Instructions to use sololo-xyz/EmmaWatson_SoloLoRA_Kr2v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sololo-xyz/EmmaWatson_SoloLoRA_Kr2v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sololo-xyz/EmmaWatson_SoloLoRA_Kr2v1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 8e2cd544278f667064335c30c2adcf78f9ea84a4a9f97e1eab1e16b917094697
- Size of remote file:
- 1.64 MB
- SHA256:
- 03a11f85ac94c3b588fb5bc1a2b2280a2b18f7287adcd07d0ba92dc5312eb4d7
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