Text-to-Image
Diffusers
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open-diffusion
od-v1
lora
adapter
template:sd-lora
openskyml
Instructions to use openskyml/adapter-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openskyml/adapter-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openskyml/open-diffusion-v1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("openskyml/adapter-v1") prompt = "cartoon style illustration, minimalist style, animals made of cloud Cat and Goldfish: ( scene on the background, hyper detailed, artistic,:1.2)" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Adapter for Diffusers

- Prompt
- cartoon style illustration, minimalist style, animals made of cloud Cat and Goldfish: ( scene on the background, hyper detailed, artistic,:1.2)
- Negative Prompt
- low quality, worst quality, monochrome, lowres, painting, crayon, sketch, graphite, impressionist, noisy, blurry, long neck, long torso, bad anatomy, Cropped, Fake
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for openskyml/adapter-v1
Base model
openskyml/open-diffusion-v1