Instructions to use ccc8/c0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccc8/c0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/OpenDalleV1.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ccc8/c0") prompt = "masterpiece forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Upload cinematic lighting.safetensors
Browse files
cinematic lighting.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:529daf6ffd2d73bf54a1a923cac66b6c2a3e4e80998d05498d48208266bfda6c
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size 8789076
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