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", 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:
- cdbe5bd7990d3163cdcf3fc63a82dd4dd78eb51499e8185207024ddbfb82d93d
- Size of remote file:
- 167 MB
- SHA256:
- 6378851bbaecdb5011628432273cdc537b4111194b8d8f38c4ad09fb533b57f2
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