Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ButterChicken98/pv_sls_v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ButterChicken98/pv_sls_v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ButterChicken98/pv_sls_v4", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of a sks leaf with small brown circular spots and yellow halos" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f4d4cf310224944999c30b4bcb82eb52f60b4d8467c9267eaea0300ea812a353
- Size of remote file:
- 7.86 GB
- SHA256:
- 27cf8edabcc62c8bef6be04990dbaa7d7a87cd49392ed85ad9ffbf79c7b4a1ac
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