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Sexy Athletes Run Diffusion XL
run-diffusion-xl:v1.0
evevalentine2017
evevalentine2017
·
Jan 30
363
Input
prompt
Specify things to see in the output
analog film, Photo of 1 sexy athlete in sport bra, (wide hips), (sneakers:1.5), (abs), (belly), running across the street, art by J.C. Leyendecker, Canon 5d Mark 4, Kodak Ektar,
negative_prompt
Specify things to not see in the output
cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w,
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
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.
3289176403
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
Restart
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/7373d306eadf4345bcccb660079820f1/00000-3289176403.webp
https://files.tungsten.run/uploads/a508ae5c75b54d2b979cfa697aee37bd/00001-3289176404.webp
https://files.tungsten.run/uploads/5e0b2d39c4ad44ebb61201b6c1f18049/00002-3289176405.webp
Finished in 95.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: analog film, Photo of 1 sexy athlete in sport bra, (wide hips), (sneakers:1.5), (abs), (belly), running across the street, art by J.C. Leyendecker, Canon 5d Mark 4, Kodak Ektar, Full negative prompt: cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:53, 2.79s/it] 10%|█ | 2/20 [00:05<00:50, 2.80s/it] 15%|█▌ | 3/20 [00:08<00:47, 2.80s/it] 20%|██ | 4/20 [00:11<00:44, 2.81s/it] 25%|██▌ | 5/20 [00:14<00:42, 2.82s/it] 30%|███ | 6/20 [00:16<00:39, 2.83s/it] 35%|███▌ | 7/20 [00:19<00:36, 2.84s/it] 40%|████ | 8/20 [00:22<00:34, 2.84s/it] 45%|████▌ | 9/20 [00:25<00:31, 2.85s/it] 50%|█████ | 10/20 [00:28<00:28, 2.85s/it] 55%|█████▌ | 11/20 [00:31<00:25, 2.85s/it] 60%|██████ | 12/20 [00:34<00:22, 2.84s/it] 65%|██████▌ | 13/20 [00:36<00:19, 2.84s/it] 70%|███████ | 14/20 [00:39<00:16, 2.83s/it] 75%|███████▌ | 15/20 [00:42<00:14, 2.83s/it] 80%|████████ | 16/20 [00:45<00:11, 2.82s/it] 85%|████████▌ | 17/20 [00:48<00:08, 2.81s/it] 90%|█████████ | 18/20 [00:50<00:05, 2.80s/it] 95%|█████████▌| 19/20 [00:53<00:02, 2.80s/it] 100%|██████████| 20/20 [00:55<00:00, 2.38s/it] 100%|██████████| 20/20 [00:55<00:00, 2.75s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.1ms Speed: 3.6ms preprocess, 8.1ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.13it/s] 20%|██ | 2/10 [00:01<00:06, 1.17it/s] 30%|███ | 3/10 [00:02<00:05, 1.18it/s] 40%|████ | 4/10 [00:03<00:05, 1.19it/s] 50%|█████ | 5/10 [00:04<00:04, 1.19it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.20it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.20it/s] 100%|██████████| 10/10 [00:07<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.25it/s] 20%|██ | 2/10 [00:01<00:06, 1.21it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:05, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.20it/s] 60%|██████ | 6/10 [00:04<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.19it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.19it/s] 100%|██████████| 10/10 [00:07<00:00, 1.41it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.24it/s] 20%|██ | 2/10 [00:01<00:06, 1.20it/s] 30%|███ | 3/10 [00:02<00:05, 1.19it/s] 40%|████ | 4/10 [00:03<00:05, 1.19it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.18it/s] 70%|███████ | 7/10 [00:05<00:02, 1.18it/s] 80%|████████ | 8/10 [00:06<00:01, 1.18it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.18it/s] 100%|██████████| 10/10 [00:08<00:00, 1.39it/s] 100%|██████████| 10/10 [00:08<00:00, 1.25it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
analog film, Photo of 1 sexy athlete in sport bra, (wide hips), (sneakers:1.5), (abs), (belly), running across the street, art by J.C. Leyendecker, Canon 5d Mark 4, Kodak Ektar,
negative_prompt
Specify things to not see in the output
cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w,
num_outputs
Number of output images
3
width
Output image width
1024
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
0.45
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.
