Instructions to use stablediffusionapi/anylora-checkpoint-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/anylora-checkpoint-1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anylora-checkpoint-1", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 81dfd2e561b9cf24922448489a3ac671d005f325228133729463a35fb1724453
- Size of remote file:
- 246 MB
- SHA256:
- cc4401d6180db5582a0187fb7cd3e1e19fda891b421c59174b9d27b005120286
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