Text-to-Image
Diffusers
TensorBoard
diffusers-training
lora
flux2-klein
flux2-klein-diffusers
template:sd-lora
Instructions to use Retoe/shatfine2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Retoe/shatfine2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Retoe/shatfine2") 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
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Download README.md from Retoe/shatfine2: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/Retoe/shatfine2/resolve/main/README.md
- Command line
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hf download hf://Retoe/shatfine2/README.md
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curl -L -o README.md https://huggingface.co/Retoe/shatfine2/resolve/main/README.md
176 Bytes
| license: cc-by-nc-nd-4.0 | |
| library_name: diffusers | |
| tags: | |
| - text-to-image | |
| - diffusers-training | |
| - diffusers | |
| - lora | |
| - flux2-klein | |
| - flux2-klein-diffusers | |
| - template:sd-lora | |