Instructions to use ChandrilBasu/C4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/C4 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ChandrilBasu/C4") prompt = "A photo of channy" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add C4.safetensors
Browse files- C4.safetensors +3 -0
C4.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a937209852198178c18d8c38929f68b3ab99102879a7ead6e0c0c30eae0b573
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size 171969384
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