Instructions to use cocktailpeanut/sd35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cocktailpeanut/sd35 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/sd35", 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:
- d639207ae06e3a5686dc26eb6ba6d892c5a6f30b0b5e0070252fd9cb69df8b1c
- Size of remote file:
- 18.1 MB
- SHA256:
- 3017495f2b06abc8388bdcbe3c42a793c02e32afe0e95b1a414976688d4772cd
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