Dieselpunk Car with Mjolnir Turbo SDXL
Input
prompt
Specify things to see in the output
cinematic film still an futuristic cyberpunk, dieselpunk sports car in a destroyed city after an nuclear blast . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh
negative_prompt
Specify things to not see in the output
Bad quality, worst quality, watermark
num_outputs
Number of output images
3
width
Output image width
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2090560895
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++ 2S a
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2.5
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/88f63dee040941d18c5634940a372720/00000-2090560895.webp
https://files.tungsten.run/uploads/cbb0244c68184cbca0ea4ce8f5f584f8/00001-2090560896.webp
https://files.tungsten.run/uploads/64d3a3a388b149ec915f17a5d16be570/00002-2090560897.webp
Finished in 27.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic film still an futuristic cyberpunk, dieselpunk sports car in a destroyed city after an nuclear blast . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh Full negative prompt: Bad quality, worst quality, watermark 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:16, 1.82s/it] 20%|██ | 2/10 [00:03<00:14, 1.80s/it] 30%|███ | 3/10 [00:05<00:12, 1.79s/it] 40%|████ | 4/10 [00:07<00:10, 1.79s/it] 50%|█████ | 5/10 [00:08<00:08, 1.80s/it] 60%|██████ | 6/10 [00:10<00:07, 1.81s/it] 70%|███████ | 7/10 [00:12<00:05, 1.82s/it] 80%|████████ | 8/10 [00:14<00:03, 1.82s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.83s/it] 100%|██████████| 10/10 [00:17<00:00, 1.54s/it] 100%|██████████| 10/10 [00:17<00:00, 1.72s/it] Decoding latents in cuda:0... done in 1.79s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 159.8ms Speed: 2.7ms preprocess, 159.8ms inference, 5.3ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 7.9ms Speed: 2.2ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
cinematic film still an futuristic cyberpunk, dieselpunk sports car in a destroyed city after an nuclear blast . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh
negative_prompt
Specify things to not see in the output
Bad quality, worst quality, watermark
num_outputs
Number of output images
3
width
Output image width
1024
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
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
2090560895
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++ 2S a
samping_steps
Number of denoising steps
10
cfg_scale
Scale for classifier-free guidance
2.5
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/88f63dee040941d18c5634940a372720/00000-2090560895.webp
https://files.tungsten.run/uploads/cbb0244c68184cbca0ea4ce8f5f584f8/00001-2090560896.webp
https://files.tungsten.run/uploads/64d3a3a388b149ec915f17a5d16be570/00002-2090560897.webp
Finished in 27.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: cinematic film still an futuristic cyberpunk, dieselpunk sports car in a destroyed city after an nuclear blast . shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, high quality photography, 3 point lighting, flash with softbox, 4k, Canon EOS R3, hdr, smooth, sharp focus, high resolution, award winning photo, 80mm, f2.8, bokeh Full negative prompt: Bad quality, worst quality, watermark 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:16, 1.82s/it] 20%|██ | 2/10 [00:03<00:14, 1.80s/it] 30%|███ | 3/10 [00:05<00:12, 1.79s/it] 40%|████ | 4/10 [00:07<00:10, 1.79s/it] 50%|█████ | 5/10 [00:08<00:08, 1.80s/it] 60%|██████ | 6/10 [00:10<00:07, 1.81s/it] 70%|███████ | 7/10 [00:12<00:05, 1.82s/it] 80%|████████ | 8/10 [00:14<00:03, 1.82s/it] 90%|█████████ | 9/10 [00:16<00:01, 1.83s/it] 100%|██████████| 10/10 [00:17<00:00, 1.54s/it] 100%|██████████| 10/10 [00:17<00:00, 1.72s/it] Decoding latents in cuda:0... done in 1.79s Move latents to cpu... done in 0.02s 0: 480x640 (no detections), 159.8ms Speed: 2.7ms preprocess, 159.8ms inference, 5.3ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 7.9ms Speed: 2.2ms preprocess, 7.9ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 480x640 (no detections), 8.2ms Speed: 2.3ms preprocess, 8.2ms inference, 0.7ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.