Instructions to use Muapi/displaycasexl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/displaycasexl 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-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/displaycasexl") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- fd3884bd499dfc8b2ede8d2f7a3b859a2719be0928b5d4337d544c02123da3f0
- Size of remote file:
- 227 kB
- SHA256:
- 330fd11850d001151319f805bd4d3049ff0f71e2e99400cfcaf3411d40fa0745
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