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Kimono with AutHuman Pony V4 v3.0
AutHuman Pony V4:v3.0
sparks
sparks
·
Jun 20
45
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, source_real, raw, photo, realistic, 1girl, big breasts, solo, black hair, long sleeves, brown eyes, upper body, japanese clothes, kimono, from side, lips, profile, red lips
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
1
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.
4058982664
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5
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/7e82f2e548834fa9a8efad54a88ee5e0/00000-4058982664.webp
https://files.tungsten.run/uploads/04cd006daf034757b3ca654d03093f52/00001-4058982665.webp
https://files.tungsten.run/uploads/92d4e2ab1b284b1895f4cb3405306d38/00002-4058982666.webp
Finished in 74.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, source_real, raw, photo, realistic, 1girl, big breasts, solo, black hair, long sleeves, brown eyes, upper body, japanese clothes, kimono, from side, lips, profile, red lips , <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:43, 1.51s/it] 7%|▋ | 2/30 [00:03<00:42, 1.52s/it] 10%|█ | 3/30 [00:04<00:41, 1.52s/it] 13%|█▎ | 4/30 [00:06<00:39, 1.52s/it] 17%|█▋ | 5/30 [00:07<00:38, 1.52s/it] 20%|██ | 6/30 [00:09<00:36, 1.53s/it] 23%|██▎ | 7/30 [00:10<00:35, 1.53s/it] 27%|██▋ | 8/30 [00:12<00:33, 1.53s/it] 30%|███ | 9/30 [00:13<00:32, 1.53s/it] 33%|███▎ | 10/30 [00:15<00:30, 1.53s/it] 37%|███▋ | 11/30 [00:16<00:29, 1.53s/it] 40%|████ | 12/30 [00:18<00:27, 1.53s/it] 43%|████▎ | 13/30 [00:19<00:26, 1.53s/it] 47%|████▋ | 14/30 [00:21<00:24, 1.53s/it] 50%|█████ | 15/30 [00:22<00:23, 1.53s/it] 53%|█████▎ | 16/30 [00:24<00:21, 1.54s/it] 57%|█████▋ | 17/30 [00:26<00:19, 1.54s/it] 60%|██████ | 18/30 [00:27<00:18, 1.54s/it] 63%|██████▎ | 19/30 [00:29<00:16, 1.54s/it] 67%|██████▋ | 20/30 [00:30<00:15, 1.54s/it] 70%|███████ | 21/30 [00:32<00:13, 1.54s/it] 73%|███████▎ | 22/30 [00:33<00:12, 1.54s/it] 77%|███████▋ | 23/30 [00:35<00:10, 1.54s/it] 80%|████████ | 24/30 [00:36<00:09, 1.54s/it] 83%|████████▎ | 25/30 [00:38<00:07, 1.54s/it] 87%|████████▋ | 26/30 [00:39<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:41<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:42<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:44<00:01, 1.54s/it] 100%|██████████| 30/30 [00:46<00:00, 1.54s/it] 100%|██████████| 30/30 [00:46<00:00, 1.53s/it] Decoding latents in cuda:0... done in 2.81s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, score_6_up, source_real, raw, photo, realistic, 1girl, big breasts, solo, black hair, long sleeves, brown eyes, upper body, japanese clothes, kimono, from side, lips, profile, red lips
negative_prompt
Specify things to not see in the output
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
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
1
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.
4058982664
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
Euler a
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
5
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/7e82f2e548834fa9a8efad54a88ee5e0/00000-4058982664.webp
https://files.tungsten.run/uploads/04cd006daf034757b3ca654d03093f52/00001-4058982665.webp
https://files.tungsten.run/uploads/92d4e2ab1b284b1895f4cb3405306d38/00002-4058982666.webp
Finished in 74.8 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, score_6_up, source_real, raw, photo, realistic, 1girl, big breasts, solo, black hair, long sleeves, brown eyes, upper body, japanese clothes, kimono, from side, lips, profile, red lips , <lora:add-detail-xl:1.0> Full negative prompt: 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:43, 1.51s/it] 7%|▋ | 2/30 [00:03<00:42, 1.52s/it] 10%|█ | 3/30 [00:04<00:41, 1.52s/it] 13%|█▎ | 4/30 [00:06<00:39, 1.52s/it] 17%|█▋ | 5/30 [00:07<00:38, 1.52s/it] 20%|██ | 6/30 [00:09<00:36, 1.53s/it] 23%|██▎ | 7/30 [00:10<00:35, 1.53s/it] 27%|██▋ | 8/30 [00:12<00:33, 1.53s/it] 30%|███ | 9/30 [00:13<00:32, 1.53s/it] 33%|███▎ | 10/30 [00:15<00:30, 1.53s/it] 37%|███▋ | 11/30 [00:16<00:29, 1.53s/it] 40%|████ | 12/30 [00:18<00:27, 1.53s/it] 43%|████▎ | 13/30 [00:19<00:26, 1.53s/it] 47%|████▋ | 14/30 [00:21<00:24, 1.53s/it] 50%|█████ | 15/30 [00:22<00:23, 1.53s/it] 53%|█████▎ | 16/30 [00:24<00:21, 1.54s/it] 57%|█████▋ | 17/30 [00:26<00:19, 1.54s/it] 60%|██████ | 18/30 [00:27<00:18, 1.54s/it] 63%|██████▎ | 19/30 [00:29<00:16, 1.54s/it] 67%|██████▋ | 20/30 [00:30<00:15, 1.54s/it] 70%|███████ | 21/30 [00:32<00:13, 1.54s/it] 73%|███████▎ | 22/30 [00:33<00:12, 1.54s/it] 77%|███████▋ | 23/30 [00:35<00:10, 1.54s/it] 80%|████████ | 24/30 [00:36<00:09, 1.54s/it] 83%|████████▎ | 25/30 [00:38<00:07, 1.54s/it] 87%|████████▋ | 26/30 [00:39<00:06, 1.54s/it] 90%|█████████ | 27/30 [00:41<00:04, 1.54s/it] 93%|█████████▎| 28/30 [00:42<00:03, 1.54s/it] 97%|█████████▋| 29/30 [00:44<00:01, 1.54s/it] 100%|██████████| 30/30 [00:46<00:00, 1.54s/it] 100%|██████████| 30/30 [00:46<00:00, 1.53s/it] Decoding latents in cuda:0... done in 2.81s Move latents to cpu... done in 0.02s