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atomix-anime
atomix-anime

atomix-anime

4 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
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/952ae10908144e3eb8001898a910fa4d/00000-2251948435.webp
https://files.tungsten.run/uploads/e65ca85221354c968a8065759ebd218b/00001-2251948436.webp
https://files.tungsten.run/uploads/8897b0fe0f07442b9b70b33e8947c1d3/00002-2251948437.webp
https://files.tungsten.run/uploads/c9ada1b5747441eaa966de2ee68dcf0d/00003-2251948438.webp
This example was created by evevalentine2017
Finished in 45.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: Cinematic still of girl holding shopping bag full of vegetables with paws, shopping with smile in a market. . Shallow depth of field, vignette, highly detailed, high budget, bokeh, Cinemascope, moody, epic, gorgeous, film grain, grainy, Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.50it/s] 10%|█ | 2/20 [00:01<00:12, 1.46it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.47it/s] 20%|██ | 4/20 [00:02<00:10, 1.46it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.45it/s] 30%|███ | 6/20 [00:04<00:09, 1.45it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.46it/s] 40%|████ | 8/20 [00:05<00:08, 1.45it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.45it/s] 50%|█████ | 10/20 [00:06<00:06, 1.45it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.45it/s] 60%|██████ | 12/20 [00:08<00:05, 1.45it/s] 65%|██████▌ | 13/20 [00:08<00:04, 1.46it/s] 70%|███████ | 14/20 [00:09<00:04, 1.45it/s] 75%|███████▌ | 15/20 [00:10<00:03, 1.45it/s] 80%|████████ | 16/20 [00:10<00:02, 1.46it/s] 85%|████████▌ | 17/20 [00:11<00:02, 1.45it/s] 90%|█████████ | 18/20 [00:12<00:01, 1.45it/s] 95%|█████████▌| 19/20 [00:13<00:00, 1.45it/s] 100%|██████████| 20/20 [00:13<00:00, 1.45it/s] 100%|██████████| 20/20 [00:13<00:00, 1.45it/s] Decoding latents in cuda:0... done in 0.96s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:02, 3.38it/s] 20%|██ | 2/10 [00:00<00:01, 4.74it/s] 30%|███ | 3/10 [00:00<00:01, 5.39it/s] 40%|████ | 4/10 [00:00<00:01, 5.80it/s] 50%|█████ | 5/10 [00:00<00:00, 6.03it/s] 60%|██████ | 6/10 [00:01<00:00, 6.06it/s] 70%|███████ | 7/10 [00:01<00:00, 6.11it/s] 80%|████████ | 8/10 [00:01<00:00, 6.14it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.20it/s] 100%|██████████| 10/10 [00:01<00:00, 6.28it/s] 100%|██████████| 10/10 [00:01<00:00, 5.86it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.92it/s] 20%|██ | 2/10 [00:00<00:01, 6.72it/s] 30%|███ | 3/10 [00:00<00:01, 6.62it/s] 40%|████ | 4/10 [00:00<00:00, 6.59it/s] 50%|█████ | 5/10 [00:00<00:00, 6.56it/s] 60%|██████ | 6/10 [00:00<00:00, 6.46it/s] 70%|███████ | 7/10 [00:01<00:00, 6.34it/s] 80%|████████ | 8/10 [00:01<00:00, 6.28it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.25it/s] 100%|██████████| 10/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.42it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.72it/s] 20%|██ | 2/10 [00:00<00:01, 6.60it/s] 30%|███ | 3/10 [00:00<00:01, 6.60it/s] 40%|████ | 4/10 [00:00<00:00, 6.59it/s] 50%|█████ | 5/10 [00:00<00:00, 6.41it/s] 60%|██████ | 6/10 [00:00<00:00, 6.32it/s] 70%|███████ | 7/10 [00:01<00:00, 6.29it/s] 80%|████████ | 8/10 [00:01<00:00, 