Instructions to use dn6/RFDiffusion-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dn6/RFDiffusion-3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dn6/RFDiffusion-3", 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
File size: 173 Bytes
4900749 | 1 2 3 4 5 6 7 8 | {
"_class_name": "RFDiffusionAutoBlocks",
"_diffusers_version": "0.37.0.dev0",
"auto_map": {
"ModularPipelineBlocks": "modular_blocks.RFDiffusionAutoBlocks"
}
}
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