tungsten-logo
Sign In
B&W Drawings with Run Diffusion XL
run-diffusion-xl:v1.0
evevalentine2017
evevalentine2017
·
Jan 30
365
Input
prompt
Specify things to see in the output
black and white drawing, a gnome mage inspecting a relic, artwork by Bernie Wrightson, Henry Justice Ford, detailed, ultra HD, 8 k,
negative_prompt
Specify things to not see in the output
cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w,
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.
3289176403
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++ SDE
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/401bb73aea1f43768b695c1813563311/00000-3289176403.webp
https://files.tungsten.run/uploads/954eab67612844c4a43e28699b799f48/00001-3289176404.webp
https://files.tungsten.run/uploads/089fc70674c0416194d7566890f563b1/00002-3289176405.webp
Finished in 164.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: black and white drawing, a gnome mage inspecting a relic, artwork by Bernie Wrightson, Henry Justice Ford, detailed, ultra HD, 8 k, Full negative prompt: cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:04<01:18, 4.11s/it] 10%|█ | 2/20 [00:09<01:31, 5.06s/it] 15%|█▌ | 3/20 [00:15<01:32, 5.45s/it] 20%|██ | 4/20 [00:21<01:27, 5.47s/it] 25%|██▌ | 5/20 [00:26<01:23, 5.56s/it] 30%|███ | 6/20 [00:32<01:18, 5.61s/it] 35%|███▌ | 7/20 [00:38<01:13, 5.65s/it] 40%|████ | 8/20 [00:44<01:08, 5.73s/it] 45%|████▌ | 9/20 [00:49<01:02, 5.69s/it] 50%|█████ | 10/20 [00:55<00:55, 5.58s/it] 55%|█████▌ | 11/20 [01:00<00:49, 5.53s/it] 60%|██████ | 12/20 [01:06<00:43, 5.50s/it] 65%|██████▌ | 13/20 [01:11<00:38, 5.45s/it] 70%|███████ | 14/20 [01:16<00:32, 5.47s/it] 75%|███████▌ | 15/20 [01:22<00:27, 5.47s/it] 80%|████████ | 16/20 [01:27<00:21, 5.45s/it] 85%|████████▌ | 17/20 [01:33<00:16, 5.39s/it] 90%|█████████ | 18/20 [01:38<00:10, 5.39s/it] 95%|█████████▌| 19/20 [01:42<00:04, 4.89s/it] 100%|██████████| 20/20 [01:43<00:00, 3.84s/it] 100%|██████████| 20/20 [01:43<00:00, 5.18s/it] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.8ms preprocess, 7.9ms inference, 18.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:15, 1.74s/it] 20%|██ | 2/10 [00:03<00:13, 1.68s/it] 30%|███ | 3/10 [00:04<00:11, 1.65s/it] 40%|████ | 4/10 [00:06<00:09, 1.66s/it] 50%|█████ | 5/10 [00:08<00:08, 1.67s/it] 60%|██████ | 6/10 [00:09<00:06, 1.66s/it] 70%|███████ | 7/10 [00:11<00:04, 1.65s/it] 80%|████████ | 8/10 [00:13<00:03, 1.65s/it] 90%|█████████ | 9/10 [00:14<00:01, 1.49s/it] 100%|██████████| 10/10 [00:14<00:00, 1.15s/it] 100%|██████████| 10/10 [00:14<00:00, 1.48s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:15, 1.68s/it] 20%|██ | 2/10 [00:03<00:13, 1.65s/it] 30%|███ | 3/10 [00:04<00:11, 1.65s/it] 40%|████ | 4/10 [00:06<00:10, 1.67s/it] 50%|█████ | 5/10 [00:08<00:08, 1.67s/it] 60%|██████ | 6/10 [00:09<00:06, 1.66s/it] 70%|███████ | 7/10 [00:11<00:04, 1.65s/it] 80%|████████ | 8/10 [00:13<00:03, 1.65s/it] 90%|█████████ | 9/10 [00:14<00:01, 1.48s/it] 100%|██████████| 10/10 [00:14<00:00, 1.15s/it] 100%|██████████| 10/10 [00:14<00:00, 1.48s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.67s/it] 20%|██ | 2/10 [00:03<00:13, 1.64s/it] 30%|███ | 3/10 [00:04<00:11, 1.66s/it] 40%|████ | 4/10 [00:06<00:10, 1.67s/it] 50%|█████ | 5/10 [00:08<00:08, 1.68s/it] 60%|██████ | 6/10 [00:09<00:06, 1.65s/it] 70%|███████ | 7/10 [00:11<00:04, 1.65s/it] 80%|████████ | 8/10 [00:13<00:03, 1.64s/it] 90%|█████████ | 9/10 [00:14<00:01, 1.47s/it] 100%|██████████| 10/10 [00:14<00:00, 1.14s/it] 100%|██████████| 10/10 [00:14<00:00, 1.47s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.
prompt
Specify things to see in the output
black and white drawing, a gnome mage inspecting a relic, artwork by Bernie Wrightson, Henry Justice Ford, detailed, ultra HD, 8 k,
negative_prompt
Specify things to not see in the output
cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w,
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.
