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yamers-realistic5
yamers-realistic5

yamers-realistic5

6 stars
Version: v5.0
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
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/23313b74c7254712a7d923862d961d8e/00000-2463649669.webp
https://files.tungsten.run/uploads/655d4a305425476c986e27895c1a81c1/00001-2463649670.webp
https://files.tungsten.run/uploads/de9cb6515a05449a81e8cc50e41523eb/00002-2463649671.webp
This example was created by sparks
Finished in 367.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors Full prompt: table, a rendition of a of a feral dirty husky wearing an apron and he has a confused expression in front of dirty dishes and cooking dog food with his clumsy paws while the, (food is charred and smoking:1.2), charred fur, detailed, high resolution, concept art, oil panting, digital art, cinematic, dramatic light, low saturation, lowkey, Low Contrast, War Photography, <lora:add-detail-xl:1.0> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolution, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, deformation 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:03<04:59, 3.80s/it] 2%|▎ | 2/80 [00:09<06:05, 4.68s/it] 4%|▍ | 3/80 [00:14<06:11, 4.83s/it] 5%|▌ | 4/80 [00:19<06:21, 5.02s/it] 6%|▋ | 5/80 [00:24<06:18, 5.04s/it] 8%|▊ | 6/80 [00:29<06:17, 5.10s/it] 9%|▉ | 7/80 [00:35<06:16, 5.16s/it] 10%|█ | 8/80 [00:40<06:11, 5.16s/it] 11%|█▏ | 9/80 [00:45<06:07, 5.17s/it] 12%|█▎ | 10/80 [00:50<05:55, 5.08s/it] 14%|█▍ | 11/80 [00:55<05:50, 5.09s/it] 15%|█▌ | 12/80 [01:00<05:46, 5.10s/it] 16%|█▋ | 13/80 [01:05<05:42, 5.11s/it] 18%|█▊ | 14/80 [01:10<05:39, 5.14s/it] 19%|█▉ | 15/80 [01:15<05:31, 5.11s/it] 20%|██ | 16/80 [01:20<05:25, 5.08s/it] 21%|██▏ | 17/80 [01:25<05:19, 5.08s/it] 22%|██▎ | 18/80 [01:31<05:19, 5.16s/it] 24%|██▍ | 19/80 [01:36<05:17, 5.20s/it] 25%|██▌ | 20/80 [01:41<05:13, 5.23s/it] 26%|██▋ | 21/80 [01:47<05:11, 5.28s/it] 28%|██▊ | 22/80 [01:52<05:04, 5.25s/it] 29%|██▉ | 23/80 [01:57<04:55, 5.18s/it] 30%|███ | 24/80 [02:02<04:49, 5.18s/it] 31%|███▏ | 25/80 [02:07<04:47, 5.23s/it] 32%|███▎ | 26/80 [02:13<04:40, 5.19s/it] 34%|███▍ | 27/80 [02:17<04:19, 4.89s/it] 35%|███▌ | 28/80 [02:22<04:22, 5.04s/it] 36%|███▋ | 29/80 [02:27<04:20, 5.11s/it] 38%|███▊ | 30/80 [02:32<04:14, 5.09s/it] 39%|███▉ | 31/80 [02:37<04:05, 5.01s/it] 40%|████ | 32/80 [02:42<03:53, 4.86s/it] 41%|████▏ | 33/80 [02:47<03:50, 4.90s/it] 42%|████▎ | 34/80 [02:50<03:28, 4.54s/it] 44%|████▍ | 35/80 [02:56<03:37, 4.82s/it] 45%|████▌ | 36/80 [03:01<03:35, 4.89s/it] 46%|████▋ | 37/80 [03:05<03:23, 4.73s/it] 48%|████▊ | 38/80 [03:09<03:08, 4.49s/it] 49%|████▉ | 39/80 [03:13<02:59, 4.39s/it] 50%|█████ | 40/80 [03:18<03:03, 4.58s/it] 51%|█████▏ | 41/80 [03:23<02:54, 4.49s/it] 52%|█████▎ | 42/80 [03:27<02:44, 4.32s/it] 54%|█████▍ | 43/80 [03:31<02:35, 4.20s/it] 55%|█████▌ | 44/80 [03:36<02:39, 4.42s/it] 56%|█████▋ | 45/80 [03:40<02:33, 4.40s/it] 57%|█████▊ | 46/80 [03:44<02:28, 4.38s/it] 59%|█████▉ | 47/80 [03:49<02:23, 4.36s/it] 60%|██████ | 48/80 [03:53<02:18, 4.33s/it] 61%|██████▏ | 49/80 [03:57<02:12, 4.28s/it] 