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Models with Art Supply XL
art-supply-xl:v1.0
evevalentine2017
evevalentine2017
·
Mar 9
366
Input
prompt
Specify things to see in the output
on the street, 1 model in a beaded flowers intertwining - trimmed by lime-pink shoelaces through the mesh romper, solo, the A-line romper is made of white mesh
negative_prompt
Specify things to not see in the output
distorted face, asian
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.
908396202
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
20
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>
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.
false
Output
https://files.tungsten.run/uploads/1000047840c0461db3a57fdb60abe0a3/00000-908396202.webp
https://files.tungsten.run/uploads/184c6d6a653f46c4aede4414c787ffb0/00001-908396203.webp
https://files.tungsten.run/uploads/272df10d84184896af23c4ec943b50f2/00002-908396204.webp
Finished in 49.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: on the street, 1 model in a beaded flowers intertwining - trimmed by lime-pink shoelaces through the mesh romper, solo, the A-line romper is made of white mesh Full negative prompt: distorted face, asian 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:25, 1.35s/it] 10%|█ | 2/20 [00:02<00:24, 1.36s/it] 15%|█▌ | 3/20 [00:04<00:23, 1.36s/it] 20%|██ | 4/20 [00:05<00:21, 1.36s/it] 25%|██▌ | 5/20 [00:06<00:20, 1.36s/it] 30%|███ | 6/20 [00:08<00:19, 1.36s/it] 35%|███▌ | 7/20 [00:09<00:17, 1.36s/it] 40%|████ | 8/20 [00:10<00:16, 1.36s/it] 45%|████▌ | 9/20 [00:12<00:14, 1.36s/it] 50%|█████ | 10/20 [00:13<00:13, 1.36s/it] 55%|█████▌ | 11/20 [00:14<00:12, 1.36s/it] 60%|██████ | 12/20 [00:16<00:10, 1.36s/it] 65%|██████▌ | 13/20 [00:17<00:09, 1.36s/it] 70%|███████ | 14/20 [00:19<00:08, 1.36s/it] 75%|███████▌ | 15/20 [00:20<00:06, 1.36s/it] 80%|████████ | 16/20 [00:21<00:05, 1.36s/it] 85%|████████▌ | 17/20 [00:23<00:04, 1.36s/it] 90%|█████████ | 18/20 [00:24<00:02, 1.36s/it] 95%|█████████▌| 19/20 [00:25<00:01, 1.36s/it] 100%|██████████| 20/20 [00:27<00:00, 1.36s/it] 100%|██████████| 20/20 [00:27<00:00, 1.36s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.09it/s] 20%|██ | 2/10 [00:00<00:03, 2.33it/s] 30%|███ | 3/10 [00:01<00:02, 2.34it/s] 40%|████ | 4/10 [00:01<00:02, 2.40it/s] 50%|█████ | 5/10 [00:02<00:02, 2.41it/s] 60%|██████ | 6/10 [00:02<00:01, 2.41it/s] 70%|███████ | 7/10 [00:02<00:01, 2.44it/s] 80%|████████ | 8/10 [00:03<00:00, 2.43it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.44it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] 100%|██████████| 10/10 [00:04<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.57it/s] 20%|██ | 2/10 [00:00<00:03, 2.54it/s] 30%|███ | 3/10 [00:01<00:02, 2.45it/s] 40%|████ | 4/10 [00:01<00:02, 2.46it/s] 50%|█████ | 5/10 [00:02<00:02, 2.45it/s] 60%|██████ | 6/10 [00:02<00:01, 2.45it/s] 70%|███████ | 7/10 [00:02<00:01, 2.45it/s] 80%|████████ | 8/10 [00:03<00:00, 2.43it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.45it/s] 100%|██████████| 10/10 [00:04<00:00, 2.44it/s] 100%|██████████| 10/10 [00:04<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.56it/s] 20%|██ | 2/10 [00:00<00:03, 2.54it/s] 30%|███ | 3/10 [00:01<00:02, 2.44it/s] 40%|████ | 4/10 [00:01<00:02, 2.47it/s] 50%|█████ | 5/10 [00:02<00:02, 2.44it/s] 60%|██████ | 6/10 [00:02<00:01, 2.44it/s] 70%|███████ | 7/10 [00:02<00:01, 2.44it/s] 80%|████████ | 8/10 [00:03<00:00, 2.42it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.43it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] 100%|██████████| 10/10 [00:04<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
on the street, 1 model in a beaded flowers intertwining - trimmed by lime-pink shoelaces through the mesh romper, solo, the A-line romper is made of white mesh
negative_prompt
Specify things to not see in the output
distorted face, asian
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.
