Instructions to use stablediffusionapi/yesmix-v40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/yesmix-v40 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/yesmix-v40", 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:
- 6ac199de6ac69792c5ad55df609892c2554724fbafef2f05b40e58393f02af8d
- Size of remote file:
- 1.72 GB
- SHA256:
- 6d6456228e3262974f46671f21a879f41fee11ceaf929123aa79a90b7dd60feb
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