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Races Game with Game Icon Institute
game-icon-institute:v1.0
evevalentine2017
evevalentine2017
·
Feb 29
342
Input
prompt
Specify things to see in the output
(masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), a computer screen with racing cars, view from behind the car, speed numbers, racing, motion lines, realistic, fake_screenshot
negative_prompt
Specify things to not see in the output
((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3061811800
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
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
3
vae
Select VAE
kl-f8-anime2_fp16.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/e872a3ad9ab94f438b40425d21165875/00000-3061811800.webp
https://files.tungsten.run/uploads/b655221811194800b79967a6f27aada2/00001-3061811801.webp
https://files.tungsten.run/uploads/03b8b1a06eeb478e8dc3c18453c73dbf/00002-3061811802.webp
https://files.tungsten.run/uploads/e279e52094b34b59924663b60e8942c2/00003-3061811803.webp
Finished in 23.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), a computer screen with racing cars, view from behind the car, speed numbers, racing, motion lines, realistic, fake_screenshot Full negative prompt: ((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.51it/s] 10%|█ | 2/20 [00:01<00:12, 1.48it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.49it/s] 20%|██ | 4/20 [00:02<00:10, 1.49it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.49it/s] 30%|███ | 6/20 [00:04<00:09, 1.49it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.49it/s] 40%|████ | 8/20 [00:05<00:08, 1.48it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.48it/s] 50%|█████ | 10/20 [00:06<00:06, 1.48it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.47it/s] 60%|██████ | 12/20 [00:08<00:05, 1.47it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.47it/s] 70%|███████ | 14/20 [00:09<00:04, 1.47it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.47it/s] 80%|████████ | 16/20 [00:10<00:02, 1.46it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.46it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.46it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.46it/s] 100%|██████████| 20/20 [00:13<00:00, 1.47it/s] 100%|██████████| 20/20 [00:13<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.0ms Speed: 2.9ms preprocess, 8.0ms inference, 14.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
(masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), a computer screen with racing cars, view from behind the car, speed numbers, racing, motion lines, realistic, fake_screenshot
negative_prompt
Specify things to not see in the output
((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
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
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3061811800
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
20
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
3
vae
Select VAE
kl-f8-anime2_fp16.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/e872a3ad9ab94f438b40425d21165875/00000-3061811800.webp
https://files.tungsten.run/uploads/b655221811194800b79967a6f27aada2/00001-3061811801.webp
https://files.tungsten.run/uploads/03b8b1a06eeb478e8dc3c18453c73dbf/00002-3061811802.webp
https://files.tungsten.run/uploads/e279e52094b34b59924663b60e8942c2/00003-3061811803.webp
Finished in 23.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: (masterpiece, top quality, best quality, official art, beautiful and aesthetic:1.2), a computer screen with racing cars, view from behind the car, speed numbers, racing, motion lines, realistic, fake_screenshot Full negative prompt: ((wrong fingers, extra feet, extra hands)),(worst quality:2), (low quality:2), (normal quality:2), lowres, normal quality, ((monochrome)), ((grayscale)), skin spots, acnes, skin blemishes, age spot, glans,extra fingers,fewer fingers,strange fingers,bad hand, badhandv4 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.51it/s] 10%|█ | 2/20 [00:01<00:12, 1.48it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.49it/s] 20%|██ | 4/20 [00:02<00:10, 1.49it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.49it/s] 30%|███ | 6/20 [00:04<00:09, 1.49it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.49it/s] 40%|████ | 8/20 [00:05<00:08, 1.48it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.48it/s] 50%|█████ | 10/20 [00:06<00:06, 1.48it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.47it/s] 60%|██████ | 12/20 [00:08<00:05, 1.47it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.47it/s] 70%|███████ | 14/20 [00:09<00:04, 1.47it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.47it/s] 80%|████████ | 16/20 [00:10<00:02, 1.46it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.46it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.46it/s] 95%|█████████▌| 19/20 [00:12<00:00, 1.46it/s] 100%|██████████| 20/20 [00:13<00:00, 1.47it/s] 100%|██████████| 20/20 [00:13<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.0ms Speed: 2.9ms preprocess, 8.0ms inference, 14.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.3ms Speed: 2.6ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.6ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.