Instructions to use Luo-Yihong/TDM_dreamshaper_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luo-Yihong/TDM_dreamshaper_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("Lykon/DreamShaper", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Luo-Yihong/TDM_dreamshaper_LoRA") 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

- Xet hash:
- 31a865501a60c9dcaa0489404c29ac8a40e33c2e3431a130aa4b5422ce6f15d0
- Size of remote file:
- 170 kB
- SHA256:
- 24e778882916d1171d3d266f7a833793d457bcb30749e7262b03c35e75fcc16b
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