Instructions to use LTT/PRM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use LTT/PRM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("LTT/PRM", 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
Upload PRM_nerf_large.ckpt with huggingface_hub
Browse files- PRM_nerf_large.ckpt +3 -0
PRM_nerf_large.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:530a344ea9b856e012492b9644ab73532ddf7c06d548f60c489e49a528322fb9
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size 1514088389
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