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grogmix-turbo-xl:v1.0
evevalentine2017
evevalentine2017
·
Feb 2
385
Input
prompt
Specify things to see in the output
most cute fantasy animals of the world, different species, diplodocus based, big eyes, very scaly
negative_prompt
Specify things to not see in the output
negativeXL_D,
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.
-1
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 SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2
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)
negativeXL_D.safetensors
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/e40867132282433d9f2c8c3882afea1b/00000-3364538089.webp
https://files.tungsten.run/uploads/e669376493d54717bb82870c38f25037/00001-3364538090.webp
https://files.tungsten.run/uploads/a55f937e04864347b0e87112ab22b6ba/00002-3364538091.webp
Finished in 27.3 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3364538089 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: most cute fantasy animals of the world, different species, diplodocus based, big eyes, very scaly Full negative prompt: negativeXL_D, 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.58s/it] 20%|██ | 2/10 [00:03<00:14, 1.80s/it] 30%|███ | 3/10 [00:05<00:13, 1.92s/it] 40%|████ | 4/10 [00:07<00:11, 1.96s/it] 50%|█████ | 5/10 [00:09<00:09, 1.96s/it] 60%|██████ | 6/10 [00:11<00:07, 1.94s/it] 70%|███████ | 7/10 [00:13<00:05, 1.90s/it] 80%|████████ | 8/10 [00:14<00:03, 1.82s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.64s/it] 100%|██████████| 10/10 [00:17<00:00, 1.42s/it] 100%|██████████| 10/10 [00:17<00:00, 1.71s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 156.9ms Speed: 2.4ms preprocess, 156.9ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms 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), 7.8ms Speed: 2.4ms preprocess, 7.8ms 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
most cute fantasy animals of the world, different species, diplodocus based, big eyes, very scaly
negative_prompt
Specify things to not see in the output
negativeXL_D,
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.
-1
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 SDE Karras
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2
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)
negativeXL_D.safetensors
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/e40867132282433d9f2c8c3882afea1b/00000-3364538089.webp
https://files.tungsten.run/uploads/e669376493d54717bb82870c38f25037/00001-3364538090.webp
https://files.tungsten.run/uploads/a55f937e04864347b0e87112ab22b6ba/00002-3364538091.webp
Finished in 27.3 seconds
Setting up the model... Preparing inputs... Processing... Using seed 3364538089 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: most cute fantasy animals of the world, different species, diplodocus based, big eyes, very scaly Full negative prompt: negativeXL_D, 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.58s/it] 20%|██ | 2/10 [00:03<00:14, 1.80s/it] 30%|███ | 3/10 [00:05<00:13, 1.92s/it] 40%|████ | 4/10 [00:07<00:11, 1.96s/it] 50%|█████ | 5/10 [00:09<00:09, 1.96s/it] 60%|██████ | 6/10 [00:11<00:07, 1.94s/it] 70%|███████ | 7/10 [00:13<00:05, 1.90s/it] 80%|████████ | 8/10 [00:14<00:03, 1.82s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.64s/it] 100%|██████████| 10/10 [00:17<00:00, 1.42s/it] 100%|██████████| 10/10 [00:17<00:00, 1.71s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s 0: 640x480 (no detections), 156.9ms Speed: 2.4ms preprocess, 156.9ms inference, 0.9ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x480 (no detections), 7.8ms Speed: 2.3ms preprocess, 7.8ms 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), 7.8ms Speed: 2.4ms preprocess, 7.8ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.