Chubby Queens with Cherry Picker XL

cherry-picker-xl:v2.7

evevalentine2017

Feb 9

369

Run this yourself

Input

prompt

Specify things to see in the output

Photorealistic, white girl, puffy cheeks, busty, big boobs, large boobs, huge boobs, very big boobs, tight boobs, big ass, fat ass, round ass, thick ass, huge ass, ass crack, big butt, fat butt, wide hips, voluptuous girl, hourglass figure, curvy, curvy hips, curvy thighs, curvy ass, female wizard, ornate wizard tiara, ornate open wizard robe, ornate embroidered cloth top, tight top, ornate cloth leggings, tight leggings, holding staff, tight underwear, breasts bursting out top, breasts squeeze together, cleavage, showing cleavage, dark fantasy library background, highest quality, highest detail, highest resolution, photorealistic

negative_prompt

Specify things to not see in the output

asian, desaturated, bad quality, worst quality, nsfw, cartoon, 3d, anime, illustration

num_outputs

Number of output images

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

brightness

Adjust brightness

contrast

Adjust contrast

seed

Same seed with the same prompt generates the same image. Set as -1 to randomize output.

1069567467

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.

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

DPM++ 2M Karras

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

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/799f41d81c83447f95011e5b1c8ee00c/00000-1069567467.webp

https://files.tungsten.run/uploads/4bfd8dc1aea94aa49077ac4f403e04f5/00001-1069567468.webp

https://files.tungsten.run/uploads/70c8a20b16d9448c8bf5688091519376/00002-1069567469.webp

