Instructions to use RareConcepts/pseudo-flex-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RareConcepts/pseudo-flex-v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RareConcepts/pseudo-flex-v2", 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
Bagheera Bghira
24300 steps of training, auto-pushed, adamw8bit optimizer, lr=6e-6, bsz=16*1, dropout=0.2, min-snr-gamma=5, ema=true, enabled datasets: mj-60, text-1mp, anatomy, cinemamix-1mp, photo-aesthetics, shutterstock, sports, yoga, nsfw-1024, architecture, ethnic, text-embeds-sd2x
7b1fa90 Download training_state/optimizer.bin from RareConcepts/pseudo-flex-v2: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/RareConcepts/pseudo-flex-v2/resolve/main/training_state/optimizer.bin
- Command line
-
hf download hf://RareConcepts/pseudo-flex-v2/training_state/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/RareConcepts/pseudo-flex-v2/resolve/main/training_state/optimizer.bin
6.93 GB
- Xet hash:
- f92bf9e10624418c39198de763ec55a62231e410760762078df49bf52bbd89d1
- Size of remote file:
- 6.93 GB
- SHA256:
- 3f18f6de572728f32375175e1d50cce820f9ca9c3d7646c98e51ef5aead408d6
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