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Clockwork with Orochi SDXL
orochi-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 28
359
Input
prompt
Specify things to see in the output
Illustration of a majestic automaton goddess standing tall with intricate clockwork mechanisms visible beneath her translucent skin, adorned with delicate gears and glowing with ethereal light, surrounded by a mystical aura of technological marvel and divine power.
negative_prompt
Specify things to not see in the output
(mask), (heart), (stains), censorship, censored, undersaturated, blur, blurry, nsfw, big head, 3 arms, maps on the sweater,
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
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.
4294967293
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
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/77e27b9fe82c4ea187db55b8cf6fc27c/00000-4294967293.webp
https://files.tungsten.run/uploads/32880b3de0e547f2857b034afc5d63da/00001-4294967294.webp
https://files.tungsten.run/uploads/1929397d6c964ea9a144ed463e40aaae/00002-4294967295.webp
Finished in 91.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Illustration of a majestic automaton goddess standing tall with intricate clockwork mechanisms visible beneath her translucent skin, adorned with delicate gears and glowing with ethereal light, surrounded by a mystical aura of technological marvel and divine power. Full negative prompt: (mask), (heart), (stains), censorship, censored, undersaturated, blur, blurry, nsfw, big head, 3 arms, maps on the sweater, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:41, 2.20s/it] 10%|█ | 2/20 [00:04<00:45, 2.52s/it] 15%|█▌ | 3/20 [00:07<00:46, 2.72s/it] 20%|██ | 4/20 [00:10<00:44, 2.81s/it] 25%|██▌ | 5/20 [00:13<00:42, 2.81s/it] 30%|███ | 6/20 [00:16<00:40, 2.90s/it] 35%|███▌ | 7/20 [00:19<00:37, 2.91s/it] 40%|████ | 8/20 [00:22<00:34, 2.87s/it] 45%|████▌ | 9/20 [00:25<00:32, 2.92s/it] 50%|█████ | 10/20 [00:28<00:29, 2.90s/it] 55%|█████▌ | 11/20 [00:31<00:25, 2.84s/it] 60%|██████ | 12/20 [00:33<00:22, 2.81s/it] 65%|██████▌ | 13/20 [00:36<00:19, 2.82s/it] 70%|███████ | 14/20 [00:39<00:16, 2.76s/it] 75%|███████▌ | 15/20 [00:42<00:13, 2.76s/it] 80%|████████ | 16/20 [00:44<00:10, 2.71s/it] 85%|████████▌ | 17/20 [00:47<00:08, 2.67s/it] 90%|█████████ | 18/20 [00:49<00:05, 2.61s/it] 95%|█████████▌| 19/20 [00:51<00:02, 2.36s/it] 100%|██████████| 20/20 [00:52<00:00, 2.06s/it] 100%|██████████| 20/20 [00:52<00:00, 2.64s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.2ms preprocess, 8.2ms inference, 16.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:08, 1.12it/s] 20%|██ | 2/10 [00:01<00:06, 1.17it/s] 30%|███ | 3/10 [00:02<00:06, 1.15it/s] 40%|████ | 4/10 [00:03<00:05, 1.16it/s] 50%|█████ | 5/10 [00:04<00:04, 1.16it/s] 60%|██████ | 6/10 [00:05<00:03, 1.19it/s] 70%|███████ | 7/10 [00:05<00:02, 1.22it/s] 80%|████████ | 8/10 [00:06<00:01, 1.25it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.40it/s] 100%|██████████| 10/10 [00:07<00:00, 1.63it/s] 100%|██████████| 10/10 [00:07<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.24it/s] 20%|██ | 2/10 [00:01<00:06, 1.23it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:04, 1.22it/s] 50%|█████ | 5/10 [00:04<00:04, 1.21it/s] 60%|██████ | 6/10 [00:04<00:03, 1.23it/s] 70%|███████ | 7/10 [00:05<00:02, 1.25it/s] 80%|████████ | 8/10 [00:06<00:01, 1.27it/s] 90%|█████████ | 9/10 [00:06<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.65it/s] 100%|██████████| 10/10 [00:07<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.22it/s] 20%|██ | 2/10 [00:01<00:06, 1.20it/s] 30%|███ | 3/10 [00:02<00:05, 1.18it/s] 40%|████ | 4/10 [00:03<00:04, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.22it/s] 80%|████████ | 8/10 [00:06<00:01, 1.25it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.40it/s] 100%|██████████| 10/10 [00:07<00:00, 1.63it/s] 100%|██████████| 10/10 [00:07<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
Illustration of a majestic automaton goddess standing tall with intricate clockwork mechanisms visible beneath her translucent skin, adorned with delicate gears and glowing with ethereal light, surrounded by a mystical aura of technological marvel and divine power.
negative_prompt
Specify things to not see in the output
(mask), (heart), (stains), censorship, censored, undersaturated, blur, blurry, nsfw, big head, 3 arms, maps on the sweater,
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
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.
