Instructions to use SeanScripts/pyramid-flow-sd3-bf16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SeanScripts/pyramid-flow-sd3-bf16 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SeanScripts/pyramid-flow-sd3-bf16", 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
- Xet hash:
- 87a12686e86c735b989ee871a255a0b86a2adff456fbe8f3adcc16f942489e56
- Size of remote file:
- 4.17 GB
- SHA256:
- 8de1a1d57c7b370b9bfa5548011ac0832b53b11d292e5d6ab6a23a7b0a4ab8a9
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