Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use joheras/trained-stable-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joheras/trained-stable-diffusion 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("joheras/trained-stable-diffusion") prompt = "a photo of jonathan" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6f5978cfecadddd99550fc878e385b399d46e4768854771f056eb8ce7b2a5635
- Size of remote file:
- 6.59 MB
- SHA256:
- f594022ad62fbf436ab3982fd64ab232088b7fc54d8f21e1d2258f0e94543629
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