6.30it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.35it/s] 100%|██████████| 10/10 [00:01<00:00, 6.37it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.93it/s] 20%|██ | 2/10 [00:00<00:01, 6.70it/s] 30%|███ | 3/10 [00:00<00:01, 6.66it/s] 40%|████ | 4/10 [00:00<00:00, 6.63it/s] 50%|█████ | 5/10 [00:00<00:00, 6.60it/s] 60%|██████ | 6/10 [00:00<00:00, 6.45it/s] 70%|███████ | 7/10 [00:01<00:00, 6.34it/s] 80%|████████ | 8/10 [00:01<00:00, 6.28it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.26it/s] 100%|██████████| 10/10 [00:01<00:00, 6.33it/s] 100%|██████████| 10/10 [00:01<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.95it/s] 20%|██ | 2/10 [00:00<00:01, 6.74it/s] 30%|███ | 3/10 [00:00<00:01, 6.62it/s] 40%|████ | 4/10 [00:00<00:00, 6.60it/s] 50%|█████ | 5/10 [00:00<00:00, 6.60it/s] 60%|██████ | 6/10 [00:00<00:00, 6.45it/s] 70%|███████ | 7/10 [00:01<00:00, 6.35it/s] 80%|████████ | 8/10 [00:01<00:00, 6.29it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.29it/s] 100%|██████████| 10/10 [00:01<00:00, 6.34it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.75it/s] 20%|██ | 2/10 [00:00<00:01, 6.62it/s] 30%|███ | 3/10 [00:00<00:01, 6.58it/s] 40%|████ | 4/10 [00:00<00:00, 6.58it/s] 50%|█████ | 5/10 [00:00<00:00, 6.41it/s] 60%|██████ | 6/10 [00:00<00:00, 6.29it/s] 70%|███████ | 7/10 [00:01<00:00, 6.24it/s] 80%|████████ | 8/10 [00:01<00:00, 6.28it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.35it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.93it/s] 20%|██ | 2/10 [00:00<00:01, 6.74it/s] 30%|███ | 3/10 [00:00<00:01, 6.65it/s] 40%|████ | 4/10 [00:00<00:00, 6.62it/s] 50%|█████ | 5/10 [00:00<00:00, 6.58it/s] 60%|██████ | 6/10 [00:00<00:00, 6.46it/s] 70%|███████ | 7/10 [00:01<00:00, 6.35it/s] 80%|████████ | 8/10 [00:01<00:00, 6.32it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.32it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.45it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.99it/s] 20%|██ | 2/10 [00:00<00:01, 6.72it/s] 30%|███ | 3/10 [00:00<00:01, 6.63it/s] 40%|████ | 4/10 [00:00<00:00, 6.63it/s] 50%|█████ | 5/10 [00:00<00:00, 6.62it/s] 60%|██████ | 6/10 [00:00<00:00, 6.51it/s] 70%|███████ | 7/10 [00:01<00:00, 6.40it/s] 80%|████████ | 8/10 [00:01<00:00, 6.36it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.34it/s] 100%|██████████| 10/10 [00:01<00:00, 6.37it/s] 100%|██████████| 10/10 [00:01<00:00, 6.47it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.57it/s] 20%|██ | 2/10 [00:00<00:01, 6.55it/s] 30%|███ | 3/10 [00:00<00:01, 6.57it/s] 40%|████ | 4/10 [00:00<00:00, 6.57it/s] 50%|█████ | 5/10 [00:00<00:00, 6.39it/s] 60%|██████ | 6/10 [00:00<00:00, 6.31it/s] 70%|███████ | 7/10 [00:01<00:00, 6.25it/s] 80%|████████ | 8/10 [00:01<00:00, 6.30it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.38it/s] 100%|██████████| 10/10 [00:01<00:00, 6.42it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.90it/s] 20%|██ | 2/10 [00:00<00:01, 6.71it/s] 30%|███ | 3/10 [00:00<00:01, 6.60it/s] 40%|████ | 4/10 [00:00<00:00, 6.58it/s] 50%|█████ | 5/10 [00:00<00:00, 6.57it/s] 60%|██████ | 6/10 [00:00<00:00, 6.42it/s] 70%|███████ | 7/10 [00:01<00:00, 6.34it/s] 80%|████████ | 8/10 [00:01<00:00, 6.28it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.29it/s] 