Instructions to use wangfuyun/consolver with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wangfuyun/consolver with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wangfuyun/consolver", 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
Upload model.ckpt
Browse files- model.ckpt +3 -0
model.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ada080b7306147880ca2b9f90333d702394dad7da667e92bb836dab200fa8d3
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size 302958
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