Text-to-Image
Diffusers
TensorBoard
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
template:sd-lora
Instructions to use dataautogpt3/nightmarerunning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/nightmarerunning 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("dataautogpt3/nightmarerunning") prompt = "a man in a black suit is running through a hallway in the style of <s0><s1>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dda563130e5aa441856fb53b9db7bab91d0bec355425b6677f44e06c3b9ef588
- Size of remote file:
- 186 MB
- SHA256:
- 926e237979220e77cfbb951e91b2ee14fd82783612de5ba09ea42c733d49d10b
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