Instructions to use GeleiSG/transfer5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GeleiSG/transfer5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GeleiSG/transfer5", 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
lora_diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f1a5d88da56742c8233cddb58157f99d5470f7e214661a96a13d105f5fd27f6
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size 1458497816
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