Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/anylora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/anylora 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", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b96758eaa46f3447c115ac32abfa2928ea5e2b628232ff177b8d938547f7f886
- Size of remote file:
- 1.72 GB
- SHA256:
- eb33087dfefb6ac10a2eca148e9c89548d83d6abf6e7857e3ae977f6ede8470c
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