Copper Sculpture with HXZMix Sculpture
Input
prompt
Specify things to see in the output
copper sculpture, forging art of figurative expressionist sculpture, (dog sculptural:1.2), 1 dog, solo, copper, matte, copper oxide, keep forging marks, forging texture, fading, (intricate details:0.8), metal art, Sharp focus, centered composition
negative_prompt
Specify things to not see in the output
close up, focus on face, zoom in, 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.
354906259
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)
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/da8f6a3f492849ecbd87f736145abc22/00000-354906259.webp
https://files.tungsten.run/uploads/50fd2ba93cd246a5b31984d8cd358ede/00001-354906260.webp
https://files.tungsten.run/uploads/f0f1b30901e8451faba29cc03264597a/00002-354906261.webp
https://files.tungsten.run/uploads/f55da904866b44ff8493d1b7d7cc884e/00003-354906262.webp
Finished in 52.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: copper sculpture, forging art of figurative expressionist sculpture, (dog sculptural:1.2), 1 dog, solo, copper, matte, copper oxide, keep forging marks, forging texture, fading, (intricate details:0.8), metal art, Sharp focus, centered composition Full negative prompt: close up, focus on face, zoom in, 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<00:24, 1.29s/it] 10%|█ | 2/20 [00:03<00:29, 1.65s/it] 15%|█▌ | 3/20 [00:05<00:29, 1.75s/it] 20%|██ | 4/20 [00:07<00:29, 1.85s/it] 25%|██▌ | 5/20 [00:08<00:27, 1.86s/it] 30%|███ | 6/20 [00:10<00:26, 1.92s/it] 35%|███▌ | 7/20 [00:12<00:24, 1.89s/it] 40%|████ | 8/20 [00:14<00:22, 1.84s/it] 45%|████▌ | 9/20 [00:16<00:20, 1.82s/it] 50%|█████ | 10/20 [00:18<00:18, 1.84s/it] 55%|█████▌ | 11/20 [00:19<00:16, 1.81s/it] 60%|██████ | 12/20 [00:21<00:14, 1.78s/it] 65%|██████▌ | 13/20 [00:23<00:12, 1.78s/it] 70%|███████ | 14/20 [00:25<00:10, 1.74s/it] 75%|███████▌ | 15/20 [00:26<00:08, 1.74s/it] 80%|████████ | 16/20 [00:28<00:06, 1.69s/it] 85%|████████▌ | 17/20 [00:29<00:04, 1.66s/it] 90%|█████████ | 18/20 [00:31<00:03, 1.64s/it] 95%|█████████▌| 19/20 [00:32<00:01, 1.44s/it] 100%|██████████| 20/20 [00:33<00:00, 1.20s/it] 100%|██████████| 20/20 [00:33<00:00, 1.66s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.5ms preprocess, 7.8ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.80it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 2.23it/s] 40%|████ | 4/10 [00:01<00:02, 2.37it/s] 50%|█████ | 5/10 [00:02<00:02, 2.39it/s] 60%|██████ | 6/10 [00:02<00:01, 2.49it/s] 70%|███████ | 7/10 [00:02<00:01, 2.54it/s] 80%|████████ | 8/10 [00:03<00:00, 2.58it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.94it/s] 100%|██████████| 10/10 [00:03<00:00, 3.59it/s] 100%|██████████| 10/10 [00:03<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s
prompt
Specify things to see in the output
copper sculpture, forging art of figurative expressionist sculpture, (dog sculptural:1.2), 1 dog, solo, copper, matte, copper oxide, keep forging marks, forging texture, fading, (intricate details:0.8), metal art, Sharp focus, centered composition
negative_prompt
Specify things to not see in the output
close up, focus on face, zoom in, 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.
354906259
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)
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/da8f6a3f492849ecbd87f736145abc22/00000-354906259.webp
https://files.tungsten.run/uploads/50fd2ba93cd246a5b31984d8cd358ede/00001-354906260.webp
https://files.tungsten.run/uploads/f0f1b30901e8451faba29cc03264597a/00002-354906261.webp
https://files.tungsten.run/uploads/f55da904866b44ff8493d1b7d7cc884e/00003-354906262.webp
Finished in 52.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: copper sculpture, forging art of figurative expressionist sculpture, (dog sculptural:1.2), 1 dog, solo, copper, matte, copper oxide, keep forging marks, forging texture, fading, (intricate details:0.8), metal art, Sharp focus, centered composition Full negative prompt: close up, focus on face, zoom in, 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<00:24, 1.29s/it] 10%|█ | 2/20 [00:03<00:29, 1.65s/it] 15%|█▌ | 3/20 [00:05<00:29, 1.75s/it] 20%|██ | 4/20 [00:07<00:29, 1.85s/it] 25%|██▌ | 5/20 [00:08<00:27, 1.86s/it] 30%|███ | 6/20 [00:10<00:26, 1.92s/it] 35%|███▌ | 7/20 [00:12<00:24, 1.89s/it] 40%|████ | 8/20 [00:14<00:22, 1.84s/it] 45%|████▌ | 9/20 [00:16<00:20, 1.82s/it] 50%|█████ | 10/20 [00:18<00:18, 1.84s/it] 55%|█████▌ | 11/20 [00:19<00:16, 1.81s/it] 60%|██████ | 12/20 [00:21<00:14, 1.78s/it] 65%|██████▌ | 13/20 [00:23<00:12, 1.78s/it] 70%|███████ | 14/20 [00:25<00:10, 1.74s/it] 75%|███████▌ | 15/20 [00:26<00:08, 1.74s/it] 80%|████████ | 16/20 [00:28<00:06, 1.69s/it] 85%|████████▌ | 17/20 [00:29<00:04, 1.66s/it] 90%|█████████ | 18/20 [00:31<00:03, 1.64s/it] 95%|█████████▌| 19/20 [00:32<00:01, 1.44s/it] 100%|██████████| 20/20 [00:33<00:00, 1.20s/it] 100%|██████████| 20/20 [00:33<00:00, 1.66s/it] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 3.5ms preprocess, 7.8ms inference, 24.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:05, 1.80it/s] 20%|██ | 2/10 [00:00<00:03, 2.13it/s] 30%|███ | 3/10 [00:01<00:03, 2.23it/s] 40%|████ | 4/10 [00:01<00:02, 2.37it/s] 50%|█████ | 5/10 [00:02<00:02, 2.39it/s] 60%|██████ | 6/10 [00:02<00:01, 2.49it/s] 70%|███████ | 7/10 [00:02<00:01, 2.54it/s] 80%|████████ | 8/10 [00:03<00:00, 2.58it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.94it/s] 100%|██████████| 10/10 [00:03<00:00, 3.59it/s] 100%|██████████| 10/10 [00:03<00:00, 2.72it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s