Instructions to use Muapi/fondled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/fondled with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/fondled") 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

- Xet hash:
- 5931e84897dceebc5123222b6bbdd87e3345bdf0c4ec73d095eb03de67d1143c
- Size of remote file:
- 213 kB
- SHA256:
- 7b4e3faa269dbabaf51ec58fe7de6f15e54e2cfde625bb9dd0c1d80a5f7a8778
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