Human-Dragon Hybrid with Moxie Fusion XL v1.9
Input
prompt
Specify things to see in the output
<lora:detailer-xl:1>, breathtaking female human-dragon hybrid, covered in matte scales as skin, close-up of face, striking reptilian eyes, dragon horns, bald, braided ponytail, exudes confidence and power, sunset, rim lighting, cold colors. style of Don Lawrence, style of (Will Murai:1.2), style of (Greg Rutkowski:0.8), Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike . award-winning, professional, highly detailed
negative_prompt
Specify things to not see in the output
ugly, deformed, noisy, blurry, distorted, grainy, (cleavage:1.4), (cleavage cutout:1.4), plastic, long neck, asymmetrical eyes, signature, watermark, jpeg artifacts, cropped,
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0
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.
696760720
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 SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/f8bc009819cd4f76baa7e8e06b62265e/output-db0e580cd85d437cb37bb2df82254a83-00000-696760720.webp
https://files.tungsten.run/uploads/1fb9ba195644436293525f79b04e1740/output-3695d712ab8b42e48a135e7bbe1aa4c4-00001-696760721.webp
https://files.tungsten.run/uploads/a16b9ffb7c16435d9671be741bd7c843/output-5620e49eb2a346faaba8692cf17fbc33-00002-696760722.webp
Finished in 102.0 seconds
Full prompt: <lora:detailer-xl:1>, breathtaking female human-dragon hybrid, covered in matte scales as skin, close-up of face, striking reptilian eyes, dragon horns, bald, braided ponytail, exudes confidence and power, sunset, rim lighting, cold colors. style of Don Lawrence, style of (Will Murai:1.2), style of (Greg Rutkowski:0.8), Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike . award-winning, professional, highly detailed, <lora:EnvyAwesomizeXL01:2.0> Full negative prompt: ugly, deformed, noisy, blurry, distorted, grainy, (cleavage:1.4), (cleavage cutout:1.4), plastic, long neck, asymmetrical eyes, signature, watermark, jpeg artifacts, cropped, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:35, 3.28s/it] 7%|▋ | 2/30 [00:05<01:08, 2.46s/it] 10%|█ | 3/30 [00:07<01:04, 2.40s/it] 13%|█▎ | 4/30 [00:09<00:59, 2.27s/it] 17%|█▋ | 5/30 [00:11<00:54, 2.17s/it] 20%|██ | 6/30 [00:13<00:49, 2.07s/it] 23%|██▎ | 7/30 [00:15<00:46, 2.04s/it] 27%|██▋ | 8/30 [00:17<00:44, 2.00s/it] 30%|███ | 9/30 [00:19<00:41, 1.97s/it] 33%|███▎ | 10/30 [00:21<00:39, 1.97s/it] 37%|███▋ | 11/30 [00:23<00:37, 1.96s/it] 40%|████ | 12/30 [00:25<00:35, 1.96s/it] 43%|████▎ | 13/30 [00:27<00:33, 1.96s/it] 47%|████▋ | 14/30 [00:28<00:30, 1.89s/it] 50%|█████ | 15/30 [00:30<00:27, 1.86s/it] 53%|█████▎ | 16/30 [00:32<00:25, 1.85s/it] 57%|█████▋ | 17/30 [00:34<00:23, 1.82s/it] 60%|██████ | 18/30 [00:36<00:21, 1.83s/it] 63%|██████▎ | 19/30 [00:37<00:20, 1.82s/it] 67%|██████▋ | 20/30 [00:39<00:18, 1.83s/it] 70%|███████ | 21/30 [00:41<00:16, 1.81s/it] 73%|███████▎ | 22/30 [00:43<00:14, 1.83s/it] 77%|███████▋ | 23/30 [00:45<00:12, 1.79s/it] 80%|████████ | 24/30 [00:46<00:10, 1.80s/it] 83%|████████▎ | 25/30 [00:48<00:08, 1.76s/it] 87%|████████▋ | 26/30 [00:50<00:07, 1.76s/it] 90%|█████████ | 27/30 [00:51<00:05, 1.69s/it] 93%|█████████▎| 28/30 [00:53<00:03, 1.63s/it] 97%|█████████▋| 29/30 [00:54<00:01, 1.43s/it] 100%|██████████| 30/30 [00:55<00:00, 1.25s/it] 100%|██████████| 30/30 [00:55<00:00, 1.84s/it] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 120.7ms Speed: 2.0ms preprocess, 120.7ms inference, 13.