Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
template:sd-lora
playground
playground-diffusers
Instructions to use Jayw1/xubeihong_lora_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jayw1/xubeihong_lora_new with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("playgroundai/playground-v2.5-1024px-aesthetic", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jayw1/xubeihong_lora_new") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b75e714986ff8cb8560e27b0b07d66d1c02ab5dc626217b0e2f169eba3c55ed1
- Size of remote file:
- 23.4 MB
- SHA256:
- 99d4a5ab8e53ef57c7f04b32c1128e06ca83bb1fb319a4373990f3054673b75f
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