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:
- 8daeccef9a3cb977a72046fd6278e32a8143d04e1dbe539db4a3593d62e4119d
- Size of remote file:
- 22.5 MB
- SHA256:
- dd21b3e63a4b4f4e4bd191ead17e617cba4f842e5e778f100ee81f76f5037225
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