Text-to-Image
Diffusers
Safetensors
StableDiffusion3Pipeline
diffusers-training
template:sd-lora
sd3
sd3-diffusers
Instructions to use camgitblame/hp3_512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camgitblame/hp3_512 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camgitblame/hp3_512", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks harrypotter" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- fb9493c3c98e5d5d363558fc1dd00805f108db813bb5ab65fcde8b60c44fa46e
- Size of remote file:
- 988 Bytes
- SHA256:
- 162ae09abe64c82985166dc353007ef0a00a4c42b9bb0b01021447b80ef2aafb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.