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omnigenxlnsfwsfw
omnigenxlnsfwsfw

omnigenxlnsfwsfw

93 stars
1 running now
Version: v1.0
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/984a9eb0148649a587c9f3c5453b2f75/00000-539741342.webp
https://files.tungsten.run/uploads/9a9b53fe31a845179f60c36a0f34904e/00001-539741343.webp
https://files.tungsten.run/uploads/9c40b4310f3740789f8c819b4d3879e5/00002-539741344.webp
This example was created by sparks
Finished in 107.6 seconds
Setting up the model... Preparing inputs... Processing... Using seed 539741342 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: instagram selfie , a 23 year old gorgeous woman , slight smile , detailed skin face and eyes , natural lighting , at home , long hair, wearing cute pajamas , film grain, low contrast, natural face , freckles , black hair , blue eyes, dark circles under eyes, <lora:EnvyBetterHiresFixXL01:0.3>, <lora:add-detail-xl:1.0> Full negative prompt: worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<01:56, 4.03s/it] 7%|▋ | 2/30 [00:07<01:44, 3.73s/it] 10%|█ | 3/30 [00:11<01:37, 3.62s/it] 13%|█▎ | 4/30 [00:14<01:34, 3.65s/it] 17%|█▋ | 5/30 [00:18<01:29, 3.58s/it] 20%|██ | 6/30 [00:21<01:25, 3.58s/it] 23%|██▎ | 7/30 [00:25<01:25, 3.70s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.56s/it] 30%|███ | 9/30 [00:32<01:13, 3.48s/it] 33%|███▎ | 10/30 [00:35<01:09, 3.48s/it] 37%|███▋ | 11/30 [00:39<01:06, 3.51s/it] 40%|████ | 12/30 [00:42<01:02, 3.48s/it] 43%|████▎ | 13/30 [00:46<00:59, 3.50s/it] 47%|████▋ | 14/30 [00:49<00:56, 3.55s/it] 50%|█████ | 15/30 [00:53<00:53, 3.54s/it] 53%|█████▎ | 16/30 [00:56<00:48, 3.45s/it] 57%|█████▋ | 17/30 [01:00<00:44, 3.45s/it] 60%|██████ | 18/30 [01:03<00:41, 3.43s/it] 63%|██████▎ | 19/30 [01:06<00:37, 3.39s/it] 67%|██████▋ | 20/30 [01:10<00:34, 3.41s/it] 70%|███████ | 21/30 [01:13<00:30, 3.37s/it] 73%|███████▎ | 22/30 [01:16<00:25, 3.23s/it] 77%|███████▋ | 23/30 [01:19<00:22, 3.21s/it] 80%|████████ | 24/30 [01:22<00:18, 3.16s/it] 83%|████████▎ | 25/30 [01:25<00:15, 3.19s/it] 87%|████████▋ | 26/30 [01:28<00:12, 3.15s/it] 90%|█████████ | 27/30 [01:32<00:09, 3.13s/it] 93%|█████████▎| 28/30 [01:35<00:06, 3.07s/it] 97%|█████████▋| 29/30 [01:36<00:02, 2.69s/it] 100%|██████████| 30/30 [01:38<00:00, 2.38s/it] 100%|██████████| 30/30 [01:38<00:00, 3.28s/it] Decoding latents in cuda:0... done in 3.05s Move latents to cpu... done in 0.04s 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/984a9eb0148649a587c9f3c5453b2f75/00000-539741342.webp
https://files.tungsten.run/uploads/9a9b53fe31a845179f60c36a0f34904e/00001-539741343.webp
https://files.tungsten.run/uploads/9c40b4310f3740789f8c819b4d3879e5/00002-539741344.webp
This example was created by sparks
Finished in 107.6 seconds
Setting up the model... Preparing inputs... Processing... Using seed 539741342 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: instagram selfie , a 23 year old gorgeous woman , slight smile , detailed skin face and eyes , natural lighting , at home , long hair, wearing cute pajamas , film grain, low contrast, natural face , freckles , black hair , blue eyes, dark circles under eyes, <lora:EnvyBetterHiresFixXL01:0.3>, <lora:add-detail-xl:1.0> Full negative prompt: worst quality, extra fingers, missing fingers, poorly rendered hands, mutation, deformed iris, deformed pupils, deformed limbs, missing limbs, amputee, amputated limbs, watermark, logo , text, piercing, big eyes , teeth, cartoon, shallow depth of field, makeup 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:04<01:56, 4.03s/it] 7%|▋ | 2/30 [00:07<01:44, 3.73s/it] 10%|█ | 3/30 [00:11<01:37, 3.62s/it] 13%|█▎ | 4/30 [00:14<01:34, 3.65s/it] 17%|█▋ | 5/30 [00:18<01:29, 3.58s/it] 20%|██ | 6/30 [00:21<01:25, 3.58s/it] 23%|██▎ | 7/30 [00:25<01:25, 3.70s/it] 27%|██▋ | 8/30 [00:28<01:18, 3.56s/it] 30%|███ | 9/30 [00:32<01:13, 3.48s/it] 33%|███▎ | 10/30 [00:35<01:09, 3.48s/it] 37%|███▋ | 11/30 [00:39<01:06, 3.51s/it] 40%|████ | 12/30 [00:42<01:02, 3.48s/it] 43%|████▎ | 13/30 [00:46<00:59, 3.50s/it] 47%|████▋ | 14/30 [00:49<00:56, 3.55s/it] 50%|█████ | 15/30 [00:53<00:53, 3.54s/it] 53%|█████▎ | 16/30 [00:56<00:48, 3.45s/it] 57%|█████▋ | 17/30 [01:00<00:44, 3.45s/it] 60%|██████ | 18/30 [01:03<00:41, 3.43s/it] 63%|██████▎ | 19/30 [01:06<00:37, 3.39s/it] 67%|██████▋ | 20/30 [01:10<00:34, 3.41s/it] 70%|███████ | 21/30 [01:13<00:30, 3.37s/it] 73%|███████▎ | 22/30 [01:16<00:25, 3.23s/it] 77%|███████▋ | 23/30 [01:19<00:22, 3.21s/it] 80%|████████ | 24/30 [01:22<00:18, 3.16s/it] 83%|████████▎ | 25/30 [01:25<00:15, 3.19s/it] 87%|████████▋ | 26/30 [01:28<00:12, 3.15s/it] 90%|█████████ | 27/30 [01:32<00:09, 3.13s/it] 93%|█████████▎| 28/30 [01:35<00:06, 3.07s/it] 97%|█████████▋| 29/30 [01:36<00:02, 2.69s/it] 100%|██████████| 30/30 [01:38<00:00, 2.38s/it] 100%|██████████| 30/30 [01:38<00:00, 3.28s/it] Decoding latents in cuda:0... done in 3.05s Move latents to cpu... done in 0.04s Uploading outputs... Finished.