Instructions to use EnD-Diffusers/PoltergeistMiXSD15_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/PoltergeistMiXSD15_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/PoltergeistMiXSD15_Diffusers", 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:
- 4244e2ae14ebb2a8b1a0168a79ffb15d74a2820b5bd0034f15408aa14c510f6b
- Size of remote file:
- 3.85 GB
- SHA256:
- 4bafc25aaa115c08f9938b215e776502b15ba2f24507cb59de3fbee20baa3c6a
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