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In a bar with GoodFit-Pony 3D v4.1MoreRealistic
GoodFit-Pony 3D:v4.1MoreRealistic
sparks
sparks
·
Jul 15
28
Input
prompt
Specify things to see in the output
score_9, score_8_up, score_7_up,score_6_up, score_5_up, 1girl, big breasts, blond hair, black jacket, white sweater, jeans, bar,
negative_prompt
Specify things to not see in the output
score_1, score_2, score_3, score_4, source_furry, bad, low res, blurry, bad hands, broken hands, watermark, crowd,
Pony_DetailV20
Pony Detail V20
1
EnvyAwesomizeXL01
Envy Awesomize Xl01
0
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.
1630930232
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
35
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/37c78b63671b4ea299b34f927fd8b560/output-64f06478f1744e47be497fa0e0a5dce1-00000-1630930232.webp
https://files.tungsten.run/uploads/e693aa2d27a749adbeb00a55200eaf05/output-079c5794bd20439bacbe692b2a50c44a-00001-1630930233.webp
https://files.tungsten.run/uploads/e302fb78aa554fbaa587876aec9cddc8/output-7c877363c5c246f6a196a7a5e93de375-00002-1630930234.webp
Finished in 66.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up,score_6_up, score_5_up, 1girl, big breasts, blond hair, black jacket, white sweater, jeans, bar,, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_1, score_2, score_3, score_4, source_furry, bad, low res, blurry, bad hands, broken hands, watermark, crowd, 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:12, 2.14s/it] 6%|▌ | 2/35 [00:03<00:47, 1.44s/it] 9%|▊ | 3/35 [00:04<00:38, 1.22s/it] 11%|█▏ | 4/35 [00:04<00:34, 1.11s/it] 14%|█▍ | 5/35 [00:05<00:31, 1.05s/it] 17%|█▋ | 6/35 [00:06<00:29, 1.02s/it] 20%|██ | 7/35 [00:07<00:27, 1.00it/s] 23%|██▎ | 8/35 [00:08<00:26, 1.02it/s] 26%|██▌ | 9/35 [00:09<00:25, 1.03it/s] 29%|██▊ | 10/35 [00:10<00:24, 1.03it/s] 31%|███▏ | 11/35 [00:11<00:23, 1.03it/s] 34%|███▍ | 12/35 [00:12<00:22, 1.04it/s] 37%|███▋ | 13/35 [00:13<00:21, 1.04it/s] 40%|████ | 14/35 [00:14<00:20, 1.04it/s] 43%|████▎ | 15/35 [00:15<00:19, 1.04it/s] 46%|████▌ | 16/35 [00:16<00:18, 1.04it/s] 49%|████▊ | 17/35 [00:17<00:17, 1.04it/s] 51%|█████▏ | 18/35 [00:18<00:16, 1.04it/s] 54%|█████▍ | 19/35 [00:19<00:15, 1.04it/s] 57%|█████▋ | 20/35 [00:20<00:14, 1.04it/s] 60%|██████ | 21/35 [00:21<00:13, 1.04it/s] 63%|██████▎ | 22/35 [00:22<00:12, 1.04it/s] 66%|██████▌ | 23/35 [00:23<00:11, 1.04it/s] 69%|██████▊ | 24/35 [00:24<00:10, 1.04it/s] 71%|███████▏ | 25/35 [00:25<00:09, 1.04it/s] 74%|███████▍ | 26/35 [00:26<00:08, 1.04it/s] 77%|███████▋ | 27/35 [00:27<00:07, 1.04it/s] 80%|████████ | 28/35 [00:27<00:06, 1.04it/s] 83%|████████▎ | 29/35 [00:28<00:05, 1.04it/s] 86%|████████▌ | 30/35 [00:29<00:04, 1.04it/s] 89%|████████▊ | 31/35 [00:30<00:03, 1.04it/s] 91%|█████████▏| 32/35 [00:31<00:02, 1.04it/s] 94%|█████████▍| 33/35 [00:32<00:01, 1.04it/s] 97%|█████████▋| 34/35 [00:33<00:00, 1.04it/s] 100%|██████████| 35/35 [00:34<00:00, 1.05it/s] 100%|██████████| 35/35 [00:34<00:00, 1.01it/s] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.6ms Speed: 3.6ms preprocess, 157.6ms inference, 32.