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
Add 5 files
Browse files- adapter_model.safetensors +3 -0
- images/7f167a7e62bc47cc82e67771d35fcf79.png +3 -0
- optimizer.pt +3 -0
- scheduler.pt +3 -0
- training_args.bin +3 -0
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images/7f167a7e62bc47cc82e67771d35fcf79.png
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optimizer.pt
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