Instructions to use GenerativeApex/apexbadges-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GenerativeApex/apexbadges-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GenerativeApex/apexbadges-v1", 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 GenerativeApex 👋, 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(GenerativeApex/apexbadges-v1)`.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.c7e6b6a
-
Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#2)
- Add `clip_sample=False` to scheduler to make model compatible with DDIM. (a8ca0b9308e45691f88c7f8266fd0cc79e5c5ecf) Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>47eeaaa
-
Update README.md
813242f -
Update README.md
f692eb7
-
Update README.md
c208e2c -
Update README.md
3e022ec -
Update README.md
7f1eb76
-
Update README.md
90f58c3 -
Upload concept_images with huggingface_hub
804efad -
Upload model_index.json with huggingface_hub
61a0024 -
Upload vae with huggingface_hub
d51adc8 -
Upload unet with huggingface_hub
de86052 -
Upload tokenizer with huggingface_hub
8636d78 -
Upload text_encoder with huggingface_hub
0891e4b -
Upload scheduler with huggingface_hub
a2e9b92 -
Upload safety_checker with huggingface_hub
25d7ae8 -
Upload feature_extractor with huggingface_hub
0ce5061 -
Upload the concept apexbadges-v1 embeds and token
f332ffd -
initial commit
9bb9a35