Instructions to use jbb/jsonbotv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jbb/jsonbotv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jbb/jsonbotv2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 26b7c4088dff120dda23f8276ae06dfc0cd2f6b12f5b0b050aef15b05f249da0
- Size of remote file:
- 2.61 GB
- SHA256:
- 40ced79f8276d1c0efb56ec1505a51f84af2710ba909c202714b14203932b582
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