Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/beaf-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/beaf-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codeiceman/beaf-model") prompt = "a photo of steak or beaf" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- cb1dbb849dc203d6ba10cfd0c7622cb5e5370f050beccdbd4383a4077ebf667c
- Size of remote file:
- 3.23 MB
- SHA256:
- 719a7a3811917812bae08b9c452171f545cc3cd3a16fee69ebf7eb287481ba55
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