Instructions to use ProfKakeru/Jarvis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ProfKakeru/Jarvis with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nvidia/Cosmos3-Super-Text2Image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ProfKakeru/Jarvis") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2eb77deb5fe90d4b1345d6362ab38f10f25b3ac09baeb3620929be9d0da7a926
- Size of remote file:
- 5.45 MB
- SHA256:
- 4fa731ecb7a093ce464cd482a791d900689eb8a06b6ff14f0b609809e312f30e
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