Instructions to use rain1011/pyramid-flow-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rain1011/pyramid-flow-sd3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rain1011/pyramid-flow-sd3", 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
community report
2
#21 opened over 1 year ago
by
clem
float8_e4m3fn or fp8 or preferablly GGUF format weights
#20 opened over 1 year ago
by
MayensGuds
Expected parameter covariance_matrix (Tensor of shape (4, 4)) of distribution MultivariateNormal
2
#19 opened over 1 year ago
by
galazzo
MacOS support
2
#18 opened over 1 year ago
by
maximo10
Create Diffuser video adjustments
2
#17 opened over 1 year ago
by
VegasfrancisMH
How to run pyramid-flow-sd3 by using diffusers api only?
1
#15 opened over 1 year ago
by
derekcbr01
Do you have an integrated inference pipeline with diffusers?
#14 opened over 1 year ago
by
mayukitan
🚩 Report
1
#13 opened over 1 year ago
by
wangyusheng
Hardware requirements
23
#5 opened over 1 year ago
by
coder-uz