| | --- |
| | license: other |
| | tags: |
| | - stable-diffusion |
| | - stable-diffusion-diffusers |
| | - text-to-image |
| | - diffusers |
| | inference: true |
| | --- |
| | Model info : https://civitai.com/models/81668/sweetmuse |
| |
|
| | 商用OK❤️ |
| |
|
| | Author's Twitter: https://twitter.com/minami_ai01 |
| | |
| | |
| | Sample image |
| |  |
| | |
| | |
| | Recently, |
| | diffusers converter I don't why,Model shows error, |
| | if you use this model in your diffusers, |
| | show some AutoencoderKL errors, |
| | don't worry, |
| | please use the codes below, |
| | you can still generate images :) |
| | |
| | |
| | ``` |
| | modelid="digiplay/SweetMuse_diffusers" |
| |
|
| | from diffusers.models import AutoencoderKL |
| |
|
| | vae = AutoencoderKL.from_pretrained("stabilityai/sd-vae-ft-mse") |
| | |
| | pipe = DiffusionPipeline.from_pretrained(modelid, vae=vae) |
| | ``` |
