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Sweater with Speciosa 2.5D v1.0
Speciosa 2.5D:v1.0
sparks
sparks
·
Jul 9
6
Input
prompt
Specify things to see in the output
,score_9, score_8_up, score_7_up, 20 years old, 8k, hd, beautiful girl, black hair, very long hair, straight hair, closed mouth, 1girl, detailed face, beautiful woman's face, sweater, marketplace, looking at viewer,
negative_prompt
Specify things to not see in the output
score_4, score_3, score_5, score_6, black background, dark background, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,
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.
1312156379
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/0e450f3b32b547a98e7596434075a780/output-d2684450c286493398059569944034dc-00000-1312156379.webp
https://files.tungsten.run/uploads/f1a928c7eb134680aeaf38e48d2a7568/output-533314153a554054981ed8a6d40cd019-00001-1312156380.webp
https://files.tungsten.run/uploads/7251d35aeb0943dcb41757546148cadd/output-07d1a9299e464c5f9d2bb1535867b71d-00002-1312156381.webp
Finished in 34.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ,score_9, score_8_up, score_7_up, 20 years old, 8k, hd, beautiful girl, black hair, very long hair, straight hair, closed mouth, 1girl, detailed face, beautiful woman's face, sweater, marketplace, looking at viewer,, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_4, score_3, score_5, score_6, black background, dark background, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:17, 1.08it/s] 10%|█ | 2/20 [00:01<00:16, 1.08it/s] 15%|█▌ | 3/20 [00:02<00:15, 1.08it/s] 20%|██ | 4/20 [00:03<00:14, 1.07it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.07it/s] 30%|███ | 6/20 [00:05<00:13, 1.07it/s] 35%|███▌ | 7/20 [00:06<00:12, 1.07it/s] 40%|████ | 8/20 [00:07<00:11, 1.07it/s] 45%|████▌ | 9/20 [00:08<00:10, 1.07it/s] 50%|█████ | 10/20 [00:09<00:09, 1.07it/s] 55%|█████▌ | 11/20 [00:10<00:08, 1.07it/s] 60%|██████ | 12/20 [00:11<00:07, 1.07it/s] 65%|██████▌ | 13/20 [00:12<00:06, 1.07it/s] 70%|███████ | 14/20 [00:13<00:05, 1.07it/s] 75%|███████▌ | 15/20 [00:13<00:04, 1.07it/s] 80%|████████ | 16/20 [00:14<00:03, 1.07it/s] 85%|████████▌ | 17/20 [00:15<00:02, 1.07it/s] 90%|█████████ | 18/20 [00:16<00:01, 1.07it/s] 95%|█████████▌| 19/20 [00:17<00:00, 1.07it/s] 100%|██████████| 20/20 [00:18<00:00, 1.07it/s] 100%|██████████| 20/20 [00:18<00:00, 1.07it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.85it/s] 22%|██▏ | 2/9 [00:00<00:02, 3.15it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.23it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.23it/s] 56%|█████▌ | 5/9 [00:01<00:01, 3.27it/s] 67%|██████▋ | 6/9 [00:01<00:00, 3.29it/s] 78%|███████▊ | 7/9 [00:02<00:00, 3.27it/s] 89%|████████▉ | 8/9 [00:02<00:00, 3.29it/s] 100%|██████████| 9/9 [00:02<00:00, 3.34it/s] 100%|██████████| 9/9 [00:02<00:00, 3.27it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 3.42it/s] 22%|██▏ | 2/9 [00:00<00:02, 3.38it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.37it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.32it/s] 56%|█████▌ | 5/9 [00:01<00:01, 3.32it/s] 67%|██████▋ | 6/9 [00:01<00:00, 3.33it/s] 78%|███████▊ | 7/9 [00:02<00:00, 3.29it/s] 89%|████████▉ | 8/9 [00:02<00:00, 3.31it/s] 100%|██████████| 9/9 [00:02<00:00, 3.34it/s] 100%|██████████| 9/9 [00:02<00:00, 3.33it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 3.42it/s] 22%|██▏ | 2/9 [00:00<00:02, 3.39it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.36it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.30it/s] 56%|█████▌ | 5/9 [00:01<00:01, 3.32it/s] 67%|██████▋ | 6/9 [00:01<00:00, 3.33it/s] 78%|███████▊ | 7/9 [00:02<00:00, 3.29it/s] 89%|████████▉ | 8/9 [00:02<00:00, 3.30it/s] 100%|██████████| 9/9 [00:02<00:00, 3.33it/s] 100%|██████████| 9/9 [00:02<00:00, 3.33it/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
,score_9, score_8_up, score_7_up, 20 years old, 8k, hd, beautiful girl, black hair, very long hair, straight hair, closed mouth, 1girl, detailed face, beautiful woman's face, sweater, marketplace, looking at viewer,
negative_prompt
Specify things to not see in the output
score_4, score_3, score_5, score_6, black background, dark background, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,
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.