62%|██████▎ | 50/80 [04:02<02:14, 4.49s/it] 64%|██████▍ | 51/80 [04:06<02:10, 4.50s/it] 65%|██████▌ | 52/80 [04:11<02:09, 4.62s/it] 66%|██████▋ | 53/80 [04:16<02:01, 4.49s/it] 68%|██████▊ | 54/80 [04:20<01:55, 4.45s/it] 69%|██████▉ | 55/80 [04:25<01:54, 4.57s/it] 70%|███████ | 56/80 [04:30<01:53, 4.71s/it] 71%|███████▏ | 57/80 [04:34<01:45, 4.60s/it] 72%|███████▎ | 58/80 [04:39<01:43, 4.69s/it] 74%|███████▍ | 59/80 [04:44<01:40, 4.77s/it] 75%|███████▌ | 60/80 [04:48<01:31, 4.58s/it] 76%|███████▋ | 61/80 [04:52<01:24, 4.47s/it] 78%|███████▊ | 62/80 [04:57<01:21, 4.52s/it] 79%|███████▉ | 63/80 [05:01<01:13, 4.35s/it] 80%|████████ | 64/80 [05:05<01:09, 4.32s/it] 81%|████████▏ | 65/80 [05:09<01:02, 4.16s/it] 82%|████████▎ | 66/80 [05:13<00:57, 4.07s/it] 84%|████████▍ | 67/80 [05:17<00:52, 4.01s/it] 85%|████████▌ | 68/80 [05:21<00:48, 4.01s/it] 86%|████████▋ | 69/80 [05:25<00:44, 4.06s/it] 88%|████████▊ | 70/80 [05:29<00:40, 4.06s/it] 89%|████████▉ | 71/80 [05:33<00:36, 4.01s/it] 90%|█████████ | 72/80 [05:37<00:31, 3.94s/it] 91%|█████████▏| 73/80 [05:40<00:27, 3.90s/it] 92%|█████████▎| 74/80 [05:44<00:22, 3.80s/it] 94%|█████████▍| 75/80 [05:48<00:19, 3.89s/it] 95%|█████████▌| 76/80 [05:52<00:15, 3.88s/it] 96%|█████████▋| 77/80 [05:55<00:11, 3.78s/it] 98%|█████████▊| 78/80 [05:59<00:07, 3.72s/it] 99%|█████████▉| 79/80 [06:02<00:03, 3.53s/it] 100%|██████████| 80/80 [06:03<00:00, 2.86s/it] 100%|██████████| 80/80 [06:03<00:00, 4.55s/it] Decoding latents in cuda:0... done in 2.45s Move latents to cpu... done in 0.05s Uploading outputs... 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
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/23313b74c7254712a7d923862d961d8e/00000-2463649669.webp
https://files.tungsten.run/uploads/655d4a305425476c986e27895c1a81c1/00001-2463649670.webp
https://files.tungsten.run/uploads/de9cb6515a05449a81e8cc50e41523eb/00002-2463649671.webp
This example was created by sparks
Finished in 367.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/fixFP16ErrorsSDXLLowerMemoryUse_v10.safetensors Full prompt: table, a rendition of a of a feral dirty husky wearing an apron and he has a confused expression in front of dirty dishes and cooking dog food with his clumsy paws while the, (food is charred and smoking:1.2), charred fur, detailed, high resolution, concept art, oil panting, digital art, cinematic, dramatic light, low saturation, lowkey, Low Contrast, War Photography, <lora:add-detail-xl:1.0> Full negative prompt: bad quality, bad anatomy, worst quality, low quality, low resolution, extra fingers, blur, blurry, ugly, wrong proportions, watermark, image artifacts, lowres, ugly, jpeg artifacts, deformed, noisy image, deformation 0%| | 0/80 [00:00<?, ?it/s] 1%|▏ | 1/80 [00:03<04:59, 3.80s/it] 2%|▎ | 2/80 [00:09<06:05, 4.68s/it] 4%|▍ | 3/80 [00:14<06:11, 4.83s/it] 5%|▌ | 4/80 [00:19<06:21, 5.02s/it] 6%|▋ | 5/80 [00:24<06:18, 5.04s/it] 8%|▊ | 6/80 [00:29<06:17, 5.10s/it] 9%|▉ | 7/80 [00:35<06:16, 5.16s/it] 10%|█ | 8/80 [00:40<06:11, 5.16s/it] 11%|█▏ | 9/80 [00:45<06:07, 5.17s/it] 12%|█▎ | 10/80 [00:50<05:55, 5.08s/it] 14%|█▍ | 11/80 [00:55<05:50, 5.09s/it] 