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lunar-diffusion
lunar-diffusion

lunar-diffusion

1 stars
Version: v1.2
Input
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
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Output
https://files.tungsten.run/uploads/b9cf58a0015242249cbaa1fb5520905b/00000-918951308.webp
https://files.tungsten.run/uploads/43c36d6c06ff4f3186ef879e1aa14fc5/00001-918951309.webp
https://files.tungsten.run/uploads/c73e4d050406498fb250e9834e2d6105/00002-918951310.webp
https://files.tungsten.run/uploads/7400dd01a0a0448bad3d4568bd83daf5/00003-918951311.webp
This example was created by evevalentine2017
Finished in 34.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (hyper realistic) (absurdres), (award winning quality), (ultra masterpiece), side view, best quality photo of a symmetrical racing muscle car, hdr photo, candy coat, (centered composition), drag race aesthetic, British Racing Green, chrome rims, hyper realistic photograph, burn out, best quality, 18mm f/8, trending on flickr, <lora:more_details:0.9> Full negative prompt: black and white, (bad hands), cartoon, 3d, (disfigured), (bad art), (deformed), (poorly drawn), (extra limbs), strange colours, blurry, boring, sketch, lacklustre, repetitive, cut off, (cropped:1.2), (split screen:1.25), headphones 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:41, 1.06s/it] 5%|▌ | 2/40 [00:01<00:31, 1.21it/s] 8%|▊ | 3/40 [00:02<00:27, 1.33it/s] 10%|█ | 4/40 [00:03<00:26, 1.38it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.41it/s] 15%|█▌ | 6/40 [00:04<00:23, 1.43it/s] 18%|█▊ | 7/40 [00:05<00:22, 1.44it/s] 20%|██ | 8/40 [00:05<00:22, 1.45it/s] 22%|██▎ | 9/40 [00:06<00:21, 1.46it/s] 25%|██▌ | 10/40 [00:07<00:20, 1.46it/s] 28%|██▊ | 11/40 [00:07<00:19, 1.46it/s] 30%|███ | 12/40 [00:08<00:19, 1.46it/s] 32%|███▎ | 13/40 [00:09<00:18, 1.46it/s] 35%|███▌ | 14/40 [00:09<00:17, 1.46it/s] 38%|███▊ | 15/40 [00:10<00:17, 1.46it/s] 40%|████ | 16/40 [00:11<00:16, 1.46it/s] 42%|████▎ | 17/40 [00:11<00:15, 1.46it/s] 45%|████▌ | 18/40 [00:12<00:15, 1.45it/s] 48%|████▊ | 19/40 [00:13<00:14, 1.45it/s] 50%|█████ | 20/40 [00:14<00:13, 1.45it/s] 52%|█████▎ | 21/40 [00:14<00:13, 1.45it/s] 55%|█████▌ | 22/40 [00:15<00:12, 1.44it/s] 57%|█████▊ | 23/40 [00:16<00:11, 1.44it/s] 60%|██████ | 24/40 [00:16<00:11, 1.44it/s] 62%|██████▎ | 25/40 [00:17<00:10, 1.44it/s] 65%|██████▌ | 26/40 [00:18<00:09, 1.43it/s] 68%|██████▊ | 27/40 [00:18<00:09, 1.43it/s] 70%|███████ | 28/40 [00:19<00:08, 1.43it/s] 72%|███████▎ | 29/40 [00:20<00:07, 1.43it/s] 75%|███████▌ | 30/40 [00:21<00:06, 1.43it/s] 78%|███████▊ | 31/40 [00:21<00:06, 1.43it/s] 80%|████████ | 32/40 [00:22<00:05, 1.43it/s] 82%|████████▎ | 33/40 [00:23<00:04, 1.43it/s] 85%|████████▌ | 34/40 [00:23<00:04, 1.43it/s] 88%|████████▊ | 35/40 [00:24<00:03, 1.43it/s] 90%|█████████ | 36/40 [00:25<00:02, 1.43it/s] 92%|█████████▎| 37/40 [00:25<00:02, 1.43it/s] 95%|█████████▌| 38/40 [00:26<00:01, 1.43it/s] 98%|█████████▊| 39/40 [00:27<00:00, 1.42it/s] 100%|██████████| 40/40 [00:28<00:00, 1.42it/s] 100%|██████████| 40/40 [00:28<00:00, 1.43it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.22s Move latents to cpu... done in 0.23s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 1 with 2nd settings. [-] ADetailer: nothing detected on image 2 with 1st settings. [-] ADetailer: nothing detected on image 2 with 2nd settings. [-] ADetailer: nothing detected on image 3 with 1st settings. [-] ADetailer: nothing detected on image 3 with 2nd settings. [-] ADetailer: nothing detected on image 4 with 1st settings. [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.
prompt *
Specify things to see in the output
negative_prompt
Specify things to not see in the output
num_outputs
Number of output images
width
Output image width
height
Output image height
enhance_face_with_adetailer
Enhance face with adetailer
enhance_hands_with_adetailer
Enhance hands with adetailer
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
detail
Enhance/diminish detail while keeping the overall style/character
brightness
Adjust brightness
contrast
Adjust contrast
saturation
Adjust saturation
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
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.
