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Astral Entities with Hybrid Reality
hybrid-reality:v1.0
evevalentine2017
evevalentine2017
·
Jan 2
355
Input
prompt
Specify things to see in the output
high quality, highly detailed, Picture a surreal dreamscape where reality and imagination entwine, The canvas is bathed in an otherworldly glow, reminiscent of the luminescent brilliance found in the works of Maxfield Parrish, A soft, celestial radiance permeates the scene, casting enchanting shadows that dance upon the fantastical tableau, The central focus is a mythical creature, a hybrid of nature and fantasy a creature born of artistic whimsy, Its form is fluid, inspired by the flowing lines of art nouveau, with a touch of cubist abstraction, creating an ever-shifting visual narrative. The creature emanates a captivating aura, drawing viewers into a realm of wonder, by yukisakura, awesome full color, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo
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
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.3
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.
2247301342
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
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.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/f0fd783d18fa4e23b86af2007731cc86/00000-2247301342.webp
https://files.tungsten.run/uploads/5abd79919dee4f5fbb56986906ab4878/00001-2247301343.webp
https://files.tungsten.run/uploads/42a45cabd63840a2a204d1cc49d52fec/00002-2247301344.webp
https://files.tungsten.run/uploads/5a79d901bd4645fd95468a96d622cb2b/00003-2247301345.webp
Finished in 70.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: high quality, highly detailed, Picture a surreal dreamscape where reality and imagination entwine, The canvas is bathed in an otherworldly glow, reminiscent of the luminescent brilliance found in the works of Maxfield Parrish, A soft, celestial radiance permeates the scene, casting enchanting shadows that dance upon the fantastical tableau, The central focus is a mythical creature, a hybrid of nature and fantasy a creature born of artistic whimsy, Its form is fluid, inspired by the flowing lines of art nouveau, with a touch of cubist abstraction, creating an ever-shifting visual narrative. The creature emanates a captivating aura, drawing viewers into a realm of wonder, by yukisakura, awesome full color, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3> Full negative prompt: ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.27s/it] 7%|▋ | 2/30 [00:01<00:25, 1.12it/s] 10%|█ | 3/30 [00:02<00:20, 1.30it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.40it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.47it/s] 20%|██ | 6/30 [00:04<00:15, 1.50it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.53it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.55it/s] 30%|███ | 9/30 [00:06<00:13, 1.57it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.57it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.58it/s] 40%|████ | 12/30 [00:08<00:11, 1.58it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.58it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.58it/s] 50%|█████ | 15/30 [00:10<00:09, 1.58it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.58it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.58it/s] 60%|██████ | 18/30 [00:11<00:07, 1.58it/s] 63%|██████▎ | 19/30 [00:12<00:06, 1.58it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.58it/s] 70%|███████ | 21/30 [00:13<00:05, 1.58it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.58it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.58it/s] 80%|████████ | 24/30 [00:15<00:03, 1.58it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.58it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.57it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.57it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.57it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.53it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.57s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 28.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.62it/s] 12%|█▏ | 2/17 [00:00<00:04, 3.63it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.17it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.49it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.69it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.80it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.95it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.99it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.96it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.73it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.83it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.94it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.72it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.07it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.71it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.65it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.78it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.75it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.78it/s] 41%|████ | 7/17 [00:01<00:02, 4.74it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.72it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.78it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.72it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.90it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.97it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.93it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.84it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.97it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.99it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.01it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.97it/s] 