Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use nggaspar/sd-base-1.5-toy-dreambooth-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nggaspar/sd-base-1.5-toy-dreambooth-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("nggaspar/sd-base-1.5-toy-dreambooth-lora", dtype=torch.bfloat16, device_map="cuda") prompt = "a <cat-toy> toy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- a50eead4d98212ecc335b4fb3ac1b4de9fddb3bf5ed64fcc1f6176cbb32f28b1
- Size of remote file:
- 542 kB
- SHA256:
- b7e4fa5ec1ca12954058aa2dc54a7238c32fc7eb765a331c2991ee083b05333a
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