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Dream Lost in Time with Animatrix
animatrix:v2.0
evevalentine2017
evevalentine2017
·
12/21/2023
348
Input
prompt
Specify things to see in the output
a memory of a dream lost in time, forgotten in the stacks of history, buried beneath the weight of the world devouring itself, luminous, mystical, elemental, abstract, absurdres, highres,
negative_prompt
Specify things to not see in the output
(worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((more than 1 person))
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
0.55
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.
4014846638
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
38
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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/78b22fda00d3425689f70d03e62f4f56/00000-4014846638.webp
https://files.tungsten.run/uploads/af30beee19854edd86675c64eb3accfa/00001-4014846639.webp
https://files.tungsten.run/uploads/dd92f8879c4a4c80a578a3a04bde101a/00002-4014846640.webp
https://files.tungsten.run/uploads/5d0b02bb57e24ddcb0075dd1a2ffbf80/00003-4014846641.webp
Finished in 36.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: a memory of a dream lost in time, forgotten in the stacks of history, buried beneath the weight of the world devouring itself, luminous, mystical, elemental, abstract, absurdres, highres, Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((more than 1 person)) 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:24, 1.53it/s] 5%|▌ | 2/38 [00:01<00:24, 1.49it/s] 8%|▊ | 3/38 [00:02<00:23, 1.49it/s] 11%|█ | 4/38 [00:02<00:22, 1.48it/s] 13%|█▎ | 5/38 [00:03<00:22, 1.47it/s] 16%|█▌ | 6/38 [00:04<00:21, 1.47it/s] 18%|█▊ | 7/38 [00:04<00:21, 1.48it/s] 21%|██ | 8/38 [00:05<00:20, 1.47it/s] 24%|██▎ | 9/38 [00:06<00:19, 1.47it/s] 26%|██▋ | 10/38 [00:06<00:19, 1.46it/s] 29%|██▉ | 11/38 [00:07<00:18, 1.46it/s] 32%|███▏ | 12/38 [00:08<00:17, 1.46it/s] 34%|███▍ | 13/38 [00:08<00:17, 1.46it/s] 37%|███▋ | 14/38 [00:09<00:16, 1.46it/s] 39%|███▉ | 15/38 [00:10<00:15, 1.45it/s] 42%|████▏ | 16/38 [00:10<00:15, 1.45it/s] 45%|████▍ | 17/38 [00:11<00:14, 1.45it/s] 47%|████▋ | 18/38 [00:12<00:13, 1.45it/s] 50%|█████ | 19/38 [00:12<00:13, 1.45it/s] 53%|█████▎ | 20/38 [00:13<00:12, 1.44it/s] 55%|█████▌ | 21/38 [00:14<00:11, 1.45it/s] 58%|█████▊ | 22/38 [00:15<00:11, 1.44it/s] 61%|██████ | 23/38 [00:15<00:10, 1.44it/s] 63%|██████▎ | 24/38 [00:16<00:09, 1.45it/s] 66%|██████▌ | 25/38 [00:17<00:09, 1.44it/s] 68%|██████▊ | 26/38 [00:17<00:08, 1.44it/s] 71%|███████ | 27/38 [00:18<00:07, 1.44it/s] 74%|███████▎ | 28/38 [00:19<00:06, 1.44it/s] 76%|███████▋ | 29/38 [00:19<00:06, 1.44it/s] 79%|███████▉ | 30/38 [00:20<00:05, 1.44it/s] 82%|████████▏ | 31/38 [00:21<00:04, 1.43it/s] 84%|████████▍ | 32/38 [00:22<00:04, 1.43it/s] 87%|████████▋ | 33/38 [00:22<00:03, 1.43it/s] 89%|████████▉ | 34/38 [00:23<00:02, 1.43it/s] 92%|█████████▏| 35/38 [00:24<00:02, 1.43it/s] 95%|█████████▍| 36/38 [00:24<00:01, 1.43it/s] 97%|█████████▋| 37/38 [00:25<00:00, 1.43it/s] 100%|██████████| 38/38 [00:26<00:00, 1.43it/s] 100%|██████████| 38/38 [00:26<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.6ms preprocess, 7.7ms inference, 9.5ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms 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), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Finished.
prompt
Specify things to see in the output
a memory of a dream lost in time, forgotten in the stacks of history, buried beneath the weight of the world devouring itself, luminous, mystical, elemental, abstract, absurdres, highres,
negative_prompt
Specify things to not see in the output
(worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((more than 1 person))
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
0.55
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.
