tungsten-logo
Sign In
ishtars-gate
ishtars-gate

ishtars-gate

9 stars
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.
Sign in to run this model for free!
Output
https://files.tungsten.run/uploads/1f904ee97f374f568aee651e685ab4ce/00000-955066212.webp
https://files.tungsten.run/uploads/9f9720ec1a1f4a29b610ab5310c8c9ec/00001-955066213.webp
https://files.tungsten.run/uploads/5d4d866da9ef415d95c21f10d44ec9a6/00002-955066214.webp
This example was created by sparks
Finished in 35.8 seconds
Setting up the model... Preparing inputs... Processing... Using seed 955066212 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Illustration, a beautiful woman in lingerie, minimalist, highly detailed, 50s vibe, single gradient background, art by Phil Noto, <lora:add-detail-xl:1.0> Full negative prompt: Compression artifacts, fused body parts, mutated anatomy, jungle, bad art, worst quality, low quality, plastic, fake, bad limbs, conjoined, featureless, bad features, incorrect objects, ((watermark, logo, signature, words, letters)) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:08<00:32, 8.06s/it] 40%|████ | 2/5 [00:15<00:22, 7.48s/it] 60%|██████ | 3/5 [00:21<00:14, 7.18s/it] 80%|████████ | 4/5 [00:26<00:06, 6.19s/it] 100%|██████████| 5/5 [00:28<00:00, 4.54s/it] 100%|██████████| 5/5 [00:28<00:00, 5.65s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.03s 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/1f904ee97f374f568aee651e685ab4ce/00000-955066212.webp
https://files.tungsten.run/uploads/9f9720ec1a1f4a29b610ab5310c8c9ec/00001-955066213.webp
https://files.tungsten.run/uploads/5d4d866da9ef415d95c21f10d44ec9a6/00002-955066214.webp
This example was created by sparks
Finished in 35.8 seconds
Setting up the model... Preparing inputs... Processing... Using seed 955066212 Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Illustration, a beautiful woman in lingerie, minimalist, highly detailed, 50s vibe, single gradient background, art by Phil Noto, <lora:add-detail-xl:1.0> Full negative prompt: Compression artifacts, fused body parts, mutated anatomy, jungle, bad art, worst quality, low quality, plastic, fake, bad limbs, conjoined, featureless, bad features, incorrect objects, ((watermark, logo, signature, words, letters)) 0%| | 0/5 [00:00<?, ?it/s] 20%|██ | 1/5 [00:08<00:32, 8.06s/it] 40%|████ | 2/5 [00:15<00:22, 7.48s/it] 60%|██████ | 3/5 [00:21<00:14, 7.18s/it] 80%|████████ | 4/5 [00:26<00:06, 6.19s/it] 100%|██████████| 5/5 [00:28<00:00, 4.54s/it] 100%|██████████| 5/5 [00:28<00:00, 5.65s/it] Decoding latents in cuda:0... done in 2.86s Move latents to cpu... done in 0.03s Uploading outputs... Finished.