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
- Draw Things
- DiffusionBee
- Xet hash:
- c6801816b6bea9cf692220928e8ad1eba7fca6a22686a1a415f4220360e11613
- Size of remote file:
- 246 MB
- SHA256:
- 79c5356fada22c7191ca17e41e2578322520b074f1990214a36fb683922e66cc
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