Instructions to use harsha19/r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use harsha19/r1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("harsha19/r1") prompt = "rups" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload shakkerrupa.safetensors
Browse files- shakkerrupa.safetensors +3 -0
shakkerrupa.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f30802b731ba4ce9e65f988466a877c694ba6d42577761d1a026de5341b449bb
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size 306426864
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