Instructions to use cledoux42/JUGGALO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cledoux42/JUGGALO with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cledoux42/JUGGALO", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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Check out the documentation for more information.
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language: - en license: other tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - photorealistic - photoreal - diffusers inference: true
Make people look like they have Juggalo Face Makeup
🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion Pipeline.
from diffusers import StableDiffusionPipeline
import torch
model_id = "cledoux42/JUGGALO"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "A JUGGALO"
image = pipe(prompt).images[0]
image.save("./result.jpg")
License
This model is licesed under a CreativeML OpenRAIL-M license.
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