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:
- f52080bcdc186ada5df38652fa0aa9c1e01cb40efd849a3e5e6b46483934633f
- Size of remote file:
- 1.52 MB
- SHA256:
- 2fa62204b0e46fe86646d81bd8edc4d6a24dd72914b509d359665524f763e365
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