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:10, 1.10it/s] 15%|█▌ | 2/13 [00:01<00:09, 1.18it/s] 23%|██▎ | 3/13 [00:02<00:08, 1.21it/s] 31%|███ | 4/13 [00:03<00:07, 1.24it/s] 38%|███▊ | 5/13 [00:04<00:06, 1.24it/s] 46%|████▌ | 6/13 [00:04<00:05, 1.27it/s] 54%|█████▍ | 7/13 [00:05<00:04, 1.26it/s] 62%|██████▏ | 8/13 [00:06<00:03, 1.29it/s] 69%|██████▉ | 9/13 [00:07<00:03, 1.29it/s] 77%|███████▋ | 10/13 [00:07<00:02, 1.33it/s] 85%|████████▍ | 11/13 [00:08<00:01, 1.37it/s] 92%|█████████▏| 12/13 [00:09<00:00, 1.51it/s] 100%|██████████| 13/13 [00:09<00:00, 1.66it/s] 100%|██████████| 13/13 [00:09<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.1ms Speed: 1.7ms preprocess, 6.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:09, 1.23it/s] 15%|█▌ | 2/13 [00:01<00:08, 1.24it/s] 23%|██▎ | 3/13 [00:02<00:08, 1.24it/s] 31%|███ | 4/13 [00:03<00:07, 1.25it/s] 38%|███▊ | 5/13 [00:04<00:06, 1.24it/s] 46%|████▌ | 6/13 [00:04<00:05, 1.26it/s] 54%|█████▍ | 7/13 [00:05<00:04, 1.25it/s] 62%|██████▏ | 8/13 [00:06<00:03, 1.28it/s] 69%|██████▉ | 9/13 [00:07<00:03, 1.27it/s] 77%|███████▋ | 10/13 [00:07<00:02, 1.31it/s] 85%|████████▍ | 11/13 [00:08<00:01, 1.34it/s] 92%|█████████▏| 12/13 [00:09<00:00, 1.47it/s] 100%|██████████| 13/13 [00:09<00:00, 1.62it/s] 100%|██████████| 13/13 [00:09<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.6ms Speed: 1.8ms preprocess, 6.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:09, 1.23it/s] 15%|█▌ | 2/13 [00:01<00:08, 1.25it/s] 23%|██▎ | 3/13 [00:02<00:08, 1.24it/s] 31%|███ | 4/13 [00:03<00:07, 1.26it/s] 38%|███▊ | 5/13 [00:04<00:06, 1.24it/s] 46%|████▌ | 6/13 [00:04<00:05, 1.27it/s] 54%|█████▍ | 7/13 [00:05<00:04, 1.26it/s] 62%|██████▏ | 8/13 [00:06<00:03, 1.28it/s] 69%|██████▉ | 9/13 [00:07<00:03, 1.28it/s] 77%|███████▋ | 10/13 [00:07<00:02, 1.32it/s] 85%|████████▍ | 11/13 [00:08<00:01, 1.35it/s] 92%|█████████▏| 12/13 [00:09<00:00, 1.37it/s] 100%|██████████| 13/13 [00:09<00:00, 1.40it/s] 100%|██████████| 13/13 [00:09<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.54s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
<lora:detailer-xl:1>, breathtaking female human-dragon hybrid, covered in matte scales as skin, close-up of face, striking reptilian eyes, dragon horns, bald, braided ponytail, exudes confidence and power, sunset, rim lighting, cold colors. style of Don Lawrence, style of (Will Murai:1.2), style of (Greg Rutkowski:0.8), Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike . award-winning, professional, highly detailed
negative_prompt
Specify things to not see in the output
ugly, deformed, noisy, blurry, distorted, grainy, (cleavage:1.4), (cleavage cutout:1.4), plastic, long neck, asymmetrical eyes, signature, watermark, jpeg artifacts, cropped,
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
num_outputs
Number of output images
3
width
Output image width
768
height
Output image height
1024
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
0
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.
