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from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('sayakpaul/trained-sd3', torch_dtype=torch.float16).to('cuda')
image = pipeline('A photo of sks dog in a bucket').images[0]
License
Please adhere to the licensing terms as described
[here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md)
.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
Runs of sayakpaul trained-sd3 on huggingface.co
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More Information About trained-sd3 huggingface.co Model
trained-sd3 huggingface.co is an AI model on huggingface.co that provides trained-sd3's model effect (), which can be used instantly with this sayakpaul trained-sd3 model. huggingface.co supports a free trial of the trained-sd3 model, and also provides paid use of the trained-sd3. Support call trained-sd3 model through api, including Node.js, Python, http.
trained-sd3 huggingface.co is an online trial and call api platform, which integrates trained-sd3's modeling effects, including api services, and provides a free online trial of trained-sd3, you can try trained-sd3 online for free by clicking the link below.
sayakpaul trained-sd3 online free url in huggingface.co:
trained-sd3 is an open source model from GitHub that offers a free installation service, and any user can find trained-sd3 on GitHub to install. At the same time, huggingface.co provides the effect of trained-sd3 install, users can directly use trained-sd3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.