Instructions to use 21j3h123/c0x001e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 21j3h123/c0x001e 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("21j3h123/c0x001e") prompt = "dripped out shrek sitting on a lambo" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("21j3h123/c0x001e")
prompt = "dripped out shrek sitting on a lambo"
image = pipe(prompt).images[0]README.md exists but content is empty.
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Model tree for 21j3h123/c0x001e
Base model
stabilityai/stable-diffusion-xl-base-1.0