Instructions to use MirageML/fantasy-sword with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MirageML/fantasy-sword with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MirageML/fantasy-sword", 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
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (7d6184745edc084ecc03e06037a73935db7522f9) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>21bd883
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (74a7f6aebd51cf5ecff898b7dbbed08678f80fe3)677fcd3
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Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (ccceec80c3218ada067ae9548a9c441cb5c67a4c) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>350a791
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Upload to HuggingFace
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initial commit
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