35%|███▌ | 6/17 [00:01<00:02, 5.01it/s] 41%|████ | 7/17 [00:01<00:01, 5.02it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.98it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.88it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.89it/s] 71%|███████ | 12/17 [00:02<00:01, 4.92it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.87it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.98it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.00it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.90it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.94it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.93it/s] 41%|████ | 7/17 [00:01<00:02, 4.77it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.80it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.93it/s] 71%|███████ | 12/17 [00:02<00:01, 4.93it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.89it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.94it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.91it/s] 12%|█▏ | 2/17 [00:00<00:03, 5.00it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.02it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.03it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.01it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.93it/s] 41%|████ | 7/17 [00:01<00:02, 4.94it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.94it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.87it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.91it/s] 71%|███████ | 12/17 [00:02<00:01, 4.94it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.98it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.00it/s] 88%|████████▊ | 15/17 [00:03<00:00, 5.01it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.04it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.09it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.08it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.02it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.03it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.98it/s] 41%|████ | 7/17 [00:01<00:02, 5.00it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.99it/s] 59%|█████▉ | 10/17 [00:01<00:01, 5.00it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.95it/s] 71%|███████ | 12/17 [00:02<00:01, 4.90it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.91it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.93it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.98it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.94it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.98it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.91it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.85it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.88it/s] 41%|████ | 7/17 [00:01<00:02, 4.94it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 5.00it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.95it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.89it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.09it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.12it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.12it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.02it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.01it/s] 35%|███▌ | 6/17 [00:01<00:02, 5.00it/s] 41%|████ | 7/17 [00:01<00:01, 5.03it/s] 47%|████▋ | 8/17 [00:01<00:01, 5.00it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.97it/s] 59%|█████▉ | 10/17 [00:01<00:01, 4.98it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.96it/s] 71%|███████ | 12/17 [00:02<00:01, 4.97it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.99it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.89it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.98it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.95it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.47it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.70it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.84it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.94it/s] 41%|████ | 7/17 [00:01<00:02, 4.98it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.96it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.99it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.99it/s] 65%|██████▍ | 11/17 [00:02<00:01, 5.00it/s] 71%|███████ | 12/17 [00:02<00:00, 5.01it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.92it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.94it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.96it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
high quality, highly detailed, Picture a surreal dreamscape where reality and imagination entwine, The canvas is bathed in an otherworldly glow, reminiscent of the luminescent brilliance found in the works of Maxfield Parrish, A soft, celestial radiance permeates the scene, casting enchanting shadows that dance upon the fantastical tableau, The central focus is a mythical creature, a hybrid of nature and fantasy a creature born of artistic whimsy, Its form is fluid, inspired by the flowing lines of art nouveau, with a touch of cubist abstraction, creating an ever-shifting visual narrative. The creature emanates a captivating aura, drawing viewers into a realm of wonder, by yukisakura, awesome full color, <lora:epiCRealismHelper:1>
negative_prompt
Specify things to not see in the output
ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo
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
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
0.55
detail
Enhance/diminish detail while keeping the overall style/character
0
brightness
Adjust brightness
0.3
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.
