Instructions to use cucucu666/cry-8.15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cucucu666/cry-8.15 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-Fill-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("cucucu666/cry-8.15") prompt = "3d face, 3d cartoon style, sad expression, closed eyes, blue tears under eyes, plain white background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- cadea03288ce88ce22329f2c6333168b746bdff861f6ce2f42346829e81eed95
- Size of remote file:
- 649 kB
- SHA256:
- c78f96b1a3da4c0725354d019b2bff7ddb7d92dd619c52d2014ae3e0e166feca
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