Instructions to use kuotient/noto-emoji-finetuned-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kuotient/noto-emoji-finetuned-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kuotient/noto-emoji-finetuned-lora", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA text2image fine-tuning - https://huggingface.co/kuotient/noto-emoji-finetuned-lora
These are LoRA adaption weights for https://huggingface.co/kuotient/noto-emoji-finetuned-lora. The weights were fine-tuned on the kuotient/noto-emoji-dataset dataset. You can find some example images in the following.
- Downloads last month
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Model tree for kuotient/noto-emoji-finetuned-lora
Base model
runwayml/stable-diffusion-v1-5


