tungsten-logo
Sign In
Owls with Canvas Dark SDXL
canvas-dark-sdxl:v1.0
evevalentine2017
evevalentine2017
·
Feb 29
376
Input
prompt
Specify things to see in the output
rainbow theme, black theme, an owl, glass sitting on a branch in a forest, in front of a stained glass window, night time, moonlight, intricate detail on the glass, highly detailed owl, amazingly detailed feathers, luminous eyes, luminous eyes, ultra realistic, hyperrealism,
negative_prompt
Specify things to not see in the output
worst quality, (low quality, normal quality:1.3)
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.
2876784556
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
35
cfg_scale
Scale for classifier-free guidance
10
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/afd42435486f49cb8a8d6cf16e9c2256/00000-2876784556.webp
https://files.tungsten.run/uploads/ac41b8495acb4ce0bd12a61802731c71/00001-2876784557.webp
https://files.tungsten.run/uploads/9da99302b500437e9124ac1f79b1735c/00002-2876784558.webp
Finished in 57.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: rainbow theme, black theme, an owl, glass sitting on a branch in a forest, in front of a stained glass window, night time, moonlight, intricate detail on the glass, highly detailed owl, amazingly detailed feathers, luminous eyes, luminous eyes, ultra realistic, hyperrealism, Full negative prompt: worst quality, (low quality, normal quality:1.3) 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:44, 1.30s/it] 6%|▌ | 2/35 [00:02<00:43, 1.30s/it] 9%|▊ | 3/35 [00:03<00:41, 1.31s/it] 11%|█▏ | 4/35 [00:05<00:40, 1.31s/it] 14%|█▍ | 5/35 [00:06<00:39, 1.31s/it] 17%|█▋ | 6/35 [00:07<00:37, 1.31s/it] 20%|██ | 7/35 [00:09<00:36, 1.32s/it] 23%|██▎ | 8/35 [00:10<00:35, 1.32s/it] 26%|██▌ | 9/35 [00:11<00:34, 1.32s/it] 29%|██▊ | 10/35 [00:13<00:33, 1.33s/it] 31%|███▏ | 11/35 [00:14<00:31, 1.33s/it] 34%|███▍ | 12/35 [00:15<00:30, 1.34s/it] 37%|███▋ | 13/35 [00:17<00:29, 1.34s/it] 40%|████ | 14/35 [00:18<00:28, 1.34s/it] 43%|████▎ | 15/35 [00:19<00:26, 1.34s/it] 46%|████▌ | 16/35 [00:21<00:25, 1.34s/it] 49%|████▊ | 17/35 [00:22<00:24, 1.34s/it] 51%|█████▏ | 18/35 [00:23<00:22, 1.35s/it] 54%|█████▍ | 19/35 [00:25<00:21, 1.35s/it] 57%|█████▋ | 20/35 [00:26<00:20, 1.35s/it] 60%|██████ | 21/35 [00:27<00:18, 1.35s/it] 63%|██████▎ | 22/35 [00:29<00:17, 1.35s/it] 66%|██████▌ | 23/35 [00:30<00:16, 1.35s/it] 69%|██████▊ | 24/35 [00:32<00:14, 1.35s/it] 71%|███████▏ | 25/35 [00:33<00:13, 1.36s/it] 74%|███████▍ | 26/35 [00:34<00:12, 1.36s/it] 77%|███████▋ | 27/35 [00:36<00:10, 1.36s/it] 80%|████████ | 28/35 [00:37<00:09, 1.36s/it] 83%|████████▎ | 29/35 [00:38<00:08, 1.36s/it] 86%|████████▌ | 30/35 [00:40<00:06, 1.36s/it] 89%|████████▊ | 31/35 [00:41<00:05, 1.36s/it] 91%|█████████▏| 32/35 [00:42<00:04, 1.36s/it] 94%|█████████▍| 33/35 [00:44<00:02, 1.36s/it] 97%|█████████▋| 34/35 [00:45<00:01, 1.37s/it] 100%|██████████| 35/35 [00:47<00:00, 1.37s/it] 100%|██████████| 35/35 [00:47<00:00, 1.34s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.5ms Speed: 3.7ms preprocess, 7.5ms inference, 9.4ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.
prompt
Specify things to see in the output
rainbow theme, black theme, an owl, glass sitting on a branch in a forest, in front of a stained glass window, night time, moonlight, intricate detail on the glass, highly detailed owl, amazingly detailed feathers, luminous eyes, luminous eyes, ultra realistic, hyperrealism,
negative_prompt
Specify things to not see in the output
worst quality, (low quality, normal quality:1.3)
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.
