Instructions to use slot-sloop/frameyard-sd15-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use slot-sloop/frameyard-sd15-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("slot-sloop/frameyard-sd15-base", 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
v1-5-pruned-emaonly.safetensors
One file, copied unchanged from stable-diffusion-v1-5/stable-diffusion-v1-5
at commit 451f4fe16113bff5a5d2269ed5ad43b0592e9a14.
The source repository carries every variant of this model. A provider cached mount pulls a whole repository snapshot, so mounting it would download gigabytes of weights the job never opens. This repository holds the one file and nothing else.
Nothing here is modified. Verify with:
sha256sum v1-5-pruned-emaonly.safetensors
# 6ce0161689b3853acaa03779ec93eafe75a02f4ced659bee03f50797806fa2fa
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