Instructions to use Muapi/furrydalle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/furrydalle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/furrydalle") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 51cf95e0654fc2f4bbe2a64ecd1445346efc5f2e24b7e3a3e7f640acbd7c63c2
- Size of remote file:
- 436 kB
- SHA256:
- bd1fa2ae0f4ac864976807dcab10cec2bd577034f1815338936ab383814de6cd
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