Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use botp/Anything-Preservation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use botp/Anything-Preservation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("botp/Anything-Preservation", 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
- Draw Things
- DiffusionBee
- Xet hash:
- d264ea9fb6fbd7d72ecb70ff5ad1bbbd340f291a53779debecb0746de637c9a2
- Size of remote file:
- 335 MB
- SHA256:
- 708b72f32f178ad3f92e2a8d9948fef68c8dccf222891a2dfbe9b8074a5d8568
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