696760720
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 SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
8
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/f8bc009819cd4f76baa7e8e06b62265e/output-db0e580cd85d437cb37bb2df82254a83-00000-696760720.webp
https://files.tungsten.run/uploads/1fb9ba195644436293525f79b04e1740/output-3695d712ab8b42e48a135e7bbe1aa4c4-00001-696760721.webp
https://files.tungsten.run/uploads/a16b9ffb7c16435d9671be741bd7c843/output-5620e49eb2a346faaba8692cf17fbc33-00002-696760722.webp
Finished in 102.0 seconds
Full prompt: <lora:detailer-xl:1>, breathtaking female human-dragon hybrid, covered in matte scales as skin, close-up of face, striking reptilian eyes, dragon horns, bald, braided ponytail, exudes confidence and power, sunset, rim lighting, cold colors. style of Don Lawrence, style of (Will Murai:1.2), style of (Greg Rutkowski:0.8), Extremely high-resolution details, photographic, realism pushed to extreme, fine texture, incredibly lifelike . award-winning, professional, highly detailed, <lora:EnvyAwesomizeXL01:2.0> Full negative prompt: ugly, deformed, noisy, blurry, distorted, grainy, (cleavage:1.4), (cleavage cutout:1.4), plastic, long neck, asymmetrical eyes, signature, watermark, jpeg artifacts, cropped, 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:35, 3.28s/it] 7%|▋ | 2/30 [00:05<01:08, 2.46s/it] 10%|█ | 3/30 [00:07<01:04, 2.40s/it] 13%|█▎ | 4/30 [00:09<00:59, 2.27s/it] 17%|█▋ | 5/30 [00:11<00:54, 2.17s/it] 20%|██ | 6/30 [00:13<00:49, 2.07s/it] 23%|██▎ | 7/30 [00:15<00:46, 2.04s/it] 27%|██▋ | 8/30 [00:17<00:44, 2.00s/it] 30%|███ | 9/30 [00:19<00:41, 1.97s/it] 33%|███▎ | 10/30 [00:21<00:39, 1.97s/it] 37%|███▋ | 11/30 [00:23<00:37, 1.96s/it] 40%|████ | 12/30 [00:25<00:35, 1.96s/it] 43%|████▎ | 13/30 [00:27<00:33, 1.96s/it] 47%|████▋ | 14/30 [00:28<00:30, 1.89s/it] 50%|█████ | 15/30 [00:30<00:27, 1.86s/it] 53%|█████▎ | 16/30 [00:32<00:25, 1.85s/it] 57%|█████▋ | 17/30 [00:34<00:23, 1.82s/it] 60%|██████ | 18/30 [00:36<00:21, 1.83s/it] 63%|██████▎ | 19/30 [00:37<00:20, 1.82s/it] 67%|██████▋ | 20/30 [00:39<00:18, 1.83s/it] 70%|███████ | 21/30 [00:41<00:16, 1.81s/it] 73%|███████▎ | 22/30 [00:43<00:14, 1.83s/it] 77%|███████▋ | 23/30 [00:45<00:12, 1.79s/it] 80%|████████ | 24/30 [00:46<00:10, 1.80s/it] 83%|████████▎ | 25/30 [00:48<00:08, 1.76s/it] 87%|████████▋ | 26/30 [00:50<00:07, 1.76s/it] 90%|█████████ | 27/30 [00:51<00:05, 1.69s/it] 93%|█████████▎| 28/30 [00:53<00:03, 1.63s/it] 97%|█████████▋| 29/30 [00:54<00:01, 1.43s/it] 100%|██████████| 30/30 [00:55<00:00, 1.25s/it] 100%|██████████| 30/30 [00:55<00:00, 1.84s/it] Decoding latents in cuda:0... done in 1.68s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 120.7ms Speed: 2.0ms preprocess, 120.7ms inference, 13.