Diffusers
English
stable-diffusion
stable-diffusion-diffusers
inpainting
art
artistic
anime
absolute-realism
Instructions to use diffusers/tools with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/tools with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/tools", 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
File size: 759 Bytes
6c27fdd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | #!/usr/bin/env python3
#!/usr/bin/env python3
from diffusers import StableDiffusionXLPipeline, AutoencoderKL
import torch
path = "stabilityai/stable-diffusion-xl-base-1.0"
vae_path = "madebyollin/sdxl-vae-fp16-fix"
# vae = AutoencoderKL.from_pretrained(vae_path, torch_dtype=torch.float16)
# pipe = StableDiffusionXLPipeline.from_pretrained(path, torch_dtype=torch.float16, vae=vae, variant="fp16", use_safetensors=True, local_files_only=True, add_watermarker=False)
pipe = StableDiffusionXLPipeline.from_pretrained(path, torch_dtype=torch.float16, variant="fp16", use_safetensors=True)
pipe.to("cuda")
prompt = "An astronaut riding a green horse on Mars"
steps = 20
for _ in range(5):
image = pipe(prompt=prompt, num_inference_steps=steps).images[0]
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