Instructions to use PhoenixGS/sd-test-model-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PhoenixGS/sd-test-model-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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PhoenixGS/sd-test-model-lora") prompt = "dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 469 Bytes
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tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: dog
output:
url: images/dog.png
- text: cat
output:
url: images/example_f7u74rxrl.png
base_model: CompVis/stable-diffusion-v1-4
instance_prompt: null
---
# sd-test-model-lora
<Gallery />
## Download model
Weights for this model are available in Safetensors format.
[Download](/PhoenixGS/sd-test-model-lora/tree/main) them in the Files & versions tab.
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