Instructions to use nitrosocke/elden-ring-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/elden-ring-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/elden-ring-diffusion", 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 `clip_sample=False` to scheduler to make model compatible with DDIM. (#7)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (912e20b18ee77384cb842fe7bc71853ab9c522a5) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>240e4f5
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Upload with huggingface_hub (#5)
- Upload with huggingface_hub (fa21de0c0d5587cbcff11e8a05addebd4be65ebc) Co-authored-by: AQ <anzorq@users.noreply.huggingface.co>b712350
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Add Diffusers model (#2)
- Add Diffusers model (f84c4b5ac0401dbdf919c2ba9d648b767f62c9cf)719a3a4