tungsten-logo
Sign In
Emo with Speciosa 2.5D v1.0
Speciosa 2.5D:v1.0
sparks
sparks
·
Jul 9
31
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, pov, solo, (seductive 18yo emo), suggestive pose, natural beauty, big lips, brown eyes, cute smile, parted lips, (messy black hair), blonde streak, sidelocks, choker, (cropped tee-shirt), thong, studded belt, long eyelashes, pleated mini skirt, (bedroom, thigh socks, tattoos, piercings, red LED lighting, amateur, ((realistic)), ((short focal length, 18mm)), (selfie), heavy metal posters, spread legs,
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), (freckles:1.2)
Pony_DetailV20
Pony Detail V20
1
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
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
0.4
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.
1871087729
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
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/ed4ba3010e98409a923bbf51493045bd/output-a73278b055d94a558ca348b598f50156-00000-1871087729.webp
https://files.tungsten.run/uploads/286cedea116a44558c6bd7eb8cec269f/output-df1af4a1517c4131a492099cda9124d5-00001-1871087730.webp
https://files.tungsten.run/uploads/a25abe58497d40348b2543483e753882/output-8d4e0e93ba2b4ce28b3ca7c64ec9202b-00002-1871087731.webp
Finished in 48.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, pov, solo, (seductive 18yo emo), suggestive pose, natural beauty, big lips, brown eyes, cute smile, parted lips, (messy black hair), blonde streak, sidelocks, choker, (cropped tee-shirt), thong, studded belt, long eyelashes, pleated mini skirt, (bedroom, thigh socks, tattoos, piercings, red LED lighting, amateur, ((realistic)), ((short focal length, 18mm)), (selfie), heavy metal posters, spread legs,, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), (freckles:1.2) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.17it/s] 10%|█ | 2/20 [00:01<00:15, 1.16it/s] 15%|█▌ | 3/20 [00:02<00:14, 1.16it/s] 20%|██ | 4/20 [00:03<00:13, 1.16it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.15it/s] 30%|███ | 6/20 [00:05<00:12, 1.15it/s] 35%|███▌ | 7/20 [00:06<00:11, 1.15it/s] 40%|████ | 8/20 [00:06<00:10, 1.15it/s] 45%|████▌ | 9/20 [00:07<00:09, 1.15it/s] 50%|█████ | 10/20 [00:08<00:08, 1.15it/s] 55%|█████▌ | 11/20 [00:09<00:07, 1.15it/s] 60%|██████ | 12/20 [00:10<00:06, 1.15it/s] 65%|██████▌ | 13/20 [00:11<00:06, 1.15it/s] 70%|███████ | 14/20 [00:12<00:05, 1.15it/s] 75%|███████▌ | 15/20 [00:12<00:04, 1.15it/s] 80%|████████ | 16/20 [00:13<00:03, 1.15it/s] 85%|████████▌ | 17/20 [00:14<00:02, 1.15it/s] 90%|█████████ | 18/20 [00:15<00:01, 1.15it/s] 95%|█████████▌| 19/20 [00:16<00:00, 1.15it/s] 100%|██████████| 20/20 [00:17<00:00, 1.16it/s] 100%|██████████| 20/20 [00:17<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.07it/s] 22%|██▏ | 2/9 [00:00<00:03, 2.08it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.08it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.05it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.03it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.03it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.02it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.04it/s] 100%|██████████| 9/9 [00:04<00:00, 2.05it/s] 100%|██████████| 9/9 [00:04<00:00, 2.04it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:04, 1.99it/s] 22%|██▏ | 2/9 [00:01<00:03, 1.99it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.99it/s] 44%|████▍ | 4/9 [00:02<00:02, 2.00it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.00it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.01it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.03it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.04it/s] 100%|██████████| 9/9 [00:04<00:00, 2.06it/s] 100%|██████████| 9/9 [00:04<00:00, 2.03it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.07it/s] 22%|██▏ | 2/9 [00:00<00:03, 2.08it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.08it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.07it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.07it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.07it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.08it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.08it/s] 100%|██████████| 9/9 [00:04<00:00, 2.09it/s] 100%|██████████| 9/9 [00:04<00:00, 2.08it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.08it/s] 22%|██▏ | 2/9 [00:00<00:03, 2.08it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.08it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.07it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.07it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.06it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.05it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.05it/s] 100%|██████████| 9/9 [00:04<00:00, 2.05it/s] 100%|██████████| 9/9 [00:04<00:00, 2.06it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:04, 1.97it/s] 22%|██▏ | 2/9 [00:01<00:03, 1.98it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.02it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.05it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.06it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.06it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.07it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.07it/s] 100%|██████████| 9/9 [00:04<00:00, 2.08it/s] 100%|██████████| 9/9 [00:04<00:00, 2.06it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up, pov, solo, (seductive 18yo emo), suggestive pose, natural beauty, big lips, brown eyes, cute smile, parted lips, (messy black hair), blonde streak, sidelocks, choker, (cropped tee-shirt), thong, studded belt, long eyelashes, pleated mini skirt, (bedroom, thigh socks, tattoos, piercings, red LED lighting, amateur, ((realistic)), ((short focal length, 18mm)), (selfie), heavy metal posters, spread legs,
negative_prompt
Specify things to not see in the output
(worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), (freckles:1.2)
Pony_DetailV20
Pony Detail V20
1
EnvyAwesomizeXL01
Envy Awesomize Xl01
2
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
0.4
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.
