Instructions to use Johnhex/Clam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Johnhex/Clam 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/Clam", 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
Delete Clam2-latest.ckpt
Browse files- Clam2-latest.ckpt +0 -3
Clam2-latest.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:e15065ad946b8e93138edd23297285ee181ed257a49cd2be0e1c5ab3841f965a
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size 9111306022
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