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Van Gogh with Promissing Gamma XL
promissing-gamma-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 23
360
Input
prompt
Specify things to see in the output
a Van Gogh masterpiece
negative_prompt
Specify things to not see in the output
child, teen, loli, kid, realism, photo, 3d, volumetric,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3055607778
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ SDE
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
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.
false
Output
https://files.tungsten.run/uploads/dc338715d67948c2a18c47a848139d08/00000-3055607778.webp
https://files.tungsten.run/uploads/15c4726d876c4280b90907a91bd986be/00001-3055607779.webp
https://files.tungsten.run/uploads/772c642f3e604ed2a89a7ae8a8d12fe8/00002-3055607780.webp
Finished in 83.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a Van Gogh masterpiece Full negative prompt: child, teen, loli, kid, realism, photo, 3d, volumetric, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:56, 2.97s/it] 10%|█ | 2/20 [00:07<01:05, 3.65s/it] 15%|█▌ | 3/20 [00:11<01:06, 3.89s/it] 20%|██ | 4/20 [00:15<01:02, 3.92s/it] 25%|██▌ | 5/20 [00:19<01:00, 4.01s/it] 30%|███ | 6/20 [00:23<00:56, 4.03s/it] 35%|███▌ | 7/20 [00:27<00:52, 4.04s/it] 40%|████ | 8/20 [00:31<00:48, 4.08s/it] 45%|████▌ | 9/20 [00:35<00:44, 4.05s/it] 50%|█████ | 10/20 [00:39<00:39, 3.97s/it] 55%|█████▌ | 11/20 [00:43<00:35, 3.93s/it] 60%|██████ | 12/20 [00:47<00:30, 3.86s/it] 65%|██████▌ | 13/20 [00:50<00:26, 3.85s/it] 70%|███████ | 14/20 [00:54<00:23, 3.86s/it] 75%|███████▌ | 15/20 [00:58<00:19, 3.86s/it] 80%|████████ | 16/20 [01:02<00:15, 3.82s/it] 85%|████████▌ | 17/20 [01:05<00:11, 3.78s/it] 90%|█████████ | 18/20 [01:09<00:07, 3.77s/it] 95%|█████████▌| 19/20 [01:12<00:03, 3.40s/it] 100%|██████████| 20/20 [01:13<00:00, 2.66s/it] 100%|██████████| 20/20 [01:13<00:00, 3.66s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s
prompt
Specify things to see in the output
a Van Gogh masterpiece
negative_prompt
Specify things to not see in the output
child, teen, loli, kid, realism, photo, 3d, volumetric,
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
true
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.45
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3055607778
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.
0.55
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.
1
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.
1
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.
1
sampler
Sampler type
DPM++ SDE
samping_steps
Number of denoising steps
20
cfg_scale
Scale for classifier-free guidance
5.5
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
sdxl_vae.safetensors
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.
false
https://files.tungsten.run/uploads/dc338715d67948c2a18c47a848139d08/00000-3055607778.webp
https://files.tungsten.run/uploads/15c4726d876c4280b90907a91bd986be/00001-3055607779.webp
https://files.tungsten.run/uploads/772c642f3e604ed2a89a7ae8a8d12fe8/00002-3055607780.webp
Finished in 83.5 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: a Van Gogh masterpiece Full negative prompt: child, teen, loli, kid, realism, photo, 3d, volumetric, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:02<00:56, 2.97s/it] 10%|█ | 2/20 [00:07<01:05, 3.65s/it] 15%|█▌ | 3/20 [00:11<01:06, 3.89s/it] 20%|██ | 4/20 [00:15<01:02, 3.92s/it] 25%|██▌ | 5/20 [00:19<01:00, 4.01s/it] 30%|███ | 6/20 [00:23<00:56, 4.03s/it] 35%|███▌ | 7/20 [00:27<00:52, 4.04s/it] 40%|████ | 8/20 [00:31<00:48, 4.08s/it] 45%|████▌ | 9/20 [00:35<00:44, 4.05s/it] 50%|█████ | 10/20 [00:39<00:39, 3.97s/it] 55%|█████▌ | 11/20 [00:43<00:35, 3.93s/it] 60%|██████ | 12/20 [00:47<00:30, 3.86s/it] 65%|██████▌ | 13/20 [00:50<00:26, 3.85s/it] 70%|███████ | 14/20 [00:54<00:23, 3.86s/it] 75%|███████▌ | 15/20 [00:58<00:19, 3.86s/it] 80%|████████ | 16/20 [01:02<00:15, 3.82s/it] 85%|████████▌ | 17/20 [01:05<00:11, 3.78s/it] 90%|█████████ | 18/20 [01:09<00:07, 3.77s/it] 95%|█████████▌| 19/20 [01:12<00:03, 3.40s/it] 100%|██████████| 20/20 [01:13<00:00, 2.66s/it] 100%|██████████| 20/20 [01:13<00:00, 3.66s/it] Decoding latents in cuda:0... done in 1.73s Move latents to cpu... done in 0.02s