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Speciosa Realistica
Speciosa Realistica

Speciosa Realistica

7 stars
Version: v1.2
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/e8966262d75e42d99a1dd458bdcfbd60/output-3c7ce5351d4540779aeba5f8c8308417-00000-3557433985.webp
https://files.tungsten.run/uploads/7525163f914b41b3a5420060640e863e/output-f42cd342c48449168bbcdddbd8099dd1-00001-3557433986.webp
https://files.tungsten.run/uploads/49e417ca665342cf8915c1e956554264/output-818a7947b69f4328be7e176e2a81899c-00002-3557433987.webp
This example was created by sparks
Finished in 53.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ,score_9,score_8_up,score_7_up, 20 years old, korean, 8k, hd, beautiful girl, black hair, very long hair, straight hair, closed mouth, 1girl, detailed face, beautiful woman's face, bikini, bra, pool side, looking at viewer,, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_6, score_5, score_4, pony, gaping, censored, furry, chibi, 3d, photo, monochrome, elven ears, anime, multiple cocks, extra legs, extra hands, mutated legs, mutated hands, open mouth, closed eyes, big man, high man, muscular man, muscular hands, man thighs, man body 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:44, 2.35s/it] 10%|█ | 2/20 [00:03<00:27, 1.51s/it] 15%|█▌ | 3/20 [00:04<00:21, 1.24s/it] 20%|██ | 4/20 [00:05<00:17, 1.11s/it] 25%|██▌ | 5/20 [00:06<00:15, 1.04s/it] 30%|███ | 6/20 [00:06<00:13, 1.00it/s] 35%|███▌ | 7/20 [00:07<00:12, 1.03it/s] 40%|████ | 8/20 [00:08<00:11, 1.05it/s] 45%|████▌ | 9/20 [00:09<00:10, 1.05it/s] 50%|█████ | 10/20 [00:10<00:09, 1.06it/s] 55%|█████▌ | 11/20 [00:11<00:08, 1.07it/s] 60%|██████ | 12/20 [00:12<00:07, 1.07it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.07it/s] 70%|███████ | 14/20 [00:14<00:05, 1.07it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.07it/s] 80%|████████ | 16/20 [00:16<00:03, 1.07it/s] 85%|████████▌ | 17/20 [00:17<00:02, 1.07it/s] 90%|█████████ | 18/20 [00:18<00:01, 1.07it/s] 95%|█████████▌| 19/20 [00:19<00:00, 1.07it/s] 100%|██████████| 20/20 [00:19<00:00, 1.07it/s] 100%|██████████| 20/20 [00:19<00:00, 1.00it/s] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.9ms Speed: 3.4ms preprocess, 157.9ms inference, 29.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:05, 1.36it/s] 22%|██▏ | 2/9 [00:01<00:04, 1.49it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.55it/s] 44%|████▍ | 4/9 [00:02<00:03, 1.59it/s] 56%|█████▌ | 5/9 [00:03<00:02, 1.61it/s] 67%|██████▋ | 6/9 [00:03<00:01, 1.63it/s] 78%|███████▊ | 7/9 [00:04<00:01, 1.62it/s] 89%|████████▉ | 8/9 [00:05<00:00, 1.62it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:05, 1.60it/s] 22%|██▏ | 2/9 [00:01<00:04, 1.63it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.63it/s] 44%|████▍ | 4/9 [00:02<00:03, 1.64it/s] 56%|█████▌ | 5/9 [00:03<00:02, 1.62it/s] 67%|██████▋ | 6/9 [00:03<00:01, 1.62it/s] 78%|███████▊ | 7/9 [00:04<00:01, 1.64it/s] 89%|████████▉ | 8/9 [00:04<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.5ms preprocess, 8.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:04, 1.62it/s] 22%|██▏ | 2/9 [00:01<00:04, 1.64it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.64it/s] 44%|████▍ | 4/9 [00:02<00:03, 1.64it/s] 56%|█████▌ | 5/9 [00:03<00:02, 1.64it/s] 67%|██████▋ | 6/9 [00:03<00:01, 1.62it/s] 78%|███████▊ | 7/9 [00:04<00:01, 1.63it/s] 89%|████████▉ | 8/9 [00:04<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s 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/e8966262d75e42d99a1dd458bdcfbd60/output-3c7ce5351d4540779aeba5f8c8308417-00000-3557433985.webp
