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Roman Emperor Bust with HXZMix Sculpture
hxzmix-sculpture:v1.0
evevalentine2017
evevalentine2017
·
Apr 20
9
Input
prompt
Specify things to see in the output
(Marble sculpture), crystal sculpture, grey sculpture, (marble) of, a roman emperor, (realistic), (detailed facial features), (elegant pose), (smooth texture), (musical icon), (fierce expression), in the garden of a museum,
negative_prompt
Specify things to not see in the output
logo, text, ng_deepnegative_v1_75t, rev2-badprompt, verybadimagenegative_v1.3, mutated hands and fingers, poorly drawn face, extra limb, missing limb, disconnected limbs, malformed hands, ugly,
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
985763229
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
20
cfg_scale
Scale for classifier-free guidance
7
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)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
rev2-badprompt.safetensors
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/63c249d9235847a19eab5fcb2c952551/00000-985763229.webp
https://files.tungsten.run/uploads/67f61bc992ab4b3c87ca8698a7a01398/00001-985763230.webp
https://files.tungsten.run/uploads/800d6f5961b14e1f9b8ae303bd4be86f/00002-985763231.webp
https://files.tungsten.run/uploads/4a3c076e672b44fd8796562fffcc7ec2/00003-985763232.webp
Finished in 70.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (Marble sculpture), crystal sculpture, grey sculpture, (marble) of, a roman emperor, (realistic), (detailed facial features), (elegant pose), (smooth texture), (musical icon), (fierce expression), in the garden of a museum, Full negative prompt: logo, text, ng_deepnegative_v1_75t, rev2-badprompt, verybadimagenegative_v1.3, mutated hands and fingers, poorly drawn face, extra limb, missing limb, disconnected limbs, malformed hands, ugly, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:40, 2.12s/it] 10%|█ | 2/20 [00:04<00:38, 2.12s/it] 15%|█▌ | 3/20 [00:06<00:34, 2.05s/it] 20%|██ | 4/20 [00:08<00:32, 2.05s/it] 25%|██▌ | 5/20 [00:10<00:29, 1.97s/it] 30%|███ | 6/20 [00:11<00:27, 1.95s/it] 35%|███▌ | 7/20 [00:13<00:24, 1.92s/it] 40%|████ | 8/20 [00:15<00:22, 1.85s/it] 45%|████▌ | 9/20 [00:17<00:20, 1.83s/it] 50%|█████ | 10/20 [00:19<00:18, 1.85s/it] 55%|█████▌ | 11/20 [00:20<00:16, 1.81s/it] 60%|██████ | 12/20 [00:22<00:14, 1.77s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.79s/it] 70%|███████ | 14/20 [00:26<00:10, 1.74s/it] 75%|███████▌ | 15/20 [00:27<00:08, 1.73s/it] 80%|████████ | 16/20 [00:29<00:06, 1.68s/it] 85%|████████▌ | 17/20 [00:30<00:04, 1.65s/it] 90%|█████████ | 18/20 [00:32<00:03, 1.62s/it] 95%|█████████▌| 19/20 [00:33<00:01, 1.43s/it] 100%|██████████| 20/20 [00:34<00:00, 1.19s/it] 100%|██████████| 20/20 [00:34<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
(Marble sculpture), crystal sculpture, grey sculpture, (marble) of, a roman emperor, (realistic), (detailed facial features), (elegant pose), (smooth texture), (musical icon), (fierce expression), in the garden of a museum,
negative_prompt
Specify things to not see in the output
logo, text, ng_deepnegative_v1_75t, rev2-badprompt, verybadimagenegative_v1.3, mutated hands and fingers, poorly drawn face, extra limb, missing limb, disconnected limbs, malformed hands, ugly,
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
985763229
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
20
cfg_scale
Scale for classifier-free guidance
7
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)
ng_deepnegative_v1_75t.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
verybadimagenegative_v1.3.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
rev2-badprompt.safetensors
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/63c249d9235847a19eab5fcb2c952551/00000-985763229.webp
https://files.tungsten.run/uploads/67f61bc992ab4b3c87ca8698a7a01398/00001-985763230.webp
https://files.tungsten.run/uploads/800d6f5961b14e1f9b8ae303bd4be86f/00002-985763231.webp
https://files.tungsten.run/uploads/4a3c076e672b44fd8796562fffcc7ec2/00003-985763232.webp
Finished in 70.4 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (Marble sculpture), crystal sculpture, grey sculpture, (marble) of, a roman emperor, (realistic), (detailed facial features), (elegant pose), (smooth texture), (musical icon), (fierce expression), in the garden of a museum, Full negative prompt: logo, text, ng_deepnegative_v1_75t, rev2-badprompt, verybadimagenegative_v1.3, mutated hands and fingers, poorly drawn face, extra limb, missing limb, disconnected limbs, malformed hands, ugly, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:40, 2.12s/it] 10%|█ | 2/20 [00:04<00:38, 2.12s/it] 15%|█▌ | 3/20 [00:06<00:34, 2.05s/it] 20%|██ | 4/20 [00:08<00:32, 2.05s/it] 25%|██▌ | 5/20 [00:10<00:29, 1.97s/it] 30%|███ | 6/20 [00:11<00:27, 1.95s/it] 35%|███▌ | 7/20 [00:13<00:24, 1.92s/it] 40%|████ | 8/20 [00:15<00:22, 1.85s/it] 45%|████▌ | 9/20 [00:17<00:20, 1.83s/it] 50%|█████ | 10/20 [00:19<00:18, 1.85s/it] 55%|█████▌ | 11/20 [00:20<00:16, 1.81s/it] 60%|██████ | 12/20 [00:22<00:14, 1.77s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.79s/it] 70%|███████ | 14/20 [00:26<00:10, 1.74s/it] 75%|███████▌ | 15/20 [00:27<00:08, 1.73s/it] 80%|████████ | 16/20 [00:29<00:06, 1.68s/it] 85%|████████▌ | 17/20 [00:30<00:04, 1.65s/it] 90%|█████████ | 18/20 [00:32<00:03, 1.62s/it] 95%|█████████▌| 19/20 [00:33<00:01, 1.43s/it] 100%|██████████| 20/20 [00:34<00:00, 1.19s/it] 100%|██████████| 20/20 [00:34<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.02s