Instructions to use RamAnanth1/sd-1-5-ram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RamAnanth1/sd-1-5-ram with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RamAnanth1/sd-1-5-ram", 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 History
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (c594e331d6a505244c0b092865793b495f664610) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>1b8c0db
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Upload vae with huggingface_hub
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