Instructions to use stablediffusionapi/richyrichmix-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/richyrichmix-v2 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/richyrichmix-v2", 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:
- 1a994e6f7ae1c521178646fcd611615423c3a98ad2db1e5b4ccaf76b925b9cda
- Size of remote file:
- 246 MB
- SHA256:
- 93ea4e88091766e7f074f8a12a7d513ff0cd0d80334873a8f53c99663fc78c9a
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