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promissing-gamma-xl
promissing-gamma-xl

promissing-gamma-xl

5 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/5ea10679431e4b86942d094cb1c5aae8/00000-3055607778.webp
https://files.tungsten.run/uploads/c79d09a0f25d4f4e947333106e200c7c/00001-3055607779.webp
https://files.tungsten.run/uploads/f1a2b07515af4e88814ef5663e3e142c/00002-3055607780.webp
This example was created by evevalentine2017
Finished in 84.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Cinematic film still: nebulae scattered in space, shooting stars, meteors, otherworldly, awe-inspiring, Ultra-HD-details. Shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy. Full negative prompt: cartoon, unreal, anime, 3d, 2d, plain colors, render, cg, out of frame, focus on face, zoom on face, portrait, extreme close up on face, assymetrical face 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:56, 3.00s/it] 10%|█ | 2/20 [00:07<01:06, 3.70s/it] 15%|█▌ | 3/20 [00:11<01:07, 3.98s/it] 20%|██ | 4/20 [00:15<01:03, 3.99s/it] 25%|██▌ | 5/20 [00:19<01:00, 4.04s/it] 30%|███ | 6/20 [00:23<00:57, 4.08s/it] 35%|███▌ | 7/20 [00:27<00:53, 4.10s/it] 40%|████ | 8/20 [00:32<00:49, 4.13s/it] 45%|████▌ | 9/20 [00:36<00:44, 4.08s/it] 50%|█████ | 10/20 [00:39<00:40, 4.01s/it] 55%|█████▌ | 11/20 [00:43<00:35, 3.96s/it] 60%|██████ | 12/20 [00:47<00:31, 3.90s/it] 65%|██████▌ | 13/20 [00:51<00:27, 3.89s/it] 70%|███████ | 14/20 [00:55<00:23, 3.92s/it] 75%|███████▌ | 15/20 [00:59<00:19, 3.94s/it] 80%|████████ | 16/20 [01:03<00:15, 3.92s/it] 85%|████████▌ | 17/20 [01:07<00:11, 3.90s/it] 90%|█████████ | 18/20 [01:10<00:07, 3.89s/it] 95%|█████████▌| 19/20 [01:13<00:03, 3.51s/it] 100%|██████████| 20/20 [01:14<00:00, 2.75s/it] 100%|██████████| 20/20 [01:14<00:00, 3.73s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s
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/5ea10679431e4b86942d094cb1c5aae8/00000-3055607778.webp
https://files.tungsten.run/uploads/c79d09a0f25d4f4e947333106e200c7c/00001-3055607779.webp
https://files.tungsten.run/uploads/f1a2b07515af4e88814ef5663e3e142c/00002-3055607780.webp
This example was created by evevalentine2017
Finished in 84.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: Cinematic film still: nebulae scattered in space, shooting stars, meteors, otherworldly, awe-inspiring, Ultra-HD-details. Shallow depth of field, vignette, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy. Full negative prompt: cartoon, unreal, anime, 3d, 2d, plain colors, render, cg, out of frame, focus on face, zoom on face, portrait, extreme close up on face, assymetrical face 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:56, 3.00s/it] 10%|█ | 2/20 [00:07<01:06, 3.70s/it] 15%|█▌ | 3/20 [00:11<01:07, 3.98s/it] 20%|██ | 4/20 [00:15<01:03, 3.99s/it] 25%|██▌ | 5/20 [00:19<01:00, 4.04s/it] 30%|███ | 6/20 [00:23<00:57, 4.08s/it] 35%|███▌ | 7/20 [00:27<00:53, 4.10s/it] 40%|████ | 8/20 [00:32<00:49, 4.13s/it] 45%|████▌ | 9/20 [00:36<00:44, 4.08s/it] 50%|█████ | 10/20 [00:39<00:40, 4.01s/it] 55%|█████▌ | 11/20 [00:43<00:35, 3.96s/it] 60%|██████ | 12/20 [00:47<00:31, 3.90s/it] 65%|██████▌ | 13/20 [00:51<00:27, 3.89s/it] 70%|███████ | 14/20 [00:55<00:23, 3.92s/it] 75%|███████▌ | 15/20 [00:59<00:19, 3.94s/it] 80%|████████ | 16/20 [01:03<00:15, 3.92s/it] 85%|████████▌ | 17/20 [01:07<00:11, 3.90s/it] 90%|█████████ | 18/20 [01:10<00:07, 3.89s/it] 95%|█████████▌| 19/20 [01:13<00:03, 3.51s/it] 100%|██████████| 20/20 [01:14<00:00, 2.75s/it] 100%|██████████| 20/20 [01:14<00:00, 3.73s/it] Decoding latents in cuda:0... done in 1.75s Move latents to cpu... done in 0.02s