Text-to-Image
Diffusers
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
lora
Instructions to use Acopa/deep_fashion_ft_sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Acopa/deep_fashion_ft_sdxl 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/sdxl-turbo", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Acopa/deep_fashion_ft_sdxl") 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:
- a1e602212ed2a1d8f56e83437dbeba689c24050d269306e5041e665af136b1b9
- Size of remote file:
- 23.4 MB
- SHA256:
- 2a9dbe049cde7e3908eb85d1b40aa47d130687c0d583cdb6829f23eea6b4b064
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