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Speciosa 2.5D
Speciosa 2.5D

Speciosa 2.5D

12 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Pony_DetailV20
Pony Detail V20
EnvyAwesomizeXL01
Envy Awesomize Xl01
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/292dba0c334346c48fc98de75af587ea/output-bc0e3ff7e6b84e4896a155635b352747-00000-4214396738.webp
https://files.tungsten.run/uploads/3a6e0e3329e642808eb2b9b1d862b3e8/output-abba81413f154aa58e181730c962f855-00001-4214396739.webp
https://files.tungsten.run/uploads/4981cca58aa74afeb8882902e83209fb/output-35f46f62a5c64ee2bc09b0011127436f-00002-4214396740.webp
This example was created by sparks
Finished in 64.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl, pantyhose, high heels, black hair, wearing shorts, Denim Jacket, stand, outdoor, source_anime, public place, Wavy, masterpiece, best quality, 8k, score_9, score_8_up, score_7_up, semi-realistic, <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 [00:02<00:42, 2.25s/it] 10%|█ | 2/20 [00:03<00:26, 1.50s/it] 15%|█▌ | 3/20 [00:04<00:21, 1.25s/it] 20%|██ | 4/20 [00:05<00:18, 1.14s/it] 25%|██▌ | 5/20 [00:06<00:16, 1.08s/it] 30%|███ | 6/20 [00:07<00:14, 1.04s/it] 35%|███▌ | 7/20 [00:08<00:13, 1.02s/it] 40%|████ | 8/20 [00:09<00:12, 1.01s/it] 45%|████▌ | 9/20 [00:10<00:10, 1.00it/s] 50%|█████ | 10/20 [00:10<00:09, 1.01it/s] 55%|█████▌ | 11/20 [00:11<00:08, 1.01it/s] 60%|██████ | 12/20 [00:12<00:07, 1.02it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.02it/s] 70%|███████ | 14/20 [00:14<00:05, 1.02it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.02it/s] 80%|████████ | 16/20 [00:16<00:03, 1.02it/s] 85%|████████▌ | 17/20 [00:17<00:02, 1.01it/s] 90%|█████████ | 18/20 [00:18<00:01, 1.02it/s] 95%|█████████▌| 19/20 [00:19<00:00, 1.01it/s] 100%|██████████| 20/20 [00:20<00:00, 1.02it/s] 100%|██████████| 20/20 [00:20<00:00, 1.04s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 158.2ms Speed: 2.9ms preprocess, 158.2ms inference, 28.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.16it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.52it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.64it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.73it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.79it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.83it/s] 78%|███████▊ | 7/9 [00:03<00:01, 1.87it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.12it/s] 100%|██████████| 9/9 [00:03<00:00, 2.34it/s] 100%|██████████| 9/9 [00:03<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.88it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.90it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.88it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.90it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.91it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.92it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.88it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.89it/s] 100%|██████████| 9/9 [00:03<00:00, 2.92it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 4 faces, 8.3ms Speed: 2.7ms preprocess, 8.3ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.90it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.90it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.89it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.88it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.90it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.91it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.91it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.90it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.92it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.92it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.93it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.94it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.92it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.92it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.92it/s] 100%|██████████| 9/9 [00:03<00:00, 2.94it/s] 100%|██████████| 9/9 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.90it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.91it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.91it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.92it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.93it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.93it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.92it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.92it/s] 100%|██████████| 9/9 [00:03<00:00, 2.94it/s] 100%|██████████| 9/9 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.89it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.91it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.91it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.92it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.92it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.93it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.92it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.93it/s] 100%|██████████| 9/9 [00:03<00:00, 2.95it/s] 100%|██████████| 9/9 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.91it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.93it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.92it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.92it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.91it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.90it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.90it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.90it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s Uploading files.. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