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:10, 1.10it/s] 15%|█▌ | 2/13 [00:01<00:09, 1.18it/s] 23%|██▎ | 3/13 [00:02<00:08, 1.21it/s] 31%|███ | 4/13 [00:03<00:07, 1.24it/s] 38%|███▊ | 5/13 [00:04<00:06, 1.24it/s] 46%|████▌ | 6/13 [00:04<00:05, 1.27it/s] 54%|█████▍ | 7/13 [00:05<00:04, 1.26it/s] 62%|██████▏ | 8/13 [00:06<00:03, 1.29it/s] 69%|██████▉ | 9/13 [00:07<00:03, 1.29it/s] 77%|███████▋ | 10/13 [00:07<00:02, 1.33it/s] 85%|████████▍ | 11/13 [00:08<00:01, 1.37it/s] 92%|█████████▏| 12/13 [00:09<00:00, 1.51it/s] 100%|██████████| 13/13 [00:09<00:00, 1.66it/s] 100%|██████████| 13/13 [00:09<00:00, 1.37it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.1ms Speed: 1.7ms preprocess, 6.1ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:09, 1.23it/s] 15%|█▌ | 2/13 [00:01<00:08, 1.24it/s] 23%|██▎ | 3/13 [00:02<00:08, 1.24it/s] 31%|███ | 4/13 [00:03<00:07, 1.25it/s] 38%|███▊ | 5/13 [00:04<00:06, 1.24it/s] 46%|████▌ | 6/13 [00:04<00:05, 1.26it/s] 54%|█████▍ | 7/13 [00:05<00:04, 1.25it/s] 62%|██████▏ | 8/13 [00:06<00:03, 1.28it/s] 69%|██████▉ | 9/13 [00:07<00:03, 1.27it/s] 77%|███████▋ | 10/13 [00:07<00:02, 1.31it/s] 85%|████████▍ | 11/13 [00:08<00:01, 1.34it/s] 92%|█████████▏| 12/13 [00:09<00:00, 1.47it/s] 100%|██████████| 13/13 [00:09<00:00, 1.62it/s] 100%|██████████| 13/13 [00:09<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 6.6ms Speed: 1.8ms preprocess, 6.6ms inference, 1.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/13 [00:00<?, ?it/s] 8%|▊ | 1/13 [00:00<00:09, 1.23it/s] 15%|█▌ | 2/13 [00:01<00:08, 1.25it/s] 23%|██▎ | 3/13 [00:02<00:08, 1.24it/s] 31%|███ | 4/13 [00:03<00:07, 1.26it/s] 38%|███▊ | 5/13 [00:04<00:06, 1.24it/s] 46%|████▌ | 6/13 [00:04<00:05, 1.27it/s] 54%|█████▍ | 7/13 [00:05<00:04, 1.26it/s] 62%|██████▏ | 8/13 [00:06<00:03, 1.28it/s] 69%|██████▉ | 9/13 [00:07<00:03, 1.28it/s] 77%|███████▋ | 10/13 [00:07<00:02, 1.32it/s] 85%|████████▍ | 11/13 [00:08<00:01, 1.35it/s] 92%|█████████▏| 12/13 [00:09<00:00, 1.37it/s] 100%|██████████| 13/13 [00:09<00:00, 1.40it/s] 100%|██████████| 13/13 [00:09<00:00, 1.31it/s] Decoding latents in cuda:0... done in 0.54s Move latents to cpu... done in 0.0s Uploading files.. Finished.