Instructions to use bytefid/ChattyBytex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bytefid/ChattyBytex with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bytefid/ChattyBytex") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bf551d99345fd5f8406dd92b83e4c49ac5fd66ec5d5f02f0fab18f8f189d1905
- Size of remote file:
- 5.71 kB
- SHA256:
- 638380f32002f81ea90f5a5a10f6360e3c2827eb912545fbc625d96879b57411
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