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Ford Mustang with Umbra Mix
umbra-mix:v5.0
evevalentine2017
evevalentine2017
·
12/22/2023
378
Input
prompt
Specify things to see in the output
Epic couleur photo of a blue ford mustang in front of the white house with fires in his tires , wide angle macro, hard light, high contrast, (epic photography:1.3) (dark scene:1.2) with moody side light, (rim light:1.2) silhouette, (UTIL_PortraitHelper:0.6), (STY_mjgs:0.3) (STY_MJ_dgtlv2:0.3), (STY_rzminjourney:0.3), rule of thirds, Ying Yeng Fibonacci spiral composition, Hasselblad Fujifilm medium format, carl Zeiss, stunning contrast, incredible dynamic ranges, <lora:more_details:0.8>,
negative_prompt
Specify things to not see in the output
girls, female, nipples, topless, BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image
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
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3205526580
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
7.5
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>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
Output
https://files.tungsten.run/uploads/66d4d5b85a194fcea82fac2eb17e8619/00000-3205526580.webp
https://files.tungsten.run/uploads/f6a66b8cda2e4c319af16ab025d286d1/00001-3205526581.webp
https://files.tungsten.run/uploads/5c49df29556a4997bae0c6b0f93b2d11/00002-3205526582.webp
https://files.tungsten.run/uploads/25e67dd55c0b4dedb08542864de06d6e/00003-3205526583.webp
Finished in 65.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Epic couleur photo of a blue ford mustang in front of the white house with fires in his tires , wide angle macro, hard light, high contrast, (epic photography:1.3) (dark scene:1.2) with moody side light, (rim light:1.2) silhouette, (UTIL_PortraitHelper:0.6), (STY_mjgs:0.3) (STY_MJ_dgtlv2:0.3), (STY_rzminjourney:0.3), rule of thirds, Ying Yeng Fibonacci spiral composition, Hasselblad Fujifilm medium format, carl Zeiss, stunning contrast, incredible dynamic ranges, <lora:more_details:0.8>, , <lora:add_saturation:0.5> Full negative prompt: girls, female, nipples, topless, BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:53, 1.83s/it] 7%|▋ | 2/30 [00:03<00:54, 1.95s/it] 10%|█ | 3/30 [00:05<00:51, 1.90s/it] 13%|█▎ | 4/30 [00:07<00:48, 1.86s/it] 17%|█▋ | 5/30 [00:09<00:47, 1.90s/it] 20%|██ | 6/30 [00:11<00:44, 1.87s/it] 23%|██▎ | 7/30 [00:13<00:42, 1.86s/it] 27%|██▋ | 8/30 [00:14<00:40, 1.86s/it] 30%|███ | 9/30 [00:16<00:38, 1.81s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.85s/it] 37%|███▋ | 11/30 [00:20<00:34, 1.81s/it] 40%|████ | 12/30 [00:22<00:32, 1.81s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.80s/it] 47%|████▋ | 14/30 [00:25<00:28, 1.80s/it] 50%|█████ | 15/30 [00:27<00:27, 1.81s/it] 53%|█████▎ | 16/30 [00:29<00:24, 1.78s/it] 57%|█████▋ | 17/30 [00:30<00:22, 1.76s/it] 60%|██████ | 18/30 [00:32<00:20, 1.74s/it] 63%|██████▎ | 19/30 [00:34<00:18, 1.72s/it] 67%|██████▋ | 20/30 [00:36<00:17, 1.77s/it] 70%|███████ | 21/30 [00:37<00:15, 1.74s/it] 73%|███████▎ | 22/30 [00:39<00:13, 1.67s/it] 77%|███████▋ | 23/30 [00:41<00:11, 1.65s/it] 80%|████████ | 24/30 [00:42<00:09, 1.65s/it] 83%|████████▎ | 25/30 [00:44<00:08, 1.70s/it] 87%|████████▋ | 26/30 [00:46<00:06, 1.68s/it] 90%|█████████ | 27/30 [00:47<00:05, 1.71s/it] 93%|█████████▎| 28/30 [00:49<00:03, 1.67s/it] 97%|█████████▋| 29/30 [00:50<00:01, 1.45s/it] 100%|██████████| 30/30 [00:51<00:00, 1.21s/it] 100%|██████████| 30/30 [00:51<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.2ms Speed: 3.6ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 17.8ms Speed: 4.4ms preprocess, 17.8ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms 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
Epic couleur photo of a blue ford mustang in front of the white house with fires in his tires , wide angle macro, hard light, high contrast, (epic photography:1.3) (dark scene:1.2) with moody side light, (rim light:1.2) silhouette, (UTIL_PortraitHelper:0.6), (STY_mjgs:0.3) (STY_MJ_dgtlv2:0.3), (STY_rzminjourney:0.3), rule of thirds, Ying Yeng Fibonacci spiral composition, Hasselblad Fujifilm medium format, carl Zeiss, stunning contrast, incredible dynamic ranges, <lora:more_details:0.8>,
negative_prompt
Specify things to not see in the output
girls, female, nipples, topless, BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image
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
0.5
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3205526580
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
7.5
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>
more_details.safetensors
lora_2
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.safetensors
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)
BadDream.pt
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
bad_prompt_version2-neg.pt
embedding_3
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
disable_prompt_modification
Disable automatically adding suggested prompt modification. Built-in LoRAs and trigger words will remain.
