Instructions to use Neottinu/mixProV35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neottinu/mixProV35 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Neottinu/mixProV35", 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:
- 272126054062777120b97c2533be53af4369fceb8fed829c709e65610d9dd088
- Size of remote file:
- 335 MB
- SHA256:
- 19fd9be2b3d03e63db1b796d1345a918b3e7fffd4d5c72f5f8e6dbec9aa7a4ee
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