Instructions to use Muapi/jong-jean-thong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/jong-jean-thong with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/jong-jean-thong") 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:
- 7aaa1f227a463d19a19bc5c70babf607f6edc349b0c7e5e3d01a7cde87bedcf3
- Size of remote file:
- 1.04 MB
- SHA256:
- bd7f2236847ae56c251ff2debfda58b152357bde72acd58f1e1ef374680d2abf
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