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Cute Red Eyes with JellyMix XL
jellymix-xl:v1.0
evevalentine2017
evevalentine2017
·
Apr 3
124
Input
prompt
Specify things to see in the output
(realistic proportion), (1 girl), (wild pose), ((masterpiece)), (8k wallpaper), HDR, ((extremely detailed face)), amazing cinematic, 1girl, evil, menacing, glowing gradient eyes, yandere, holding face, red gold-trimmed kimono, o-ring halterneck, hair ornaments, well-drawn hands, fingers, bare hand, thumbs, mole under both eyes, red string, flower tattoo, neck bell, red fox mask on head, butterfly-shaped pupils, brown gradient hair, ominous red lighting, scary, grinning, spider lily flowers, ((best quality)), illustration, (fluttered hair), (extremely detailed castle), lens flare, summer, close-up anime,
negative_prompt
Specify things to not see in the output
bad structures, bad clothes, watermark, bad ratio, bad toe, bad finger, bad foot, clone, big breasts, giant, long neck, extra finger, mutated finger, duplicate, bad hands, wrong limb, extra limb, low res, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, penis, extra hand, bad toes, bad fingers, ugly, (incorrect hands), (incorrect fingers)
num_outputs
Number of output images
3
width
Output image width
768
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.
1253877870
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 Heun Karras
samping_steps
Number of denoising steps
60
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/66c53d4c29644bc4ae0235fb5a3b4473/00000-1253877870.webp
https://files.tungsten.run/uploads/2aaa48afc996484983b453bad7de9431/00001-1253877871.webp
https://files.tungsten.run/uploads/8ec275b05d6b467887b40b77ef66d716/00002-1253877872.webp
Finished in 170.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (realistic proportion), (1 girl), (wild pose), ((masterpiece)), (8k wallpaper), HDR, ((extremely detailed face)), amazing cinematic, 1girl, evil, menacing, glowing gradient eyes, yandere, holding face, red gold-trimmed kimono, o-ring halterneck, hair ornaments, well-drawn hands, fingers, bare hand, thumbs, mole under both eyes, red string, flower tattoo, neck bell, red fox mask on head, butterfly-shaped pupils, brown gradient hair, ominous red lighting, scary, grinning, spider lily flowers, ((best quality)), illustration, (fluttered hair), (extremely detailed castle), lens flare, summer, close-up anime, Full negative prompt: bad structures, bad clothes, watermark, bad ratio, bad toe, bad finger, bad foot, clone, big breasts, giant, long neck, extra finger, mutated finger, duplicate, bad hands, wrong limb, extra limb, low res, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, penis, extra hand, bad toes, bad fingers, ugly, (incorrect hands), (incorrect fingers) 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:28, 1.51s/it] 3%|▎ | 2/60 [00:03<01:46, 1.84s/it] 5%|▌ | 3/60 [00:05<01:45, 1.85s/it] 7%|▋ | 4/60 [00:07<01:47, 1.92s/it] 8%|▊ | 5/60 [00:09<01:46, 1.94s/it] 10%|█ | 6/60 [00:11<01:47, 2.00s/it] 12%|█▏ | 7/60 [00:13<01:45, 2.00s/it] 13%|█▎ | 8/60 [00:15<01:40, 1.93s/it] 15%|█▌ | 9/60 [00:17<01:37, 1.91s/it] 17%|█▋ | 10/60 [00:19<01:37, 1.94s/it] 18%|█▊ | 11/60 [00:21<01:35, 1.94s/it] 20%|██ | 12/60 [00:23<01:34, 1.96s/it] 22%|██▏ | 13/60 [00:25<01:33, 1.98s/it] 23%|██▎ | 14/60 [00:27<01:30, 1.98s/it] 25%|██▌ | 15/60 [00:29<01:28, 1.96s/it] 27%|██▋ | 16/60 [00:31<01:27, 1.98s/it] 28%|██▊ | 17/60 [00:33<01:25, 1.98s/it] 30%|███ | 18/60 [00:35<01:24, 2.00s/it] 32%|███▏ | 19/60 [00:37<01:21, 1.99s/it] 33%|███▎ | 20/60 [00:39<01:19, 2.00s/it] 35%|███▌ | 21/60 [00:40<01:16, 1.96s/it] 37%|███▋ | 22/60 [00:43<01:16, 2.02s/it] 38%|███▊ | 23/60 [00:44<01:12, 1.96s/it] 40%|████ | 24/60 [00:46<01:10, 1.96s/it] 42%|████▏ | 25/60 [00:48<01:07, 1.94s/it] 43%|████▎ | 26/60 [00:50<01:06, 1.96s/it] 45%|████▌ | 27/60 [00:52<01:04, 1.96s/it] 47%|████▋ | 28/60 [00:54<01:00, 1.88s/it] 48%|████▊ | 29/60 [00:56<00:56, 1.84s/it] 50%|█████ | 30/60 [00:58<00:55, 1.85s/it] 52%|█████▏ | 31/60 [01:00<00:54, 1.87s/it] 53%|█████▎ | 32/60 [01:01<00:51, 1.82s/it] 55%|█████▌ | 33/60 [01:03<00:50, 1.88s/it] 57%|█████▋ | 34/60 [01:05<00:48, 1.86s/it] 58%|█████▊ | 35/60 [01:07<00:46, 1.85s/it] 60%|██████ | 36/60 [01:09<00:45, 1.90s/it] 62%|██████▏ | 37/60 [01:11<00:43, 1.88s/it] 63%|██████▎ | 38/60 [01:12<00:40, 1.83s/it] 65%|██████▌ | 39/60 [01:14<00:39, 1.90s/it] 67%|██████▋ | 40/60 [01:16<00:37, 1.89s/it] 68%|██████▊ | 41/60 [01:18<00:35, 1.87s/it] 70%|███████ | 42/60 [01:20<00:32, 1.82s/it] 72%|███████▏ | 43/60 [01:22<00:30, 1.80s/it] 73%|███████▎ | 44/60 [01:23<00:27, 1.73s/it] 75%|███████▌ | 45/60 [01:25<00:25, 1.68s/it] 77%|███████▋ | 46/60 [01:27<00:24, 1.72s/it] 78%|███████▊ | 47/60 [01:28<00:22, 1.71s/it] 80%|████████ | 48/60 [01:30<00:20, 1.71s/it] 82%|████████▏ | 49/60 [01:32<00:18, 1.71s/it] 83%|████████▎ | 50/60 [01:33<00:17, 1.70s/it] 85%|████████▌ | 51/60 [01:35<00:15, 1.76s/it] 87%|████████▋ | 52/60 [01:37<00:13, 1.67s/it] 88%|████████▊ | 53/60 [01:39<00:11, 1.70s/it] 90%|█████████ | 54/60 [01:40<00:09, 1.65s/it] 92%|█████████▏| 55/60 [01:42<00:08, 1.68s/it] 93%|█████████▎| 56/60 [01:43<00:06, 1.67s/it] 95%|█████████▌| 57/60 [01:45<00:05, 1.74s/it] 97%|█████████▋| 58/60 [01:47<00:03, 1.66s/it] 98%|█████████▊| 59/60 [01:48<00:01, 1.49s/it] 100%|██████████| 60/60 [01:49<00:00, 1.32s/it] 100%|██████████| 60/60 [01:49<00:00, 1.82s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 124.5ms Speed: 2.0ms preprocess, 124.5ms inference, 15.2ms postprocess per image at shape (1, 3, 640, 480)
prompt
Specify things to see in the output
(realistic proportion), (1 girl), (wild pose), ((masterpiece)), (8k wallpaper), HDR, ((extremely detailed face)), amazing cinematic, 1girl, evil, menacing, glowing gradient eyes, yandere, holding face, red gold-trimmed kimono, o-ring halterneck, hair ornaments, well-drawn hands, fingers, bare hand, thumbs, mole under both eyes, red string, flower tattoo, neck bell, red fox mask on head, butterfly-shaped pupils, brown gradient hair, ominous red lighting, scary, grinning, spider lily flowers, ((best quality)), illustration, (fluttered hair), (extremely detailed castle), lens flare, summer, close-up anime,
negative_prompt
Specify things to not see in the output
bad structures, bad clothes, watermark, bad ratio, bad toe, bad finger, bad foot, clone, big breasts, giant, long neck, extra finger, mutated finger, duplicate, bad hands, wrong limb, extra limb, low res, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, penis, extra hand, bad toes, bad fingers, ugly, (incorrect hands), (incorrect fingers)
num_outputs
Number of output images
3
width
Output image width
768
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.
