Instructions to use ainjarts/dog_sd3_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ainjarts/dog_sd3_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("ainjarts/dog_sd3_lora", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of ohwx dog sitting on the wooden floor in the studio with gray background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b3d379b1bfd6fe94c2e68b35c9afb23c53d5023f12fb486e163b550d4ef03a54
- Size of remote file:
- 9.6 MB
- SHA256:
- f6306e3e74c1a1baf7d9c4573fe74c1e6ebe2699760db03af59e6ce2b5669f49
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