Instructions to use Sofoklis/rna_bp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sofoklis/rna_bp with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sofoklis/rna_bp", 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
Upload StableDiffusionPipeline
Browse files- model_index.json +1 -1
- text_encoder/config.json +1 -1
- tokenizer/special_tokens_map.json +1 -7
- unet/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +2 -2
- vae/config.json +1 -1
model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "runwayml/stable-diffusion-v1-5",
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"feature_extractor": [
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"transformers",
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"CLIPImageProcessor"
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text_encoder/config.json
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{
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"_name_or_path": "/
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"architectures": [
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"CLIPTextModel"
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],
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{
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"_name_or_path": "/home/stud2020/strigkas/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/1d0c4ebf6ff58a5caecab40fa1406526bca4b5b9/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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tokenizer/special_tokens_map.json
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"rstrip": false,
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"single_word": false
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},
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"pad_token":
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<|endoftext|>",
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"unk_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/home/stud2020/strigkas/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/1d0c4ebf6ff58a5caecab40fa1406526bca4b5b9/unet",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:789e53f7b4aa211b200d45cd82647d8d9c30a2b51f7bc94bf5c7340509c70da0
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size 3450964080
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/home/stud2020/strigkas/.cache/huggingface/hub/models--runwayml--stable-diffusion-v1-5/snapshots/1d0c4ebf6ff58a5caecab40fa1406526bca4b5b9/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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