Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use joheras/mr_potato-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use joheras/mr_potato-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("joheras/mr_potato-sd") prompt = "a photo of mr. potato" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 1fe91074ba2bcbacd26b0298cb1ddb6e6dc0f4771bfe8d0554e0a19308f68047
- Size of remote file:
- 6.59 MB
- SHA256:
- 118dda70aa1be14d8ebae5a2e2b0dcbc6ea3fa0ad8bc9dada8239df5336ea2b3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.