Instructions to use neonforestmist/clover-image-tiny-pointillism-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neonforestmist/clover-image-tiny-pointillism-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("neonforestmist/Clover-Image-Tiny", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("neonforestmist/clover-image-tiny-pointillism-lora") 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:
- b3f4cf6494a670a598039072458cedb73b7c1c16bc0a51ff29b623bce1b283aa
- Size of remote file:
- 13.9 MB
- SHA256:
- dddc29130ab621f1a8329a9c90ff66e05f3ae4665ac27dc8d8e12284ab500bd1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.