Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
lora
midjourney
midjourneyV5
Instructions to use Rardilit/Ciffusion_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Rardilit/Ciffusion_v0.1 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("Rardilit/Ciffusion_v0.1") 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:
- 3927cf71a5f5ee49279e4e2eac0e07ecd0ca50a8069c064f834bf720cd6187e1
- Size of remote file:
- 3.29 MB
- SHA256:
- 114011f91689d6c2d4a363b192f70e716f41a217418a11d89db0e1f667f33b58
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