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.
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.
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.
sampler
Sampler type
samping_steps
Number of denoising steps
cfg_scale
Scale for classifier-free guidance
clip_skip
The number of last layers of CLIP network to skip
vae
Select VAE
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.
Sign in to run this model for free!
https://files.tungsten.run/uploads/b9cf58a0015242249cbaa1fb5520905b/00000-918951308.webp
https://files.tungsten.run/uploads/43c36d6c06ff4f3186ef879e1aa14fc5/00001-918951309.webp
https://files.tungsten.run/uploads/c73e4d050406498fb250e9834e2d6105/00002-918951310.webp
https://files.tungsten.run/uploads/7400dd01a0a0448bad3d4568bd83daf5/00003-918951311.webp
This example was created by evevalentine2017
Finished in 34.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: (hyper realistic) (absurdres), (award winning quality), (ultra masterpiece), side view, best quality photo of a symmetrical racing muscle car, hdr photo, candy coat, (centered composition), drag race aesthetic, British Racing Green, chrome rims, hyper realistic photograph, burn out, best quality, 18mm f/8, trending on flickr, <lora:more_details:0.9> Full negative prompt: black and white, (bad hands), cartoon, 3d, (disfigured), (bad art), (deformed), (poorly drawn), (extra limbs), strange colours, blurry, boring, sketch, lacklustre, repetitive, cut off, (cropped:1.2), (split screen:1.25), headphones 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:01<00:41, 1.06s/it] 5%|▌ | 2/40 [00:01<00:31, 1.21it/s] 8%|▊ | 3/40 [00:02<00:27, 1.33it/s] 10%|█ | 4/40 [00:03<00:26, 1.38it/s] 12%|█▎ | 5/40 [00:03<00:24, 1.41it/s] 15%|█▌ | 6/40 [00:04<00:23, 1.43it/s] 18%|█▊ | 7/40 [00:05<00:22, 1.44it/s] 20%|██ | 8/40 [00:05<00:22, 1.45it/s] 22%|██▎ | 9/40 [00:06<00:21, 1.46it/s] 25%|██▌ | 10/40 [00:07<00:20, 1.46it/s] 28%|██▊ | 11/40 [00:07<00:19, 1.46it/s] 30%|███ | 12/40 [00:08<00:19, 1.46it/s] 32%|███▎ | 13/40 [00:09<00:18, 1.46it/s] 35%|███▌ | 14/40 [00:09<00:17, 1.46it/s] 38%|███▊ | 15/40 [00:10<00:17, 1.46it/s] 40%|████ | 16/40 [00:11<00:16, 1.46it/s] 42%|████▎ | 17/40 [00:11<00:15, 1.46it/s] 45%|████▌ | 18/40 [00:12<00:15, 1.45it/s] 48%|████▊ | 19/40 [00:13<00:14, 1.45it/s] 50%|█████ | 20/40 [00:14<00:13, 1.45it/s] 52%|█████▎ | 21/40 [00:14<00:13, 1.45it/s] 55%|█████▌ | 22/40 [00:15<00:12, 1.44it/s] 57%|█████▊ | 23/40 [00:16<00:11, 1.44it/s] 60%|██████ | 24/40 [00:16<00:11, 1.44it/s] 62%|██████▎ | 25/40 [00:17<00:10, 1.44it/s] 65%|██████▌ | 26/40 [00:18<00:09, 1.43it/s] 68%|██████▊ | 27/40 [00:18<00:09, 1.43it/s] 70%|███████ | 28/40 [00:19<00:08, 1.43it/s] 72%|███████▎ | 29/40 [00:20<00:07, 1.43it/s] 75%|███████▌ | 30/40 [00:21<00:06, 1.43it/s] 78%|███████▊ | 31/40 [00:21<00:06, 1.43it/s] 80%|████████ | 32/40 [00:22<00:05, 1.43it/s] 82%|████████▎ | 33/40 [00:23<00:04, 1.43it/s] 85%|████████▌ | 34/40 [00:23<00:04, 1.43it/s] 88%|████████▊ | 35/40 [00:24<00:03, 1.43it/s] 90%|█████████ | 36/40 [00:25<00:02, 1.43it/s] 92%|█████████▎| 37/40 [00:25<00:02, 1.43it/s] 95%|█████████▌| 38/40 [00:26<00:01, 1.43it/s] 98%|█████████▊| 39/40 [00:27<00:00, 1.42it/s] 100%|██████████| 40/40 [00:28<00:00, 1.42it/s] 100%|██████████| 40/40 [00:28<00:00, 1.43it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.22s Move latents to cpu... done in 0.23s [-] ADetailer: nothing detected on image 1 with 1st settings. [-] ADetailer: nothing detected on image 1 with 2nd settings. [-] ADetailer: nothing detected on image 2 with 1st settings. [-] ADetailer: nothing detected on image 2 with 2nd settings. [-] ADetailer: nothing detected on image 3 with 1st settings. [-] ADetailer: nothing detected on image 3 with 2nd settings. [-] ADetailer: nothing detected on image 4 with 1st settings. [-] ADetailer: nothing detected on image 4 with 2nd settings. Finished.