Lemongrass Girl with CherrypickerXL-LCM
Input
prompt
Specify things to see in the output
highres, best quality, natural, Lemongrass girl dances amidst a field of golden sunshine, her slender figure swaying gracefully to the rhythm of a gentle breeze.
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1200
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1604432991
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
DPM++ SDE Karras
samping_steps
Number of denoising steps
4
cfg_scale
Scale for classifier-free guidance
2
clip_skip
The number of last layers of CLIP network to skip
1
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/2e464794572d4a58aa49978278907b14/00000-1604432991.webp
https://files.tungsten.run/uploads/5e4bdd11c9c247ef8d4cbec208f7d137/00001-1604432992.webp
https://files.tungsten.run/uploads/84ed7e05a896412fa060b5817ea2584c/00002-1604432993.webp
Finished in 56.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: highres, best quality, natural, Lemongrass girl dances amidst a field of golden sunshine, her slender figure swaying gracefully to the rhythm of a gentle breeze., <lora:add-detail-xl:1.5> Full negative prompt: 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:07<00:21, 7.04s/it] 50%|█████ | 2/4 [00:14<00:14, 7.37s/it] 75%|███████▌ | 3/4 [00:20<00:06, 6.50s/it] 100%|██████████| 4/4 [00:22<00:00, 4.69s/it] 100%|██████████| 4/4 [00:22<00:00, 5.51s/it] Decoding latents in cuda:0... done in 3.24s Move latents to cpu... done in 0.04s 0: 640x640 1 hand, 19.8ms Speed: 8.4ms preprocess, 19.8ms inference, 43.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:02<00:02, 2.01s/it] 100%|██████████| 2/2 [00:02<00:00, 1.17s/it] 100%|██████████| 2/2 [00:02<00:00, 1.29s/it] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 3.1ms preprocess, 7.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.72s/it] 100%|██████████| 2/2 [00:02<00:00, 1.05s/it] 100%|██████████| 2/2 [00:02<00:00, 1.15s/it] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.74s/it] 100%|██████████| 2/2 [00:02<00:00, 1.06s/it] 100%|██████████| 2/2 [00:02<00:00, 1.16s/it] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.73s/it] 100%|██████████| 2/2 [00:02<00:00, 1.06s/it] 100%|██████████| 2/2 [00:02<00:00, 1.16s/it] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
highres, best quality, natural, Lemongrass girl dances amidst a field of golden sunshine, her slender figure swaying gracefully to the rhythm of a gentle breeze.
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
3
width
Output image width
1200
height
Output image height
1200
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
true
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.3
detail
Enhance/diminish detail while keeping the overall style/character
1.5
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.
1604432991
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
DPM++ SDE Karras
samping_steps
Number of denoising steps
4
cfg_scale
Scale for classifier-free guidance
2
clip_skip
The number of last layers of CLIP network to skip
1
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/2e464794572d4a58aa49978278907b14/00000-1604432991.webp
https://files.tungsten.run/uploads/5e4bdd11c9c247ef8d4cbec208f7d137/00001-1604432992.webp
https://files.tungsten.run/uploads/84ed7e05a896412fa060b5817ea2584c/00002-1604432993.webp
Finished in 56.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: highres, best quality, natural, Lemongrass girl dances amidst a field of golden sunshine, her slender figure swaying gracefully to the rhythm of a gentle breeze., <lora:add-detail-xl:1.5> Full negative prompt: 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:07<00:21, 7.04s/it] 50%|█████ | 2/4 [00:14<00:14, 7.37s/it] 75%|███████▌ | 3/4 [00:20<00:06, 6.50s/it] 100%|██████████| 4/4 [00:22<00:00, 4.69s/it] 100%|██████████| 4/4 [00:22<00:00, 5.51s/it] Decoding latents in cuda:0... done in 3.24s Move latents to cpu... done in 0.04s 0: 640x640 1 hand, 19.8ms Speed: 8.4ms preprocess, 19.8ms inference, 43.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:02<00:02, 2.01s/it] 100%|██████████| 2/2 [00:02<00:00, 1.17s/it] 100%|██████████| 2/2 [00:02<00:00, 1.29s/it] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.2ms Speed: 3.1ms preprocess, 7.2ms inference, 2.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.72s/it] 100%|██████████| 2/2 [00:02<00:00, 1.05s/it] 100%|██████████| 2/2 [00:02<00:00, 1.15s/it] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.74s/it] 100%|██████████| 2/2 [00:02<00:00, 1.06s/it] 100%|██████████| 2/2 [00:02<00:00, 1.16s/it] Decoding latents in cuda:0... done in 1.07s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.4ms Speed: 3.2ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/2 [00:00<?, ?it/s] 50%|█████ | 1/2 [00:01<00:01, 1.73s/it] 100%|██████████| 2/2 [00:02<00:00, 1.06s/it] 100%|██████████| 2/2 [00:02<00:00, 1.16s/it] Decoding latents in cuda:0... done in 1.08s Move latents to cpu... done in 0.0s Uploading outputs... Finished.