import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("SurAyush/StableEmote_LoRA")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0] # LoRA text2image fine-tuning of stable-diffusion-1.5
These are LoRA adaption weights for stable-diffusion-1.5. The weights were fine-tuned on the valhalla/emoji-dataset dataset.
Refer to the GitHub Repo for more information: https://github.com/SurAyush/StableEmote
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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Base model
stable-diffusion-v1-5/stable-diffusion-v1-5