Instructions to use hulefei/test-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hulefei/test-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hulefei/test-dog", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 576 Bytes
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license: creativeml-openrail-m
tags:
- text-to-image
---
### test-dog on Stable Diffusion via Dreambooth
model by hulefei
### 模型训练信息
* instance_prompt:photo of test dog
* save_sample_prompt:photot of test dog in a doghouse
* base_model:runwayml/stable-diffusion-v1-5
* dataset:hulefei/test-model
训练图

Sample图
photot of test dog in a doghouse

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