Instructions to use botzero/acecat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use botzero/acecat 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("botzero/acecat") prompt = "ACECAT" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1930ab2c9edeb3b80e73c84b5b448b22789a2ccae5c9f4ff6e2006ed40b93cf4
- Size of remote file:
- 172 MB
- SHA256:
- f74240b2c022e8701b91d8760822fda2b0b61035faf56548b9a98d8fdeb4ae22
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