false
https://files.tungsten.run/uploads/66d4d5b85a194fcea82fac2eb17e8619/00000-3205526580.webp
https://files.tungsten.run/uploads/f6a66b8cda2e4c319af16ab025d286d1/00001-3205526581.webp
https://files.tungsten.run/uploads/5c49df29556a4997bae0c6b0f93b2d11/00002-3205526582.webp
https://files.tungsten.run/uploads/25e67dd55c0b4dedb08542864de06d6e/00003-3205526583.webp
Finished in 65.9 seconds
Setting up the model... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: Epic couleur photo of a blue ford mustang in front of the white house with fires in his tires , wide angle macro, hard light, high contrast, (epic photography:1.3) (dark scene:1.2) with moody side light, (rim light:1.2) silhouette, (UTIL_PortraitHelper:0.6), (STY_mjgs:0.3) (STY_MJ_dgtlv2:0.3), (STY_rzminjourney:0.3), rule of thirds, Ying Yeng Fibonacci spiral composition, Hasselblad Fujifilm medium format, carl Zeiss, stunning contrast, incredible dynamic ranges, <lora:more_details:0.8>, , <lora:add_saturation:0.5> Full negative prompt: girls, female, nipples, topless, BadDream, UnrealisticDream, bad_prompt_version2-neg, ng_deepnegative_v1_75t, (worst quality, low quality), bad image 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:53, 1.83s/it] 7%|▋ | 2/30 [00:03<00:54, 1.95s/it] 10%|█ | 3/30 [00:05<00:51, 1.90s/it] 13%|█▎ | 4/30 [00:07<00:48, 1.86s/it] 17%|█▋ | 5/30 [00:09<00:47, 1.90s/it] 20%|██ | 6/30 [00:11<00:44, 1.87s/it] 23%|██▎ | 7/30 [00:13<00:42, 1.86s/it] 27%|██▋ | 8/30 [00:14<00:40, 1.86s/it] 30%|███ | 9/30 [00:16<00:38, 1.81s/it] 33%|███▎ | 10/30 [00:18<00:36, 1.85s/it] 37%|███▋ | 11/30 [00:20<00:34, 1.81s/it] 40%|████ | 12/30 [00:22<00:32, 1.81s/it] 43%|████▎ | 13/30 [00:23<00:30, 1.80s/it] 47%|████▋ | 14/30 [00:25<00:28, 1.80s/it] 50%|█████ | 15/30 [00:27<00:27, 1.81s/it] 53%|█████▎ | 16/30 [00:29<00:24, 1.78s/it] 57%|█████▋ | 17/30 [00:30<00:22, 1.76s/it] 60%|██████ | 18/30 [00:32<00:20, 1.74s/it] 63%|██████▎ | 19/30 [00:34<00:18, 1.72s/it] 67%|██████▋ | 20/30 [00:36<00:17, 1.77s/it] 70%|███████ | 21/30 [00:37<00:15, 1.74s/it] 73%|███████▎ | 22/30 [00:39<00:13, 1.67s/it] 77%|███████▋ | 23/30 [00:41<00:11, 1.65s/it] 80%|████████ | 24/30 [00:42<00:09, 1.65s/it] 83%|████████▎ | 25/30 [00:44<00:08, 1.70s/it] 87%|████████▋ | 26/30 [00:46<00:06, 1.68s/it] 90%|█████████ | 27/30 [00:47<00:05, 1.71s/it] 93%|█████████▎| 28/30 [00:49<00:03, 1.67s/it] 97%|█████████▋| 29/30 [00:50<00:01, 1.45s/it] 100%|██████████| 30/30 [00:51<00:00, 1.21s/it] 100%|██████████| 30/30 [00:51<00:00, 1.70s/it] Decoding latents in cuda:0... done in 0.99s Move latents to cpu... done in 0.02s 0: 640x640 (no detections), 8.2ms Speed: 3.6ms preprocess, 8.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.9ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 17.8ms Speed: 4.4ms preprocess, 17.8ms inference, 1.2ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. 0: 640x640 (no detections), 7.7ms Speed: 2.8ms preprocess, 7.7ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 4 with 1st settings. Uploading outputs... Finished.