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Goat Sculptures with HXZMix Sculpture
hxzmix-sculpture:v1.0
evevalentine2017
evevalentine2017
·
Apr 20
4
Input
prompt
Specify things to see in the output
(Marble sculpture), jade, ((goat)), long horns,
negative_prompt
Specify things to not see in the output
nsfw, 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.
4114980665
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/e803fa5014b749a78a83cfea5398ac59/00000-4114980665.webp
https://files.tungsten.run/uploads/249864a1c5ff4421b153afb8df2b07ab/00001-4114980666.webp
https://files.tungsten.run/uploads/270415486e714e9e99163fa589fdee7c/00002-4114980667.webp
https://files.tungsten.run/uploads/c483a90bad924d9e937220b46145ca74/00003-4114980668.webp
Finished in 57.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (Marble sculpture), jade, ((goat)), long horns, Full negative prompt: nsfw, 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 [00:01<00:25, 1.32s/it] 10%|█ | 2/20 [00:03<00:29, 1.65s/it] 15%|█▌ | 3/20 [00:05<00:29, 1.73s/it] 20%|██ | 4/20 [00:07<00:29, 1.86s/it] 25%|██▌ | 5/20 [00:09<00:28, 1.93s/it] 30%|███ | 6/20 [00:11<00:28, 2.03s/it] 35%|███▌ | 7/20 [00:13<00:26, 2.07s/it] 40%|████ | 8/20 [00:15<00:24, 2.02s/it] 45%|████▌ | 9/20 [00:17<00:21, 1.94s/it] 50%|█████ | 10/20 [00:19<00:19, 1.92s/it] 55%|█████▌ | 11/20 [00:20<00:16, 1.86s/it] 60%|██████ | 12/20 [00:22<00:14, 1.81s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.80s/it] 70%|███████ | 14/20 [00:25<00:10, 1.75s/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, 1.64s/it] 90%|█████████ | 18/20 [00:32<00:03, 1.63s/it] 95%|█████████▌| 19/20 [00:33<00:01, 1.44s/it] 100%|██████████| 20/20 [00:33<00:00, 1.20s/it] 100%|██████████| 20/20 [00:33<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.8ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 21.4ms postprocess per image at shape (1, 3, 640, 640)
prompt
Specify things to see in the output
(Marble sculpture), jade, ((goat)), long horns,
negative_prompt
Specify things to not see in the output
nsfw, 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.
4114980665
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/e803fa5014b749a78a83cfea5398ac59/00000-4114980665.webp
https://files.tungsten.run/uploads/249864a1c5ff4421b153afb8df2b07ab/00001-4114980666.webp
https://files.tungsten.run/uploads/270415486e714e9e99163fa589fdee7c/00002-4114980667.webp
https://files.tungsten.run/uploads/c483a90bad924d9e937220b46145ca74/00003-4114980668.webp
Finished in 57.0 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (Marble sculpture), jade, ((goat)), long horns, Full negative prompt: nsfw, 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 [00:01<00:25, 1.32s/it] 10%|█ | 2/20 [00:03<00:29, 1.65s/it] 15%|█▌ | 3/20 [00:05<00:29, 1.73s/it] 20%|██ | 4/20 [00:07<00:29, 1.86s/it] 25%|██▌ | 5/20 [00:09<00:28, 1.93s/it] 30%|███ | 6/20 [00:11<00:28, 2.03s/it] 35%|███▌ | 7/20 [00:13<00:26, 2.07s/it] 40%|████ | 8/20 [00:15<00:24, 2.02s/it] 45%|████▌ | 9/20 [00:17<00:21, 1.94s/it] 50%|█████ | 10/20 [00:19<00:19, 1.92s/it] 55%|█████▌ | 11/20 [00:20<00:16, 1.86s/it] 60%|██████ | 12/20 [00:22<00:14, 1.81s/it] 65%|██████▌ | 13/20 [00:24<00:12, 1.80s/it] 70%|███████ | 14/20 [00:25<00:10, 1.75s/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, 1.64s/it] 90%|█████████ | 18/20 [00:32<00:03, 1.63s/it] 95%|█████████▌| 19/20 [00:33<00:01, 1.44s/it] 100%|██████████| 20/20 [00:33<00:00, 1.20s/it] 100%|██████████| 20/20 [00:33<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.8ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 1 hand, 7.9ms Speed: 2.8ms preprocess, 7.9ms inference, 21.4ms postprocess per image at shape (1, 3, 640, 640)