Finished in 66.7 seconds

Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Photorealistic, white girl, puffy cheeks, busty, big boobs, large boobs, huge boobs, very big boobs, tight boobs, big ass, fat ass, round ass, thick ass, huge ass, ass crack, big butt, fat butt, wide hips, voluptuous girl, hourglass figure, curvy, curvy hips, curvy thighs, curvy ass, female wizard, ornate wizard tiara, ornate open wizard robe, ornate embroidered cloth top, tight top, ornate cloth leggings, tight leggings, holding staff, tight underwear, breasts bursting out top, breasts squeeze together, cleavage, showing cleavage, dark fantasy library background, highest quality, highest detail, highest resolution, photorealistic Full negative prompt: asian, desaturated, bad quality, worst quality, nsfw, cartoon, 3d, anime, illustration 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:25, 1.13it/s] 7%|▋ | 2/30 [00:01<00:23, 1.17it/s] 10%|█ | 3/30 [00:02<00:22, 1.18it/s] 13%|█▎ | 4/30 [00:03<00:21, 1.18it/s] 17%|█▋ | 5/30 [00:04<00:21, 1.18it/s] 20%|██ | 6/30 [00:05<00:20, 1.19it/s] 23%|██▎ | 7/30 [00:05<00:19, 1.19it/s] 27%|██▋ | 8/30 [00:06<00:18, 1.19it/s] 30%|███ | 9/30 [00:07<00:17, 1.19it/s] 33%|███▎ | 10/30 [00:08<00:16, 1.19it/s] 37%|███▋ | 11/30 [00:09<00:16, 1.19it/s] 40%|████ | 12/30 [00:10<00:15, 1.19it/s] 43%|████▎ | 13/30 [00:10<00:14, 1.19it/s] 47%|████▋ | 14/30 [00:11<00:13, 1.19it/s] 50%|█████ | 15/30 [00:12<00:12, 1.19it/s] 53%|█████▎ | 16/30 [00:13<00:11, 1.18it/s] 57%|█████▋ | 17/30 [00:14<00:10, 1.18it/s] 60%|██████ | 18/30 [00:15<00:10, 1.18it/s] 63%|██████▎ | 19/30 [00:16<00:09, 1.18it/s] 67%|██████▋ | 20/30 [00:16<00:08, 1.18it/s] 70%|███████ | 21/30 [00:17<00:07, 1.18it/s] 73%|███████▎ | 22/30 [00:18<00:06, 1.18it/s] 77%|███████▋ | 23/30 [00:19<00:05, 1.17it/s] 80%|████████ | 24/30 [00:20<00:05, 1.05it/s] 83%|████████▎ | 25/30 [00:21<00:05, 1.00s/it] 87%|████████▋ | 26/30 [00:22<00:03, 1.04it/s] 90%|█████████ | 27/30 [00:23<00:02, 1.01it/s] 93%|█████████▎| 28/30 [00:24<00:01, 1.03it/s] 97%|█████████▋| 29/30 [00:25<00:00, 1.07it/s] 100%|██████████| 30/30 [00:26<00:00, 1.10it/s] 100%|██████████| 30/30 [00:26<00:00, 1.14it/s] Decoding latents in cuda:0... done in 1.69s Move latents to cpu... done in 0.02s 0: 640x480 1 face, 157.7ms Speed: 2.5ms preprocess, 157.7ms inference, 28.0ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:09, 1.36it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.52it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.58it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.62it/s] 36%|███▌ | 5/14 [00:03<00:05, 1.63it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.63it/s] 50%|█████ | 7/14 [00:04<00:04, 1.61it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.63it/s] 64%|██████▍ | 9/14 [00:05<00:03, 1.64it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.62it/s] 79%|███████▊ | 11/14 [00:06<00:01, 1.62it/s] 86%|████████▌ | 12/14 [00:07<00:01, 1.59it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.57it/s] 100%|██████████| 14/14 [00:08<00:00, 1.60it/s] 100%|██████████| 14/14 [00:08<00:00, 1.60it/s] Decoding latents in cuda:0... done in 0.54s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.9ms Speed: 2.9ms preprocess, 8.9ms inference, 1.7ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:08, 1.57it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.60it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.61it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.61it/s] 36%|███▌ | 5/14 [00:03<00:05, 1.62it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.61it/s] 50%|█████ | 7/14 [00:04<00:04, 1.61it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.62it/s] 64%|██████▍ | 9/14 [00:05<00:03, 1.63it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.63it/s] 79%|███████▊ | 11/14 [00:06<00:01, 1.61it/s] 86%|████████▌ | 12/14 [00:07<00:01, 1.62it/s] 93%|█████████▎| 13/14 [00:08<00:00, 1.64it/s] 100%|██████████| 14/14 [00:08<00:00, 1.65it/s] 100%|██████████| 14/14 [00:08<00:00, 1.63it/s] Decoding latents in cuda:0... done in 0.54s Move latents to cpu... done in 0.0s 0: 640x480 1 face, 8.1ms Speed: 2.3ms preprocess, 8.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:07, 1.64it/s] 14%|█▍ | 2/14 [00:01<00:07, 1.66it/s] 21%|██▏ | 3/14 [00:01<00:06, 1.64it/s] 29%|██▊ | 4/14 [00:02<00:06, 1.65it/s] 36%|███▌ | 5/14 [00:03<00:05, 1.65it/s] 43%|████▎ | 6/14 [00:03<00:04, 1.61it/s] 50%|█████ | 7/14 [00:04<00:04, 1.63it/s] 57%|█████▋ | 8/14 [00:04<00:03, 1.62it/s] 64%|██████▍ | 9/14 [00:05<00:03, 1.64it/s] 71%|███████▏ | 10/14 [00:06<00:02, 1.64it/s] 79%|███████▊ | 11/14 [00:06<00:01, 1.65it/s] 86%|████████▌ | 12/14 [00:07<00:01, 1.64it/s] 93%|█████████▎| 13/14 [00:07<00:00, 1.65it/s] 100%|██████████| 14/14 [00:08<00:00, 1.65it/s] 100%|██████████| 14/14 [00:08<00:00, 1.64it/s] Decoding latents in cuda:0... done in 0.55s 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

asian, desaturated, bad quality, worst quality, nsfw, cartoon, 3d, anime, illustration

num_outputs

Number of output images

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

brightness

Adjust brightness

contrast

Adjust contrast

seed

Same seed with the same prompt generates the same image. Set as -1 to randomize output.

1069567467

input_image

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.

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

DPM++ 2M Karras

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

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

Finished in 66.7 seconds