Instructions to use m28yhtd/Remove2_creature_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use m28yhtd/Remove2_creature_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("m28yhtd/Remove2_creature_lora", 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
- Xet hash:
- 0bec9d9af7585a63a23734f102c821fb268e17d84b516a99309474a0c35be3a2
- Size of remote file:
- 6.59 MB
- SHA256:
- 448ed0e6183b09f182b8acf5b5d3d393df0e849892ba215078929e6fc4b048b1
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