Instructions to use zuruyu/instance-name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zuruyu/instance-name with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zuruyu/instance-name", 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
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.
Hey zuruyu 👋, Your model repository seems to contain logic to load a feature extractor that is deprecated, which you should notice by seeing the warning: ``` transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn( ``` when running `pipe = DiffusionPipeline.from_pretrained(zuruyu/instance-name)`.This PR makes sure that the warning does not show anymore by replacing `CLIPFeatureExtractor` with `CLIPImageProcessor`. This will certainly not change or break your checkpoint, but onlymake sure that everything is up to date. Best, the 🧨 Diffusers team.5f34431
-
Upload sample_images with huggingface_hub
23669f1 -
Upload model_index.json with huggingface_hub
65c127a -
Upload vae with huggingface_hub
71737db -
Upload unet with huggingface_hub
84e10f1 -
Upload tokenizer with huggingface_hub
5c387b7 -
Upload text_encoder with huggingface_hub
93d1dd0 -
Upload scheduler with huggingface_hub
bcaa03e -
Upload safety_checker with huggingface_hub
df49153 -
Upload feature_extractor with huggingface_hub
b213d93 -
Upload the concept {INSTANCE_NAME} embeds and token
602f42f -
initial commit
b7c586f