Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use fchen12/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fchen12/test4 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("fchen12/test4") prompt = "a photo of girlface" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8553116929279c055f814508f372264df53664b6444f7246ceef7efd47f81d75
- Size of remote file:
- 6.53 MB
- SHA256:
- f7bc857ca541dbff595025d10e3683f105c2ce6a1c1a4a61e82a9c3201bde474
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