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Kiss me Croc with RePhantasia Turbo XL
rephantasia-turbo-xl:lightning
evevalentine2017
evevalentine2017
·
Mar 1
378
Input
prompt
Specify things to see in the output
A crocodile, (cute, charming, coquettish, with charming expression and eyes), by the swamp, (holding a sign with the word "Kiss Me":1.5), concept art, digital artwork, illustrative, painterly, matte painting, highly detailed,
negative_prompt
Specify things to not see in the output
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.
24
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
samping_steps
Number of denoising steps
4
cfg_scale
Scale for classifier-free guidance
1.7
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/c49e205ad8c8477d986d7b787909216b/00000-24.webp
https://files.tungsten.run/uploads/a203ade51b8640b295654eda7f861be1/00001-25.webp
https://files.tungsten.run/uploads/8c1d1bbbf92842b7aa55235710308d74/00002-26.webp
Finished in 21.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A crocodile, (cute, charming, coquettish, with charming expression and eyes), by the swamp, (holding a sign with the word "Kiss Me":1.5), concept art, digital artwork, illustrative, painterly, matte painting, highly detailed, Full negative prompt: 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:03<00:09, 3.16s/it] 50%|█████ | 2/4 [00:07<00:07, 3.69s/it] 75%|███████▌ | 3/4 [00:10<00:03, 3.33s/it] 100%|██████████| 4/4 [00:11<00:00, 2.41s/it] 100%|██████████| 4/4 [00:11<00:00, 2.78s/it] Decoding latents in cuda:0... done in 1.79s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 168.6ms Speed: 3.2ms preprocess, 168.6ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 8.2ms Speed: 2.5ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
A crocodile, (cute, charming, coquettish, with charming expression and eyes), by the swamp, (holding a sign with the word "Kiss Me":1.5), concept art, digital artwork, illustrative, painterly, matte painting, highly detailed,
negative_prompt
Specify things to not see in the output
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.
24
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
samping_steps
Number of denoising steps
4
cfg_scale
Scale for classifier-free guidance
1.7
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/c49e205ad8c8477d986d7b787909216b/00000-24.webp
https://files.tungsten.run/uploads/a203ade51b8640b295654eda7f861be1/00001-25.webp
https://files.tungsten.run/uploads/8c1d1bbbf92842b7aa55235710308d74/00002-26.webp
Finished in 21.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A crocodile, (cute, charming, coquettish, with charming expression and eyes), by the swamp, (holding a sign with the word "Kiss Me":1.5), concept art, digital artwork, illustrative, painterly, matte painting, highly detailed, Full negative prompt: 0%| | 0/4 [00:00<?, ?it/s] 25%|██▌ | 1/4 [00:03<00:09, 3.16s/it] 50%|█████ | 2/4 [00:07<00:07, 3.69s/it] 75%|███████▌ | 3/4 [00:10<00:03, 3.33s/it] 100%|██████████| 4/4 [00:11<00:00, 2.41s/it] 100%|██████████| 4/4 [00:11<00:00, 2.78s/it] Decoding latents in cuda:0... done in 1.79s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 168.6ms Speed: 3.2ms preprocess, 168.6ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 8.2ms Speed: 2.5ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.