Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/beaf-model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/beaf-model2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codeiceman/beaf-model2") prompt = "I want to eat delicious meal made of beef or steak" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- b69266025f11f55e6620aa7ccd89887b5d963f3c1ab1e2ae59aa25a3cf5af864
- Size of remote file:
- 1.04 MB
- SHA256:
- db7472ce3c2e4062d7133f7445fa220b2f86fbd66ddd5bc084be256287e870c9
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