Instructions to use kwagh20ite/FLICKR_comp_v_6000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kwagh20ite/FLICKR_comp_v_6000 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kwagh20ite/FLICKR_comp_v_6000", 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:
- a9e6ce557a27b0825efcef5b5ef7e437d11b98fdefbaa266705a735fb19d2ce1
- Size of remote file:
- 4 kB
- SHA256:
- c642545826e3fdf1e43e10d49c76bdb80f254f45cc3cd11539a2abb0049757ae
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