Instructions to use rdcoder/del_flt3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rdcoder/del_flt3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rdcoder/del_flt3", 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
Download feature_extractor/preprocessor_config.json from rdcoder/del_flt3: direct link, hf CLI and curl.
- Browser
- Download file 520 Bytes
-
https://huggingface.co/rdcoder/del_flt3/resolve/ebcd3b926bcac814dd3a60d10a78c5c2eb2fdc8a/feature_extractor/preprocessor_config.json
- Command line
-
hf download hf://rdcoder/del_flt3@ebcd3b926bcac814dd3a60d10a78c5c2eb2fdc8a/feature_extractor/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/rdcoder/del_flt3/resolve/ebcd3b926bcac814dd3a60d10a78c5c2eb2fdc8a/feature_extractor/preprocessor_config.json
520 Bytes
| { | |
| "crop_size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "CLIPFeatureExtractor", | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_processor_type": "CLIPFeatureExtractor", | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "shortest_edge": 224 | |
| } | |
| } | |