tungsten-logo
Sign In
Cute Kimono with Minima
minima:v3b
evevalentine2017
evevalentine2017
·
Mar 27
241
Input
prompt
Specify things to see in the output
masterpiece, bestquality, detailed floral kimono, purple kimono, outdoors, half updo, happiness
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), bad anatomy, disfigured, kid, child, loli, underage, 3 legs
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.
146053718
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
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.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/03cf5d17bb6d41909efedad51756446b/00000-146053718.webp
https://files.tungsten.run/uploads/973b110fc6ec4711af60ed6f90abd8e2/00001-146053719.webp
https://files.tungsten.run/uploads/8cb94548584b4524b9b7104b311c5a22/00002-146053720.webp
https://files.tungsten.run/uploads/ab6b9ab3d64b429c9b4c658d006dee9c/00003-146053721.webp
Finished in 48.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece, bestquality, detailed floral kimono, purple kimono, outdoors, half updo, happiness Full negative prompt: (worst quality, low quality:1.4), bad anatomy, disfigured, kid, child, loli, underage, 3 legs 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.50it/s] 8%|▊ | 2/25 [00:01<00:15, 1.48it/s] 12%|█▏ | 3/25 [00:02<00:15, 1.45it/s] 16%|█▌ | 4/25 [00:02<00:14, 1.47it/s] 20%|██ | 5/25 [00:03<00:13, 1.47it/s] 24%|██▍ | 6/25 [00:04<00:12, 1.47it/s] 28%|██▊ | 7/25 [00:04<00:12, 1.47it/s] 32%|███▏ | 8/25 [00:05<00:11, 1.48it/s] 36%|███▌ | 9/25 [00:06<00:11, 1.45it/s] 40%|████ | 10/25 [00:06<00:10, 1.46it/s] 44%|████▍ | 11/25 [00:07<00:09, 1.46it/s] 48%|████▊ | 12/25 [00:08<00:08, 1.46it/s] 52%|█████▏ | 13/25 [00:08<00:08, 1.47it/s] 56%|█████▌ | 14/25 [00:09<00:07, 1.46it/s] 60%|██████ | 15/25 [00:10<00:06, 1.46it/s] 64%|██████▍ | 16/25 [00:10<00:06, 1.47it/s] 68%|██████▊ | 17/25 [00:11<00:05, 1.47it/s] 72%|███████▏ | 18/25 [00:12<00:04, 1.47it/s] 76%|███████▌ | 19/25 [00:12<00:04, 1.45it/s] 80%|████████ | 20/25 [00:13<00:03, 1.46it/s] 84%|████████▍ | 21/25 [00:14<00:02, 1.44it/s] 88%|████████▊ | 22/25 [00:15<00:02, 1.44it/s] 92%|█████████▏| 23/25 [00:15<00:01, 1.44it/s] 96%|█████████▌| 24/25 [00:16<00:00, 1.44it/s] 100%|██████████| 25/25 [00:17<00:00, 1.46it/s] 100%|██████████| 25/25 [00:17<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
masterpiece, bestquality, detailed floral kimono, purple kimono, outdoors, half updo, happiness
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), bad anatomy, disfigured, kid, child, loli, underage, 3 legs
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.
146053718
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
25
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
kl-f8-anime2_fp16.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/03cf5d17bb6d41909efedad51756446b/00000-146053718.webp
https://files.tungsten.run/uploads/973b110fc6ec4711af60ed6f90abd8e2/00001-146053719.webp
https://files.tungsten.run/uploads/8cb94548584b4524b9b7104b311c5a22/00002-146053720.webp
https://files.tungsten.run/uploads/ab6b9ab3d64b429c9b4c658d006dee9c/00003-146053721.webp
Finished in 48.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: masterpiece, bestquality, detailed floral kimono, purple kimono, outdoors, half updo, happiness Full negative prompt: (worst quality, low quality:1.4), bad anatomy, disfigured, kid, child, loli, underage, 3 legs 0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:15, 1.50it/s] 8%|▊ | 2/25 [00:01<00:15, 1.48it/s] 12%|█▏ | 3/25 [00:02<00:15, 1.45it/s] 16%|█▌ | 4/25 [00:02<00:14, 1.47it/s] 20%|██ | 5/25 [00:03<00:13, 1.47it/s] 24%|██▍ | 6/25 [00:04<00:12, 1.47it/s] 28%|██▊ | 7/25 [00:04<00:12, 1.47it/s] 32%|███▏ | 8/25 [00:05<00:11, 1.48it/s] 36%|███▌ | 9/25 [00:06<00:11, 1.45it/s] 40%|████ | 10/25 [00:06<00:10, 1.46it/s] 44%|████▍ | 11/25 [00:07<00:09, 1.46it/s] 48%|████▊ | 12/25 [00:08<00:08, 1.46it/s] 52%|█████▏ | 13/25 [00:08<00:08, 1.47it/s] 56%|█████▌ | 14/25 [00:09<00:07, 1.46it/s] 60%|██████ | 15/25 [00:10<00:06, 1.46it/s] 64%|██████▍ | 16/25 [00:10<00:06, 1.47it/s] 68%|██████▊ | 17/25 [00:11<00:05, 1.47it/s] 72%|███████▏ | 18/25 [00:12<00:04, 1.47it/s] 76%|███████▌ | 19/25 [00:12<00:04, 1.45it/s] 80%|████████ | 20/25 [00:13<00:03, 1.46it/s] 84%|████████▍ | 21/25 [00:14<00:02, 1.44it/s] 88%|████████▊ | 22/25 [00:15<00:02, 1.44it/s] 92%|█████████▏| 23/25 [00:15<00:01, 1.44it/s] 96%|█████████▌| 24/25 [00:16<00:00, 1.44it/s] 100%|██████████| 25/25 [00:17<00:00, 1.46it/s] 100%|██████████| 25/25 [00:17<00:00, 1.46it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s