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Flowers in the Rain with Crystal Turbo XL
crystal-turbo-xl:v1.0
evevalentine2017
evevalentine2017
·
Apr 22
4
Input
prompt
Specify things to see in the output
rainbow flowers under the rain, night, dim light, full moon
negative_prompt
Specify things to not see in the output
poorly created hands, negative_hand-neg, floating limbs, disconnected hands, nudity, nipple, nsfw
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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.
3097910582
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
8
cfg_scale
Scale for classifier-free guidance
1.7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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)
negative_hand-neg.pt
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/51c2f5326bac47b6b709d1206ddfe318/00000-3097910582.webp
https://files.tungsten.run/uploads/cebfa28fde02433e838493bf1682e786/00001-3097910583.webp
https://files.tungsten.run/uploads/ae08445dff5540efb86cf2002df6e94c/00002-3097910584.webp
Finished in 16.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: rainbow flowers under the rain, night, dim light, full moon Full negative prompt: poorly created hands, negative_hand-neg, floating limbs, disconnected hands, nudity, nipple, nsfw 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:06, 1.12it/s] 25%|██▌ | 2/8 [00:01<00:05, 1.12it/s] 38%|███▊ | 3/8 [00:02<00:04, 1.12it/s] 50%|█████ | 4/8 [00:03<00:03, 1.12it/s] 62%|██████▎ | 5/8 [00:04<00:02, 1.12it/s] 75%|███████▌ | 6/8 [00:05<00:01, 1.12it/s] 88%|████████▊ | 7/8 [00:06<00:00, 1.12it/s] 100%|██████████| 8/8 [00:07<00:00, 1.12it/s] 100%|██████████| 8/8 [00:07<00:00, 1.12it/s] Decoding latents in cuda:0... done in 1.65s Move latents to cpu... done in 0.01s 0: 480x640 (no detections), 122.9ms Speed: 1.9ms preprocess, 122.9ms inference, 4.3ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 6.1ms Speed: 1.8ms preprocess, 6.1ms inference, 0.6ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings.
prompt
Specify things to see in the output
rainbow flowers under the rain, night, dim light, full moon
negative_prompt
Specify things to not see in the output
poorly created hands, negative_hand-neg, floating limbs, disconnected hands, nudity, nipple, nsfw
num_outputs
Number of output images
3
width
Output image width
1024
height
Output image height
768
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.
3097910582
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
8
cfg_scale
Scale for classifier-free guidance
1.7
clip_skip
The number of last layers of CLIP network to skip
1
vae
Select VAE
None
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)
negative_hand-neg.pt
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/51c2f5326bac47b6b709d1206ddfe318/00000-3097910582.webp
https://files.tungsten.run/uploads/cebfa28fde02433e838493bf1682e786/00001-3097910583.webp
https://files.tungsten.run/uploads/ae08445dff5540efb86cf2002df6e94c/00002-3097910584.webp
Finished in 16.6 seconds
Setting up the model... Preparing inputs... Processing... Full prompt: rainbow flowers under the rain, night, dim light, full moon Full negative prompt: poorly created hands, negative_hand-neg, floating limbs, disconnected hands, nudity, nipple, nsfw 0%| | 0/8 [00:00<?, ?it/s] 12%|█▎ | 1/8 [00:00<00:06, 1.12it/s] 25%|██▌ | 2/8 [00:01<00:05, 1.12it/s] 38%|███▊ | 3/8 [00:02<00:04, 1.12it/s] 50%|█████ | 4/8 [00:03<00:03, 1.12it/s] 62%|██████▎ | 5/8 [00:04<00:02, 1.12it/s] 75%|███████▌ | 6/8 [00:05<00:01, 1.12it/s] 88%|████████▊ | 7/8 [00:06<00:00, 1.12it/s] 100%|██████████| 8/8 [00:07<00:00, 1.12it/s] 100%|██████████| 8/8 [00:07<00:00, 1.12it/s] Decoding latents in cuda:0... done in 1.65s Move latents to cpu... done in 0.01s 0: 480x640 (no detections), 122.9ms Speed: 1.9ms preprocess, 122.9ms inference, 4.3ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 1 with 1st settings. 0: 480x640 (no detections), 6.1ms Speed: 1.8ms preprocess, 6.1ms inference, 0.6ms postprocess per image at shape (1, 3, 480, 640) [-] ADetailer: nothing detected on image 2 with 1st settings.