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Mouses Holding Signs with Gravy SDXL
gravy-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Jun 29
3
Input
prompt
Specify things to see in the output
mouse holding a sign that says "give me cheese"
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.
4250195495
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++ 2M Karras
samping_steps
Number of denoising steps
16
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/8f814d86a0bd411d997bd3611af381e0/00000-4250195495.webp
https://files.tungsten.run/uploads/b666fa0b3a774cc5ab11ee7afd1a54d1/00001-4250195496.webp
https://files.tungsten.run/uploads/1bcf587c0d244b5d90afcb6f9216acdd/00002-4250195497.webp
Finished in 23.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: mouse holding a sign that says "give me cheese" Full negative prompt: 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.13it/s] 12%|█▎ | 2/16 [00:01<00:12, 1.13it/s] 19%|█▉ | 3/16 [00:02<00:11, 1.13it/s] 25%|██▌ | 4/16 [00:03<00:10, 1.12it/s] 31%|███▏ | 5/16 [00:04<00:09, 1.12it/s] 38%|███▊ | 6/16 [00:05<00:08, 1.12it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.12it/s] 50%|█████ | 8/16 [00:07<00:07, 1.12it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.11it/s] 62%|██████▎ | 10/16 [00:08<00:05, 1.11it/s] 69%|██████▉ | 11/16 [00:09<00:04, 1.11it/s] 75%|███████▌ | 12/16 [00:10<00:03, 1.11it/s] 81%|████████▏ | 13/16 [00:11<00:02, 1.10it/s] 88%|████████▊ | 14/16 [00:12<00:01, 1.10it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.10it/s] 100%|██████████| 16/16 [00:14<00:00, 1.10it/s] 100%|██████████| 16/16 [00:14<00:00, 1.11it/s] Decoding latents in cuda:0... done in 1.66s Move latents to cpu... done in 0.01s 0: 640x480 (no detections), 122.1ms Speed: 2.1ms preprocess, 122.1ms inference, 6.4ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings.
prompt
Specify things to see in the output
mouse holding a sign that says "give me cheese"
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.
4250195495
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++ 2M Karras
samping_steps
Number of denoising steps
16
cfg_scale
Scale for classifier-free guidance
4
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
None
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/8f814d86a0bd411d997bd3611af381e0/00000-4250195495.webp
https://files.tungsten.run/uploads/b666fa0b3a774cc5ab11ee7afd1a54d1/00001-4250195496.webp
https://files.tungsten.run/uploads/1bcf587c0d244b5d90afcb6f9216acdd/00002-4250195497.webp
Finished in 23.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: mouse holding a sign that says "give me cheese" Full negative prompt: 0%| | 0/16 [00:00<?, ?it/s] 6%|▋ | 1/16 [00:00<00:13, 1.13it/s] 12%|█▎ | 2/16 [00:01<00:12, 1.13it/s] 19%|█▉ | 3/16 [00:02<00:11, 1.13it/s] 25%|██▌ | 4/16 [00:03<00:10, 1.12it/s] 31%|███▏ | 5/16 [00:04<00:09, 1.12it/s] 38%|███▊ | 6/16 [00:05<00:08, 1.12it/s] 44%|████▍ | 7/16 [00:06<00:08, 1.12it/s] 50%|█████ | 8/16 [00:07<00:07, 1.12it/s] 56%|█████▋ | 9/16 [00:08<00:06, 1.11it/s] 62%|██████▎ | 10/16 [00:08<00:05, 1.11it/s] 69%|██████▉ | 11/16 [00:09<00:04, 1.11it/s] 75%|███████▌ | 12/16 [00:10<00:03, 1.11it/s] 81%|████████▏ | 13/16 [00:11<00:02, 1.10it/s] 88%|████████▊ | 14/16 [00:12<00:01, 1.10it/s] 94%|█████████▍| 15/16 [00:13<00:00, 1.10it/s] 100%|██████████| 16/16 [00:14<00:00, 1.10it/s] 100%|██████████| 16/16 [00:14<00:00, 1.11it/s] Decoding latents in cuda:0... done in 1.66s Move latents to cpu... done in 0.01s 0: 640x480 (no detections), 122.1ms Speed: 2.1ms preprocess, 122.1ms inference, 6.4ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings.