Instructions to use kchoi/finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kchoi/finetuned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kchoi/finetuned", 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 Settings
- Draw Things
- DiffusionBee
282fbc42a4ab04ccd9458331988d21fb0a650dbea9fc1d4fe9992c80967cf0b7
Browse files
checkpoint-100/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:51d45b760a1e2158b061d558e18af22c7a16a4f1135e914322a7a7fe6213cf8c
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size 5151955172
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