Instructions to use doohickey/doohickey-mega with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use doohickey/doohickey-mega with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("doohickey/doohickey-mega", 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
Upload v3-8000.ckpt
Browse files- v3-8000.ckpt +3 -0
v3-8000.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:17c2501d890b3188750357184991a8806d46eb4516c6f6d12f0b168a4e8229ef
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size 2132856622
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