Instructions to use kellempxt/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kellempxt/checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kellempxt/checkpoints", 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
- Local Apps
- Draw Things
- DiffusionBee
Upload pony/fp16/base/vae/COPYadventureTimeRDXL/v1/model.safetensors with huggingface_hub
Browse files
pony/fp16/base/vae/COPYadventureTimeRDXL/v1/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:27e7ca269611e253006b4341d5392b989fa96417ba270b06ea1758762396aaf2
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size 6938109858
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