1871087729
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
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/ed4ba3010e98409a923bbf51493045bd/output-a73278b055d94a558ca348b598f50156-00000-1871087729.webp
https://files.tungsten.run/uploads/286cedea116a44558c6bd7eb8cec269f/output-df1af4a1517c4131a492099cda9124d5-00001-1871087730.webp
https://files.tungsten.run/uploads/a25abe58497d40348b2543483e753882/output-8d4e0e93ba2b4ce28b3ca7c64ec9202b-00002-1871087731.webp
Finished in 48.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up, pov, solo, (seductive 18yo emo), suggestive pose, natural beauty, big lips, brown eyes, cute smile, parted lips, (messy black hair), blonde streak, sidelocks, choker, (cropped tee-shirt), thong, studded belt, long eyelashes, pleated mini skirt, (bedroom, thigh socks, tattoos, piercings, red LED lighting, amateur, ((realistic)), ((short focal length, 18mm)), (selfie), heavy metal posters, spread legs,, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), (freckles:1.2) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:16, 1.17it/s] 10%|█ | 2/20 [00:01<00:15, 1.16it/s] 15%|█▌ | 3/20 [00:02<00:14, 1.16it/s] 20%|██ | 4/20 [00:03<00:13, 1.16it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.15it/s] 30%|███ | 6/20 [00:05<00:12, 1.15it/s] 35%|███▌ | 7/20 [00:06<00:11, 1.15it/s] 40%|████ | 8/20 [00:06<00:10, 1.15it/s] 45%|████▌ | 9/20 [00:07<00:09, 1.15it/s] 50%|█████ | 10/20 [00:08<00:08, 1.15it/s] 55%|█████▌ | 11/20 [00:09<00:07, 1.15it/s] 60%|██████ | 12/20 [00:10<00:06, 1.15it/s] 65%|██████▌ | 13/20 [00:11<00:06, 1.15it/s] 70%|███████ | 14/20 [00:12<00:05, 1.15it/s] 75%|███████▌ | 15/20 [00:12<00:04, 1.15it/s] 80%|████████ | 16/20 [00:13<00:03, 1.15it/s] 85%|████████▌ | 17/20 [00:14<00:02, 1.15it/s] 90%|█████████ | 18/20 [00:15<00:01, 1.15it/s] 95%|█████████▌| 19/20 [00:16<00:00, 1.15it/s] 100%|██████████| 20/20 [00:17<00:00, 1.16it/s] 100%|██████████| 20/20 [00:17<00:00, 1.15it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.07it/s] 22%|██▏ | 2/9 [00:00<00:03, 2.08it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.08it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.05it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.03it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.03it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.02it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.04it/s] 100%|██████████| 9/9 [00:04<00:00, 2.05it/s] 100%|██████████| 9/9 [00:04<00:00, 2.04it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:04, 1.99it/s] 22%|██▏ | 2/9 [00:01<00:03, 1.99it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.99it/s] 44%|████▍ | 4/9 [00:02<00:02, 2.00it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.00it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.01it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.03it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.04it/s] 100%|██████████| 9/9 [00:04<00:00, 2.06it/s] 100%|██████████| 9/9 [00:04<00:00, 2.03it/s] Decoding latents in cuda:0... done in 0.55s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.07it/s] 22%|██▏ | 2/9 [00:00<00:03, 2.08it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.08it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.07it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.07it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.07it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.08it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.08it/s] 100%|██████████| 9/9 [00:04<00:00, 2.09it/s] 100%|██████████| 9/9 [00:04<00:00, 2.08it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.08it/s] 22%|██▏ | 2/9 [00:00<00:03, 2.08it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.08it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.07it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.07it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.06it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.05it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.05it/s] 100%|██████████| 9/9 [00:04<00:00, 2.05it/s] 100%|██████████| 9/9 [00:04<00:00, 2.06it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:04, 1.97it/s] 22%|██▏ | 2/9 [00:01<00:03, 1.98it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.02it/s] 44%|████▍ | 4/9 [00:01<00:02, 2.05it/s] 56%|█████▌ | 5/9 [00:02<00:01, 2.06it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.06it/s] 78%|███████▊ | 7/9 [00:03<00:00, 2.07it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.07it/s] 100%|██████████| 9/9 [00:04<00:00, 2.08it/s] 100%|██████████| 9/9 [00:04<00:00, 2.06it/s] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s Uploading files.. Finished.