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Girls in Action with MajicMix Fantasy
majicmix-fantasy:v3.0
evevalentine2017
evevalentine2017
·
12/14/2023
361
Input
prompt
Specify things to see in the output
(best quality, masterpiece, colorful, dynamic angle, highest detailed), <lora:FaceBeauty_qinglong_V3:1>, <lora:<lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
((cross-eyed)), (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, bad anatomy, nsfw, EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3050754797
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
30
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
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/800735a8afa94037ad722e639fe9541a/00000-3050754797.webp
https://files.tungsten.run/uploads/606aec90840a40129f912e34b7c61841/00001-3050754798.webp
https://files.tungsten.run/uploads/2af4b2f140134ac387970384f409ae4d/00002-3050754799.webp
https://files.tungsten.run/uploads/6355f1e95447483099eaa73e7ceb3776/00003-3050754800.webp
Finished in 23.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed), <lora:FaceBeauty_qinglong_V3:1>, <lora:<lora:add_detail:0.7> Full negative prompt: ((cross-eyed)), (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, bad anatomy, nsfw, EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f308aa23850>, <modules.extra_networks.ExtraNetworkParams object at 0x7f308aa200a0>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: 'add_detail' 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:19, 1.53it/s] 7%|▋ | 2/30 [00:01<00:19, 1.47it/s] 10%|█ | 3/30 [00:02<00:18, 1.48it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.48it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.47it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.47it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.47it/s] 30%|███ | 9/30 [00:06<00:14, 1.47it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.47it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.47it/s] 40%|████ | 12/30 [00:08<00:12, 1.47it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.47it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.47it/s] 50%|█████ | 15/30 [00:10<00:10, 1.47it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.46it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.46it/s] 60%|██████ | 18/30 [00:12<00:08, 1.46it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.46it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.47it/s] 70%|███████ | 21/30 [00:14<00:06, 1.46it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.46it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.46it/s] 80%|████████ | 24/30 [00:16<00:04, 1.46it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.47it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.46it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.46it/s] 100%|██████████| 30/30 [00:20<00:00, 1.46it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s Finished.
prompt
Specify things to see in the output
(best quality, masterpiece, colorful, dynamic angle, highest detailed), <lora:FaceBeauty_qinglong_V3:1>, <lora:<lora:add_detail:0.7>
negative_prompt
Specify things to not see in the output
((cross-eyed)), (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, bad anatomy, nsfw, EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)),
num_outputs
Number of output images
4
width
Output image width
768
height
Output image height
768
enhance_face_with_adetailer
Enhance face with adetailer
false
enhance_hands_with_adetailer
Enhance hands with adetailer
false
adetailer_denoising_strength
1: completely redraw face or hands / 0: no effect on output images
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0
contrast
Adjust contrast
0
saturation
Adjust saturation
0
seed
Same seed with the same prompt generates the same image. Set as -1 to randomize output.
3050754797
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
30
cfg_scale
Scale for classifier-free guidance
8.5
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
clearvae_v2.3_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
FaceBeauty_qinglong_V3.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)
EasyNegativeV2.safetensors
embedding_2
Embedding file (textural inversion). Apply by writing the following in prompt or negative prompt: (FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE)
ng_deepnegative_v1_75t.pt
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/800735a8afa94037ad722e639fe9541a/00000-3050754797.webp
https://files.tungsten.run/uploads/606aec90840a40129f912e34b7c61841/00001-3050754798.webp
https://files.tungsten.run/uploads/2af4b2f140134ac387970384f409ae4d/00002-3050754799.webp
https://files.tungsten.run/uploads/6355f1e95447483099eaa73e7ceb3776/00003-3050754800.webp
Finished in 23.0 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/clearvae_v2.3_fp16.safetensors Full prompt: (best quality, masterpiece, colorful, dynamic angle, highest detailed), <lora:FaceBeauty_qinglong_V3:1>, <lora:<lora:add_detail:0.7> Full negative prompt: ((cross-eyed)), (worst quality: 2), (low quality: 2), (normal quality: 2), lowres, bad anatomy, nsfw, EasyNegativeV2, ng_deepnegative_v1_75t, (worst quality:2), (low quality:2), (normal quality:2), lowres,bad anatomy, bad hands, normal quality, ((monochrome)), ((grayscale)), ((watermark)), activating extra network lora with arguments [<modules.extra_networks.ExtraNetworkParams object at 0x7f308aa23850>, <modules.extra_networks.ExtraNetworkParams object at 0x7f308aa200a0>]: ValueError Traceback (most recent call last): File "/tungsten/modules/extra_networks.py", line 105, in activate extra_network.activate(p, extra_network_args) File "/tungsten/extensions-builtin/Lora/extra_networks_lora.py", line 25, in activate te_multiplier = float(params.positional[1]) if len(params.positional) > 1 else 1.0 ValueError: could not convert string to float: 'add_detail' 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:19, 1.53it/s] 7%|▋ | 2/30 [00:01<00:19, 1.47it/s] 10%|█ | 3/30 [00:02<00:18, 1.48it/s] 13%|█▎ | 4/30 [00:02<00:17, 1.48it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.46it/s] 20%|██ | 6/30 [00:04<00:16, 1.47it/s] 23%|██▎ | 7/30 [00:04<00:15, 1.47it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.47it/s] 30%|███ | 9/30 [00:06<00:14, 1.47it/s] 33%|███▎ | 10/30 [00:06<00:13, 1.47it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.47it/s] 40%|████ | 12/30 [00:08<00:12, 1.47it/s] 43%|████▎ | 13/30 [00:08<00:11, 1.47it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.47it/s] 50%|█████ | 15/30 [00:10<00:10, 1.47it/s] 53%|█████▎ | 16/30 [00:10<00:09, 1.46it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.46it/s] 60%|██████ | 18/30 [00:12<00:08, 1.46it/s] 63%|██████▎ | 19/30 [00:12<00:07, 1.46it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.47it/s] 70%|███████ | 21/30 [00:14<00:06, 1.46it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.46it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.46it/s] 80%|████████ | 24/30 [00:16<00:04, 1.46it/s] 83%|████████▎ | 25/30 [00:17<00:03, 1.47it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.47it/s] 90%|█████████ | 27/30 [00:18<00:02, 1.47it/s] 93%|█████████▎| 28/30 [00:19<00:01, 1.46it/s] 97%|█████████▋| 29/30 [00:19<00:00, 1.46it/s] 100%|██████████| 30/30 [00:20<00:00, 1.46it/s] 100%|██████████| 30/30 [00:20<00:00, 1.47it/s] Decoding latents in cuda:0... done in 0.97s Move latents to cpu... done in 0.01s Finished.