100%|██████████| 10/10 [00:01<00:00, 6.36it/s] 100%|██████████| 10/10 [00:01<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.71it/s] 20%|██ | 2/10 [00:00<00:01, 6.63it/s] 30%|███ | 3/10 [00:00<00:01, 6.60it/s] 40%|████ | 4/10 [00:00<00:00, 6.59it/s] 50%|█████ | 5/10 [00:00<00:00, 6.41it/s] 60%|██████ | 6/10 [00:00<00:00, 6.36it/s] 70%|███████ | 7/10 [00:01<00:00, 6.35it/s] 80%|████████ | 8/10 [00:01<00:00, 6.36it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.39it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] 100%|██████████| 10/10 [00:01<00:00, 6.44it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.92it/s] 20%|██ | 2/10 [00:00<00:01, 6.67it/s] 30%|███ | 3/10 [00:00<00:01, 6.64it/s] 40%|████ | 4/10 [00:00<00:00, 6.61it/s] 50%|█████ | 5/10 [00:00<00:00, 6.60it/s] 60%|██████ | 6/10 [00:00<00:00, 6.45it/s] 70%|███████ | 7/10 [00:01<00:00, 6.35it/s] 80%|████████ | 8/10 [00:01<00:00, 6.27it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.29it/s] 100%|██████████| 10/10 [00:01<00:00, 6.33it/s] 100%|██████████| 10/10 [00:01<00:00, 6.43it/s] Decoding latents in cuda:0... done in 0.23s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:01, 6.67it/s] 20%|██ | 2/10 [00:00<00:01, 6.61it/s] 30%|███ | 3/10 [00:00<00:01, 6.61it/s] 40%|████ | 4/10 [00:00<00:00, 6.60it/s] 50%|█████ | 5/10 [00:00<00:00, 6.42it/s] 60%|██████ | 6/10 [00:00<00:00, 6.35it/s] 70%|███████ | 7/10 [00:01<00:00, 6.27it/s] 80%|████████ | 8/10 [00:01<00:00, 6.26it/s] 90%|█████████ | 9/10 [00:01<00:00, 6.35it/s] 100%|██████████| 10/10 [00:01<00:00, 6.40it/s] 100%|██████████| 10/10 [00:01<00:00, 6.41it/s] Decoding latents in cuda:0... done in 0.24s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
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/952ae10908144e3eb8001898a910fa4d/00000-2251948435.webp
https://files.tungsten.run/uploads/e65ca85221354c968a8065759ebd218b/00001-2251948436.webp
https://files.tungsten.run/uploads/8897b0fe0f07442b9b70b33e8947c1d3/00002-2251948437.webp
https://files.tungsten.run/uploads/c9ada1b5747441eaa966de2ee68dcf0d/00003-2251948438.webp
This example was created by evevalentine2017
Finished in 45.5 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/kl-f8-anime2_fp16.safetensors Full prompt: Cinematic still of girl holding shopping bag full of vegetables with paws, shopping with smile in a market. . Shallow depth of field, vignette, highly detailed, high budget, bokeh, Cinemascope, moody, epic, gorgeous, film grain, grainy, Full negative prompt: (worst quality, low quality:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation. tattoo, watermark, text, badhandv4, NegfeetV2 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:12, 1.50it/s] 10%|█ | 2/20 [00:01<00:12, 1.46it/s] 15%|█▌ | 3/20 [00:02<00:11, 1.47it/s] 20%|██ | 4/20 [00:02<00:10, 1.46it/s] 25%|██▌ | 5/20 [00:03<00:10, 1.45it/s] 30%|███ | 6/20 [00:04<00:09, 1.45it/s] 35%|███▌ | 7/20 [00:04<00:08, 1.46it/s] 40%|████ | 8/20 [00:05<00:08, 1.45it/s] 45%|████▌ | 9/20 [00:06<00:07, 1.45it/s] 50%|█████ | 10/20 [00:06<00:06, 1.45it/s] 55%|█████▌ | 11/20 [00:07<00:06, 1.45it/s] 60%|██████ | 12/20 [00:08<00:05, 1.45it/s] 65%|██████▌ | 13/20 [00:08<00:04, 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Finished.