Instructions to use molinamarc/syntheva with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use molinamarc/syntheva with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("molinamarc/syntheva", 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
Add classify_image_graph_def.pb
Browse files
classify_image_graph_def.pb
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version https://git-lfs.github.com/spec/v1
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oid sha256:009d6814d1bc560d4e7b236e170e9b2d5ca6f4b57bd8037f6db05776204415c6
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size 95673916
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