Instructions to use ai-forever/kandinsky3_ip_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ai-forever/kandinsky3_ip_adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ai-forever/kandinsky3_ip_adapter", torch_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
- Xet hash:
- f66e4eda60dc7783162d332d74abdd598414a7e57505b50097d5f854fc89e729
- Size of remote file:
- 1.22 GB
- SHA256:
- 37b3cfd26342912cb2c49fe5dea5690c99e1dd341ea9c731a09a09f4f9a47345
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