Instructions to use Hishambarakat/checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hishambarakat/checkpoint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hishambarakat/checkpoint", 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
- Draw Things
- DiffusionBee
Upload /sd15/absolutereality_v1.safetensors with huggingface_hub
Browse files
sd15/absolutereality_v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfea7e18e236471741f96ad5e987f214eb31ac75a923ca6ff0ef883d5d15f85e
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size 2132625431
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