1312156379
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/0e450f3b32b547a98e7596434075a780/output-d2684450c286493398059569944034dc-00000-1312156379.webp
https://files.tungsten.run/uploads/f1a928c7eb134680aeaf38e48d2a7568/output-533314153a554054981ed8a6d40cd019-00001-1312156380.webp
https://files.tungsten.run/uploads/7251d35aeb0943dcb41757546148cadd/output-07d1a9299e464c5f9d2bb1535867b71d-00002-1312156381.webp
Finished in 34.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: ,score_9, score_8_up, score_7_up, 20 years old, 8k, hd, beautiful girl, black hair, very long hair, straight hair, closed mouth, 1girl, detailed face, beautiful woman's face, sweater, marketplace, looking at viewer,, <lora:EnvyAwesomizeXL01:2.0>, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_4, score_3, score_5, score_6, black background, dark background, sketches, (worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:17, 1.08it/s] 10%|█ | 2/20 [00:01<00:16, 1.08it/s] 15%|█▌ | 3/20 [00:02<00:15, 1.08it/s] 20%|██ | 4/20 [00:03<00:14, 1.07it/s] 25%|██▌ | 5/20 [00:04<00:13, 1.07it/s] 30%|███ | 6/20 [00:05<00:13, 1.07it/s] 35%|███▌ | 7/20 [00:06<00:12, 1.07it/s] 40%|████ | 8/20 [00:07<00:11, 1.07it/s] 45%|████▌ | 9/20 [00:08<00:10, 1.07it/s] 50%|█████ | 10/20 [00:09<00:09, 1.07it/s] 55%|█████▌ | 11/20 [00:10<00:08, 1.07it/s] 60%|██████ | 12/20 [00:11<00:07, 1.07it/s] 65%|██████▌ | 13/20 [00:12<00:06, 1.07it/s] 70%|███████ | 14/20 [00:13<00:05, 1.07it/s] 75%|███████▌ | 15/20 [00:13<00:04, 1.07it/s] 80%|████████ | 16/20 [00:14<00:03, 1.07it/s] 85%|████████▌ | 17/20 [00:15<00:02, 1.07it/s] 90%|█████████ | 18/20 [00:16<00:01, 1.07it/s] 95%|█████████▌| 19/20 [00:17<00:00, 1.07it/s] 100%|██████████| 20/20 [00:18<00:00, 1.07it/s] 100%|██████████| 20/20 [00:18<00:00, 1.07it/s] Decoding latents in cuda:0... done in 1.71s Move latents to cpu... done in 0.01s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 2.85it/s] 22%|██▏ | 2/9 [00:00<00:02, 3.15it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.23it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.23it/s] 56%|█████▌ | 5/9 [00:01<00:01, 3.27it/s] 67%|██████▋ | 6/9 [00:01<00:00, 3.29it/s] 78%|███████▊ | 7/9 [00:02<00:00, 3.27it/s] 89%|████████▉ | 8/9 [00:02<00:00, 3.29it/s] 100%|██████████| 9/9 [00:02<00:00, 3.34it/s] 100%|██████████| 9/9 [00:02<00:00, 3.27it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 3.42it/s] 22%|██▏ | 2/9 [00:00<00:02, 3.38it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.37it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.32it/s] 56%|█████▌ | 5/9 [00:01<00:01, 3.32it/s] 67%|██████▋ | 6/9 [00:01<00:00, 3.33it/s] 78%|███████▊ | 7/9 [00:02<00:00, 3.29it/s] 89%|████████▉ | 8/9 [00:02<00:00, 3.31it/s] 100%|██████████| 9/9 [00:02<00:00, 3.34it/s] 100%|██████████| 9/9 [00:02<00:00, 3.33it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0%| | 0/9 [00:00<?, ?it/s] 11%|█ | 1/9 [00:00<00:02, 3.42it/s] 22%|██▏ | 2/9 [00:00<00:02, 3.39it/s] 33%|███▎ | 3/9 [00:00<00:01, 3.36it/s] 44%|████▍ | 4/9 [00:01<00:01, 3.30it/s] 56%|█████▌ | 5/9 [00:01<00:01, 3.32it/s] 67%|██████▋ | 6/9 [00:01<00:00, 3.33it/s] 78%|███████▊ | 7/9 [00:02<00:00, 3.29it/s] 89%|████████▉ | 8/9 [00:02<00:00, 3.30it/s] 100%|██████████| 9/9 [00:02<00:00, 3.33it/s] 100%|██████████| 9/9 [00:02<00:00, 3.33it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.