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anreal-spicemix
anreal-spicemix

anreal-spicemix

16 stars
Version: v3.0
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
saturation
Adjust saturation
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/279a1127e2bd45bcb3f0fea1e01e68c9/00000-1027495418.webp
https://files.tungsten.run/uploads/69abb7aa5dd14f39ae7dd3310ad8ada8/00001-1027495419.webp
https://files.tungsten.run/uploads/7fc074c91b544044a2b9c790bf7dc34f/00002-1027495420.webp
https://files.tungsten.run/uploads/9214b417c5404946b1961bce5f18de21/00003-1027495421.webp
This example was created by evevalentine2017
Finished in 67.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: raw photo, (1adult actor man, liberian, 24yo, radiant:0.8), (solo), (buzz haircut:0.9), (torn denim:0.75), (stunning muscular body:1.1), cinnamon skin, quirk, standing, jeans, (warm golden hour lighting:0.9), (invigorating, overexposed:0.7), (shot on Fujifilm X-T4:1.2), realistic skin texture, highly detailed photography, insanely detailed, hyperdetailed Full negative prompt: woman, cute, nsfw, thin, braids, big boobs, feminine, female, render, cgi, drawing, cartoon, painting, illustration, bad quality, low res, watermark, logo, bad quality, low res, boring, blurry, ugly, clean, (deformed, distorted, disfigured:1.25), humble, simple body 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:17, 1.55it/s] 7%|▋ | 2/28 [00:01<00:17, 1.52it/s] 11%|█ | 3/28 [00:01<00:16, 1.50it/s] 14%|█▍ | 4/28 [00:02<00:15, 1.50it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.50it/s] 21%|██▏ | 6/28 [00:03<00:14, 1.50it/s] 25%|██▌ | 7/28 [00:04<00:14, 1.50it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.50it/s] 32%|███▏ | 9/28 [00:05<00:12, 1.50it/s] 36%|███▌ | 10/28 [00:06<00:12, 1.50it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.49it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.49it/s] 46%|████▋ | 13/28 [00:08<00:10, 1.49it/s] 50%|█████ | 14/28 [00:09<00:09, 1.49it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.49it/s] 57%|█████▋ | 16/28 [00:10<00:08, 1.49it/s] 61%|██████ | 17/28 [00:11<00:07, 1.49it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.48it/s] 68%|██████▊ | 19/28 [00:12<00:06, 1.48it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.48it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.48it/s] 79%|███████▊ | 22/28 [00:14<00:04, 1.48it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.48it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.48it/s] 89%|████████▉ | 25/28 [00:16<00:02, 1.47it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.47it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.47it/s] 100%|██████████| 28/28 [00:18<00:00, 1.47it/s] 100%|██████████| 28/28 [00:18<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.1ms Speed: 3.1ms preprocess, 9.1ms inference, 31.1ms 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
saturation
Adjust saturation
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/279a1127e2bd45bcb3f0fea1e01e68c9/00000-1027495418.webp
https://files.tungsten.run/uploads/69abb7aa5dd14f39ae7dd3310ad8ada8/00001-1027495419.webp
https://files.tungsten.run/uploads/7fc074c91b544044a2b9c790bf7dc34f/00002-1027495420.webp
https://files.tungsten.run/uploads/9214b417c5404946b1961bce5f18de21/00003-1027495421.webp
This example was created by evevalentine2017
Finished in 67.9 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: raw photo, (1adult actor man, liberian, 24yo, radiant:0.8), (solo), (buzz haircut:0.9), (torn denim:0.75), (stunning muscular body:1.1), cinnamon skin, quirk, standing, jeans, (warm golden hour lighting:0.9), (invigorating, overexposed:0.7), (shot on Fujifilm X-T4:1.2), realistic skin texture, highly detailed photography, insanely detailed, hyperdetailed Full negative prompt: woman, cute, nsfw, thin, braids, big boobs, feminine, female, render, cgi, drawing, cartoon, painting, illustration, bad quality, low res, watermark, logo, bad quality, low res, boring, blurry, ugly, clean, (deformed, distorted, disfigured:1.25), humble, simple body 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:17, 1.55it/s] 7%|▋ | 2/28 [00:01<00:17, 1.52it/s] 11%|█ | 3/28 [00:01<00:16, 1.50it/s] 14%|█▍ | 4/28 [00:02<00:15, 1.50it/s] 18%|█▊ | 5/28 [00:03<00:15, 1.50it/s] 21%|██▏ | 6/28 [00:03<00:14, 1.50it/s] 25%|██▌ | 7/28 [00:04<00:14, 1.50it/s] 29%|██▊ | 8/28 [00:05<00:13, 1.50it/s] 32%|███▏ | 9/28 [00:05<00:12, 1.50it/s] 36%|███▌ | 10/28 [00:06<00:12, 1.50it/s] 39%|███▉ | 11/28 [00:07<00:11, 1.49it/s] 43%|████▎ | 12/28 [00:08<00:10, 1.49it/s] 46%|████▋ | 13/28 [00:08<00:10, 1.49it/s] 50%|█████ | 14/28 [00:09<00:09, 1.49it/s] 54%|█████▎ | 15/28 [00:10<00:08, 1.49it/s] 57%|█████▋ | 16/28 [00:10<00:08, 1.49it/s] 61%|██████ | 17/28 [00:11<00:07, 1.49it/s] 64%|██████▍ | 18/28 [00:12<00:06, 1.48it/s] 68%|██████▊ | 19/28 [00:12<00:06, 1.48it/s] 71%|███████▏ | 20/28 [00:13<00:05, 1.48it/s] 75%|███████▌ | 21/28 [00:14<00:04, 1.48it/s] 79%|███████▊ | 22/28 [00:14<00:04, 1.48it/s] 82%|████████▏ | 23/28 [00:15<00:03, 1.48it/s] 86%|████████▌ | 24/28 [00:16<00:02, 1.48it/s] 89%|████████▉ | 25/28 [00:16<00:02, 1.47it/s] 93%|█████████▎| 26/28 [00:17<00:01, 1.47it/s] 96%|█████████▋| 27/28 [00:18<00:00, 1.47it/s] 100%|██████████| 28/28 [00:18<00:00, 1.47it/s] 100%|██████████| 28/28 [00:18<00:00, 1.49it/s] Decoding latents in cuda:0... done in 0.98s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.1ms Speed: 3.1ms preprocess, 9.1ms inference, 31.1ms postprocess per image at shape (1, 3, 640, 640)