Instructions to use nadanainone/popnm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nadanainone/popnm with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nadanainone/popnm", 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
Commit ·
96f671c
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Parent(s): 0465b84
Upload popnm_10000.safetensors
Browse files- popnm_10000.safetensors +3 -0
popnm_10000.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:734ea984a6cbd2530825634f7355cf80b95435ee476107fd4d7611aedc2a4fee
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size 2132625462
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