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Art by Jean Giraud with Artisanal SDXL
artisanal-sdxl:alpha-1
evevalentine2017
evevalentine2017
·
Mar 6
403
Input
prompt
Specify things to see in the output
1 succubus, detailed, gradient shadow, (best quality), temple, ritual, blood, art by Jean Giraud
negative_prompt
Specify things to not see in the output
unaestheticXL2v10, (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,
num_outputs
Number of output images
3
width
Output image width
768
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
1.2
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.
3308694647
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
Euler a
samping_steps
Number of denoising steps
43
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)
unaestheticXL2v10.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/58a25afb96774936a30878b813e7b45d/00000-3308694647.webp
https://files.tungsten.run/uploads/d605ead8767543819015ff6f92c99841/00001-3308694648.webp
https://files.tungsten.run/uploads/c6ac5b17ecc2425da96981e462467291/00002-3308694649.webp
Finished in 67.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1 succubus, detailed, gradient shadow, (best quality), temple, ritual, blood, art by Jean Giraud, <lora:add-detail-xl:1.2> Full negative prompt: unaestheticXL2v10, (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, 0%| | 0/43 [00:00<?, ?it/s] 2%|▏ | 1/43 [00:02<01:34, 2.25s/it] 5%|▍ | 2/43 [00:03<01:02, 1.51s/it] 7%|▋ | 3/43 [00:04<00:50, 1.27s/it] 9%|▉ | 4/43 [00:05<00:45, 1.16s/it] 12%|█▏ | 5/43 [00:06<00:41, 1.10s/it] 14%|█▍ | 6/43 [00:07<00:39, 1.06s/it] 16%|█▋ | 7/43 [00:08<00:37, 1.04s/it] 19%|█▊ | 8/43 [00:09<00:35, 1.03s/it] 21%|██ | 9/43 [00:10<00:34, 1.02s/it] 23%|██▎ | 10/43 [00:11<00:33, 1.01s/it] 26%|██▌ | 11/43 [00:12<00:32, 1.01s/it] 28%|██▊ | 12/43 [00:13<00:31, 1.01s/it] 30%|███ | 13/43 [00:14<00:30, 1.01s/it] 33%|███▎ | 14/43 [00:15<00:29, 1.01s/it] 35%|███▍ | 15/43 [00:16<00:28, 1.01s/it] 37%|███▋ | 16/43 [00:17<00:27, 1.01s/it] 40%|███▉ | 17/43 [00:18<00:26, 1.01s/it] 42%|████▏ | 18/43 [00:19<00:25, 1.01s/it] 44%|████▍ | 19/43 [00:20<00:24, 1.01s/it] 47%|████▋ | 20/43 [00:21<00:23, 1.01s/it] 49%|████▉ | 21/43 [00:22<00:22, 1.01s/it] 51%|█████ | 22/43 [00:23<00:21, 1.01s/it] 53%|█████▎ | 23/43 [00:24<00:20, 1.01s/it] 56%|█████▌ | 24/43 [00:25<00:19, 1.01s/it] 58%|█████▊ | 25/43 [00:26<00:18, 1.01s/it] 60%|██████ | 26/43 [00:27<00:17, 1.01s/it] 63%|██████▎ | 27/43 [00:28<00:16, 1.01s/it] 65%|██████▌ | 28/43 [00:29<00:15, 1.01s/it] 67%|██████▋ | 29/43 [00:30<00:14, 1.01s/it] 70%|██████▉ | 30/43 [00:31<00:13, 1.01s/it] 72%|███████▏ | 31/43 [00:32<00:12, 1.01s/it] 74%|███████▍ | 32/43 [00:33<00:11, 1.01s/it] 77%|███████▋ | 33/43 [00:34<00:10, 1.01s/it] 79%|███████▉ | 34/43 [00:35<00:09, 1.01s/it] 81%|████████▏ | 35/43 [00:36<00:08, 1.01s/it] 84%|████████▎ | 36/43 [00:37<00:07, 1.01s/it] 86%|████████▌ | 37/43 [00:38<00:06, 1.01s/it] 88%|████████▊ | 38/43 [00:39<00:05, 1.01s/it] 91%|█████████ | 39/43 [00:40<00:04, 1.01s/it] 93%|█████████▎| 40/43 [00:41<00:03, 1.01s/it] 95%|█████████▌| 41/43 [00:42<00:02, 1.00s/it] 98%|█████████▊| 42/43 [00:43<00:01, 1.00s/it] 100%|██████████| 43/43 [00:44<00:00, 1.00it/s] 100%|██████████| 43/43 [00:44<00:00, 1.03s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.04s 0: 640x480 1 face, 163.6ms Speed: 3.5ms preprocess, 163.6ms inference, 28.