2247301342
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
7
clip_skip
The number of last layers of CLIP network to skip
2
vae
Select VAE
blessed2_fp16.safetensors
lora_1
LoRA file. Apply by writing the following in prompt: <lora:FILE_NAME_WITHOUT_EXTENSION:MAGNITUDE>
epiCRealismHelper.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/f0fd783d18fa4e23b86af2007731cc86/00000-2247301342.webp
https://files.tungsten.run/uploads/5abd79919dee4f5fbb56986906ab4878/00001-2247301343.webp
https://files.tungsten.run/uploads/42a45cabd63840a2a204d1cc49d52fec/00002-2247301344.webp
https://files.tungsten.run/uploads/5a79d901bd4645fd95468a96d622cb2b/00003-2247301345.webp
Finished in 70.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/blessed2_fp16.safetensors Full prompt: high quality, highly detailed, Picture a surreal dreamscape where reality and imagination entwine, The canvas is bathed in an otherworldly glow, reminiscent of the luminescent brilliance found in the works of Maxfield Parrish, A soft, celestial radiance permeates the scene, casting enchanting shadows that dance upon the fantastical tableau, The central focus is a mythical creature, a hybrid of nature and fantasy a creature born of artistic whimsy, Its form is fluid, inspired by the flowing lines of art nouveau, with a touch of cubist abstraction, creating an ever-shifting visual narrative. The creature emanates a captivating aura, drawing viewers into a realm of wonder, by yukisakura, awesome full color, <lora:epiCRealismHelper:1>, <lora:add_brightness:0.3> Full negative prompt: ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft, closed eyes, text, logo 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:01<00:36, 1.27s/it] 7%|▋ | 2/30 [00:01<00:25, 1.12it/s] 10%|█ | 3/30 [00:02<00:20, 1.30it/s] 13%|█▎ | 4/30 [00:03<00:18, 1.40it/s] 17%|█▋ | 5/30 [00:03<00:17, 1.47it/s] 20%|██ | 6/30 [00:04<00:15, 1.50it/s] 23%|██▎ | 7/30 [00:05<00:15, 1.53it/s] 27%|██▋ | 8/30 [00:05<00:14, 1.55it/s] 30%|███ | 9/30 [00:06<00:13, 1.57it/s] 33%|███▎ | 10/30 [00:06<00:12, 1.57it/s] 37%|███▋ | 11/30 [00:07<00:12, 1.58it/s] 40%|████ | 12/30 [00:08<00:11, 1.58it/s] 43%|████▎ | 13/30 [00:08<00:10, 1.58it/s] 47%|████▋ | 14/30 [00:09<00:10, 1.58it/s] 50%|█████ | 15/30 [00:10<00:09, 1.58it/s] 53%|█████▎ | 16/30 [00:10<00:08, 1.58it/s] 57%|█████▋ | 17/30 [00:11<00:08, 1.58it/s] 60%|██████ | 18/30 [00:11<00:07, 1.58it/s] 63%|██████▎ | 19/30 [00:12<00:06, 1.58it/s] 67%|██████▋ | 20/30 [00:13<00:06, 1.58it/s] 70%|███████ | 21/30 [00:13<00:05, 1.58it/s] 73%|███████▎ | 22/30 [00:14<00:05, 1.58it/s] 77%|███████▋ | 23/30 [00:15<00:04, 1.58it/s] 80%|████████ | 24/30 [00:15<00:03, 1.58it/s] 83%|████████▎ | 25/30 [00:16<00:03, 1.58it/s] 87%|████████▋ | 26/30 [00:17<00:02, 1.57it/s] 90%|█████████ | 27/30 [00:17<00:01, 1.57it/s] 93%|█████████▎| 28/30 [00:18<00:01, 1.57it/s] 97%|█████████▋| 29/30 [00:18<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.57it/s] 100%|██████████| 30/30 [00:19<00:00, 1.53it/s] Decoding latents in cuda:0... =========================================== A tensor with all NaNs was produced in VAE. Converted VAE into 32-bit float and retry. =========================================== done in 1.57s Move latents to cpu... done in 0.02s 0: 640x640 1 face, 7.8ms Speed: 2.9ms preprocess, 7.8ms inference, 28.7ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:06, 2.62it/s] 12%|█▏ | 2/17 [00:00<00:04, 3.63it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.17it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.49it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.69it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.80it/s] 41%|████ | 7/17 [00:01<00:02, 4.88it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.95it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.99it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.96it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.73it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.83it/s] 82%|████████▏ | 14/17 [00:03<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.94it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.72it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.1ms Speed: 2.8ms preprocess, 7.1ms inference, 1.8ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.07it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.71it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.65it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.78it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.75it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.78it/s] 41%|████ | 7/17 [00:01<00:02, 4.74it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.72it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.78it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.72it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.83it/s] 71%|███████ | 12/17 [00:02<00:01, 4.90it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.97it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.93it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 4.86it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.84it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.97it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.99it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.01it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.97it/s] 35%|███▌ | 6/17 [00:01<00:02, 5.01it/s] 41%|████ | 7/17 [00:01<00:01, 5.02it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.98it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.88it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.89it/s] 71%|███████ | 12/17 [00:02<00:01, 4.92it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.87it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] 