sdxl-vanilla
sdxl-vanilla
15 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
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/848ea693a88a4879b15c103ef2d58a83/00000-2802371157.webp
https://files.tungsten.run/uploads/26cf2587774f4fda9a3351380a4284c1/00001-2802371158.webp
https://files.tungsten.run/uploads/a510a25a22bc413bb9e448a8404a356c/00002-2802371159.webp
This example was created by sparks
Finished in 33.4 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2802371157 Full prompt: masterpiece, ultra realistic, 1girl, high quality photo, huge breasts, white lace bra, white lace panty, white lace garter belt, white stockings, white high heels, white lace gloves, full body shot, in a bedroom, ambient light, best shadows, 4K, <lora:add-detail-xl:1.5> Full negative prompt: cartoon, cgi, painting, text, extra legs, extra arms, extra hands, dismembered limbs 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.24s/it] 20%|██ | 2/10 [00:03<00:12, 1.51s/it] 30%|███ | 3/10 [00:04<00:08, 1.27s/it] 40%|████ | 4/10 [00:05<00:06, 1.16s/it] 50%|█████ | 5/10 [00:06<00:05, 1.10s/it] 60%|██████ | 6/10 [00:07<00:04, 1.07s/it] 70%|███████ | 7/10 [00:08<00:03, 1.05s/it] 80%|████████ | 8/10 [00:09<00:02, 1.04s/it] 90%|█████████ | 9/10 [00:10<00:01, 1.03s/it] 100%|██████████| 10/10 [00:11<00:00, 1.02s/it] 100%|██████████| 10/10 [00:11<00:00, 1.12s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.8ms Speed: 2.5ms preprocess, 160.8ms inference, 26.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.12it/s] 50%|█████ | 2/4 [00:00<00:00, 2.52it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.64it/s] 100%|██████████| 4/4 [00:01<00:00, 2.71it/s] 100%|██████████| 4/4 [00:01<00:00, 2.62it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.2ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.81it/s] 50%|█████ | 2/4 [00:00<00:00, 2.81it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.77it/s] 100%|██████████| 4/4 [00:01<00:00, 2.81it/s] 100%|██████████| 4/4 [00:01<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.86it/s] 50%|█████ | 2/4 [00:00<00:00, 2.88it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.85it/s] 100%|██████████| 4/4 [00:01<00:00, 2.85it/s] 100%|██████████| 4/4 [00:01<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.58s 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
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/848ea693a88a4879b15c103ef2d58a83/00000-2802371157.webp
https://files.tungsten.run/uploads/26cf2587774f4fda9a3351380a4284c1/00001-2802371158.webp
https://files.tungsten.run/uploads/a510a25a22bc413bb9e448a8404a356c/00002-2802371159.webp
This example was created by sparks
Finished in 33.4 seconds
Setting up the model... Preparing inputs... Processing... Using seed 2802371157 Full prompt: masterpiece, ultra realistic, 1girl, high quality photo, huge breasts, white lace bra, white lace panty, white lace garter belt, white stockings, white high heels, white lace gloves, full body shot, in a bedroom, ambient light, best shadows, 4K, <lora:add-detail-xl:1.5> Full negative prompt: cartoon, cgi, painting, text, extra legs, extra arms, extra hands, dismembered limbs 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:02<00:20, 2.24s/it] 20%|██ | 2/10 [00:03<00:12, 1.51s/it] 30%|███ | 3/10 [00:04<00:08, 1.27s/it] 40%|████ | 4/10 [00:05<00:06, 1.16s/it] 50%|█████ | 5/10 [00:06<00:05, 1.10s/it] 60%|██████ | 6/10 [00:07<00:04, 1.07s/it] 70%|███████ | 7/10 [00:08<00:03, 1.05s/it] 80%|████████ | 8/10 [00:09<00:02, 1.04s/it] 90%|█████████ | 9/10 [00:10<00:01, 1.03s/it] 100%|██████████| 10/10 [00:11<00:00, 1.02s/it] 100%|██████████| 10/10 [00:11<00:00, 1.12s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 160.8ms Speed: 2.5ms preprocess, 160.8ms inference, 26.8ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.12it/s] 50%|█████ | 2/4 [00:00<00:00, 2.52it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.64it/s] 100%|██████████| 4/4 [00:01<00:00, 2.71it/s] 100%|██████████| 4/4 [00:01<00:00, 2.62it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.4ms Speed: 2.2ms preprocess, 8.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.81it/s] 50%|█████ | 2/4 [00:00<00:00, 2.81it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.77it/s] 100%|██████████| 4/4 [00:01<00:00, 2.81it/s] 100%|██████████| 4/4 [00:01<00:00, 2.80it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 7.9ms Speed: 2.4ms preprocess, 7.9ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:00<00:01, 2.86it/s] 50%|█████ | 2/4 [00:00<00:00, 2.88it/s] 75%|███████▌ | 3/4 [00:01<00:00, 2.85it/s] 100%|██████████| 4/4 [00:01<00:00, 2.85it/s] 100%|██████████| 4/4 [00:01<00:00, 2.85it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.