Instructions to use Johnhex/Clam1.3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Johnhex/Clam1.3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Johnhex/Clam1.3", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5de5f66e3fdea7c6aa272757ce1e355a0633f2c7123e7d56207f7976db93abba
- Size of remote file:
- 492 MB
- SHA256:
- 4ac188f19e5578b1424e41bef413f14bf47169347b72be6ebf8ed62213d2c7e6
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