100%|██████████| 17/17 [00:03<00:00, 4.94it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.4ms Speed: 2.6ms preprocess, 7.4ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.98it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.00it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.90it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.94it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.93it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.93it/s] 41%|████ | 7/17 [00:01<00:02, 4.77it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.80it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.88it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.93it/s] 71%|███████ | 12/17 [00:02<00:01, 4.93it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.89it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.92it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.94it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 hand, 7.1ms Speed: 2.7ms preprocess, 7.1ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.91it/s] 12%|█▏ | 2/17 [00:00<00:03, 5.00it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.02it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.03it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.01it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.93it/s] 41%|████ | 7/17 [00:01<00:02, 4.94it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.94it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.87it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.93it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.91it/s] 71%|███████ | 12/17 [00:02<00:01, 4.94it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.98it/s] 82%|████████▏ | 14/17 [00:02<00:00, 5.00it/s] 88%|████████▊ | 15/17 [00:03<00:00, 5.01it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.95it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.6ms Speed: 2.8ms preprocess, 7.6ms inference, 1.4ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.04it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.09it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.08it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.02it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.03it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.98it/s] 41%|████ | 7/17 [00:01<00:02, 5.00it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.99it/s] 59%|█████▉ | 10/17 [00:01<00:01, 5.00it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.95it/s] 71%|███████ | 12/17 [00:02<00:01, 4.90it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.91it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.93it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.96it/s] 100%|██████████| 17/17 [00:03<00:00, 5.00it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] Decoding latents in cuda:0... done in 0.41s Move latents to cpu... done in 0.0s 0: 640x640 (no detections), 7.1ms Speed: 2.9ms preprocess, 7.1ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 2nd settings. 0: 640x640 1 face, 7.2ms Speed: 2.7ms preprocess, 7.2ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.98it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.94it/s] 18%|█▊ | 3/17 [00:00<00:02, 4.98it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.91it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.85it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.88it/s] 41%|████ | 7/17 [00:01<00:02, 4.94it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.97it/s] 53%|█████▎ | 9/17 [00:01<00:01, 5.00it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.94it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.95it/s] 71%|███████ | 12/17 [00:02<00:01, 4.95it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.95it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.89it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.92it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0: 640x640 2 hands, 7.5ms Speed: 2.7ms preprocess, 7.5ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 5.09it/s] 12%|█▏ | 2/17 [00:00<00:02, 5.12it/s] 18%|█▊ | 3/17 [00:00<00:02, 5.12it/s] 24%|██▎ | 4/17 [00:00<00:02, 5.02it/s] 29%|██▉ | 5/17 [00:00<00:02, 5.01it/s] 35%|███▌ | 6/17 [00:01<00:02, 5.00it/s] 41%|████ | 7/17 [00:01<00:01, 5.03it/s] 47%|████▋ | 8/17 [00:01<00:01, 5.00it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.97it/s] 59%|█████▉ | 10/17 [00:01<00:01, 4.98it/s] 65%|██████▍ | 11/17 [00:02<00:01, 4.96it/s] 71%|███████ | 12/17 [00:02<00:01, 4.97it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.99it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.90it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.89it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.89it/s] 100%|██████████| 17/17 [00:03<00:00, 4.90it/s] 100%|██████████| 17/17 [00:03<00:00, 4.97it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s 0%| | 0/17 [00:00<?, ?it/s] 6%|▌ | 1/17 [00:00<00:03, 4.98it/s] 12%|█▏ | 2/17 [00:00<00:03, 4.95it/s] 18%|█▊ | 3/17 [00:00<00:03, 4.47it/s] 24%|██▎ | 4/17 [00:00<00:02, 4.70it/s] 29%|██▉ | 5/17 [00:01<00:02, 4.84it/s] 35%|███▌ | 6/17 [00:01<00:02, 4.94it/s] 41%|████ | 7/17 [00:01<00:02, 4.98it/s] 47%|████▋ | 8/17 [00:01<00:01, 4.96it/s] 53%|█████▎ | 9/17 [00:01<00:01, 4.99it/s] 59%|█████▉ | 10/17 [00:02<00:01, 4.99it/s] 65%|██████▍ | 11/17 [00:02<00:01, 5.00it/s] 71%|███████ | 12/17 [00:02<00:00, 5.01it/s] 76%|███████▋ | 13/17 [00:02<00:00, 4.92it/s] 82%|████████▏ | 14/17 [00:02<00:00, 4.94it/s] 88%|████████▊ | 15/17 [00:03<00:00, 4.96it/s] 94%|█████████▍| 16/17 [00:03<00:00, 4.97it/s] 100%|██████████| 17/17 [00:03<00:00, 4.98it/s] 100%|██████████| 17/17 [00:03<00:00, 4.93it/s] Decoding latents in cuda:0... done in 0.42s Move latents to cpu... done in 0.0s Uploading outputs... Finished.