2876784556
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
35
cfg_scale
Scale for classifier-free guidance
10
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/afd42435486f49cb8a8d6cf16e9c2256/00000-2876784556.webp
https://files.tungsten.run/uploads/ac41b8495acb4ce0bd12a61802731c71/00001-2876784557.webp
https://files.tungsten.run/uploads/9da99302b500437e9124ac1f79b1735c/00002-2876784558.webp
Finished in 57.9 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: rainbow theme, black theme, an owl, glass sitting on a branch in a forest, in front of a stained glass window, night time, moonlight, intricate detail on the glass, highly detailed owl, amazingly detailed feathers, luminous eyes, luminous eyes, ultra realistic, hyperrealism, Full negative prompt: worst quality, (low quality, normal quality:1.3) 0%| | 0/35 [00:00<?, ?it/s] 3%|▎ | 1/35 [00:01<00:44, 1.30s/it] 6%|▌ | 2/35 [00:02<00:43, 1.30s/it] 9%|▊ | 3/35 [00:03<00:41, 1.31s/it] 11%|█▏ | 4/35 [00:05<00:40, 1.31s/it] 14%|█▍ | 5/35 [00:06<00:39, 1.31s/it] 17%|█▋ | 6/35 [00:07<00:37, 1.31s/it] 20%|██ | 7/35 [00:09<00:36, 1.32s/it] 23%|██▎ | 8/35 [00:10<00:35, 1.32s/it] 26%|██▌ | 9/35 [00:11<00:34, 1.32s/it] 29%|██▊ | 10/35 [00:13<00:33, 1.33s/it] 31%|███▏ | 11/35 [00:14<00:31, 1.33s/it] 34%|███▍ | 12/35 [00:15<00:30, 1.34s/it] 37%|███▋ | 13/35 [00:17<00:29, 1.34s/it] 40%|████ | 14/35 [00:18<00:28, 1.34s/it] 43%|████▎ | 15/35 [00:19<00:26, 1.34s/it] 46%|████▌ | 16/35 [00:21<00:25, 1.34s/it] 49%|████▊ | 17/35 [00:22<00:24, 1.34s/it] 51%|█████▏ | 18/35 [00:23<00:22, 1.35s/it] 54%|█████▍ | 19/35 [00:25<00:21, 1.35s/it] 57%|█████▋ | 20/35 [00:26<00:20, 1.35s/it] 60%|██████ | 21/35 [00:27<00:18, 1.35s/it] 63%|██████▎ | 22/35 [00:29<00:17, 1.35s/it] 66%|██████▌ | 23/35 [00:30<00:16, 1.35s/it] 69%|██████▊ | 24/35 [00:32<00:14, 1.35s/it] 71%|███████▏ | 25/35 [00:33<00:13, 1.36s/it] 74%|███████▍ | 26/35 [00:34<00:12, 1.36s/it] 77%|███████▋ | 27/35 [00:36<00:10, 1.36s/it] 80%|████████ | 28/35 [00:37<00:09, 1.36s/it] 83%|████████▎ | 29/35 [00:38<00:08, 1.36s/it] 86%|████████▌ | 30/35 [00:40<00:06, 1.36s/it] 89%|████████▊ | 31/35 [00:41<00:05, 1.36s/it] 91%|█████████▏| 32/35 [00:42<00:04, 1.36s/it] 94%|█████████▍| 33/35 [00:44<00:02, 1.36s/it] 97%|█████████▋| 34/35 [00:45<00:01, 1.37s/it] 100%|██████████| 35/35 [00:47<00:00, 1.37s/it] 100%|██████████| 35/35 [00:47<00:00, 1.34s/it] Decoding latents in cuda:0... done in 2.42s Move latents to cpu... done in 0.03s 0: 640x640 (no detections), 7.5ms Speed: 3.7ms preprocess, 7.5ms inference, 9.4ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 2.9ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 2 with 1st settings. 0: 640x640 (no detections), 7.2ms Speed: 3.0ms preprocess, 7.2ms inference, 0.7ms postprocess per image at shape (1, 3, 640, 640) [-] ADetailer: nothing detected on image 3 with 1st settings. Uploading outputs... Finished.