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Antique Car with Ultimate Blend XL
ultimate-blend-xl:v1.0
evevalentine2017
evevalentine2017
·
Jan 21
379
Input
prompt
Specify things to see in the output
A 1920 antique car, solid black background, blue, gold and black colors
negative_prompt
Specify things to not see in the output
featureless, colorless, text, watermark
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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.
1727086093
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++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
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)
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/dd9cfb93fad04235bbcf8ac9cc051a3a/00000-1727086093.webp
https://files.tungsten.run/uploads/5beb4b5221f3460b8a2d3b952186ebd6/00001-1727086094.webp
https://files.tungsten.run/uploads/18c3d6e079ce4d14aa3aac20aab0edf4/00002-1727086095.webp
Finished in 90.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A 1920 antique car, solid black background, blue, gold and black colors Full negative prompt: featureless, colorless, text, watermark 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:05, 2.25s/it] 7%|▋ | 2/30 [00:05<01:12, 2.60s/it] 10%|█ | 3/30 [00:07<01:13, 2.71s/it] 13%|█▎ | 4/30 [00:10<01:13, 2.82s/it] 17%|█▋ | 5/30 [00:13<01:09, 2.79s/it] 20%|██ | 6/30 [00:16<01:07, 2.81s/it] 23%|██▎ | 7/30 [00:19<01:07, 2.92s/it] 27%|██▋ | 8/30 [00:22<01:02, 2.83s/it] 30%|███ | 9/30 [00:24<00:58, 2.76s/it] 33%|███▎ | 10/30 [00:27<00:55, 2.78s/it] 37%|███▋ | 11/30 [00:30<00:53, 2.83s/it] 40%|████ | 12/30 [00:33<00:50, 2.80s/it] 43%|████▎ | 13/30 [00:36<00:47, 2.82s/it] 47%|████▋ | 14/30 [00:39<00:45, 2.84s/it] 50%|█████ | 15/30 [00:41<00:42, 2.83s/it] 53%|█████▎ | 16/30 [00:44<00:38, 2.76s/it] 57%|█████▋ | 17/30 [00:47<00:35, 2.76s/it] 60%|██████ | 18/30 [00:49<00:32, 2.73s/it] 63%|██████▎ | 19/30 [00:52<00:29, 2.72s/it] 67%|██████▋ | 20/30 [00:55<00:27, 2.75s/it] 70%|███████ | 21/30 [00:58<00:24, 2.75s/it] 73%|███████▎ | 22/30 [01:00<00:21, 2.64s/it] 77%|███████▋ | 23/30 [01:03<00:18, 2.64s/it] 80%|████████ | 24/30 [01:05<00:15, 2.63s/it] 83%|████████▎ | 25/30 [01:08<00:13, 2.66s/it] 87%|████████▋ | 26/30 [01:11<00:10, 2.61s/it] 90%|█████████ | 27/30 [01:13<00:07, 2.61s/it] 93%|█████████▎| 28/30 [01:16<00:05, 2.56s/it] 97%|█████████▋| 29/30 [01:17<00:02, 2.25s/it] 100%|██████████| 30/30 [01:19<00:00, 1.99s/it] 100%|██████████| 30/30 [01:19<00:00, 2.63s/it] Decoding latents in cuda:0... done in 2.46s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.9ms Speed: 3.3ms preprocess, 7.9ms inference, 1.1ms 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: 3.0ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 11.1ms Speed: 4.0ms preprocess, 11.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 10.5ms Speed: 2.9ms preprocess, 10.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 9.4ms Speed: 4.0ms preprocess, 9.4ms 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), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
A 1920 antique car, solid black background, blue, gold and black colors
negative_prompt
Specify things to not see in the output
featureless, colorless, text, watermark
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
true
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.
1727086093
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++ 3M SDE Karras
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
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)
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/dd9cfb93fad04235bbcf8ac9cc051a3a/00000-1727086093.webp
https://files.tungsten.run/uploads/5beb4b5221f3460b8a2d3b952186ebd6/00001-1727086094.webp
https://files.tungsten.run/uploads/18c3d6e079ce4d14aa3aac20aab0edf4/00002-1727086095.webp
Finished in 90.8 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: A 1920 antique car, solid black background, blue, gold and black colors Full negative prompt: featureless, colorless, text, watermark 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:02<01:05, 2.25s/it] 7%|▋ | 2/30 [00:05<01:12, 2.60s/it] 10%|█ | 3/30 [00:07<01:13, 2.71s/it] 13%|█▎ | 4/30 [00:10<01:13, 2.82s/it] 17%|█▋ | 5/30 [00:13<01:09, 2.79s/it] 20%|██ | 6/30 [00:16<01:07, 2.81s/it] 23%|██▎ | 7/30 [00:19<01:07, 2.92s/it] 27%|██▋ | 8/30 [00:22<01:02, 2.83s/it] 30%|███ | 9/30 [00:24<00:58, 2.76s/it] 33%|███▎ | 10/30 [00:27<00:55, 2.78s/it] 37%|███▋ | 11/30 [00:30<00:53, 2.83s/it] 40%|████ | 12/30 [00:33<00:50, 2.80s/it] 43%|████▎ | 13/30 [00:36<00:47, 2.82s/it] 47%|████▋ | 14/30 [00:39<00:45, 2.84s/it] 50%|█████ | 15/30 [00:41<00:42, 2.83s/it] 53%|█████▎ | 16/30 [00:44<00:38, 2.76s/it] 57%|█████▋ | 17/30 [00:47<00:35, 2.76s/it] 60%|██████ | 18/30 [00:49<00:32, 2.73s/it] 63%|██████▎ | 19/30 [00:52<00:29, 2.72s/it] 67%|██████▋ | 20/30 [00:55<00:27, 2.75s/it] 70%|███████ | 21/30 [00:58<00:24, 2.75s/it] 73%|███████▎ | 22/30 [01:00<00:21, 2.64s/it] 77%|███████▋ | 23/30 [01:03<00:18, 2.64s/it] 80%|████████ | 24/30 [01:05<00:15, 2.63s/it] 83%|████████▎ | 25/30 [01:08<00:13, 2.66s/it] 87%|████████▋ | 26/30 [01:11<00:10, 2.61s/it] 90%|█████████ | 27/30 [01:13<00:07, 2.61s/it] 93%|█████████▎| 28/30 [01:16<00:05, 2.56s/it] 97%|█████████▋| 29/30 [01:17<00:02, 2.25s/it] 100%|██████████| 30/30 [01:19<00:00, 1.99s/it] 100%|██████████| 30/30 [01:19<00:00, 2.63s/it] Decoding latents in cuda:0... done in 2.46s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.9ms Speed: 3.3ms preprocess, 7.9ms inference, 1.1ms 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: 3.0ms preprocess, 7.4ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 (no detections), 11.1ms Speed: 4.0ms preprocess, 11.1ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 10.5ms Speed: 2.9ms preprocess, 10.5ms inference, 1.0ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 (no detections), 9.4ms Speed: 4.0ms preprocess, 9.4ms 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), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.