Text-to-Image
Diffusers
Trained with AutoTrain
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use neil-code/autotrain-dreambooth-reddog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neil-code/autotrain-dreambooth-reddog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("neil-code/autotrain-dreambooth-reddog") prompt = "<reddog>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bf62523febe2ab2f7798e84647abe56c4bfc8be9d3ca99d6fd9b402887edb16d
- Size of remote file:
- 47.4 MB
- SHA256:
- af23fa0d7cadf40f89b3ad4e09cb8fb1371208f3293c07e38f71572d02d8f601
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