Instructions to use worstcoder/SD3.5M-DiffusionNFT-MultiReward with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use worstcoder/SD3.5M-DiffusionNFT-MultiReward with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("worstcoder/SD3.5M-DiffusionNFT-MultiReward", 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:
- 855be5f969aa9d0d40a6c3da6062863b1dad25efc3979f553afe244659fc0ca0
- Size of remote file:
- 75.2 MB
- SHA256:
- d832eb22f7f796aee8fd4f676fd2e8ca793b04b3f2c0365f0b4c0ef2c6f99a3c
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