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Polynesian Girl with Hello World SDXL
hello-world-sdxl:v3.2
evevalentine2017
evevalentine2017
·
Jan 26
367
Input
prompt
Specify things to see in the output
leogirl, Ultra-realistic 8k CG, masterpiece,best quality, (photorealistic:1.4), (EOS R8,50mm, F1.2, 8K, RAW portrait photo:1.2), HDR, Professional, a Dark-skinned woman, Straight long hair, perfect eyes, white background, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, looking at the viewer
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
true
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.
1344045162
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
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>
SDXL Detail.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)
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/24abdaa4aff445f6ace51eb3f51c3ac2/00000-1344045162.webp
https://files.tungsten.run/uploads/b5a6e3bb2cde4c94a116cee0efb20dba/00001-1344045163.webp
https://files.tungsten.run/uploads/06997ddfb5324b8eb76626cc68532402/00002-1344045164.webp
Finished in 137.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: leogirl, Ultra-realistic 8k CG, masterpiece,best quality, (photorealistic:1.4), (EOS R8,50mm, F1.2, 8K, RAW portrait photo:1.2), HDR, Professional, a Dark-skinned woman, Straight long hair, perfect eyes, white background, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, looking at the viewer 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:50, 3.82s/it] 7%|▋ | 2/30 [00:06<01:28, 3.15s/it] 10%|█ | 3/30 [00:09<01:19, 2.93s/it] 13%|█▎ | 4/30 [00:11<01:13, 2.84s/it] 17%|█▋ | 5/30 [00:14<01:09, 2.78s/it] 20%|██ | 6/30 [00:17<01:06, 2.76s/it] 23%|██▎ | 7/30 [00:19<01:03, 2.74s/it] 27%|██▋ | 8/30 [00:22<01:00, 2.73s/it] 30%|███ | 9/30 [00:25<00:57, 2.73s/it] 33%|███▎ | 10/30 [00:28<00:54, 2.73s/it] 37%|███▋ | 11/30 [00:30<00:51, 2.73s/it] 40%|████ | 12/30 [00:33<00:49, 2.73s/it] 43%|████▎ | 13/30 [00:36<00:46, 2.73s/it] 47%|████▋ | 14/30 [00:39<00:43, 2.74s/it] 50%|█████ | 15/30 [00:41<00:41, 2.75s/it] 53%|█████▎ | 16/30 [00:44<00:38, 2.75s/it] 57%|█████▋ | 17/30 [00:47<00:35, 2.76s/it] 60%|██████ | 18/30 [00:50<00:33, 2.78s/it] 63%|██████▎ | 19/30 [00:52<00:30, 2.79s/it] 67%|██████▋ | 20/30 [00:55<00:27, 2.79s/it] 70%|███████ | 21/30 [00:58<00:25, 2.79s/it] 73%|███████▎ | 22/30 [01:01<00:22, 2.80s/it] 77%|███████▋ | 23/30 [01:04<00:19, 2.81s/it] 80%|████████ | 24/30 [01:07<00:16, 2.82s/it] 83%|████████▎ | 25/30 [01:09<00:14, 2.82s/it] 87%|████████▋ | 26/30 [01:12<00:11, 2.83s/it] 90%|█████████ | 27/30 [01:15<00:08, 2.83s/it] 93%|█████████▎| 28/30 [01:18<00:05, 2.83s/it] 97%|█████████▋| 29/30 [01:21<00:02, 2.83s/it] 100%|██████████| 30/30 [01:22<00:00, 2.41s/it] 100%|██████████| 30/30 [01:22<00:00, 2.76s/it] Decoding latents in cuda:0... done in 2.45s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 29.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.19it/s] 14%|█▍ | 2/14 [00:01<00:10, 1.19it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.19it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.19it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.19it/s] 43%|████▎ | 6/14 [00:05<00:06, 1.19it/s] 50%|█████ | 7/14 [00:05<00:05, 1.19it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.19it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.19it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.19it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.19it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.19it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.19it/s] 100%|██████████| 14/14 [00:11<00:00, 1.40it/s] 100%|██████████| 14/14 [00:11<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.2ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.27it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.22it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.20it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.20it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.20it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.20it/s] 50%|█████ | 7/14 [00:05<00:05, 1.20it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.19it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.19it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.19it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.19it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.19it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.19it/s] 100%|██████████| 14/14 [00:11<00:00, 1.40it/s] 100%|██████████| 14/14 [00:11<00:00, 1.24it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 8.5ms Speed: 3.2ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.27it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.21it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.20it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.20it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.20it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.19it/s] 50%|█████ | 7/14 [00:05<00:05, 1.19it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.19it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.19it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.19it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.19it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.19it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.19it/s] 100%|██████████| 14/14 [00:11<00:00, 1.40it/s] 100%|██████████| 14/14 [00:11<00:00, 1.24it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.1ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
leogirl, Ultra-realistic 8k CG, masterpiece,best quality, (photorealistic:1.4), (EOS R8,50mm, F1.2, 8K, RAW portrait photo:1.2), HDR, Professional, a Dark-skinned woman, Straight long hair, perfect eyes, white background, <lora:SDXL Detail:1>
negative_prompt
Specify things to not see in the output
(worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, looking at the viewer
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
true
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.
