Instructions to use genai-archive/anything-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use genai-archive/anything-v5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("genai-archive/anything-v5", 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:
- 8fcb797883218c7c995678b68aa0710120caef7fefdef938d8a24461de2ac2b5
- Size of remote file:
- 335 MB
- SHA256:
- 97d91e545cafc829a2168479a1ca1cb02be404e3a26c9ff4d6f5ba2ed2dbcf17
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