3289176403
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++ SDE
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/401bb73aea1f43768b695c1813563311/00000-3289176403.webp
https://files.tungsten.run/uploads/954eab67612844c4a43e28699b799f48/00001-3289176404.webp
https://files.tungsten.run/uploads/089fc70674c0416194d7566890f563b1/00002-3289176405.webp
Finished in 164.0 seconds
Setting up the model... Preparing inputs... Processing... Loading VAE weight: models/VAE/sdxl_vae.safetensors Full prompt: black and white drawing, a gnome mage inspecting a relic, artwork by Bernie Wrightson, Henry Justice Ford, detailed, ultra HD, 8 k, Full negative prompt: cartoon, anime, painting, oil painting, deformed, ugly, bad quality, low quality, nsfw, nude. black and white, bw, b&w, 0%| | 0/20 [00:00<?, ?it/s] 5%|▌ | 1/20 [00:04<01:18, 4.11s/it] 10%|█ | 2/20 [00:09<01:31, 5.06s/it] 15%|█▌ | 3/20 [00:15<01:32, 5.45s/it] 20%|██ | 4/20 [00:21<01:27, 5.47s/it] 25%|██▌ | 5/20 [00:26<01:23, 5.56s/it] 30%|███ | 6/20 [00:32<01:18, 5.61s/it] 35%|███▌ | 7/20 [00:38<01:13, 5.65s/it] 40%|████ | 8/20 [00:44<01:08, 5.73s/it] 45%|████▌ | 9/20 [00:49<01:02, 5.69s/it] 50%|█████ | 10/20 [00:55<00:55, 5.58s/it] 55%|█████▌ | 11/20 [01:00<00:49, 5.53s/it] 60%|██████ | 12/20 [01:06<00:43, 5.50s/it] 65%|██████▌ | 13/20 [01:11<00:38, 5.45s/it] 70%|███████ | 14/20 [01:16<00:32, 5.47s/it] 75%|███████▌ | 15/20 [01:22<00:27, 5.47s/it] 80%|████████ | 16/20 [01:27<00:21, 5.45s/it] 85%|████████▌ | 17/20 [01:33<00:16, 5.39s/it] 90%|█████████ | 18/20 [01:38<00:10, 5.39s/it] 95%|█████████▌| 19/20 [01:42<00:04, 4.89s/it] 100%|██████████| 20/20 [01:43<00:00, 3.84s/it] 100%|██████████| 20/20 [01:43<00:00, 5.18s/it] Decoding latents in cuda:0... done in 2.43s Move latents to cpu... done in 0.03s 0: 640x640 1 face, 7.9ms Speed: 3.8ms preprocess, 7.9ms inference, 18.2ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:15, 1.74s/it] 20%|██ | 2/10 [00:03<00:13, 1.68s/it] 30%|███ | 3/10 [00:04<00:11, 1.65s/it] 40%|████ | 4/10 [00:06<00:09, 1.66s/it] 50%|█████ | 5/10 [00:08<00:08, 1.67s/it] 60%|██████ | 6/10 [00:09<00:06, 1.66s/it] 70%|███████ | 7/10 [00:11<00:04, 1.65s/it] 80%|████████ | 8/10 [00:13<00:03, 1.65s/it] 90%|█████████ | 9/10 [00:14<00:01, 1.49s/it] 100%|██████████| 10/10 [00:14<00:00, 1.15s/it] 100%|██████████| 10/10 [00:14<00:00, 1.48s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.5ms Speed: 3.0ms preprocess, 7.5ms inference, 1.3ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:15, 1.68s/it] 20%|██ | 2/10 [00:03<00:13, 1.65s/it] 30%|███ | 3/10 [00:04<00:11, 1.65s/it] 40%|████ | 4/10 [00:06<00:10, 1.67s/it] 50%|█████ | 5/10 [00:08<00:08, 1.67s/it] 60%|██████ | 6/10 [00:09<00:06, 1.66s/it] 70%|███████ | 7/10 [00:11<00:04, 1.65s/it] 80%|████████ | 8/10 [00:13<00:03, 1.65s/it] 90%|█████████ | 9/10 [00:14<00:01, 1.48s/it] 100%|██████████| 10/10 [00:14<00:00, 1.15s/it] 100%|██████████| 10/10 [00:14<00:00, 1.48s/it] Decoding latents in cuda:0... done in 0.82s Move latents to cpu... done in 0.0s 0: 640x640 1 face, 7.7ms Speed: 3.0ms preprocess, 7.7ms inference, 1.5ms postprocess per image at shape (1, 3, 640, 640) 0%| | 0/10 [00:00<?, ?it/s] 10%|█ | 1/10 [00:01<00:14, 1.67s/it] 20%|██ | 2/10 [00:03<00:13, 1.64s/it] 30%|███ | 3/10 [00:04<00:11, 1.66s/it] 40%|████ | 4/10 [00:06<00:10, 1.67s/it] 50%|█████ | 5/10 [00:08<00:08, 1.68s/it] 60%|██████ | 6/10 [00:09<00:06, 1.65s/it] 70%|███████ | 7/10 [00:11<00:04, 1.65s/it] 80%|████████ | 8/10 [00:13<00:03, 1.64s/it] 90%|█████████ | 9/10 [00:14<00:01, 1.47s/it] 100%|██████████| 10/10 [00:14<00:00, 1.14s/it] 100%|██████████| 10/10 [00:14<00:00, 1.47s/it] Decoding latents in cuda:0... done in 0.81s Move latents to cpu... done in 0.0s Uploading outputs... Finished.