Instructions to use aigrils2/primitive0-diffuser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aigrils2/primitive0-diffuser with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangjun/majicmix-realistic-v6", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aigrils2/primitive0-diffuser") 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:
- e6f8ad057fcf18d9b06fd97029565f5085716ee3824cd8acb4bf5ce27338b0bd
- Size of remote file:
- 492 MB
- SHA256:
- 896fe1ecd613cf71f2b2420ba0c92e8d9c1f352bf37e11b24cbb57731940e076
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.