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:06, 2.27it/s] 13%|█▎ | 2/15 [00:00<00:04, 2.63it/s] 20%|██ | 3/15 [00:01<00:04, 2.77it/s] 27%|██▋ | 4/15 [00:01<00:03, 2.83it/s] 33%|███▎ | 5/15 [00:01<00:03, 2.85it/s] 40%|████ | 6/15 [00:02<00:03, 2.90it/s] 47%|████▋ | 7/15 [00:02<00:02, 2.92it/s] 53%|█████▎ | 8/15 [00:02<00:02, 2.91it/s] 60%|██████ | 9/15 [00:03<00:02, 2.93it/s] 67%|██████▋ | 10/15 [00:03<00:01, 2.92it/s] 73%|███████▎ | 11/15 [00:03<00:01, 2.90it/s] 80%|████████ | 12/15 [00:04<00:01, 2.93it/s] 87%|████████▋ | 13/15 [00:04<00:00, 2.95it/s] 93%|█████████▎| 14/15 [00:04<00:00, 2.96it/s] 100%|██████████| 15/15 [00:05<00:00, 2.97it/s] 100%|██████████| 15/15 [00:05<00:00, 2.89it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 4.1ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:04, 2.93it/s] 13%|█▎ | 2/15 [00:00<00:04, 2.96it/s] 20%|██ | 3/15 [00:01<00:04, 2.96it/s] 27%|██▋ | 4/15 [00:01<00:03, 2.98it/s] 33%|███▎ | 5/15 [00:01<00:03, 2.95it/s] 40%|████ | 6/15 [00:02<00:03, 2.96it/s] 47%|████▋ | 7/15 [00:02<00:02, 2.76it/s] 53%|█████▎ | 8/15 [00:02<00:02, 2.83it/s] 60%|██████ | 9/15 [00:03<00:02, 2.87it/s] 67%|██████▋ | 10/15 [00:03<00:01, 2.91it/s] 73%|███████▎ | 11/15 [00:03<00:01, 2.89it/s] 80%|████████ | 12/15 [00:04<00:01, 2.91it/s] 87%|████████▋ | 13/15 [00:04<00:00, 2.92it/s] 93%|█████████▎| 14/15 [00:04<00:00, 2.93it/s] 100%|██████████| 15/15 [00:05<00:00, 2.89it/s] 100%|██████████| 15/15 [00:05<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:04, 2.99it/s] 13%|█▎ | 2/15 [00:00<00:04, 3.00it/s] 20%|██ | 3/15 [00:01<00:04, 2.98it/s] 27%|██▋ | 4/15 [00:01<00:03, 2.97it/s] 33%|███▎ | 5/15 [00:01<00:03, 2.97it/s] 40%|████ | 6/15 [00:02<00:03, 2.96it/s] 47%|████▋ | 7/15 [00:02<00:02, 2.96it/s] 53%|█████▎ | 8/15 [00:02<00:02, 2.93it/s] 60%|██████ | 9/15 [00:03<00:02, 2.93it/s] 67%|██████▋ | 10/15 [00:03<00:01, 2.94it/s] 73%|███████▎ | 11/15 [00:03<00:01, 2.94it/s] 80%|████████ | 12/15 [00:04<00:01, 2.94it/s] 87%|████████▋ | 13/15 [00:04<00:00, 2.95it/s] 93%|█████████▎| 14/15 [00:04<00:00, 2.95it/s] 100%|██████████| 15/15 [00:05<00:00, 2.75it/s] 100%|██████████| 15/15 [00:05<00:00, 2.90it/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,score_6_up, score_5_up, 1girl, big breasts, blond hair, black jacket, white sweater, jeans, bar,
negative_prompt
Specify things to not see in the output
score_1, score_2, score_3, score_4, source_furry, bad, low res, blurry, bad hands, broken hands, watermark, crowd,
Pony_DetailV20
Pony Detail V20
1
EnvyAwesomizeXL01
Envy Awesomize Xl01
0
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.
