Instructions to use EnD-Diffusers/HellainePDXL_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/HellainePDXL_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/HellainePDXL_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:
- 037bf31baa37a93a926c4a26311b3ceb03251318fd316444002cd7c4ada2cbc5
- Size of remote file:
- 246 MB
- SHA256:
- cf1a0f448073195d1fdc6739b1f155395e0531a4b8986f7a28ecb59b838fa08f
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