908396202
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
20
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>
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.
false
https://files.tungsten.run/uploads/1000047840c0461db3a57fdb60abe0a3/00000-908396202.webp
https://files.tungsten.run/uploads/184c6d6a653f46c4aede4414c787ffb0/00001-908396203.webp
https://files.tungsten.run/uploads/272df10d84184896af23c4ec943b50f2/00002-908396204.webp
Finished in 49.2 seconds
Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: on the street, 1 model in a beaded flowers intertwining - trimmed by lime-pink shoelaces through the mesh romper, solo, the A-line romper is made of white mesh Full negative prompt: distorted face, asian 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:01<00:25, 1.35s/it] 10%|█ | 2/20 [00:02<00:24, 1.36s/it] 15%|█▌ | 3/20 [00:04<00:23, 1.36s/it] 20%|██ | 4/20 [00:05<00:21, 1.36s/it] 25%|██▌ | 5/20 [00:06<00:20, 1.36s/it] 30%|███ | 6/20 [00:08<00:19, 1.36s/it] 35%|███▌ | 7/20 [00:09<00:17, 1.36s/it] 40%|████ | 8/20 [00:10<00:16, 1.36s/it] 45%|████▌ | 9/20 [00:12<00:14, 1.36s/it] 50%|█████ | 10/20 [00:13<00:13, 1.36s/it] 55%|█████▌ | 11/20 [00:14<00:12, 1.36s/it] 60%|██████ | 12/20 [00:16<00:10, 1.36s/it] 65%|██████▌ | 13/20 [00:17<00:09, 1.36s/it] 70%|███████ | 14/20 [00:19<00:08, 1.36s/it] 75%|███████▌ | 15/20 [00:20<00:06, 1.36s/it] 80%|████████ | 16/20 [00:21<00:05, 1.36s/it] 85%|████████▌ | 17/20 [00:23<00:04, 1.36s/it] 90%|█████████ | 18/20 [00:24<00:02, 1.36s/it] 95%|█████████▌| 19/20 [00:25<00:01, 1.36s/it] 100%|██████████| 20/20 [00:27<00:00, 1.36s/it] 100%|██████████| 20/20 [00:27<00:00, 1.36s/it] Decoding latents in cuda:0... done in 2.39s Move latents to cpu... done in 0.01s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:04, 2.09it/s] 20%|██ | 2/10 [00:00<00:03, 2.33it/s] 30%|███ | 3/10 [00:01<00:02, 2.34it/s] 40%|████ | 4/10 [00:01<00:02, 2.40it/s] 50%|█████ | 5/10 [00:02<00:02, 2.41it/s] 60%|██████ | 6/10 [00:02<00:01, 2.41it/s] 70%|███████ | 7/10 [00:02<00:01, 2.44it/s] 80%|████████ | 8/10 [00:03<00:00, 2.43it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.44it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] 100%|██████████| 10/10 [00:04<00:00, 2.40it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.57it/s] 20%|██ | 2/10 [00:00<00:03, 2.54it/s] 30%|███ | 3/10 [00:01<00:02, 2.45it/s] 40%|████ | 4/10 [00:01<00:02, 2.46it/s] 50%|█████ | 5/10 [00:02<00:02, 2.45it/s] 60%|██████ | 6/10 [00:02<00:01, 2.45it/s] 70%|███████ | 7/10 [00:02<00:01, 2.45it/s] 80%|████████ | 8/10 [00:03<00:00, 2.43it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.45it/s] 100%|██████████| 10/10 [00:04<00:00, 2.44it/s] 100%|██████████| 10/10 [00:04<00:00, 2.45it/s] Decoding latents in cuda:0... done in 0.8s Move latents to cpu... done in 0.0s 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:00<00:03, 2.56it/s] 20%|██ | 2/10 [00:00<00:03, 2.54it/s] 30%|███ | 3/10 [00:01<00:02, 2.44it/s] 40%|████ | 4/10 [00:01<00:02, 2.47it/s] 50%|█████ | 5/10 [00:02<00:02, 2.44it/s] 60%|██████ | 6/10 [00:02<00:01, 2.44it/s] 70%|███████ | 7/10 [00:02<00:01, 2.44it/s] 80%|████████ | 8/10 [00:03<00:00, 2.42it/s] 90%|█████████ | 9/10 [00:03<00:00, 2.43it/s] 100%|██████████| 10/10 [00:04<00:00, 2.42it/s] 100%|██████████| 10/10 [00:04<00:00, 2.44it/s] Decoding latents in cuda:0... done in 0.79s Move latents to cpu... done in 0.0s Uploading outputs... Finished.