 100%|██████████| 80/80 [03:13<00:00, 2.42s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.02s Uploading outputs...