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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/8a4302f0cb6a44b6b0c8ced95a8da79b/00000-282721936.webp
https://files.tungsten.run/uploads/8e6c711e3747469fbd0acda1461e9e1c/00001-282721937.webp
https://files.tungsten.run/uploads/dd410242a15e4d5d87e6d8db246336cf/00002-282721938.webp
This example was created by evevalentine2017
Finished in 279.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: realistic photo of Gandalf, standing, having a beer in a busy bar, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, extremely high-resolution details, photographic, realism pushed to the extreme, fine texture, incredibly lifelike, photographed with a Sony A7R IV, 18mm F/1.7 cine lens, (highly detailed, intricately detailed), 8k, HDR, front view, Ultra-HD-details, Hyperrealistic art cinematic film still photography in the style of detailed hyperrealism photoshoot . 35mm photograph, film, bokeh, professional, 4k, highly detailed, Ultra-HD-details, RAW candid cinema, 16mm, color graded portra 400 film, remarkable color, ultra realistic, no camera Full negative prompt: (camera), 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 [00:03<01:14, 3.90s/it] 10%|█ | 2/20 [00:09<01:27, 4.87s/it] 15%|█▌ | 3/20 [00:15<01:28, 5.19s/it] 20%|██ | 4/20 [00:20<01:22, 5.19s/it] 25%|██▌ | 5/20 [00:25<01:19, 5.29s/it] 30%|███ | 6/20 [00:31<01:14, 5.33s/it] 35%|███▌ | 7/20 [00:36<01:09, 5.36s/it] 40%|████ | 8/20 [00:42<01:05, 5.42s/it] 45%|████▌ | 9/20 [00:47<00:59, 5.38s/it] 50%|█████ | 10/20 [00:52<00:53, 5.30s/it] 55%|█████▌ | 11/20 [00:57<00:47, 5.27s/it] 60%|██████ | 12/20 [01:02<00:41, 5.21s/it] 65%|██████▌ | 13/20 [01:07<00:36, 5.18s/it] 70%|███████ | 14/20 [01:13<00:31, 5.18s/it] 75%|███████▌ | 15/20 [01:18<00:25, 5.19s/it] 80%|████████ | 16/20 [01:23<00:20, 5.13s/it] 85%|████████▌ | 17/20 [01:28<00:15, 5.10s/it] 90%|█████████ | 18/20 [01:33<00:10, 5.10s/it] 95%|█████████▌| 19/20 [01:36<00:04, 4.62s/it] 100%|██████████| 20/20 [01:38<00:00, 3.62s/it] 100%|██████████| 20/20 [01:38<00:00, 4.91s/it] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.03s 0: 640x640 4 faces, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 21.4ms postprocess per image at shape (1, 3, 640, 640)
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/8a4302f0cb6a44b6b0c8ced95a8da79b/00000-282721936.webp
https://files.tungsten.run/uploads/8e6c711e3747469fbd0acda1461e9e1c/00001-282721937.webp
https://files.tungsten.run/uploads/dd410242a15e4d5d87e6d8db246336cf/00002-282721938.webp
This example was created by evevalentine2017
Finished in 279.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: realistic photo of Gandalf, standing, having a beer in a busy bar, highly detailed, high budget, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy, extremely high-resolution details, photographic, realism pushed to the extreme, fine texture, incredibly lifelike, photographed with a Sony A7R IV, 18mm F/1.7 cine lens, (highly detailed, intricately detailed), 8k, HDR, front view, Ultra-HD-details, Hyperrealistic art cinematic film still photography in the style of detailed hyperrealism photoshoot . 35mm photograph, film, bokeh, professional, 4k, highly detailed, Ultra-HD-details, RAW candid cinema, 16mm, color graded portra 400 film, remarkable color, ultra realistic, no camera Full negative prompt: (camera), 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 [00:03<01:14, 3.90s/it] 10%|█ | 2/20 [00:09<01:27, 4.87s/it] 15%|█▌ | 3/20 [00:15<01:28, 5.19s/it] 20%|██ | 4/20 [00:20<01:22, 5.19s/it] 25%|██▌ | 5/20 [00:25<01:19, 5.29s/it] 30%|███ | 6/20 [00:31<01:14, 5.33s/it] 35%|███▌ | 7/20 [00:36<01:09, 5.36s/it] 40%|████ | 8/20 [00:42<01:05, 5.42s/it] 45%|████▌ | 9/20 [00:47<00:59, 5.38s/it] 50%|█████ | 10/20 [00:52<00:53, 5.30s/it] 55%|█████▌ | 11/20 [00:57<00:47, 5.27s/it] 60%|██████ | 12/20 [01:02<00:41, 5.21s/it] 65%|██████▌ | 13/20 [01:07<00:36, 5.18s/it] 70%|███████ | 14/20 [01:13<00:31, 5.18s/it] 75%|███████▌ | 15/20 [01:18<00:25, 5.19s/it] 80%|████████ | 16/20 [01:23<00:20, 5.13s/it] 85%|████████▌ | 17/20 [01:28<00:15, 5.10s/it] 90%|█████████ | 18/20 [01:33<00:10, 5.10s/it] 95%|█████████▌| 19/20 [01:36<00:04, 4.62s/it] 100%|██████████| 20/20 [01:38<00:00, 3.62s/it] 100%|██████████| 20/20 [01:38<00:00, 4.91s/it] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.03s 0: 640x640 4 faces, 7.6ms Speed: 3.1ms preprocess, 7.6ms inference, 21.4ms postprocess per image at shape (1, 3, 640, 640)