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:09, 2.08it/s] 10%|█ | 2/20 [00:00<00:07, 2.38it/s] 15%|█▌ | 3/20 [00:01<00:06, 2.62it/s] 20%|██ | 4/20 [00:01<00:05, 2.74it/s] 25%|██▌ | 5/20 [00:01<00:05, 2.79it/s] 30%|███ | 6/20 [00:02<00:04, 2.85it/s] 35%|███▌ | 7/20 [00:02<00:04, 2.86it/s] 40%|████ | 8/20 [00:02<00:04, 2.87it/s] 45%|████▌ | 9/20 [00:03<00:03, 2.91it/s] 50%|█████ | 10/20 [00:03<00:03, 2.89it/s] 55%|█████▌ | 11/20 [00:03<00:03, 2.88it/s] 60%|██████ | 12/20 [00:04<00:02, 2.89it/s] 65%|██████▌ | 13/20 [00:04<00:02, 2.91it/s] 70%|███████ | 14/20 [00:04<00:02, 2.92it/s] 75%|███████▌ | 15/20 [00:05<00:01, 2.95it/s] 80%|████████ | 16/20 [00:05<00:01, 2.97it/s] 85%|████████▌ | 17/20 [00:05<00:01, 2.94it/s] 90%|█████████ | 18/20 [00:06<00:00, 2.96it/s] 95%|█████████▌| 19/20 [00:06<00:00, 2.96it/s] 100%|██████████| 20/20 [00:07<00:00, 2.91it/s] 100%|██████████| 20/20 [00:07<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
1 succubus, detailed, gradient shadow, (best quality), temple, ritual, blood, art by Jean Giraud
negative_prompt
Specify things to not see in the output
unaestheticXL2v10, (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,
num_outputs
Number of output images
3
width
Output image width
768
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
1.2
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.
3308694647
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
Euler a
samping_steps
Number of denoising steps
43
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)
unaestheticXL2v10.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/58a25afb96774936a30878b813e7b45d/00000-3308694647.webp
https://files.tungsten.run/uploads/d605ead8767543819015ff6f92c99841/00001-3308694648.webp
https://files.tungsten.run/uploads/c6ac5b17ecc2425da96981e462467291/00002-3308694649.webp
Finished in 67.1 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: 1 succubus, detailed, gradient shadow, (best quality), temple, ritual, blood, art by Jean Giraud, <lora:add-detail-xl:1.2> Full negative prompt: unaestheticXL2v10, (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, 0%| | 0/43 [00:00<?, ?it/s] 2%|▏ | 1/43 [00:02<01:34, 2.25s/it] 5%|▍ | 2/43 [00:03<01:02, 1.51s/it] 7%|▋ | 3/43 [00:04<00:50, 1.27s/it] 9%|▉ | 4/43 [00:05<00:45, 1.16s/it] 12%|█▏ | 5/43 [00:06<00:41, 1.10s/it] 14%|█▍ | 6/43 [00:07<00:39, 1.06s/it] 16%|█▋ | 7/43 [00:08<00:37, 1.04s/it] 19%|█▊ | 8/43 [00:09<00:35, 1.03s/it] 21%|██ | 9/43 [00:10<00:34, 1.02s/it] 23%|██▎ | 10/43 [00:11<00:33, 1.01s/it] 26%|██▌ | 11/43 [00:12<00:32, 1.01s/it] 28%|██▊ | 12/43 [00:13<00:31, 1.01s/it] 30%|███ | 13/43 [00:14<00:30, 1.01s/it] 33%|███▎ | 14/43 [00:15<00:29, 1.01s/it] 35%|███▍ | 15/43 [00:16<00:28, 1.01s/it] 37%|███▋ | 16/43 [00:17<00:27, 1.01s/it] 40%|███▉ | 17/43 [00:18<00:26, 1.01s/it] 42%|████▏ | 18/43 [00:19<00:25, 1.01s/it] 44%|████▍ | 19/43 [00:20<00:24, 1.01s/it] 47%|████▋ | 20/43 [00:21<00:23, 1.01s/it] 49%|████▉ | 21/43 [00:22<00:22, 1.01s/it] 51%|█████ | 22/43 [00:23<00:21, 1.01s/it] 53%|█████▎ | 23/43 [00:24<00:20, 1.01s/it] 56%|█████▌ | 24/43 [00:25<00:19, 1.01s/it] 58%|█████▊ | 25/43 [00:26<00:18, 1.01s/it] 60%|██████ | 26/43 [00:27<00:17, 1.01s/it] 63%|██████▎ | 27/43 [00:28<00:16, 1.01s/it] 65%|██████▌ | 28/43 [00:29<00:15, 1.01s/it] 67%|██████▋ | 29/43 [00:30<00:14, 1.01s/it] 70%|██████▉ | 30/43 [00:31<00:13, 1.01s/it] 72%|███████▏ | 31/43 [00:32<00:12, 1.01s/it] 74%|███████▍ | 32/43 [00:33<00:11, 1.01s/it] 77%|███████▋ | 33/43 [00:34<00:10, 1.01s/it] 79%|███████▉ | 34/43 [00:35<00:09, 1.01s/it] 81%|████████▏ | 35/43 [00:36<00:08, 1.01s/it] 84%|████████▎ | 36/43 [00:37<00:07, 1.01s/it] 86%|████████▌ | 37/43 [00:38<00:06, 1.01s/it] 88%|████████▊ | 38/43 [00:39<00:05, 1.01s/it] 91%|█████████ | 39/43 [00:40<00:04, 1.01s/it] 93%|█████████▎| 40/43 [00:41<00:03, 1.01s/it] 95%|█████████▌| 41/43 [00:42<00:02, 1.00s/it] 98%|█████████▊| 42/43 [00:43<00:01, 1.00s/it] 100%|██████████| 43/43 [00:44<00:00, 1.00it/s] 100%|██████████| 43/43 [00:44<00:00, 1.03s/it] Decoding latents in cuda:0... done in 1.78s Move latents to cpu... done in 0.04s 0: 640x480 1 face, 163.6ms Speed: 3.5ms preprocess, 163.6ms inference, 28.1ms postprocess per image at shape (1, 3, 640, 480) 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:00<00:09, 2.08it/s] 10%|█ | 2/20 [00:00<00:07, 2.38it/s] 15%|█▌ | 3/20 [00:01<00:06, 2.62it/s] 20%|██ | 4/20 [00:01<00:05, 2.74it/s] 25%|██▌ | 5/20 [00:01<00:05, 2.79it/s] 30%|███ | 6/20 [00:02<00:04, 2.85it/s] 35%|███▌ | 7/20 [00:02<00:04, 2.86it/s] 40%|████ | 8/20 [00:02<00:04, 2.87it/s] 45%|████▌ | 9/20 [00:03<00:03, 2.91it/s] 50%|█████ | 10/20 [00:03<00:03, 2.89it/s] 55%|█████▌ | 11/20 [00:03<00:03, 2.88it/s] 60%|██████ | 12/20 [00:04<00:02, 2.89it/s] 65%|██████▌ | 13/20 [00:04<00:02, 2.91it/s] 70%|███████ | 14/20 [00:04<00:02, 2.92it/s] 75%|███████▌ | 15/20 [00:05<00:01, 2.95it/s] 80%|████████ | 16/20 [00:05<00:01, 2.97it/s] 85%|████████▌ | 17/20 [00:05<00:01, 2.94it/s] 90%|█████████ | 18/20 [00:06<00:00, 2.96it/s] 95%|█████████▌| 19/20 [00:06<00:00, 2.96it/s] 100%|██████████| 20/20 [00:07<00:00, 2.91it/s] 100%|██████████| 20/20 [00:07<00:00, 2.86it/s] Decoding latents in cuda:0... done in 0.58s Move latents to cpu... done in 0.0s 0: 640x480 (no detections), 8.0ms Speed: 2.4ms preprocess, 8.0ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x480 (no detections), 8.1ms Speed: 2.4ms preprocess, 8.1ms inference, 0.8ms postprocess per image at shape (1, 3, 640, 480) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.