Instructions to use EnD-Diffusers/PackofMarlborosandacaseofBeerfp16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/PackofMarlborosandacaseofBeerfp16 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/PackofMarlborosandacaseofBeerfp16", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 1edc42aeaaf5bd8c4e03a2fc71dd8c8f974696746ae005a42f85f63fe7625c63
- Size of remote file:
- 492 MB
- SHA256:
- a022106e60cb69c90bb27b1e43c1b6fe888c6ad8e49d76b25d5cb50ea21f53d6
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