Instructions to use kaezf/Irony with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kaezf/Irony with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kaezf/Irony", 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
Upload Irony_RCF2.ckpt
Browse filesa best version at this stage







- Irony_RCF2.ckpt +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a14c496803896b0c0fb14650d24258f91667d5972d8713a19a22dc0b7f0a1f54
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size 4265420721
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