ggponb
ggponb
6 stars
Version: v1.0
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
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/69fb46dd340b48dd8b3587c96f869350/00000-2889281281.webp
https://files.tungsten.run/uploads/7a6607e270ef4c488f68b2739a2d45bd/00001-2889281282.webp
https://files.tungsten.run/uploads/985a2629d2234fc08cd668d05cb14ef3/00002-2889281283.webp
https://files.tungsten.run/uploads/b1cd76d2c3884800824c564be31268ab/00003-2889281284.webp
This example was created by evevalentine2017
Finished in 30.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 20 yers old girl, night sky, sleeveless dress, sky, pink_hair, short_hair, striped_shirt, full_body, shirt, open_mouth, (holding microphone), android, lights & shadows, volumetric light, shiny skin, glossy skin, bhands, <lora:more_details:0.8>, , <lora:add_brightness:0.2>, <lora:add_saturation:-0.52> Full negative prompt: ((missing microphone)), ((multiple girls)), ((nipples:1.5)), nsfw, topless, ((more than 1 girl:1.5)), ((side view:1.5)), ((front view:1.5)), above view, (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 hands:1.5), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:16, 1.30s/it] 14%|█▍ | 2/14 [00:01<00:11, 1.09it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.26it/s] 29%|██▊ | 4/14 [00:03<00:07, 1.35it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.41it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.45it/s] 50%|█████ | 7/14 [00:05<00:04, 1.47it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.48it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.49it/s] 71%|███████▏ | 10/14 [00:07<00:02, 1.50it/s] 79%|███████▊ | 11/14 [00:07<00:01, 1.50it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.51it/s] 93%|█████████▎| 13/14 [00:09<00:00, 1.51it/s] 100%|██████████| 14/14 [00:09<00:00, 1.52it/s] 100%|██████████| 14/14 [00:09<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 34.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.37it/s] 29%|██▊ | 2/7 [00:00<00:01, 3.37it/s] 43%|████▎ | 3/7 [00:00<00:01, 3.86it/s] 57%|█████▋ | 4/7 [00:01<00:00, 4.18it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.34it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.52it/s] 100%|██████████| 7/7 [00:01<00:00, 4.68it/s] 100%|██████████| 7/7 [00:01<00:00, 4.19it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.86it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.88it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.85it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.81it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.75it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.77it/s] 100%|██████████| 7/7 [00:01<00:00, 4.85it/s] 100%|██████████| 7/7 [00:01<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.75it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.77it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.79it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.83it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.77it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.68it/s] 100%|██████████| 7/7 [00:01<00:00, 4.74it/s] 100%|██████████| 7/7 [00:01<00:00, 4.75it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.80it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.71it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.70it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.73it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.71it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.76it/s] 100%|██████████| 7/7 [00:01<00:00, 4.77it/s] 100%|██████████| 7/7 [00:01<00:00, 4.75it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
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
saturation
Adjust saturation
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/69fb46dd340b48dd8b3587c96f869350/00000-2889281281.webp
https://files.tungsten.run/uploads/7a6607e270ef4c488f68b2739a2d45bd/00001-2889281282.webp
https://files.tungsten.run/uploads/985a2629d2234fc08cd668d05cb14ef3/00002-2889281283.webp
https://files.tungsten.run/uploads/b1cd76d2c3884800824c564be31268ab/00003-2889281284.webp
This example was created by evevalentine2017
Finished in 30.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: 20 yers old girl, night sky, sleeveless dress, sky, pink_hair, short_hair, striped_shirt, full_body, shirt, open_mouth, (holding microphone), android, lights & shadows, volumetric light, shiny skin, glossy skin, bhands, <lora:more_details:0.8>, , <lora:add_brightness:0.2>, <lora:add_saturation:-0.52> Full negative prompt: ((missing microphone)), ((multiple girls)), ((nipples:1.5)), nsfw, topless, ((more than 1 girl:1.5)), ((side view:1.5)), ((front view:1.5)), above view, (more than 2 arms), ((more than 2 legs:1.5)), (more than 2 hands:1.5), (more than 2 shoes:1), (bad-picture-chill-75v:1), (EasyNegativeV2:1), (bhands-neg:1), (worst quality:2), (low quality:2), (normal quality:2), lowres, bad anatomy, bad hands, ((monochrome)), ((grayscale)) watermark, moles, (large breasts), (big breasts) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:01<00:16, 1.30s/it] 14%|█▍ | 2/14 [00:01<00:11, 1.09it/s] 21%|██▏ | 3/14 [00:02<00:08, 1.26it/s] 29%|██▊ | 4/14 [00:03<00:07, 1.35it/s] 36%|███▌ | 5/14 [00:03<00:06, 1.41it/s] 43%|████▎ | 6/14 [00:04<00:05, 1.45it/s] 50%|█████ | 7/14 [00:05<00:04, 1.47it/s] 57%|█████▋ | 8/14 [00:05<00:04, 1.48it/s] 64%|██████▍ | 9/14 [00:06<00:03, 1.49it/s] 71%|███████▏ | 10/14 [00:07<00:02, 1.50it/s] 79%|███████▊ | 11/14 [00:07<00:01, 1.50it/s] 86%|████████▌ | 12/14 [00:08<00:01, 1.51it/s] 93%|█████████▎| 13/14 [00:09<00:00, 1.51it/s] 100%|██████████| 14/14 [00:09<00:00, 1.52it/s] 100%|██████████| 14/14 [00:09<00:00, 1.42it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 34.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:02, 2.37it/s] 29%|██▊ | 2/7 [00:00<00:01, 3.37it/s] 43%|████▎ | 3/7 [00:00<00:01, 3.86it/s] 57%|█████▋ | 4/7 [00:01<00:00, 4.18it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.34it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.52it/s] 100%|██████████| 7/7 [00:01<00:00, 4.68it/s] 100%|██████████| 7/7 [00:01<00:00, 4.19it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.86it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.88it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.85it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.81it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.75it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.77it/s] 100%|██████████| 7/7 [00:01<00:00, 4.85it/s] 100%|██████████| 7/7 [00:01<00:00, 4.82it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.75it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.77it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.79it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.83it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.77it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.68it/s] 100%|██████████| 7/7 [00:01<00:00, 4.74it/s] 100%|██████████| 7/7 [00:01<00:00, 4.75it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 2.9ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/7 [00:00<?, ?it/s] 14%|█▍ | 1/7 [00:00<00:01, 4.80it/s] 29%|██▊ | 2/7 [00:00<00:01, 4.71it/s] 43%|████▎ | 3/7 [00:00<00:00, 4.70it/s] 57%|█████▋ | 4/7 [00:00<00:00, 4.73it/s] 71%|███████▏ | 5/7 [00:01<00:00, 4.71it/s] 86%|████████▌ | 6/7 [00:01<00:00, 4.76it/s] 100%|██████████| 7/7 [00:01<00:00, 4.77it/s] 100%|██████████| 7/7 [00:01<00:00, 4.75it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.