Bikinis with Bloom Turbo XL
Input
prompt
Specify things to see in the output
hot, polish, mesh office, (cameltoe [woman:girl:0.767]) cinematic sunshine, bikini, publicpool, long haircolor, <lora:sdxl_offset:0.3>
negative_prompt
Specify things to not see in the output
nude, nudity, nipples, nsfw, topless, bottomless, (low quality, worst quality:1.2), lowres, multiple views, border, (grayscale, grainy), (watermark, signature, text:1.1), underexposed, overexposed, oversaturated, low saturation, epiCNegative
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
0.45
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.
721844428
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.
1.5
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
4
cfg_scale
Scale for classifier-free guidance
1.4
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/83d9031bab50457d8826b357782a1077/00000-721844428.webp
https://files.tungsten.run/uploads/de43518797db439eaf82c65482514f00/00001-721844429.webp
https://files.tungsten.run/uploads/7748e8e5cdc84350b7916356cebd578f/00002-721844430.webp
Finished in 36.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: hot, polish, mesh office, (cameltoe [woman:girl:0.767]) cinematic sunshine, bikini, publicpool, long haircolor, <lora:sdxl_offset:0.3> Full negative prompt: nude, nudity, nipples, nsfw, topless, bottomless, (low quality, worst quality:1.2), lowres, multiple views, border, (grayscale, grainy), (watermark, signature, text:1.1), underexposed, overexposed, oversaturated, low saturation, epiCNegative 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:04<00:13, 4.51s/it] 50%|█████ | 2/4 [00:08<00:08, 4.24s/it] 75%|███████▌ | 3/4 [00:11<00:03, 3.59s/it] 100%|██████████| 4/4 [00:12<00:00, 2.55s/it] 100%|██████████| 4/4 [00:12<00:00, 3.08s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.2ms Speed: 3.0ms preprocess, 163.2ms inference, 21.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.90s/it] 100%|██████████| 2/2 [00:02<00:00, 1.10s/it] 100%|██████████| 2/2 [00:02<00:00, 1.22s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 13.1ms Speed: 4.0ms preprocess, 13.1ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.46s/it] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] 100%|██████████| 2/2 [00:01<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 10.8ms Speed: 3.0ms preprocess, 10.8ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.16s/it] 100%|██████████| 2/2 [00:01<00:00, 1.50it/s] 100%|██████████| 2/2 [00:01<00:00, 1.35it/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
hot, polish, mesh office, (cameltoe [woman:girl:0.767]) cinematic sunshine, bikini, publicpool, long haircolor, <lora:sdxl_offset:0.3>
negative_prompt
Specify things to not see in the output
nude, nudity, nipples, nsfw, topless, bottomless, (low quality, worst quality:1.2), lowres, multiple views, border, (grayscale, grainy), (watermark, signature, text:1.1), underexposed, overexposed, oversaturated, low saturation, epiCNegative
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
0.45
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.
721844428
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.
1.5
sampler
Sampler type
DPM++ SDE Karras
samping_steps
Number of denoising steps
4
cfg_scale
Scale for classifier-free guidance
1.4
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/83d9031bab50457d8826b357782a1077/00000-721844428.webp
https://files.tungsten.run/uploads/de43518797db439eaf82c65482514f00/00001-721844429.webp
https://files.tungsten.run/uploads/7748e8e5cdc84350b7916356cebd578f/00002-721844430.webp
Finished in 36.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: hot, polish, mesh office, (cameltoe [woman:girl:0.767]) cinematic sunshine, bikini, publicpool, long haircolor, <lora:sdxl_offset:0.3> Full negative prompt: nude, nudity, nipples, nsfw, topless, bottomless, (low quality, worst quality:1.2), lowres, multiple views, border, (grayscale, grainy), (watermark, signature, text:1.1), underexposed, overexposed, oversaturated, low saturation, epiCNegative 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:04<00:13, 4.51s/it] 50%|█████ | 2/4 [00:08<00:08, 4.24s/it] 75%|███████▌ | 3/4 [00:11<00:03, 3.59s/it] 100%|██████████| 4/4 [00:12<00:00, 2.55s/it] 100%|██████████| 4/4 [00:12<00:00, 3.08s/it] Decoding latents in cuda:0... done in 1.74s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 163.2ms Speed: 3.0ms preprocess, 163.2ms inference, 21.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.90s/it] 100%|██████████| 2/2 [00:02<00:00, 1.10s/it] 100%|██████████| 2/2 [00:02<00:00, 1.22s/it] Decoding latents in cuda:0... done in 0.56s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 13.1ms Speed: 4.0ms preprocess, 13.1ms inference, 2.5ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.46s/it] 100%|██████████| 2/2 [00:01<00:00, 1.15it/s] 100%|██████████| 2/2 [00:01<00:00, 1.04it/s] Decoding latents in cuda:0... done in 0.57s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 10.8ms Speed: 3.0ms preprocess, 10.8ms inference, 2.2ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.16s/it] 100%|██████████| 2/2 [00:01<00:00, 1.50it/s] 100%|██████████| 2/2 [00:01<00:00, 1.35it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s Uploading outputs... Finished.