4294967293
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
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/77e27b9fe82c4ea187db55b8cf6fc27c/00000-4294967293.webp
https://files.tungsten.run/uploads/32880b3de0e547f2857b034afc5d63da/00001-4294967294.webp
https://files.tungsten.run/uploads/1929397d6c964ea9a144ed463e40aaae/00002-4294967295.webp
Finished in 91.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Illustration of a majestic automaton goddess standing tall with intricate clockwork mechanisms visible beneath her translucent skin, adorned with delicate gears and glowing with ethereal light, surrounded by a mystical aura of technological marvel and divine power. Full negative prompt: (mask), (heart), (stains), censorship, censored, undersaturated, blur, blurry, nsfw, big head, 3 arms, maps on the sweater, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:41, 2.20s/it] 10%|█ | 2/20 [00:04<00:45, 2.52s/it] 15%|█▌ | 3/20 [00:07<00:46, 2.72s/it] 20%|██ | 4/20 [00:10<00:44, 2.81s/it] 25%|██▌ | 5/20 [00:13<00:42, 2.81s/it] 30%|███ | 6/20 [00:16<00:40, 2.90s/it] 35%|███▌ | 7/20 [00:19<00:37, 2.91s/it] 40%|████ | 8/20 [00:22<00:34, 2.87s/it] 45%|████▌ | 9/20 [00:25<00:32, 2.92s/it] 50%|█████ | 10/20 [00:28<00:29, 2.90s/it] 55%|█████▌ | 11/20 [00:31<00:25, 2.84s/it] 60%|██████ | 12/20 [00:33<00:22, 2.81s/it] 65%|██████▌ | 13/20 [00:36<00:19, 2.82s/it] 70%|███████ | 14/20 [00:39<00:16, 2.76s/it] 75%|███████▌ | 15/20 [00:42<00:13, 2.76s/it] 80%|████████ | 16/20 [00:44<00:10, 2.71s/it] 85%|████████▌ | 17/20 [00:47<00:08, 2.67s/it] 90%|█████████ | 18/20 [00:49<00:05, 2.61s/it] 95%|█████████▌| 19/20 [00:51<00:02, 2.36s/it] 100%|██████████| 20/20 [00:52<00:00, 2.06s/it] 100%|██████████| 20/20 [00:52<00:00, 2.64s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.2ms Speed: 3.2ms preprocess, 8.2ms inference, 16.9ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:08, 1.12it/s] 20%|██ | 2/10 [00:01<00:06, 1.17it/s] 30%|███ | 3/10 [00:02<00:06, 1.15it/s] 40%|████ | 4/10 [00:03<00:05, 1.16it/s] 50%|█████ | 5/10 [00:04<00:04, 1.16it/s] 60%|██████ | 6/10 [00:05<00:03, 1.19it/s] 70%|███████ | 7/10 [00:05<00:02, 1.22it/s] 80%|████████ | 8/10 [00:06<00:01, 1.25it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.40it/s] 100%|██████████| 10/10 [00:07<00:00, 1.63it/s] 100%|██████████| 10/10 [00:07<00:00, 1.32it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.1ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.24it/s] 20%|██ | 2/10 [00:01<00:06, 1.23it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:04, 1.22it/s] 50%|█████ | 5/10 [00:04<00:04, 1.21it/s] 60%|██████ | 6/10 [00:04<00:03, 1.23it/s] 70%|███████ | 7/10 [00:05<00:02, 1.25it/s] 80%|████████ | 8/10 [00:06<00:01, 1.27it/s] 90%|█████████ | 9/10 [00:06<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.65it/s] 100%|██████████| 10/10 [00:07<00:00, 1.36it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.9ms Speed: 3.1ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.22it/s] 20%|██ | 2/10 [00:01<00:06, 1.20it/s] 30%|███ | 3/10 [00:02<00:05, 1.18it/s] 40%|████ | 4/10 [00:03<00:04, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.22it/s] 80%|████████ | 8/10 [00:06<00:01, 1.25it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.40it/s] 100%|██████████| 10/10 [00:07<00:00, 1.63it/s] 100%|██████████| 10/10 [00:07<00:00, 1.34it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.