Instructions to use Ziyaad30/Pyramid-Flow-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ziyaad30/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("Ziyaad30/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
Commit History
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Update model card: Add library_name and update with latest information
Verified signatureThis PR adds the `library_name` to the model card metadata so that the "how to use" button appears. It also updates the model card with the latest information from the Github README, including the release of miniFLUX checkpoints, training code, and multi-GPU inference support. The videos have also been updated to use the videos in the Github README.f28b846
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Delete diffusion_transformer_768p
Verified signature91d07c2 -
Duplicate from rain1011/pyramid-flow-sd3
Verified signatureCo-authored-by: Yang Jin <rain1011@users.noreply.huggingface.co>d1116d4