Instructions to use erkam/sd-clevr-text2im with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use erkam/sd-clevr-text2im with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("erkam/sd-clevr-text2im") 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
- Xet hash:
- 9e1ea59bec2c2c16c4a903c9fbfeb167f496ea8b7beb6af927e7eb862d03ea91
- Size of remote file:
- 557 Bytes
- SHA256:
- c0de52ba311520cb1e8c7e113f2e392217d75c6d6d947fe256dc6343edb281e0
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