4014846638
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
38
cfg_scale
Scale for classifier-free guidance
10
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_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/78b22fda00d3425689f70d03e62f4f56/00000-4014846638.webp
https://files.tungsten.run/uploads/af30beee19854edd86675c64eb3accfa/00001-4014846639.webp
https://files.tungsten.run/uploads/dd92f8879c4a4c80a578a3a04bde101a/00002-4014846640.webp
https://files.tungsten.run/uploads/5d0b02bb57e24ddcb0075dd1a2ffbf80/00003-4014846641.webp
Finished in 36.4 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: a memory of a dream lost in time, forgotten in the stacks of history, buried beneath the weight of the world devouring itself, luminous, mystical, elemental, abstract, absurdres, highres, Full negative prompt: (worst quality, bad quality, child, cropped:1.4), nsfw, nipples, ((more than 1 person)) 0%| | 0/38 [00:00<?, ?it/s] 3%|▎ | 1/38 [00:00<00:24, 1.53it/s] 5%|▌ | 2/38 [00:01<00:24, 1.49it/s] 8%|▊ | 3/38 [00:02<00:23, 1.49it/s] 11%|█ | 4/38 [00:02<00:22, 1.48it/s] 13%|█▎ | 5/38 [00:03<00:22, 1.47it/s] 16%|█▌ | 6/38 [00:04<00:21, 1.47it/s] 18%|█▊ | 7/38 [00:04<00:21, 1.48it/s] 21%|██ | 8/38 [00:05<00:20, 1.47it/s] 24%|██▎ | 9/38 [00:06<00:19, 1.47it/s] 26%|██▋ | 10/38 [00:06<00:19, 1.46it/s] 29%|██▉ | 11/38 [00:07<00:18, 1.46it/s] 32%|███▏ | 12/38 [00:08<00:17, 1.46it/s] 34%|███▍ | 13/38 [00:08<00:17, 1.46it/s] 37%|███▋ | 14/38 [00:09<00:16, 1.46it/s] 39%|███▉ | 15/38 [00:10<00:15, 1.45it/s] 42%|████▏ | 16/38 [00:10<00:15, 1.45it/s] 45%|████▍ | 17/38 [00:11<00:14, 1.45it/s] 47%|████▋ | 18/38 [00:12<00:13, 1.45it/s] 50%|█████ | 19/38 [00:12<00:13, 1.45it/s] 53%|█████▎ | 20/38 [00:13<00:12, 1.44it/s] 55%|█████▌ | 21/38 [00:14<00:11, 1.45it/s] 58%|█████▊ | 22/38 [00:15<00:11, 1.44it/s] 61%|██████ | 23/38 [00:15<00:10, 1.44it/s] 63%|██████▎ | 24/38 [00:16<00:09, 1.45it/s] 66%|██████▌ | 25/38 [00:17<00:09, 1.44it/s] 68%|██████▊ | 26/38 [00:17<00:08, 1.44it/s] 71%|███████ | 27/38 [00:18<00:07, 1.44it/s] 74%|███████▎ | 28/38 [00:19<00:06, 1.44it/s] 76%|███████▋ | 29/38 [00:19<00:06, 1.44it/s] 79%|███████▉ | 30/38 [00:20<00:05, 1.44it/s] 82%|████████▏ | 31/38 [00:21<00:04, 1.43it/s] 84%|████████▍ | 32/38 [00:22<00:04, 1.43it/s] 87%|████████▋ | 33/38 [00:22<00:03, 1.43it/s] 89%|████████▉ | 34/38 [00:23<00:02, 1.43it/s] 92%|█████████▏| 35/38 [00:24<00:02, 1.43it/s] 95%|█████████▍| 36/38 [00:24<00:01, 1.43it/s] 97%|█████████▋| 37/38 [00:25<00:00, 1.43it/s] 100%|██████████| 38/38 [00:26<00:00, 1.43it/s] 100%|██████████| 38/38 [00:26<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 7.7ms Speed: 3.6ms preprocess, 7.7ms inference, 9.5ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.4ms Speed: 2.6ms preprocess, 7.4ms 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), 7.3ms Speed: 2.8ms preprocess, 7.3ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.0ms Speed: 2.8ms preprocess, 7.0ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Finished.