Instructions to use ccc8/cc7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccc8/cc7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ccc8/c7", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ccc8/cc7") prompt = "masterpiece forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload x.safetensors
Browse files- x.safetensors +3 -0
x.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7816259e9d707dfaaaf442816623437d5243d7b2d9e2fc956f56251b2f76478
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size 85438488
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