Instructions to use sebadigital5/COMEGATO2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sebadigital5/COMEGATO2 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("sebadigital5/COMEGATO2") prompt = "COMEGATO2" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 12a6f38b3115226dd8aa36f03388732551fc332a8c0c6969ae93afee84314300
- Size of remote file:
- 172 MB
- SHA256:
- 7766f218b425fcd688ea1222e1986e7f3b9d2818ea783217084ffa19a0278b21
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