1630930232
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
35
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/37c78b63671b4ea299b34f927fd8b560/output-64f06478f1744e47be497fa0e0a5dce1-00000-1630930232.webp
https://files.tungsten.run/uploads/e693aa2d27a749adbeb00a55200eaf05/output-079c5794bd20439bacbe692b2a50c44a-00001-1630930233.webp
https://files.tungsten.run/uploads/e302fb78aa554fbaa587876aec9cddc8/output-7c877363c5c246f6a196a7a5e93de375-00002-1630930234.webp
Finished in 66.0 seconds
Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: score_9, score_8_up, score_7_up,score_6_up, score_5_up, 1girl, big breasts, blond hair, black jacket, white sweater, jeans, bar,, <lora:Pony_DetailV2.0:1.0> Full negative prompt: score_1, score_2, score_3, score_4, source_furry, bad, low res, blurry, bad hands, broken hands, watermark, crowd, 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:02<01:12, 2.14s/it] 6%|▌ | 2/35 [00:03<00:47, 1.44s/it] 9%|▊ | 3/35 [00:04<00:38, 1.22s/it] 11%|█▏ | 4/35 [00:04<00:34, 1.11s/it] 14%|█▍ | 5/35 [00:05<00:31, 1.05s/it] 17%|█▋ | 6/35 [00:06<00:29, 1.02s/it] 20%|██ | 7/35 [00:07<00:27, 1.00it/s] 23%|██▎ | 8/35 [00:08<00:26, 1.02it/s] 26%|██▌ | 9/35 [00:09<00:25, 1.03it/s] 29%|██▊ | 10/35 [00:10<00:24, 1.03it/s] 31%|███▏ | 11/35 [00:11<00:23, 1.03it/s] 34%|███▍ | 12/35 [00:12<00:22, 1.04it/s] 37%|███▋ | 13/35 [00:13<00:21, 1.04it/s] 40%|████ | 14/35 [00:14<00:20, 1.04it/s] 43%|████▎ | 15/35 [00:15<00:19, 1.04it/s] 46%|████▌ | 16/35 [00:16<00:18, 1.04it/s] 49%|████▊ | 17/35 [00:17<00:17, 1.04it/s] 51%|█████▏ | 18/35 [00:18<00:16, 1.04it/s] 54%|█████▍ | 19/35 [00:19<00:15, 1.04it/s] 57%|█████▋ | 20/35 [00:20<00:14, 1.04it/s] 60%|██████ | 21/35 [00:21<00:13, 1.04it/s] 63%|██████▎ | 22/35 [00:22<00:12, 1.04it/s] 66%|██████▌ | 23/35 [00:23<00:11, 1.04it/s] 69%|██████▊ | 24/35 [00:24<00:10, 1.04it/s] 71%|███████▏ | 25/35 [00:25<00:09, 1.04it/s] 74%|███████▍ | 26/35 [00:26<00:08, 1.04it/s] 77%|███████▋ | 27/35 [00:27<00:07, 1.04it/s] 80%|████████ | 28/35 [00:27<00:06, 1.04it/s] 83%|████████▎ | 29/35 [00:28<00:05, 1.04it/s] 86%|████████▌ | 30/35 [00:29<00:04, 1.04it/s] 89%|████████▊ | 31/35 [00:30<00:03, 1.04it/s] 91%|█████████▏| 32/35 [00:31<00:02, 1.04it/s] 94%|█████████▍| 33/35 [00:32<00:01, 1.04it/s] 97%|█████████▋| 34/35 [00:33<00:00, 1.04it/s] 100%|██████████| 35/35 [00:34<00:00, 1.05it/s] 100%|██████████| 35/35 [00:34<00:00, 1.01it/s] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.6ms Speed: 3.6ms preprocess, 157.6ms inference, 32.6ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:06, 2.27it/s] 13%|█▎ | 2/15 [00:00<00:04, 2.63it/s] 20%|██ | 3/15 [00:01<00:04, 2.77it/s] 27%|██▋ | 4/15 [00:01<00:03, 2.83it/s] 33%|███▎ | 5/15 [00:01<00:03, 2.85it/s] 40%|████ | 6/15 [00:02<00:03, 2.90it/s] 47%|████▋ | 7/15 [00:02<00:02, 2.92it/s] 53%|█████▎ | 8/15 [00:02<00:02, 2.91it/s] 60%|██████ | 9/15 [00:03<00:02, 2.93it/s] 67%|██████▋ | 10/15 [00:03<00:01, 2.92it/s] 73%|███████▎ | 11/15 [00:03<00:01, 2.90it/s] 80%|████████ | 12/15 [00:04<00:01, 2.93it/s] 87%|████████▋ | 13/15 [00:04<00:00, 2.95it/s] 93%|█████████▎| 14/15 [00:04<00:00, 2.96it/s] 100%|██████████| 15/15 [00:05<00:00, 2.97it/s] 100%|██████████| 15/15 [00:05<00:00, 2.89it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.2ms Speed: 4.1ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:04, 2.93it/s] 13%|█▎ | 2/15 [00:00<00:04, 2.96it/s] 20%|██ | 3/15 [00:01<00:04, 2.96it/s] 27%|██▋ | 4/15 [00:01<00:03, 2.98it/s] 33%|███▎ | 5/15 [00:01<00:03, 2.95it/s] 40%|████ | 6/15 [00:02<00:03, 2.96it/s] 47%|████▋ | 7/15 [00:02<00:02, 2.76it/s] 53%|█████▎ | 8/15 [00:02<00:02, 2.83it/s] 60%|██████ | 9/15 [00:03<00:02, 2.87it/s] 67%|██████▋ | 10/15 [00:03<00:01, 2.91it/s] 73%|███████▎ | 11/15 [00:03<00:01, 2.89it/s] 80%|████████ | 12/15 [00:04<00:01, 2.91it/s] 87%|████████▋ | 13/15 [00:04<00:00, 2.92it/s] 93%|█████████▎| 14/15 [00:04<00:00, 2.93it/s] 100%|██████████| 15/15 [00:05<00:00, 2.89it/s] 100%|██████████| 15/15 [00:05<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:00<00:04, 2.99it/s] 13%|█▎ | 2/15 [00:00<00:04, 3.00it/s] 20%|██ | 3/15 [00:01<00:04, 2.98it/s] 27%|██▋ | 4/15 [00:01<00:03, 2.97it/s] 33%|███▎ | 5/15 [00:01<00:03, 2.97it/s] 40%|████ | 6/15 [00:02<00:03, 2.96it/s] 47%|████▋ | 7/15 [00:02<00:02, 2.96it/s] 53%|█████▎ | 8/15 [00:02<00:02, 2.93it/s] 60%|██████ | 9/15 [00:03<00:02, 2.93it/s] 67%|██████▋ | 10/15 [00:03<00:01, 2.94it/s] 73%|███████▎ | 11/15 [00:03<00:01, 2.94it/s] 80%|████████ | 12/15 [00:04<00:01, 2.94it/s] 87%|████████▋ | 13/15 [00:04<00:00, 2.95it/s] 93%|█████████▎| 14/15 [00:04<00:00, 2.95it/s] 100%|██████████| 15/15 [00:05<00:00, 2.75it/s] 100%|██████████| 15/15 [00:05<00:00, 2.90it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s Uploading files.. Finished.