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Chibi Picnic with Bolero Mix XL
bolero-mix-xl:v1.1
evevalentine2017
evevalentine2017
·
Jun 5
5
Input
prompt
Specify things to see in the output
masterpiece, ultra-detailed, best quality, 8K, illustration, a lot of (ultra cute) chibis are having fun in a forest, (having a picnic), golden hour, light particles, joy, love, fun, <lora:add-detail-xl:1>
negative_prompt
Specify things to not see in the output
negativeXL_D, (worst quality, extra legs, extra arms, extra ears, bad fingers, extra fingers, bad anatomy, missing fingers, lowres, username, artist name, text, cartoon, bar censor, censored, multipul angle, split view:1.0)
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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.
1221545863
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++ 2M Karras
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add-detail-xl.safetensors
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)
negativeXL_D.safetensors
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/ddb63eeb518549878db8360c17ede13f/00000-1221545863.webp
https://files.tungsten.run/uploads/d757cc0e253349d395cd4e5429b7c0df/00001-1221545864.webp
https://files.tungsten.run/uploads/5b642f82095d4c0498b6c5b7c60afb3d/00002-1221545865.webp
Finished in 116.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, ultra-detailed, best quality, 8K, illustration, a lot of (ultra cute) chibis are having fun in a forest, (having a picnic), golden hour, light particles, joy, love, fun Full negative prompt: negativeXL_D, (worst quality, extra legs, extra arms, extra ears, bad fingers, extra fingers, bad anatomy, missing fingers, lowres, username, artist name, text, cartoon, bar censor, censored, multipul angle, split view:1.0) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:28, 1.25s/it] 8%|▊ | 2/24 [00:02<00:27, 1.25s/it] 12%|█▎ | 3/24 [00:03<00:26, 1.26s/it] 17%|█▋ | 4/24 [00:05<00:25, 1.26s/it] 21%|██ | 5/24 [00:06<00:24, 1.27s/it] 25%|██▌ | 6/24 [00:07<00:22, 1.27s/it] 29%|██▉ | 7/24 [00:08<00:21, 1.27s/it] 33%|███▎ | 8/24 [00:10<00:20, 1.27s/it] 38%|███▊ | 9/24 [00:11<00:19, 1.28s/it] 42%|████▏ | 10/24 [00:12<00:17, 1.28s/it] 46%|████▌ | 11/24 [00:13<00:16, 1.28s/it] 50%|█████ | 12/24 [00:15<00:15, 1.28s/it] 54%|█████▍ | 13/24 [00:16<00:14, 1.28s/it] 58%|█████▊ | 14/24 [00:17<00:12, 1.28s/it] 62%|██████▎ | 15/24 [00:19<00:11, 1.28s/it] 67%|██████▋ | 16/24 [00:20<00:10, 1.28s/it] 71%|███████ | 17/24 [00:21<00:09, 1.29s/it] 75%|███████▌ | 18/24 [00:22<00:07, 1.29s/it] 79%|███████▉ | 19/24 [00:24<00:06, 1.29s/it] 83%|████████▎ | 20/24 [00:25<00:05, 1.29s/it] 88%|████████▊ | 21/24 [00:26<00:03, 1.29s/it] 92%|█████████▏| 22/24 [00:28<00:02, 1.30s/it] 96%|█████████▌| 23/24 [00:29<00:01, 1.30s/it] 100%|██████████| 24/24 [00:30<00:00, 1.30s/it] 100%|██████████| 24/24 [00:30<00:00, 1.28s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.02s 0: 640x640 7 faces, 6.3ms Speed: 2.5ms preprocess, 6.3ms inference, 19.4ms postprocess per image at shape (1, 3, 640, 640)
prompt
Specify things to see in the output
masterpiece, ultra-detailed, best quality, 8K, illustration, a lot of (ultra cute) chibis are having fun in a forest, (having a picnic), golden hour, light particles, joy, love, fun, <lora:add-detail-xl:1>
negative_prompt
Specify things to not see in the output
negativeXL_D, (worst quality, extra legs, extra arms, extra ears, bad fingers, extra fingers, bad anatomy, missing fingers, lowres, username, artist name, text, cartoon, bar censor, censored, multipul angle, split view:1.0)
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
1024
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.
1221545863
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++ 2M Karras
samping_steps
Number of denoising steps
24
cfg_scale
Scale for classifier-free guidance
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
sdxl_vae.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
add-detail-xl.safetensors
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)
negativeXL_D.safetensors
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/ddb63eeb518549878db8360c17ede13f/00000-1221545863.webp
https://files.tungsten.run/uploads/d757cc0e253349d395cd4e5429b7c0df/00001-1221545864.webp
https://files.tungsten.run/uploads/5b642f82095d4c0498b6c5b7c60afb3d/00002-1221545865.webp
Finished in 116.4 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: masterpiece, ultra-detailed, best quality, 8K, illustration, a lot of (ultra cute) chibis are having fun in a forest, (having a picnic), golden hour, light particles, joy, love, fun Full negative prompt: negativeXL_D, (worst quality, extra legs, extra arms, extra ears, bad fingers, extra fingers, bad anatomy, missing fingers, lowres, username, artist name, text, cartoon, bar censor, censored, multipul angle, split view:1.0) 0%| | 0/24 [00:00<?, ?it/s] 4%|▍ | 1/24 [00:01<00:28, 1.25s/it] 8%|▊ | 2/24 [00:02<00:27, 1.25s/it] 12%|█▎ | 3/24 [00:03<00:26, 1.26s/it] 17%|█▋ | 4/24 [00:05<00:25, 1.26s/it] 21%|██ | 5/24 [00:06<00:24, 1.27s/it] 25%|██▌ | 6/24 [00:07<00:22, 1.27s/it] 29%|██▉ | 7/24 [00:08<00:21, 1.27s/it] 33%|███▎ | 8/24 [00:10<00:20, 1.27s/it] 38%|███▊ | 9/24 [00:11<00:19, 1.28s/it] 42%|████▏ | 10/24 [00:12<00:17, 1.28s/it] 46%|████▌ | 11/24 [00:13<00:16, 1.28s/it] 50%|█████ | 12/24 [00:15<00:15, 1.28s/it] 54%|█████▍ | 13/24 [00:16<00:14, 1.28s/it] 58%|█████▊ | 14/24 [00:17<00:12, 1.28s/it] 62%|██████▎ | 15/24 [00:19<00:11, 1.28s/it] 67%|██████▋ | 16/24 [00:20<00:10, 1.28s/it] 71%|███████ | 17/24 [00:21<00:09, 1.29s/it] 75%|███████▌ | 18/24 [00:22<00:07, 1.29s/it] 79%|███████▉ | 19/24 [00:24<00:06, 1.29s/it] 83%|████████▎ | 20/24 [00:25<00:05, 1.29s/it] 88%|████████▊ | 21/24 [00:26<00:03, 1.29s/it] 92%|█████████▏| 22/24 [00:28<00:02, 1.30s/it] 96%|█████████▌| 23/24 [00:29<00:01, 1.30s/it] 100%|██████████| 24/24 [00:30<00:00, 1.30s/it] 100%|██████████| 24/24 [00:30<00:00, 1.28s/it] Decoding latents in cuda:0... done in 2.33s Move latents to cpu... done in 0.02s 0: 640x640 7 faces, 6.3ms Speed: 2.5ms preprocess, 6.3ms inference, 19.4ms postprocess per image at shape (1, 3, 640, 640)