Instructions to use ItsMaxNorm/diffusion-p with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsMaxNorm/diffusion-p with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ItsMaxNorm/diffusion-p", 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 folder using huggingface_hub
Browse files
steringreward/checkpoint_epoch_100/diffusion_pytorch_model.safetensors
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steringreward/checkpoint_epoch_50/diffusion_pytorch_model.safetensors
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oid sha256:e9888bed4195961e520a65f85ea4d67d2fe52cac5082529ad8570c505b0fc0d9
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size 3438167504
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