1253877870
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 Heun Karras
samping_steps
Number of denoising steps
60
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/66c53d4c29644bc4ae0235fb5a3b4473/00000-1253877870.webp
https://files.tungsten.run/uploads/2aaa48afc996484983b453bad7de9431/00001-1253877871.webp
https://files.tungsten.run/uploads/8ec275b05d6b467887b40b77ef66d716/00002-1253877872.webp
Finished in 170.2 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: (realistic proportion), (1 girl), (wild pose), ((masterpiece)), (8k wallpaper), HDR, ((extremely detailed face)), amazing cinematic, 1girl, evil, menacing, glowing gradient eyes, yandere, holding face, red gold-trimmed kimono, o-ring halterneck, hair ornaments, well-drawn hands, fingers, bare hand, thumbs, mole under both eyes, red string, flower tattoo, neck bell, red fox mask on head, butterfly-shaped pupils, brown gradient hair, ominous red lighting, scary, grinning, spider lily flowers, ((best quality)), illustration, (fluttered hair), (extremely detailed castle), lens flare, summer, close-up anime, Full negative prompt: bad structures, bad clothes, watermark, bad ratio, bad toe, bad finger, bad foot, clone, big breasts, giant, long neck, extra finger, mutated finger, duplicate, bad hands, wrong limb, extra limb, low res, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, penis, extra hand, bad toes, bad fingers, ugly, (incorrect hands), (incorrect fingers) 0%| | 0/60 [00:00<?, ?it/s] 2%|▏ | 1/60 [00:01<01:28, 1.51s/it] 3%|▎ | 2/60 [00:03<01:46, 1.84s/it] 5%|▌ | 3/60 [00:05<01:45, 1.85s/it] 7%|▋ | 4/60 [00:07<01:47, 1.92s/it] 8%|▊ | 5/60 [00:09<01:46, 1.94s/it] 10%|█ | 6/60 [00:11<01:47, 2.00s/it] 12%|█▏ | 7/60 [00:13<01:45, 2.00s/it] 13%|█▎ | 8/60 [00:15<01:40, 1.93s/it] 15%|█▌ | 9/60 [00:17<01:37, 1.91s/it] 17%|█▋ | 10/60 [00:19<01:37, 1.94s/it] 18%|█▊ | 11/60 [00:21<01:35, 1.94s/it] 20%|██ | 12/60 [00:23<01:34, 1.96s/it] 22%|██▏ | 13/60 [00:25<01:33, 1.98s/it] 23%|██▎ | 14/60 [00:27<01:30, 1.98s/it] 25%|██▌ | 15/60 [00:29<01:28, 1.96s/it] 27%|██▋ | 16/60 [00:31<01:27, 1.98s/it] 28%|██▊ | 17/60 [00:33<01:25, 1.98s/it] 30%|███ | 18/60 [00:35<01:24, 2.00s/it] 32%|███▏ | 19/60 [00:37<01:21, 1.99s/it] 33%|███▎ | 20/60 [00:39<01:19, 2.00s/it] 35%|███▌ | 21/60 [00:40<01:16, 1.96s/it] 37%|███▋ | 22/60 [00:43<01:16, 2.02s/it] 38%|███▊ | 23/60 [00:44<01:12, 1.96s/it] 40%|████ | 24/60 [00:46<01:10, 1.96s/it] 42%|████▏ | 25/60 [00:48<01:07, 1.94s/it] 43%|████▎ | 26/60 [00:50<01:06, 1.96s/it] 45%|████▌ | 27/60 [00:52<01:04, 1.96s/it] 47%|████▋ | 28/60 [00:54<01:00, 1.88s/it] 48%|████▊ | 29/60 [00:56<00:56, 1.84s/it] 50%|█████ | 30/60 [00:58<00:55, 1.85s/it] 52%|█████▏ | 31/60 [01:00<00:54, 1.87s/it] 53%|█████▎ | 32/60 [01:01<00:51, 1.82s/it] 55%|█████▌ | 33/60 [01:03<00:50, 1.88s/it] 57%|█████▋ | 34/60 [01:05<00:48, 1.86s/it] 58%|█████▊ | 35/60 [01:07<00:46, 1.85s/it] 60%|██████ | 36/60 [01:09<00:45, 1.90s/it] 62%|██████▏ | 37/60 [01:11<00:43, 1.88s/it] 63%|██████▎ | 38/60 [01:12<00:40, 1.83s/it] 65%|██████▌ | 39/60 [01:14<00:39, 1.90s/it] 67%|██████▋ | 40/60 [01:16<00:37, 1.89s/it] 68%|██████▊ | 41/60 [01:18<00:35, 1.87s/it] 70%|███████ | 42/60 [01:20<00:32, 1.82s/it] 72%|███████▏ | 43/60 [01:22<00:30, 1.80s/it] 73%|███████▎ | 44/60 [01:23<00:27, 1.73s/it] 75%|███████▌ | 45/60 [01:25<00:25, 1.68s/it] 77%|███████▋ | 46/60 [01:27<00:24, 1.72s/it] 78%|███████▊ | 47/60 [01:28<00:22, 1.71s/it] 80%|████████ | 48/60 [01:30<00:20, 1.71s/it] 82%|████████▏ | 49/60 [01:32<00:18, 1.71s/it] 83%|████████▎ | 50/60 [01:33<00:17, 1.70s/it] 85%|████████▌ | 51/60 [01:35<00:15, 1.76s/it] 87%|████████▋ | 52/60 [01:37<00:13, 1.67s/it] 88%|████████▊ | 53/60 [01:39<00:11, 1.70s/it] 90%|█████████ | 54/60 [01:40<00:09, 1.65s/it] 92%|█████████▏| 55/60 [01:42<00:08, 1.68s/it] 93%|█████████▎| 56/60 [01:43<00:06, 1.67s/it] 95%|█████████▌| 57/60 [01:45<00:05, 1.74s/it] 97%|█████████▋| 58/60 [01:47<00:03, 1.66s/it] 98%|█████████▊| 59/60 [01:48<00:01, 1.49s/it] 100%|██████████| 60/60 [01:49<00:00, 1.32s/it] 100%|██████████| 60/60 [01:49<00:00, 1.82s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.01s 0: 640x480 1 face, 124.5ms Speed: 2.0ms preprocess, 124.5ms inference, 15.2ms postprocess per image at shape (1, 3, 640, 480)