Instructions to use iriscope/oscavatar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use iriscope/oscavatar with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("iriscope/oscavatar", dtype=torch.bfloat16, device_map="cuda") prompt = "oscavatar" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload diffusion_pytorch_model.safetensors
Browse files
vae/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1d993488569e928462932c8c38a0760b874d166399b14414135bd9c42df5815
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size 334643276
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