Instructions to use shahtab/FluxPonyPerfectFull with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shahtab/FluxPonyPerfectFull with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("shahtab/FluxPonyPerfectFull") prompt = "{" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0552161e9ffb60201e9997cf88b2a5d123431884135bfb1469bfd5b412217f25
- Size of remote file:
- 1.24 GB
- SHA256:
- 88f03d64eed0c646e3acd78c2e6db6b491a095a29223f14fdce8ba88dd6ac982
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.