3289176403
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
Restart
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/7373d306eadf4345bcccb660079820f1/00000-3289176403.webp
https://files.tungsten.run/uploads/a508ae5c75b54d2b979cfa697aee37bd/00001-3289176404.webp
https://files.tungsten.run/uploads/5e0b2d39c4ad44ebb61201b6c1f18049/00002-3289176405.webp
Finished in 95.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: analog film, Photo of 1 sexy athlete in sport bra, (wide hips), (sneakers:1.5), (abs), (belly), running across the street, art by J.C. Leyendecker, Canon 5d Mark 4, Kodak Ektar, Full negative prompt: cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:53, 2.79s/it] 10%|█ | 2/20 [00:05<00:50, 2.80s/it] 15%|█▌ | 3/20 [00:08<00:47, 2.80s/it] 20%|██ | 4/20 [00:11<00:44, 2.81s/it] 25%|██▌ | 5/20 [00:14<00:42, 2.82s/it] 30%|███ | 6/20 [00:16<00:39, 2.83s/it] 35%|███▌ | 7/20 [00:19<00:36, 2.84s/it] 40%|████ | 8/20 [00:22<00:34, 2.84s/it] 45%|████▌ | 9/20 [00:25<00:31, 2.85s/it] 50%|█████ | 10/20 [00:28<00:28, 2.85s/it] 55%|█████▌ | 11/20 [00:31<00:25, 2.85s/it] 60%|██████ | 12/20 [00:34<00:22, 2.84s/it] 65%|██████▌ | 13/20 [00:36<00:19, 2.84s/it] 70%|███████ | 14/20 [00:39<00:16, 2.83s/it] 75%|███████▌ | 15/20 [00:42<00:14, 2.83s/it] 80%|████████ | 16/20 [00:45<00:11, 2.82s/it] 85%|████████▌ | 17/20 [00:48<00:08, 2.81s/it] 90%|█████████ | 18/20 [00:50<00:05, 2.80s/it] 95%|█████████▌| 19/20 [00:53<00:02, 2.80s/it] 100%|██████████| 20/20 [00:55<00:00, 2.38s/it] 100%|██████████| 20/20 [00:55<00:00, 2.75s/it] Decoding latents in cuda:0... done in 2.44s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 8.1ms Speed: 3.6ms preprocess, 8.1ms inference, 33.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.13it/s] 20%|██ | 2/10 [00:01<00:06, 1.17it/s] 30%|███ | 3/10 [00:02<00:05, 1.18it/s] 40%|████ | 4/10 [00:03<00:05, 1.19it/s] 50%|█████ | 5/10 [00:04<00:04, 1.19it/s] 60%|██████ | 6/10 [00:05<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.20it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.20it/s] 100%|██████████| 10/10 [00:07<00:00, 1.42it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.1ms preprocess, 7.5ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.25it/s] 20%|██ | 2/10 [00:01<00:06, 1.21it/s] 30%|███ | 3/10 [00:02<00:05, 1.20it/s] 40%|████ | 4/10 [00:03<00:05, 1.20it/s] 50%|█████ | 5/10 [00:04<00:04, 1.20it/s] 60%|██████ | 6/10 [00:04<00:03, 1.20it/s] 70%|███████ | 7/10 [00:05<00:02, 1.20it/s] 80%|████████ | 8/10 [00:06<00:01, 1.19it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.19it/s] 100%|██████████| 10/10 [00:07<00:00, 1.41it/s] 100%|██████████| 10/10 [00:07<00:00, 1.26it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.3ms Speed: 3.1ms preprocess, 7.3ms inference, 1.6ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:07, 1.24it/s] 20%|██ | 2/10 [00:01<00:06, 1.20it/s] 30%|███ | 3/10 [00:02<00:05, 1.19it/s] 40%|████ | 4/10 [00:03<00:05, 1.19it/s] 50%|█████ | 5/10 [00:04<00:04, 1.18it/s] 60%|██████ | 6/10 [00:05<00:03, 1.18it/s] 70%|███████ | 7/10 [00:05<00:02, 1.18it/s] 80%|████████ | 8/10 [00:06<00:01, 1.18it/s] 90%|█████████ | 9/10 [00:07<00:00, 1.18it/s] 100%|██████████| 10/10 [00:08<00:00, 1.39it/s] 100%|██████████| 10/10 [00:08<00:00, 1.25it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s Uploading outputs... Finished.