https://files.tungsten.run/uploads/7525163f914b41b3a5420060640e863e/output-f42cd342c48449168bbcdddbd8099dd1-00001-3557433986.webp
https://files.tungsten.run/uploads/49e417ca665342cf8915c1e956554264/output-818a7947b69f4328be7e176e2a81899c-00002-3557433987.webp
This example was created by sparks
Finished in 53.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ,score_9,score_8_up,score_7_up, 20 years old, korean, 8k, hd, beautiful girl, black hair, very long hair, straight hair, closed mouth, 1girl, detailed face, beautiful woman's face, bikini, bra, pool side, looking at viewer,, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_6, score_5, score_4, pony, gaping, censored, furry, chibi, 3d, photo, monochrome, elven ears, anime, multiple cocks, extra legs, extra hands, mutated legs, mutated hands, open mouth, closed eyes, big man, high man, muscular man, muscular hands, man thighs, man body 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:44, 2.35s/it] 10%|█ | 2/20 [00:03<00:27, 1.51s/it] 15%|█▌ | 3/20 [00:04<00:21, 1.24s/it] 20%|██ | 4/20 [00:05<00:17, 1.11s/it] 25%|██▌ | 5/20 [00:06<00:15, 1.04s/it] 30%|███ | 6/20 [00:06<00:13, 1.00it/s] 35%|███▌ | 7/20 [00:07<00:12, 1.03it/s] 40%|████ | 8/20 [00:08<00:11, 1.05it/s] 45%|████▌ | 9/20 [00:09<00:10, 1.05it/s] 50%|█████ | 10/20 [00:10<00:09, 1.06it/s] 55%|█████▌ | 11/20 [00:11<00:08, 1.07it/s] 60%|██████ | 12/20 [00:12<00:07, 1.07it/s] 65%|██████▌ | 13/20 [00:13<00:06, 1.07it/s] 70%|███████ | 14/20 [00:14<00:05, 1.07it/s] 75%|███████▌ | 15/20 [00:15<00:04, 1.07it/s] 80%|████████ | 16/20 [00:16<00:03, 1.07it/s] 85%|████████▌ | 17/20 [00:17<00:02, 1.07it/s] 90%|█████████ | 18/20 [00:18<00:01, 1.07it/s] 95%|█████████▌| 19/20 [00:19<00:00, 1.07it/s] 100%|██████████| 20/20 [00:19<00:00, 1.07it/s] 100%|██████████| 20/20 [00:19<00:00, 1.00it/s] Decoding latents in cuda:0... done in 1.8s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.9ms Speed: 3.4ms preprocess, 157.9ms inference, 29.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:05, 1.36it/s] 22%|██▏ | 2/9 [00:01<00:04, 1.49it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.55it/s] 44%|████▍ | 4/9 [00:02<00:03, 1.59it/s] 56%|█████▌ | 5/9 [00:03<00:02, 1.61it/s] 67%|██████▋ | 6/9 [00:03<00:01, 1.63it/s] 78%|███████▊ | 7/9 [00:04<00:01, 1.62it/s] 89%|████████▉ | 8/9 [00:05<00:00, 1.62it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.4ms preprocess, 8.4ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:05, 1.60it/s] 22%|██▏ | 2/9 [00:01<00:04, 1.63it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.63it/s] 44%|████▍ | 4/9 [00:02<00:03, 1.64it/s] 56%|█████▌ | 5/9 [00:03<00:02, 1.62it/s] 67%|██████▋ | 6/9 [00:03<00:01, 1.62it/s] 78%|███████▊ | 7/9 [00:04<00:01, 1.64it/s] 89%|████████▉ | 8/9 [00:04<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.5ms preprocess, 8.4ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:04, 1.62it/s] 22%|██▏ | 2/9 [00:01<00:04, 1.64it/s] 33%|███▎ | 3/9 [00:01<00:03, 1.64it/s] 44%|████▍ | 4/9 [00:02<00:03, 1.64it/s] 56%|█████▌ | 5/9 [00:03<00:02, 1.64it/s] 67%|██████▋ | 6/9 [00:03<00:01, 1.62it/s] 78%|███████▊ | 7/9 [00:04<00:01, 1.63it/s] 89%|████████▉ | 8/9 [00:04<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] 100%|██████████| 9/9 [00:05<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.