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Cute Robot with Virtual Utopia XL Lightning
Virtual Utopia XL:Lightning
sparks
sparks
·
Apr 25
2
Input
prompt
Specify things to see in the output
shangri la aesthetic cartoon robot with headphones and a rainbow face . utopian, serene, asian inspired, highly detailed
negative_prompt
Specify things to not see in the output
, dystopian, chaotic, western, minimalist, abstract
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
74438408
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
Euler a
samping_steps
Number of denoising steps
15
cfg_scale
Scale for classifier-free guidance
1.5
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/062ea991006a4c12b409041ed0c5c6b7/00000-74438408.webp
https://files.tungsten.run/uploads/71d6840b0f30499ebfe7d1d5bd8fa353/00001-74438409.webp
https://files.tungsten.run/uploads/9f9eba21d57444bdbb8e2d56ff71f03c/00002-74438410.webp
Finished in 30.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: shangri la aesthetic cartoon robot with headphones and a rainbow face . utopian, serene, asian inspired, highly detailed, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: , dystopian, chaotic, western, minimalist, abstract 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:02<00:31, 2.27s/it] 13%|█▎ | 2/15 [00:03<00:23, 1.81s/it] 20%|██ | 3/15 [00:05<00:19, 1.66s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.59s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.55s/it] 40%|████ | 6/15 [00:09<00:13, 1.53s/it] 47%|████▋ | 7/15 [00:11<00:12, 1.52s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.51s/it] 60%|██████ | 9/15 [00:14<00:09, 1.50s/it] 67%|██████▋ | 10/15 [00:15<00:07, 1.50s/it] 73%|███████▎ | 11/15 [00:17<00:06, 1.50s/it] 80%|████████ | 12/15 [00:18<00:04, 1.50s/it] 87%|████████▋ | 13/15 [00:20<00:02, 1.50s/it] 93%|█████████▎| 14/15 [00:21<00:01, 1.50s/it] 100%|██████████| 15/15 [00:23<00:00, 1.49s/it] 100%|██████████| 15/15 [00:23<00:00, 1.54s/it] Decoding latents in cuda:0... done in 2.69s Move latents to cpu... done in 0.02s Uploading outputs... Finished.
prompt
Specify things to see in the output
shangri la aesthetic cartoon robot with headphones and a rainbow face . utopian, serene, asian inspired, highly detailed
negative_prompt
Specify things to not see in the output
, dystopian, chaotic, western, minimalist, abstract
EnvyBetterHiresFixXL01
Envy Better Hires Fix Xl01
0.5
num_outputs
Number of output images
3
width
Output image width
960
height
Output image height
1280
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
1
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.
74438408
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
Euler a
samping_steps
Number of denoising steps
15
cfg_scale
Scale for classifier-free guidance
1.5
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/062ea991006a4c12b409041ed0c5c6b7/00000-74438408.webp
https://files.tungsten.run/uploads/71d6840b0f30499ebfe7d1d5bd8fa353/00001-74438409.webp
https://files.tungsten.run/uploads/9f9eba21d57444bdbb8e2d56ff71f03c/00002-74438410.webp
Finished in 30.1 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: shangri la aesthetic cartoon robot with headphones and a rainbow face . utopian, serene, asian inspired, highly detailed, <lora:EnvyBetterHiresFixXL01:0.5>, <lora:add-detail-xl:1.0> Full negative prompt: , dystopian, chaotic, western, minimalist, abstract 0%| | 0/15 [00:00<?, ?it/s] 7%|▋ | 1/15 [00:02<00:31, 2.27s/it] 13%|█▎ | 2/15 [00:03<00:23, 1.81s/it] 20%|██ | 3/15 [00:05<00:19, 1.66s/it] 27%|██▋ | 4/15 [00:06<00:17, 1.59s/it] 33%|███▎ | 5/15 [00:08<00:15, 1.55s/it] 40%|████ | 6/15 [00:09<00:13, 1.53s/it] 47%|████▋ | 7/15 [00:11<00:12, 1.52s/it] 53%|█████▎ | 8/15 [00:12<00:10, 1.51s/it] 60%|██████ | 9/15 [00:14<00:09, 1.50s/it] 67%|██████▋ | 10/15 [00:15<00:07, 1.50s/it] 73%|███████▎ | 11/15 [00:17<00:06, 1.50s/it] 80%|████████ | 12/15 [00:18<00:04, 1.50s/it] 87%|████████▋ | 13/15 [00:20<00:02, 1.50s/it] 93%|█████████▎| 14/15 [00:21<00:01, 1.50s/it] 100%|██████████| 15/15 [00:23<00:00, 1.49s/it] 100%|██████████| 15/15 [00:23<00:00, 1.54s/it] Decoding latents in cuda:0... done in 2.69s Move latents to cpu... done in 0.02s Uploading outputs... Finished.