Instructions to use markyen/jimvisits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use markyen/jimvisits 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("markyen/jimvisits") prompt = "mij" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 737ca682ea6a90d68e6d7dfc8b531e3750cd9393ad331c70f18101397e6d416f
- Size of remote file:
- 1.66 MB
- SHA256:
- b33c7c1a6697ecea16359864bf59741c05e53f16e69af5a7e4b985ed0ebb185f
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