Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Chibi
Adorable
stable-diffusion
stable-diffusion-diffusers
Lasorco
Safetensors
Instructions to use Yntec/lametta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/lametta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/lametta", 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 text_encoder/model.fp16.safetensors from Yntec/lametta: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Yntec/lametta/resolve/main/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://Yntec/lametta/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/Yntec/lametta/resolve/main/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- c91afd327b9670c5ea786367a8634135bdc6505c503db56e8b79db9ef6ab11ef
- Size of remote file:
- 246 MB
- SHA256:
- c60448d8c06fe86c5276d953a32d5699edc1b4c8a658b4d46031ae2876e9b5a6
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