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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/d3f640bfc7474fff9f45e074e84113f3/00000-194195148.webp
https://files.tungsten.run/uploads/3c3014f36e0f4da394162ee29eca794c/00001-194195149.webp
https://files.tungsten.run/uploads/d060ff4586f1462e971a7c5dcf3a8080/00002-194195150.webp
https://files.tungsten.run/uploads/cae37c7928424d54a3098f405055d247/00003-194195151.webp
This example was created by evevalentine2017
Finished in 98.2 seconds
Preparing inputs... Processing... Full prompt: raw photo, lower body photo of 32 years old woman, from below, (wearing a long oversized sweater, teasing white thong:0.9), moody, dirty fiery red hair, color gradient, bright tips of hair, sun-kissed skin, happy, cute smile, beautiful hazelnut eyes, hard shadows, dark, nighttime, overexposed filter, silhouetted against the bright light, Finely Articulated, Crisp Definition, 35mm photograph Full negative prompt: nsfw, render, cgi, drawing, cartoon, painting, illustration, bad quality, low res, watermark, logo, bad quality, low res, boring, blurry, ugly, clean, cute, thin, big boobs, (deformed, distorted, disfigured:1.25), humble, simple body 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.26s/it] 7%|▋ | 2/28 [00:03<00:40, 1.57s/it] 11%|█ | 3/28 [00:04<00:41, 1.67s/it] 14%|█▍ | 4/28 [00:06<00:41, 1.74s/it] 18%|█▊ | 5/28 [00:08<00:41, 1.78s/it] 21%|██▏ | 6/28 [00:10<00:38, 1.77s/it] 25%|██▌ | 7/28 [00:12<00:37, 1.79s/it] 29%|██▊ | 8/28 [00:14<00:37, 1.86s/it] 32%|███▏ | 9/28 [00:16<00:36, 1.91s/it] 36%|███▌ | 10/28 [00:18<00:34, 1.90s/it] 39%|███▉ | 11/28 [00:19<00:31, 1.84s/it] 43%|████▎ | 12/28 [00:21<00:29, 1.82s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.80s/it] 50%|█████ | 14/28 [00:24<00:24, 1.78s/it] 54%|█████▎ | 15/28 [00:26<00:23, 1.78s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.73s/it] 61%|██████ | 17/28 [00:29<00:18, 1.64s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.63s/it] 68%|██████▊ | 19/28 [00:32<00:14, 1.61s/it] 71%|███████▏ | 20/28 [00:34<00:12, 1.61s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.66s/it] 79%|███████▊ | 22/28 [00:37<00:09, 1.64s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.67s/it] 86%|████████▌ | 24/28 [00:41<00:06, 1.59s/it] 89%|████████▉ | 25/28 [00:42<00:04, 1.55s/it] 93%|█████████▎| 26/28 [00:44<00:03, 1.56s/it] 96%|█████████▋| 27/28 [00:45<00:01, 1.40s/it] 100%|██████████| 28/28 [00:45<00:00, 1.16s/it] 100%|██████████| 28/28 [00:45<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.4ms Speed: 3.0ms preprocess, 9.4ms inference, 23.8ms 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/d3f640bfc7474fff9f45e074e84113f3/00000-194195148.webp
https://files.tungsten.run/uploads/3c3014f36e0f4da394162ee29eca794c/00001-194195149.webp
https://files.tungsten.run/uploads/d060ff4586f1462e971a7c5dcf3a8080/00002-194195150.webp
https://files.tungsten.run/uploads/cae37c7928424d54a3098f405055d247/00003-194195151.webp
This example was created by evevalentine2017
Finished in 98.2 seconds
Preparing inputs... Processing... Full prompt: raw photo, lower body photo of 32 years old woman, from below, (wearing a long oversized sweater, teasing white thong:0.9), moody, dirty fiery red hair, color gradient, bright tips of hair, sun-kissed skin, happy, cute smile, beautiful hazelnut eyes, hard shadows, dark, nighttime, overexposed filter, silhouetted against the bright light, Finely Articulated, Crisp Definition, 35mm photograph Full negative prompt: nsfw, render, cgi, drawing, cartoon, painting, illustration, bad quality, low res, watermark, logo, bad quality, low res, boring, blurry, ugly, clean, cute, thin, big boobs, (deformed, distorted, disfigured:1.25), humble, simple body 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:01<00:34, 1.26s/it] 7%|▋ | 2/28 [00:03<00:40, 1.57s/it] 11%|█ | 3/28 [00:04<00:41, 1.67s/it] 14%|█▍ | 4/28 [00:06<00:41, 1.74s/it] 18%|█▊ | 5/28 [00:08<00:41, 1.78s/it] 21%|██▏ | 6/28 [00:10<00:38, 1.77s/it] 25%|██▌ | 7/28 [00:12<00:37, 1.79s/it] 29%|██▊ | 8/28 [00:14<00:37, 1.86s/it] 32%|███▏ | 9/28 [00:16<00:36, 1.91s/it] 36%|███▌ | 10/28 [00:18<00:34, 1.90s/it] 39%|███▉ | 11/28 [00:19<00:31, 1.84s/it] 43%|████▎ | 12/28 [00:21<00:29, 1.82s/it] 46%|████▋ | 13/28 [00:23<00:26, 1.80s/it] 50%|█████ | 14/28 [00:24<00:24, 1.78s/it] 54%|█████▎ | 15/28 [00:26<00:23, 1.78s/it] 57%|█████▋ | 16/28 [00:28<00:20, 1.73s/it] 61%|██████ | 17/28 [00:29<00:18, 1.64s/it] 64%|██████▍ | 18/28 [00:31<00:16, 1.63s/it] 68%|██████▊ | 19/28 [00:32<00:14, 1.61s/it] 71%|███████▏ | 20/28 [00:34<00:12, 1.61s/it] 75%|███████▌ | 21/28 [00:36<00:11, 1.66s/it] 79%|███████▊ | 22/28 [00:37<00:09, 1.64s/it] 82%|████████▏ | 23/28 [00:39<00:08, 1.67s/it] 86%|████████▌ | 24/28 [00:41<00:06, 1.59s/it] 89%|████████▉ | 25/28 [00:42<00:04, 1.55s/it] 93%|█████████▎| 26/28 [00:44<00:03, 1.56s/it] 96%|█████████▋| 27/28 [00:45<00:01, 1.40s/it] 100%|██████████| 28/28 [00:45<00:00, 1.16s/it] 100%|██████████| 28/28 [00:45<00:00, 1.63s/it] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 9.4ms Speed: 3.0ms preprocess, 9.4ms inference, 23.8ms postprocess per image at shape (1, 3, 640, 640)