import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("poojan1202/lora-trained-1.5")
prompt = "diamond and pearl jewellery like necklace, earrings, rings and bracelets"
image = pipe(prompt).images[0]LoRA DreamBooth - poojan1202/lora-trained-1.5
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on diamond and pearl jewellery like necklace, earrings, rings and bracelets using DreamBooth. You can find some example images in the following.
LoRA for the text encoder was enabled: True.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
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Model tree for poojan1202/lora-trained-1.5
Base model
runwayml/stable-diffusion-v1-5