15%|█▌ | 12/80 [01:00<05:46, 5.10s/it] 16%|█▋ | 13/80 [01:05<05:42, 5.11s/it] 18%|█▊ | 14/80 [01:10<05:39, 5.14s/it] 19%|█▉ | 15/80 [01:15<05:31, 5.11s/it] 20%|██ | 16/80 [01:20<05:25, 5.08s/it] 21%|██▏ | 17/80 [01:25<05:19, 5.08s/it] 22%|██▎ | 18/80 [01:31<05:19, 5.16s/it] 24%|██▍ | 19/80 [01:36<05:17, 5.20s/it] 25%|██▌ | 20/80 [01:41<05:13, 5.23s/it] 26%|██▋ | 21/80 [01:47<05:11, 5.28s/it] 28%|██▊ | 22/80 [01:52<05:04, 5.25s/it] 29%|██▉ | 23/80 [01:57<04:55, 5.18s/it] 30%|███ | 24/80 [02:02<04:49, 5.18s/it] 31%|███▏ | 25/80 [02:07<04:47, 5.23s/it] 32%|███▎ | 26/80 [02:13<04:40, 5.19s/it] 34%|███▍ | 27/80 [02:17<04:19, 4.89s/it] 35%|███▌ | 28/80 [02:22<04:22, 5.04s/it] 36%|███▋ | 29/80 [02:27<04:20, 5.11s/it] 38%|███▊ | 30/80 [02:32<04:14, 5.09s/it] 39%|███▉ | 31/80 [02:37<04:05, 5.01s/it] 40%|████ | 32/80 [02:42<03:53, 4.86s/it] 41%|████▏ | 33/80 [02:47<03:50, 4.90s/it] 42%|████▎ | 34/80 [02:50<03:28, 4.54s/it] 44%|████▍ | 35/80 [02:56<03:37, 4.82s/it] 45%|████▌ | 36/80 [03:01<03:35, 4.89s/it] 46%|████▋ | 37/80 [03:05<03:23, 4.73s/it] 48%|████▊ | 38/80 [03:09<03:08, 4.49s/it] 49%|████▉ | 39/80 [03:13<02:59, 4.39s/it] 50%|█████ | 40/80 [03:18<03:03, 4.58s/it] 51%|█████▏ | 41/80 [03:23<02:54, 4.49s/it] 52%|█████▎ | 42/80 [03:27<02:44, 4.32s/it] 54%|█████▍ | 43/80 [03:31<02:35, 4.20s/it] 55%|█████▌ | 44/80 [03:36<02:39, 4.42s/it] 56%|█████▋ | 45/80 [03:40<02:33, 4.40s/it] 57%|█████▊ | 46/80 [03:44<02:28, 4.38s/it] 59%|█████▉ | 47/80 [03:49<02:23, 4.36s/it] 60%|██████ | 48/80 [03:53<02:18, 4.33s/it] 61%|██████▏ | 49/80 [03:57<02:12, 4.28s/it] 62%|██████▎ | 50/80 [04:02<02:14, 4.49s/it] 64%|██████▍ | 51/80 [04:06<02:10, 4.50s/it] 65%|██████▌ | 52/80 [04:11<02:09, 4.62s/it] 66%|██████▋ | 53/80 [04:16<02:01, 4.49s/it] 68%|██████▊ | 54/80 [04:20<01:55, 4.45s/it] 69%|██████▉ | 55/80 [04:25<01:54, 4.57s/it] 70%|███████ | 56/80 [04:30<01:53, 4.71s/it] 71%|███████▏ | 57/80 [04:34<01:45, 4.60s/it] 72%|███████▎ | 58/80 [04:39<01:43, 4.69s/it] 74%|███████▍ | 59/80 [04:44<01:40, 4.77s/it] 75%|███████▌ | 60/80 [04:48<01:31, 4.58s/it] 76%|███████▋ | 61/80 [04:52<01:24, 4.47s/it] 78%|███████▊ | 62/80 [04:57<01:21, 4.52s/it] 79%|███████▉ | 63/80 [05:01<01:13, 4.35s/it] 80%|████████ | 64/80 [05:05<01:09, 4.32s/it] 81%|████████▏ | 65/80 [05:09<01:02, 4.16s/it] 82%|████████▎ | 66/80 [05:13<00:57, 4.07s/it] 84%|████████▍ | 67/80 [05:17<00:52, 4.01s/it] 85%|████████▌ | 68/80 [05:21<00:48, 4.01s/it] 86%|████████▋ | 69/80 [05:25<00:44, 4.06s/it] 88%|████████▊ | 70/80 [05:29<00:40, 4.06s/it] 89%|████████▉ | 71/80 [05:33<00:36, 4.01s/it] 90%|█████████ | 72/80 [05:37<00:31, 3.94s/it] 91%|█████████▏| 73/80 [05:40<00:27, 3.90s/it] 92%|█████████▎| 74/80 [05:44<00:22, 3.80s/it] 94%|█████████▍| 75/80 [05:48<00:19, 3.89s/it] 95%|█████████▌| 76/80 [05:52<00:15, 3.88s/it] 96%|█████████▋| 77/80 [05:55<00:11, 3.78s/it] 98%|█████████▊| 78/80 [05:59<00:07, 3.72s/it] 99%|█████████▉| 79/80 [06:02<00:03, 3.53s/it] 100%|██████████| 80/80 [06:03<00:00, 2.86s/it] 100%|██████████| 80/80 [06:03<00:00, 4.55s/it] Decoding latents in cuda:0... done in 2.45s Move latents to cpu... done in 0.05s Uploading outputs... Finished.