Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/metastasis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/metastasis 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_textual_inversion("anic87/metastasis") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-1000.bin from anic87/metastasis: direct link, hf CLI and curl.
- Browser
- Download file 49.9 kB
-
https://huggingface.co/anic87/metastasis/resolve/main/learned_embeds-steps-1000.bin
- Command line
-
hf download hf://anic87/metastasis/learned_embeds-steps-1000.bin
-
curl -L -o learned_embeds-steps-1000.bin https://huggingface.co/anic87/metastasis/resolve/main/learned_embeds-steps-1000.bin
49.9 kB
- Xet hash:
- 74b32b59ea3365c73b443862beb3c538f8e27df64643ca4f6e7854217048ee75
- Size of remote file:
- 49.9 kB
- SHA256:
- 3fdebadf30e8907fe6c82d2c1147b2c92b333162545dcc05e665d1a1ae97258e
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