Instructions to use Oreoganos/mrydrmbth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Oreoganos/mrydrmbth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Oreoganos/mrydrmbth", 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 Oreoganos 👋, 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(Oreoganos/mrydrmbth)`.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.73606f4
-
Upload concept_images with huggingface_hub
df4e1ae -
Upload model_index.json with huggingface_hub
68b664a -
Upload vae with huggingface_hub
587a816 -
Upload unet with huggingface_hub
b2388d0 -
Upload tokenizer with huggingface_hub
166b644 -
Upload text_encoder with huggingface_hub
b96c167 -
Upload scheduler with huggingface_hub
29adfc2 -
Upload safety_checker with huggingface_hub
c7125ad -
Upload feature_extractor with huggingface_hub
4be422d -
Upload the concept mrydrmbth embeds and token
08edcf1 -
initial commit
60c5f38