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Sponsored by
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bghira / sd3-lora-celebrities
Model's Last Updated: June 14 2024
text-to-image
Introduction of sd3-lora-celebrities
Model Details of sd3-lora-celebrities
sd3-lora-celebrities
This is a LoRA derived from stabilityai/stable-diffusion-3-medium-diffusers .
The main validation prompt used during training was:
a studio portrait photograph of emma watson. she looks relaxed and happy.
Validation settings
-
CFG:
5.0 -
CFG Rescale:
0.2 -
Steps:
50 -
Sampler:
euler -
Seed:
2 -
Resolution:
1280x768
Note: The validation settings are not necessarily the same as the training settings .
You can find some example images in the following gallery:
- Prompt
- a studio portrait photograph of emma watson. she looks relaxed and happy.
- Negative Prompt
- blurry, cropped, ugly
The text encoder was not trained. You may reuse the base model text encoder for inference.
Training settings
- Training epochs: 5
- Training steps: 9316
- Learning rate: 0.0001
-
Effective batch size: 1
- Micro-batch size: 1
- Gradient accumulation steps: 1
- Number of GPUs: 1
- Prediction type: v_prediction
- Rescaled betas zero SNR: True
- Optimizer: AdamW, stochastic bf16
- Precision: Pure BF16
- Xformers: Not used
- LoRA Rank: 16
- LoRA Alpha: 16
- LoRA Dropout: 0.1
- LoRA initialisation style: default
Datasets
celebrities-sd3
- Repeats: 0
- Total number of images: 1830
- Total number of aspect buckets: 27
- Resolution: 0.5 megapixels
- Cropped: False
- Crop style: None
- Crop aspect: None
Inference
import torch
from diffusers import StableDiffusion3Pipeline
model_id = "sd3-lora-celebrities"
prompt = "a studio portrait photograph of emma watson. she looks relaxed and happy."
negative_prompt = "malformed, disgusting, overexposed, washed-out"
pipeline = DiffusionPipeline.from_pretrained(model_id)
pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
image = pipeline(
prompt=prompt,
negative_prompt='blurry, cropped, ugly',
num_inference_steps=50,
generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
width=1152,
height=768,
guidance_scale=5.0,
guidance_rescale=0.2,
).images[0]
image.save("output.png", format="PNG")
Runs of bghira sd3-lora-celebrities on huggingface.co
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More Information About sd3-lora-celebrities huggingface.co Model
Url of sd3-lora-celebrities
sd3-lora-celebrities huggingface.co Url
Provider of sd3-lora-celebrities huggingface.co
Other API from bghira
Updated:August 16 2024
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