Pony_DetailV20
Pony Detail V20
EnvyAwesomizeXL01
Envy Awesomize Xl01
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/292dba0c334346c48fc98de75af587ea/output-bc0e3ff7e6b84e4896a155635b352747-00000-4214396738.webp
https://files.tungsten.run/uploads/3a6e0e3329e642808eb2b9b1d862b3e8/output-abba81413f154aa58e181730c962f855-00001-4214396739.webp
https://files.tungsten.run/uploads/4981cca58aa74afeb8882902e83209fb/output-35f46f62a5c64ee2bc09b0011127436f-00002-4214396740.webp
This example was created by sparks
Finished in 64.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1girl, pantyhose, high heels, black hair, wearing shorts, Denim Jacket, stand, outdoor, source_anime, public place, Wavy, masterpiece, best quality, 8k, score_9, score_8_up, score_7_up, semi-realistic, <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 [00:02<00:42, 2.25s/it] 10%|█ | 2/20 [00:03<00:26, 1.50s/it] 15%|█▌ | 3/20 [00:04<00:21, 1.25s/it] 20%|██ | 4/20 [00:05<00:18, 1.14s/it] 25%|██▌ | 5/20 [00:06<00:16, 1.08s/it] 30%|███ | 6/20 [00:07<00:14, 1.04s/it] 35%|███▌ | 7/20 [00:08<00:13, 1.02s/it] 40%|████ | 8/20 [00:09<00:12, 1.01s/it] 45%|████▌ | 9/20 [00:10<00:10, 1.00it/s] 50%|█████ | 10/20 [00:10<00:09, 1.01it/s] 55%|█████▌ | 11/20 [00:11<00:08, 1.01it/s] 60%|██████ | 12/20 [00:12<00:07, 1.02it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.02it/s] 70%|███████ | 14/20 [00:14<00:05, 1.02it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.02it/s] 80%|████████ | 16/20 [00:16<00:03, 1.02it/s] 85%|████████▌ | 17/20 [00:17<00:02, 1.01it/s] 90%|█████████ | 18/20 [00:18<00:01, 1.02it/s] 95%|█████████▌| 19/20 [00:19<00:00, 1.01it/s] 100%|██████████| 20/20 [00:20<00:00, 1.02it/s] 100%|██████████| 20/20 [00:20<00:00, 1.04s/it] Decoding latents in cuda:0... done in 1.76s Move latents to cpu... done in 0.02s 0: 640x480 2 faces, 158.2ms Speed: 2.9ms preprocess, 158.2ms inference, 28.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:03, 2.16it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.52it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.64it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.73it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.79it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.83it/s] 78%|███████▊ | 7/9 [00:03<00:01, 1.87it/s] 89%|████████▉ | 8/9 [00:03<00:00, 2.12it/s] 100%|██████████| 9/9 [00:03<00:00, 2.34it/s] 100%|██████████| 9/9 [00:03<00:00, 2.38it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.88it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.90it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.88it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.90it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.91it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.92it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.88it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.89it/s] 100%|██████████| 9/9 [00:03<00:00, 2.92it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0: 640x480 4 faces, 8.3ms Speed: 2.7ms preprocess, 8.3ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.90it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.90it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.89it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.88it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.90it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.91it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.91it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.90it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.92it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.92it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.93it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.94it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.92it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.92it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.92it/s] 100%|██████████| 9/9 [00:03<00:00, 2.94it/s] 100%|██████████| 9/9 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.90it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.91it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.91it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.92it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.93it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.93it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.92it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.92it/s] 100%|██████████| 9/9 [00:03<00:00, 2.94it/s] 100%|██████████| 9/9 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.59s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.89it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.91it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.91it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.92it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.92it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.93it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.92it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.93it/s] 100%|██████████| 9/9 [00:03<00:00, 2.95it/s] 100%|██████████| 9/9 [00:03<00:00, 2.93it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.91it/s] 22%|██▏ | 2/9 [00:00<00:02, 2.93it/s] 33%|███▎ | 3/9 [00:01<00:02, 2.92it/s] 44%|████▍ | 4/9 [00:01<00:01, 2.92it/s] 56%|█████▌ | 5/9 [00:01<00:01, 2.91it/s] 67%|██████▋ | 6/9 [00:02<00:01, 2.90it/s] 78%|███████▊ | 7/9 [00:02<00:00, 2.90it/s] 89%|████████▉ | 8/9 [00:02<00:00, 2.90it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] 100%|██████████| 9/9 [00:03<00:00, 2.91it/s] Decoding latents in cuda:0... done in 0.6s Move latents to cpu... done in 0.0s Uploading files.. Finished.