Instructions to use open1986/040 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use open1986/040 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("open1986/040", 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
- Xet hash:
- 3d2db5fb21fb6e1b1f47f488f0057ec54ed79efd1cd2937d35aaea8785f9411c
- Size of remote file:
- 1.25 GB
- SHA256:
- 15a4b09e56d95b768a0ec9da50b702e21d920333fc9b3480d66bb5c7fad9d87f
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