Instructions to use rdcoder/del_flt3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rdcoder/del_flt3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rdcoder/del_flt3", 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
rdcoder commited on
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Browse files- del_flt3.ckpt +3 -0
del_flt3.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:675a1228001030d51ab69d43553a3e9e76cf2c33bc4222618d559d9af6347efb
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size 4265329115
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