Instructions to use Acopa/sdxl_base_512_clothes_desc_pix2pix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Acopa/sdxl_base_512_clothes_desc_pix2pix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Acopa/sdxl_base_512_clothes_desc_pix2pix", torch_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
- Xet hash:
- bf0875b2e2e62d82b4bd30f5c81a0b6eb2565487c2eeb1c3f29387596709ce10
- Size of remote file:
- 20.5 GB
- SHA256:
- 25e290396771881d8121badb19802fa3ddbda48983b31c3e97f560a0a6ecaf62
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