Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
MagicArt35
Instructions to use Achyuth4/ImMagician with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Achyuth4/ImMagician with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Achyuth4/ImMagician", 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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.bin from Achyuth4/ImMagician: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Achyuth4/ImMagician/resolve/main/vae/diffusion_pytorch_model.fp16.bin
- Command line
-
hf download hf://Achyuth4/ImMagician/vae/diffusion_pytorch_model.fp16.bin
-
curl -L -o diffusion_pytorch_model.fp16.bin https://huggingface.co/Achyuth4/ImMagician/resolve/main/vae/diffusion_pytorch_model.fp16.bin
167 MB
- Xet hash:
- 249af910095466243c15af6596efaba8beded41f4c6a93bfc2d8322d9205df19
- Size of remote file:
- 167 MB
- SHA256:
- 401508e79e184dbcedb2e31ca3886c981675c6f1df1af539aa13c2195362440d
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