Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
Instructions to use Raelina/RaemuXL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Raelina/RaemuXL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Raelina/RaemuXL", dtype=torch.bfloat16, device_map="cuda") 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
Support for diffusers model loading and fp16 variant loading
#1
by handsomesteve - opened
Hello, will it be possible to upload the unet, vae, text_encoder, text_encoder_2, tokenizer, tokenizer2 files into this repo? Particularly the fp16 variant as well. It will definitely help speed up loading and inference time.
Thank you!
Hello, I have uploaded the diffusers version for v3, and all of my models are already in fp16.
thank you
handsomesteve changed discussion status to closed