Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use codeiceman/chicken-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codeiceman/chicken-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("codeiceman/chicken-model") prompt = "I want to eat chicken" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 91d9c5df393d3d7cf6d65f281db7edd42743a6469844a56e3937b994dd2055a2
- Size of remote file:
- 3.23 MB
- SHA256:
- e13975a33c9731ed0f05ca92fef05fb9e51fa839261b738afa40a5e0ef68036d
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