1344045162
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
Restart
samping_steps
Number of denoising steps
30
cfg_scale
Scale for classifier-free guidance
4
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>
SDXL Detail.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)
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/24abdaa4aff445f6ace51eb3f51c3ac2/00000-1344045162.webp
https://files.tungsten.run/uploads/b5a6e3bb2cde4c94a116cee0efb20dba/00001-1344045163.webp
https://files.tungsten.run/uploads/06997ddfb5324b8eb76626cc68532402/00002-1344045164.webp
Finished in 137.7 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: leogirl, Ultra-realistic 8k CG, masterpiece,best quality, (photorealistic:1.4), (EOS R8,50mm, F1.2, 8K, RAW portrait photo:1.2), HDR, Professional, a Dark-skinned woman, Straight long hair, perfect eyes, white background, <lora:SDXL Detail:1> Full negative prompt: (worst quality, low resolution, bad hands, open mouth), distorted, twisted, watermark, looking at the viewer 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:03<01:50, 3.82s/it] 7%|▋ | 2/30 [00:06<01:28, 3.15s/it] 10%|█ | 3/30 [00:09<01:19, 2.93s/it] 13%|█▎ | 4/30 [00:11<01:13, 2.84s/it] 17%|█▋ | 5/30 [00:14<01:09, 2.78s/it] 20%|██ | 6/30 [00:17<01:06, 2.76s/it] 23%|██▎ | 7/30 [00:19<01:03, 2.74s/it] 27%|██▋ | 8/30 [00:22<01:00, 2.73s/it] 30%|███ | 9/30 [00:25<00:57, 2.73s/it] 33%|███▎ | 10/30 [00:28<00:54, 2.73s/it] 37%|███▋ | 11/30 [00:30<00:51, 2.73s/it] 40%|████ | 12/30 [00:33<00:49, 2.73s/it] 43%|████▎ | 13/30 [00:36<00:46, 2.73s/it] 47%|████▋ | 14/30 [00:39<00:43, 2.74s/it] 50%|█████ | 15/30 [00:41<00:41, 2.75s/it] 53%|█████▎ | 16/30 [00:44<00:38, 2.75s/it] 57%|█████▋ | 17/30 [00:47<00:35, 2.76s/it] 60%|██████ | 18/30 [00:50<00:33, 2.78s/it] 63%|██████▎ | 19/30 [00:52<00:30, 2.79s/it] 67%|██████▋ | 20/30 [00:55<00:27, 2.79s/it] 70%|███████ | 21/30 [00:58<00:25, 2.79s/it] 73%|███████▎ | 22/30 [01:01<00:22, 2.80s/it] 77%|███████▋ | 23/30 [01:04<00:19, 2.81s/it] 80%|████████ | 24/30 [01:07<00:16, 2.82s/it] 83%|████████▎ | 25/30 [01:09<00:14, 2.82s/it] 87%|████████▋ | 26/30 [01:12<00:11, 2.83s/it] 90%|█████████ | 27/30 [01:15<00:08, 2.83s/it] 93%|█████████▎| 28/30 [01:18<00:05, 2.83s/it] 97%|█████████▋| 29/30 [01:21<00:02, 2.83s/it] 100%|██████████| 30/30 [01:22<00:00, 2.41s/it] 100%|██████████| 30/30 [01:22<00:00, 2.76s/it] Decoding latents in cuda:0... done in 2.45s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.8ms Speed: 3.4ms preprocess, 7.8ms inference, 29.0ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.19it/s] 14%|█▍ | 2/14 [00:01<00:10, 1.19it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.19it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.19it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.19it/s] 43%|████▎ | 6/14 [00:05<00:06, 1.19it/s] 50%|█████ | 7/14 [00:05<00:05, 1.19it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.19it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.19it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.19it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.19it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.19it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.19it/s] 100%|██████████| 14/14 [00:11<00:00, 1.40it/s] 100%|██████████| 14/14 [00:11<00:00, 1.23it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.2ms preprocess, 7.2ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 2nd settings. 0: 640x640 1 face, 7.4ms Speed: 2.9ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.27it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.22it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.20it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.20it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.20it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.20it/s] 50%|█████ | 7/14 [00:05<00:05, 1.20it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.19it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.19it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.19it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.19it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.19it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.19it/s] 100%|██████████| 14/14 [00:11<00:00, 1.40it/s] 100%|██████████| 14/14 [00:11<00:00, 1.24it/s] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.3ms Speed: 3.0ms preprocess, 7.3ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 2nd settings. 0: 640x640 1 face, 8.5ms Speed: 3.2ms preprocess, 8.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/14 [00:00<?, ?it/s] 7%|▋ | 1/14 [00:00<00:10, 1.27it/s] 14%|█▍ | 2/14 [00:01<00:09, 1.21it/s] 21%|██▏ | 3/14 [00:02<00:09, 1.20it/s] 29%|██▊ | 4/14 [00:03<00:08, 1.20it/s] 36%|███▌ | 5/14 [00:04<00:07, 1.20it/s] 43%|████▎ | 6/14 [00:04<00:06, 1.19it/s] 50%|█████ | 7/14 [00:05<00:05, 1.19it/s] 57%|█████▋ | 8/14 [00:06<00:05, 1.19it/s] 64%|██████▍ | 9/14 [00:07<00:04, 1.19it/s] 71%|███████▏ | 10/14 [00:08<00:03, 1.19it/s] 79%|███████▊ | 11/14 [00:09<00:02, 1.19it/s] 86%|████████▌ | 12/14 [00:10<00:01, 1.19it/s] 93%|█████████▎| 13/14 [00:10<00:00, 1.19it/s] 100%|██████████| 14/14 [00:11<00:00, 1.40it/s] 100%|██████████| 14/14 [00:11<00:00, 1.24it/s] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.2ms Speed: 3.1ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. Uploading outputs... Finished.